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Forget GPT-5! OpenAI Launches New AI Model: o1 Series

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Forget GPT 5 OpenAI Launches New AI Model o1 Series

Since the launch of GPT-4 in March 2023, users and developers have eagerly awaited the next development from OpenAI. GPT-4 marked a significant step forward in generative AI, particularly with its language capabilities. However, the anticipated release of GPT-5 is not what has come next. Instead, OpenAI has introduced a new family of models under the name “o1.” This launch includes two initial models: o1-preview and o1-mini.

This new line of AI models is designed with a focus on tackling more complex and challenging tasks than the previous GPT models. According to OpenAI, the new models can “reason through complex tasks and solve harder problems,”. Suggesting they are a more specialized and refined tool for specific fields.

Early Availability and Limitations

Currently, both o1-preview and o1-mini are accessible to ChatGPT Plus users, although usage is limited. Users are restricted to 30 messages per week with o1-preview and 50 with o1-mini. These limits are likely due to the models still being in an early stage of development. OpenAI has been clear that while these models show significant promise. They still lack many of the features that have made the GPT series widely popular.

For instance, the ability to browse the web, upload files, and generate images is not yet available with the o1 models. This limitation was highlighted by early testers who found that the models couldn’t create images for articles. OpenAI’s API platform also specifies that in its current beta state, the o1 models are only capable of supporting text-based tasks.

For those users who need these broader capabilities, OpenAI recommends sticking with GPT-4o, at least in the short term.

What Sets o1 Apart?

Despite some initial limitations, the new series offers significant advancements, particularly in specific fields such as science, healthcare, and technology. OpenAI envisions these models helping professionals solve complex challenges in these areas. From generating mathematical formulas in quantum optics to annotating cell sequencing data for medical research. The models also show great promise in coding, offering new tools for developers.

Forget GPT 5 OpenAI Launches New AI Model o1 Series 1

Developers, in particular, will benefit from the o1-mini model, which has been optimized for building and executing multi-step workflows. This includes everything from debugging code to efficiently solving programming challenges. The ability to handle these tasks efficiently makes it an attractive option for professionals in technical fields.

PhD-Level Performance with o1-Preview

One of the most significant claims OpenAI has made about the o1-preview model is its ability to perform at a level comparable to PhD students. This is particularly evident in fields like physics, chemistry, and biology. Where the model’s ability to “think” more critically and refine its responses has been highlighted.

The model’s performance in coding is equally impressive. In tests, it ranked in the 89th percentile in Codeforces competitions, which is a widely used platform for coding contests. This high rank suggests that the model is particularly adept at handling multi-step workflows, debugging, and generating precise solutions to complex coding problems.

Additionally, in the International Mathematics Olympiad (IMO) qualifying exams. 01-preview solved 83% of the problems, a substantial improvement over the 13% success rate of GPT-4o. This sharp increase in performance underscores the model’s potential in highly specialized areas that require deep reasoning and problem-solving abilities.

The o1-preview model is already available for use by ChatGPT Plus and Team users. Enterprise and educational users will gain access next week. Developers can also access the model through the OpenAI API if they qualify for API usage tier 5. However, usage limits are in place to prevent overload during this early stage.

o1-Mini: A Cheaper, Faster Option

In contrast to the o1-preview model, OpenAI has also introduced a more streamlined version known as o1-mini. While less powerful, o1-mini offers faster and cheaper reasoning capabilities. This model has been optimized primarily for coding and STEM tasks, delivering strong performance in math and programming-related areas.

Forget GPT 5 OpenAI Launches New AI Model o1 Mini A Cheaper, Faster Option

In the same IMO math benchmarks where o1-preview scored 83%, o1-mini achieved a 70% success rate. While this is slightly lower than its more advanced counterpart, it’s still a significant improvement over older models and comes at a much lower cost.

In coding, the o1-mini performed competitively, achieving an Elo score of 1650 on Codeforces, placing it among the top 86% of programmers. This strong performance, combined with its 80% lower price compared to o1-preview. Makes it an attractive option for developers and researchers. Who need reasoning capabilities but don’t require the broader knowledge base of the more advanced model.

o1-mini is available to ChatGPT Plus, Team, Enterprise, and Edu users. With plans to extend access to Free users in the future. This makes it an affordable and accessible solution for those looking to leverage advanced AI tools without incurring high costs.

Safety and Security Features

In addition to its reasoning capabilities, OpenAI has made safety a key focus in the development of the new models. Both o1-preview and o1-mini incorporate a new safety training approach designed to enhance the models’ ability to follow safety and alignment guidelines.

Safety and Security Features

In testing, o1-preview scored 84 on one of OpenAI’s toughest jailbreaking tests, a significant improvement over GPT-4o’s score of 22. This demonstrates the model’s ability to reason about safety rules in context, allowing it to handle unsafe prompts and avoid generating inappropriate content.

OpenAI’s commitment to safety extends beyond just the models themselves. The company has entered into agreements with the U.S. and U.K. AI Safety Institutes, providing early access to research versions of the o1 models to help evaluate and test future AI systems. These partnerships are part of OpenAI’s broader safety efforts, which include internal governance, regular testing, red-teaming, and oversight from the company’s Safety & Security Committee.

Future Developments

While the launch of o1-preview and o1-mini represents a significant step forward, OpenAI has made it clear that this is just the beginning. The company plans to regularly update and improve these models, adding features such as browsing, file and image uploading, and function calling, which are not yet available in the API version.

Looking ahead, OpenAI intends to continue developing both its GPT and o1 series, further expanding the capabilities of AI across various fields. As the company works to make these models more useful and accessible, users can expect ongoing advancements in how these tools can be applied to a wide range of professional and academic applications.

A GPT Consistency Breakthrough: Sharing My Best Experience

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A GPT Consistency Breakthrough Sharing My Best Experience

In the ever-evolving landscape of artificial intelligence, achieving consistent performance from advanced models like GPT can often feel like chasing a mirage. A GPT Consistency BreakthroughAfter numerous attempts and extensive experimentation, I believe I may have discovered a method that significantly enhances the reliability of these intricate models. I’m excited to share this potential breakthrough with the community, as it could pave the way for more predictable and dependable AI interactions.

The Challenge of GPT Consistency

One of the primary challenges when working with sophisticated GPT models is ensuring consistency. Whether it’s for generating content, answering queries, or assisting in complex tasks, maintaining a steady and reliable output is crucial. However, as many AI enthusiasts and professionals have experienced, achieving this level of consistency can be incredibly challenging.

A GPT Consistency Breakthrough Sharing My Best Experience 2

Over the past months, I’ve tried various strategies to stabilize GPT’s performance. These included tweaking prompts, adjusting settings, and even experimenting with different versions of the model. Despite these efforts, the results were often hit or miss, with fluctuations that made it difficult to rely on the AI for critical tasks.

GPT Consistency: In my quest for consistency, I stumbled upon an unconventional yet effective strategy. I began to think about the most precise and unambiguous documents I had encountered. The answer was clear: legal documents, particularly privacy policies. These documents are known for their meticulous attention to detail and explicit language, leaving little room for misinterpretation.

Inspired by this, I decided to create a prompt for GPT that mimicked the structure and tone of a legal document. This approach involved crafting the prompt with the same level of precision and clarity found in privacy policies, emphasizing key sections and instructions. The idea was to leave no room for ambiguity and to ensure that the AI followed the provided guidelines to the letter.

Crafting the Precise Prompt

Creating the precise prompt was a meticulous process. I enlisted the help of GPT itself to draft a document that was both detailed and straightforward. The prompt included a specific section that I could fill in with the task or query at hand. This section was highlighted and repeatedly emphasized throughout the document, ensuring that the AI understood the importance of adhering to the instructions within it.

GPT Consistency Prompt Structure

The resulting prompt structure resembled a legal document, with clear headings, subheadings, and explicit instructions. Here is a simplified version of the prompt structure I used:

GPT Consistency Prompt Structure:

  1. Introduction:
    • State the purpose of the document and the importance of following the instructions.
  2. Definitions:
    • Clearly define any terms or concepts that will be used in the prompt.
  3. Instructions:
    • Provide detailed and explicit instructions for the task or query.
    • Emphasize the key section that the AI must focus on.
  4. Key Section:
    • Include the specific task or query.
    • Reiterate the importance of this section and the need to follow it precisely.
  5. Conclusion:
    • Summarize the instructions and the expected outcome.

Observing the GPT Consistency Results

The impact of this structured prompt was immediate and profound. The difference in GPT’s performance was like night and day. The AI’s responses became significantly more consistent, with a marked reduction in errors and deviations from the instructions. Tasks that previously yielded varied results were now completed with a high degree of accuracy and reliability.

To ensure that this improvement wasn’t a fluke, I tested the new prompt structure extensively across different tasks and queries. The results were consistently positive, demonstrating that the legal document-inspired prompt significantly enhanced the AI’s reliability.

Moving Forward

While it’s still early days, and only time will tell if this method continues to deliver consistent results, the initial outcomes are promising. This breakthrough has the potential to transform how we interact with advanced GPT models, providing a more dependable and efficient tool for various applications.

only time will tell if this method continues to deliver consistent results

For those facing similar challenges with AI consistency, I encourage you to experiment with this approach. Craft your prompts with the precision and clarity of a legal document, emphasizing key sections and instructions. You may find, as I did, that this method brings a new level of reliability to your AI interactions.

Final Thoughts

The journey to achieving consistent AI performance is ongoing, and each breakthrough brings us closer to harnessing the full potential of these powerful models. By sharing this experience, I hope to contribute to the collective knowledge and inspire others to explore innovative approaches in their AI endeavors.

As we continue to refine and optimize our interactions with GPT, methods like the legal document approach may become invaluable tools in our quest for consistency and precision in the world of artificial intelligence.

The New Future Of AI Chatbots: The Best Alternatives To ChatGPT

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The New Future Of AI Chatbots The Best Alternatives To ChatGPT

Introduction

“Artificial Intelligence” AI chatbots have revolutionized the way we interact with technology. Since the debut of ChatGPT by OpenAI, the landscape of AI-powered conversational agents has expanded rapidly, leading to a highly competitive environment. This article delves into the most intriguing AI chatbots available today, highlighting their unique features, capabilities, and potential use cases.

The Rise of AI Chatbots

ChatGPT: The Pioneer

ChatGPT, developed by OpenAI, was the first AI chatbot to gain widespread usage. Known for its ability to generate human-like text based on user prompts, ChatGPT set the standard for conversational AI. Its versatility in generating content, answering questions, and engaging in dialogues has made it a popular tool for various applications.

The New Future Of AI Chatbots Alternatives To ChatGPT

The New Contenders

As the demand for more sophisticated AI chatbots grew, several new models emerged, each offering unique features. These new contenders aim to address some of the limitations of ChatGPT, such as conversation memory, empathetic responses, and integration with factual data.

AI Chatbots to Watch

Here, we explore some of the most promising AI chatbots that have emerged as strong competitors to ChatGPT.

1. Claude: The Memory Master

Claude is an AI chatbot known for its extensive conversation memory. Unlike other models that may forget the context of a conversation after a few exchanges, Claude can retain information for longer periods, making interactions more coherent and contextually relevant.

2. Microsoft Bing AI: Multifaceted and Powerful

Microsoft Bing AI stands out for its ability to perform text, image, and web searches. This chatbot leverages Bing’s search capabilities to provide accurate and up-to-date information, making it an excellent tool for research and information retrieval.

3. Google Gemini: Seamless Integration

Google Gemini integrates seamlessly with Google apps, offering a unified experience across different platforms. Whether you need assistance with emails, documents, or calendar events, Google Gemini can help streamline your workflow.

4. Meta AI: Open and Accessible

Meta AI operates under an open license, allowing developers to customize and extend its functionalities. This flexibility makes Meta AI a valuable resource for those looking to build tailored AI solutions.

5. Zapier Central: Automation at Its Best

Zapier Central is not just an AI chatbot but an automation powerhouse. It connects various apps and services, enabling users to automate repetitive tasks and create complex workflows with ease.

Specialized AI Chatbots

In addition to the general-purpose chatbots, there are specialized AI chatbots designed for specific use cases.

6. Pi: Personal Use

Pi is tailored for individual use, providing personalized recommendations and assistance based on the user’s preferences and habits.

7. Poe: Versatility in AI Models

Poe offers access to a variety of AI models, allowing users to choose the one that best suits their needs. This versatility makes it a valuable tool for experimenting with different AI capabilities.

8. Grok: Unfiltered Conversations

Grok is known for its unfiltered and candid responses. While this can be entertaining, users should be cautious about the information provided by Grok.

The New Future Of AI Chatbots The Best

9. HuggingChat: Open Source Excellence

HuggingChat is an open-source AI chatbot that allows developers to modify and improve its functionalities. This open approach fosters innovation and collaboration within the AI community.

10. YouChat and KoalaChat: Web Search Specialists

YouChat and KoalaChat excel at performing web searches, providing users with accurate and relevant information. These chatbots are particularly useful for deep dives into online content.

11. Copy.ai’s Chat and Jasper Chat: Content Creation

For those involved in content creation, Copy.ai’s Chat and Jasper Chat offer powerful tools to generate high-quality text for various purposes, from marketing copy to creative writing.

12. ZenoChat and Chatsonic: Diverse Applications

ZenoChat and Chatsonic are versatile chatbots suitable for a wide range of applications, including customer support, virtual assistance, and entertainment.

13. ChatSpot: Marketing and Sales

ChatSpot is designed specifically for marketing and sales, helping businesses engage with customers, generate leads, and close deals more effectively.

14. Personal AI: Messaging

Personal AI focuses on enhancing messaging experiences, offering features like auto-reply, message suggestions, and conversation analysis.

15. DeepAI Chat and OpenAI Playground: Experimentation

For those who enjoy experimenting with AI, DeepAI Chat and OpenAI Playground provide platforms to test and explore different AI models and their capabilities.

16. Character.AI: Fun and Entertainment

Character.AI is designed for amusement, offering engaging and entertaining interactions with AI-generated characters.

17. Snapchat My AI: Social Media Integration

Snapchat My AI integrates with social media, providing users with interactive and engaging experiences directly within their favorite platforms.

18. Khanmigo: Educational Tool

Khanmigo, developed by Khan Academy, is an educational chatbot that assists students with learning and studying. It offers personalized tutoring and support across various subjects.

19. Chatty Butler and ChatOn: Mobile Assistance

Chatty Butler and ChatOn are mobile-focused chatbots that offer assistance with everyday tasks, from setting reminders to finding information on the go.

20. GitHub for Coding: Auto-complete

For developers, GitHub offers AI-powered coding auto-complete tools like Amazon Copilot, CodeWhisperer, Codeium, and Tabnine, which streamline the coding process and boost productivity.

Creating Your Own

Creating Your Own AI Chatbot

If none of the existing AI chatbots meet your needs, you can create your own using tools like Zapier Chatbots. These platforms offer customizable solutions to build chatbots tailored to your specific requirements.

Looking Ahead

The AI chatbot landscape is constantly evolving, with new models and features emerging regularly. By the time you read this, there may be even more advanced and innovative chatbots available. However, the chatbots listed here represent some of the most intriguing and capable options currently on the market.

Essential Features of an AI Chatbot

Understanding ChatGPT’s Operation

Before diving into the features that make an AI chatbot exceptional, it’s crucial to understand how ChatGPT, one of the most well-known AI chatbots, operates. This understanding will help you appreciate the diverse functionalities that modern chatbots offer.

How ChatGPT Works

OpenAI’s ChatGPT allows users to interact with AI models, including the latest GPT-4 (available on paid tiers) and GPT-4 mini. When you input a prompt into the ChatGPT app, the app transfers this prompt to the AI model. The model processes the prompt, interprets your input, and performs the necessary computations to generate a response. This response is then sent back to the app, which presents it in a conversational format. The app also handles additional features, such as storing your conversation history.

Many chatbots use OpenAI’s GPT models. Even though they use the same underlying engine, developers can customize the model’s responses by passing extra commands. Some chatbots use proprietary non-GPT models developed by their creators.

Key Features to Look for in an AI Chatbot

When evaluating AI chatbots, consider the following essential features:

1. Precision and Promptness

Accuracy is paramount. An AI chatbot must provide accurate and timely responses. While many chatbots use similar underlying models, their ability to deliver precise information varies. Exclude platforms that consistently provide inaccurate or incomprehensible information, as these can hinder effective communication.

2. Accessibility

Ease of access is critical. Using a chatbot should not require complex setup or technical knowledge. A user-friendly interface ensures that interacting with the AI is quick and straightforward, much like ChatGPT’s seamless and free-to-use platform.

3. Conversation Experience

The primary mode of interaction with AI chatbots is through a chat window. A smooth conversational experience, where the chatbot can understand and respond appropriately to prompts, is vital. While different chatbots might offer various methods of communication, the core experience should remain intuitive and engaging.

4. Extra Attributes

Additional features enhance the functionality of AI chatbots. These can include:

  • Internet Connectivity: The ability to search the web and provide real-time information.
  • Multi-language Support: Catering to a global audience by supporting multiple languages.
  • Customization Options: Allowing users to tailor the chatbot’s responses to better suit their needs.
Top AI to Explore

Top AI Chatbots to Explore

Based on these criteria, here are some of the top AI chatbots worth exploring:

1. Claude

Claude excels in maintaining long conversation memory, making it ideal for in-depth discussions that require context retention over multiple interactions.

2. Microsoft Bing AI

This chatbot leverages Microsoft’s Bing search engine to provide comprehensive text, image, and web search capabilities, ensuring users receive accurate and up-to-date information.

3. Google Gemini

Google Gemini integrates seamlessly with Google apps, offering a unified experience across various platforms. It assists with emails, documents, and calendar events, streamlining your workflow.

4. Meta AI

Operating under an open license, Meta AI allows developers to customize and extend its functionalities, making it a versatile tool for building tailored AI solutions.

5. Zapier Central

Zapier Central is an automation tool that connects various apps and services, enabling users to automate repetitive tasks and create complex workflows effortlessly.

6. Pi

Designed for personal use, Pi offers personalized recommendations and assistance based on user preferences and habits.

7. Poe

Poe provides access to a variety of AI models, allowing users to choose the best one for their specific needs, making it a versatile tool for experimentation.

8. Grok

Grok is known for its candid and unfiltered responses, offering an entertaining but cautionary interaction experience.

9. HuggingChat

HuggingChat is an open-source AI chatbot that fosters innovation and collaboration within the AI community by allowing developers to modify and enhance its functionalities.

10. YouChat and KoalaChat

These chatbots specialize in web searches, providing users with accurate and relevant information for deep dives into online content.

11. Copy.ai’s Chat and Jasper Chat

For content creators, Copy.ai’s Chat and Jasper Chat offer powerful tools to generate high-quality text for various purposes, from marketing copy to creative writing.

12. ZenoChat and Chatsonic

Versatile and suitable for various applications, ZenoChat and Chatsonic excel in customer support, virtual assistance, and entertainment.

Top to Explore

13. ChatSpot

Designed for marketing and sales, ChatSpot helps businesses engage with customers, generate leads, and close deals more effectively.

14. Personal AI

Personal AI enhances messaging experiences with features like auto-reply, message suggestions, and conversation analysis.

15. DeepAI Chat and OpenAI Playground

Ideal for AI enthusiasts, DeepAI Chat and OpenAI Playground offer platforms to test and explore different AI models and their capabilities.

16. Character.AI

Character.AI provides engaging and entertaining interactions with AI-generated characters, perfect for amusement.

17. Snapchat My AI chatbots

Snapchat My AI integrates with social media, offering interactive and engaging experiences within popular platforms.

18. Khanmigo

Developed by Khan Academy, Khanmigo is an educational chatbot that offers personalized tutoring and support across various subjects.

19. Chatty Butler and ChatOn

These mobile-focused chatbots assist with everyday tasks, from setting reminders to finding information on the go.

20. GitHub for Coding

For developers, GitHub’s AI-powered coding auto-complete tools like Amazon Copilot, CodeWhisperer, Codeium, and Tabnine streamline the coding process and boost productivity.

Conclusion

AI chatbots have come a long way since the introduction of ChatGPT. With advancements in technology and increasing competition, the capabilities and functionalities of AI chatbots continue to improve. Whether you need a chatbot for personal use, business automation, content creation, or simply for fun, there is an AI chatbot out there to meet your needs. Keep an eye on these top contenders as the world of AI continues to expand and evolve.

How To Recover From Failed Startup: The New Guide

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How To Recover From Failed Startup The New Guide 2

Most entrepreneurs who start new businesses understand that failure is a significant possibility, but they optimistically hope that their startup will defy the odds and become massively successful. No matter how hopeful you are—or how skilled you are as an entrepreneur—a failed startup is never more than a few bad decisions away. We will talk bout how to recover from failed startup.

A startup failing isn’t necessarily a reflection of your abilities, but it can hurt both your ego and your wallet. How do you recover from a failed startup and maximize your chances of success the second time around?

How To Recover From Failed Startup: Make the Final Decision

Before you get too far into the process, you’ll need to finalize your decision and take the actions necessary to dissolve your business and prepare for the consequences of losing it. Most businesses aren’t permanently closed because of financial difficulties or some threatening external event; rather, entrepreneurs make the decision to close a business once they realize there’s no way out.

If your business is failing, that doesn’t necessarily mean it will continue failing in the future. A struggling business can recover by means of revitalized marketing strategies, cost-cutting measures, new product development, rebranding, and other strategies. But if you’ve already tried these and you’re out of options, or if you’re ready to throw in the towel, it may be time to make the final call.

This is a major decision that you can’t easily walk back, so make sure you’re in a clear-headed, unemotional state of mind when you make it—and make sure you have all the information necessary to ensure you make a logical call.

How To Recover From Failed Startup The New Guide

Audit Your Finances To Recover From Failed Startup

As you prepare to close your business, closely audit your finances. Take inventory of your standing debts as well as outstanding accounts and speculate which of your assets can be easily liquidated. If your business is in a difficult financial position, closing the business can be complicated; in some situations, the right move may be to declare bankruptcy.

According to attorney Rowdy G. Williams, “People sometimes see bankruptcy as a singular monolith, but the reality is that there are many types of bankruptcy. The type of bankruptcy you choose will impact how much debt will be discharged, and how long the process will take.”

Working with a lawyer, you can determine whether bankruptcy is the right move for closing your business, and if so, which type of bankruptcy would be most appropriate. Otherwise, you’ll need to keep a close eye on your assets, liabilities, and transactions as you begin to shut the startup down.

How To Recover From Failed Startup The New Guide 3

Facilitate an Organized, Orderly Shutdown

An organized, orderly shutdown is going to be quicker, less stressful, more legally sound, and easier on the people around you. Accordingly, you owe it to yourself and to everyone else in your business to remain as structured and professional as possible during the shutdown.

Work with Decision Makers

Consult with major decision-makers in your business if you haven’t already. Depending on the structure and nature of your business, you may need them on board with your decision before you begin to follow through.

Collect Outstanding Accounts

At some point, you’ll need to collect on outstanding accounts. This can help you reconcile your final finances and receive some money to settle any outstanding debts.

Inform Your Staff

Think carefully about how you want to inform your staff. In most cases, it pays to let them know as early as possible and as sympathetically as possible. Give people time, direction, and resources so they can properly process what’s happening and set a course for their futures. Make sure you explain your reasoning for shutting the business down as well.

How To Recover From Failed Startup The New Guide 1

Inform Your Customers

You’ll also need to inform your customers. Give them full instructions on how they should handle this, and consider recommending alternative product and service providers who can fill their needs.

File the Necessary Documents

Depending on your type of business and where it’s located, you’ll likely need to file some paperwork to formally dissolve or close your business.

Plan for Taxes

Even if your business is closed, you’ll likely still have some tax obligations. Consult with a tax advisor to ensure you’re planning for those taxes properly.

Cancel Your Licenses and Permits

If you have any licenses or permits for your business, now is the time to cancel them.

Distribute Assets and Close Accounts

Finally, you’ll be ready to make a final distribution of assets and close any of your active accounts.

Initiate a Postmortem

As you begin delving into the final closure of your startup, or after you’re all done, consider initiating a postmortem analysis. Essentially, your goal is to figure out what went wrong so that you can prevent something similar in your next venture.

How To Recover From Failed Startup The New Guide 4

What was the root cause of your business’s failure? And what were the intermediate causes? Don’t make any snap judgments. Dig deep into the details to see if there’s anything you might have missed.

These are some of the best places to find clues:

Financial Documents

A company’s finances can tell you nearly everything about how it operates. You can quickly identify any financial strategies that disrupted your business and pinpoint moments in time when momentum began to shift.

Interviews and Discussions

It’s also a good idea to conduct interviews and hold discussions with other people who were active in your business. Leaders and decision-makers can give you a high-level perspective of what they think went wrong. Lower-level employees may have critical ground-level insights that leaders might lack.

Major Decisions and Resulting Outcomes

Focus on major decisions that you made throughout the course of your business and whether you could have made an alternative decision in each scenario that would have turned out differently. Hindsight is 20/20, of course, but this exercise is valuable in helping you make better decisions in the future.

Major Decisions and Resulting Outcomes

External Threats

Review any external threats that played a role in the demise of your business as well. New competitors, economic turmoil, and changes in market dynamics can all play a role in compromising the integrity of your startup.

Take Some Time (If You Can)

Losing a startup you loved and worked so hard on can be incredibly difficult. Just as you wouldn’t want to return to work after losing a loved one, you shouldn’t immediately dive into a new venture the day your first business closes. Even if you feel okay with the situation, it’s wise to take a few weeks, or even a few months to process what happened, relax, and reset your frame of mind so you can start your next venture on an even footing.

Take Accountability (But Go Easy on Yourself)

You’ll greatly increase your chances of success if you can take full accountability for all your decisions and actions that may have contributed to the failure of your business. Yes, there were variables and factors outside of your control, but focusing on them isn’t going to help you succeed. You can only control your own actions and behaviors, so this is where the locus of change needs to be.

At the same time, don’t beat yourself up. Even the best entrepreneurs in the world experience failure and make egregious mistakes. What separates them from other entrepreneurs is that they learn from them and move on.

Consider Your Future

You don’t have to start a new business. You could also transform your old business idea into something new, start a new career, or take your experience and find a position that complements your new skill set. Think critically about all your options before you decide to move forward.

Consider Your Future

Prepare yourself to Recover From Failed Startup

If you do plan on starting a new business, take some time to prepare.

Classes

Many classes can help you cultivate skills or new knowledge to become a better entrepreneur.

Recover From Failed Startup Research

You can also start researching new possibilities, and potentially drafting business plans for your new ideas.

Connections

Don’t forget to network! Ongoing networking habits can help you find new mentors, partners, investors, employees, and even customers.

Learning and Moving Forward

It’s tempting to think of the failure of your startup as the end of a journey. But it’s also the beginning of a new one. If you can fully and properly recover from a failed startup, you can use your new knowledge and experience to start something even better.

Embracing the Lessons Learned: How to Recover From Failed Startup

Reflecting on the experience of running your startup, there are valuable lessons to be learned that can shape your future endeavors. Understanding what went wrong, and what went right, can provide crucial insights that help you navigate future challenges more effectively.

Embracing the Lessons Learned

Analyzing Your Business Model

One of the primary areas to scrutinize is your business model. Was your revenue model sustainable? Did your pricing strategy resonate with your target market? Re-evaluating these components can help you develop a more robust business plan for future ventures.

Customer Feedback

Customer feedback can also be a goldmine of information. Engage with your past customers and ask for their honest opinions about your products or services. What did they like? What did they dislike? This feedback can guide you in refining your offerings and better meeting customer needs in the future.

Building a Resilient Mindset

The psychological aspect of recovering from a failed startup cannot be underestimated. Building a resilient mindset is crucial. Embrace the failure as a learning experience rather than a defeat. This mental shift can empower you to take on new challenges with greater confidence and determination.

Recover From Failed Startup: Seeking Support

Don’t hesitate to seek support from mentors, peers, and professional networks. Discussing your experiences and getting advice from seasoned entrepreneurs can provide new perspectives and boost your morale.

Exploring New Opportunities

With the lessons learned and a refreshed mindset, it’s time to explore new opportunities. The business landscape is ever-changing, and new trends emerge constantly. Stay informed about industry developments and be open to pivoting your business ideas based on market demands.

Exploring New Opportunities

Innovation and Adaptability

Innovation and adaptability are key to succeeding in the modern business world. Consider how you can integrate new technologies or adapt to changing consumer behaviors. Being flexible and innovative can give you a competitive edge in your next venture.

Setting Realistic Goals

When embarking on a new venture, set realistic and achievable goals. Break down your long-term vision into smaller, actionable steps. This approach not only makes the process more manageable but also allows you to celebrate small wins along the way, keeping you motivated and focused.

Developing a Strong Team and How To Recover From Failed Startup

Building a strong, dedicated team is essential for the success of any startup. Learn from your previous experience and focus on hiring individuals who complement your skills and share your vision. A cohesive team can drive your business forward and help navigate the inevitable challenges.

Effective Marketing Strategies

In today’s digital age, effective marketing is crucial for business success. Invest time in understanding the latest marketing trends and tools. Utilize social media, content marketing, and search engine optimization to reach a wider audience and build a strong online presence.

Effective Marketing Strategies

Financial Management: Recover From Failed Startup

Improving your financial management skills can prevent many of the pitfalls that lead to startup failure. Consider working with a financial advisor or taking courses in financial planning. Ensuring a healthy cash flow and making informed financial decisions can significantly enhance your business’s stability.

Continuous Learning and Improvement

Finally, commit to continuous learning and improvement. The business world is dynamic, and staying ahead requires a dedication to ongoing education. Attend workshops, read industry publications, and participate in networking events to stay informed and inspired.

Conclusion:

Recovering from a failed startup is a challenging but rewarding process. By making thoughtful decisions, learning from your experiences, and preparing diligently for your next venture, you can turn failure into a stepping stone toward greater success. Remember, many successful entrepreneurs have faced setbacks and failures before achieving their goals. With resilience, determination, and the right strategies, you too can bounce back stronger and more prepared for the journey ahead.

AI In The Modern Workplace: New Productivity Creativity Efficiency

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AI In The Modern Workplace New Productivity Creativity Efficiency

In today’s fast-paced and competitive business environment, organizations are continuously seeking innovative solutions to enhance productivity, creativity, and efficiency. Artificial Intelligence (AI) has emerged as a powerful tool, transforming how we work, brainstorm, edit, and explore new ideas. This article delves into the multifaceted benefits of AI in the workplace, exploring its impact on summarizing meetings, generating and debugging code, and automating repetitive tasks.

AI and Idea Generation

One of the most significant advantages of Artificial Intelligence is its ability to assist in idea generation and brainstorming. Traditionally, brainstorming sessions relied heavily on human input, often limited by the participants’ perspectives and experiences. AI, however, can analyze vast amounts of data and provide fresh insights that might not be immediately apparent to humans.

Enhancing Creativity with AI

AI algorithms can sift through extensive datasets to identify patterns and correlations that can inspire new ideas. For instance, marketing teams can leverage Artificial Intelligence to analyze consumer behavior, social media trends, and market dynamics, generating innovative campaign ideas that resonate with the target audience. By offering a broader range of possibilities, AI expands the creative potential of human teams, leading to more diverse and impactful solutions.

AI In The Modern Workplace New Productivity Creativity Efficiency 2

Collaborative Brainstorming

AI-powered tools can facilitate collaborative brainstorming sessions by providing real-time suggestions and feedback. Platforms like IBM’s Watson or OpenAI’s GPT-4 can interact with team members, posing questions, suggesting alternatives, and refining ideas. This interactive approach ensures that brainstorming sessions are dynamic and productive, leading to more refined and actionable ideas.

Summarizing Meetings for Better Decision-Making

Meetings are an integral part of any organization, but they can also be time-consuming and, at times, inefficient. Artificial Intelligence has the potential to revolutionize how we conduct and derive value from meetings by providing automated summarization and analysis.

Real-Time Meeting Summarization

AI-powered tools like Otter.ai and Zoom’s Artificial Intelligence integration can transcribe meetings in real-time, creating accurate and comprehensive summaries. These tools can highlight key points, action items, and decisions made during the meeting, ensuring that nothing is overlooked. This allows team members to focus on the discussion rather than taking notes, leading to more engaged and productive meetings.

Enhanced Follow-Up and Accountability

Automated summaries also facilitate better follow-up and accountability. By clearly outlining action items and assigning responsibilities, AI-generated summaries ensure that everyone knows their tasks and deadlines. This reduces the likelihood of misunderstandings and enhances overall project management efficiency.

Increasing Productivity Through Code Generation and Debugging

For software development teams, Artificial Intelligence offers significant benefits in generating and debugging code. These capabilities not only speed up the development process but also improve the quality and reliability of the code.

AI In The Modern Workplace New Productivity Creativity Efficiency 1

AI-Assisted Code Generation

AI tools like GitHub Copilot and Tabnine can assist developers by generating code snippets based on natural language prompts. This allows developers to quickly implement common functions and components, reducing the time spent on routine coding tasks. Additionally, AI-generated code can serve as a starting point for more complex implementations, providing developers with a solid foundation to build upon.

Streamlining Debugging Processes

Debugging is often a tedious and time-consuming process. AI-powered debugging tools can analyze code, identify potential issues, and suggest fixes. These tools can also learn from past debugging sessions, continuously improving their accuracy and effectiveness. By automating the debugging process, developers can focus on more strategic tasks, enhancing overall productivity and code quality.

Automating Repetitive Tasks

Repetitive tasks can drain valuable time and energy from employees, hindering their ability to focus on more critical and strategic activities. AI-driven automation offers a solution by taking over these mundane tasks, allowing employees to allocate their time and effort more effectively.

Automating Administrative Tasks

AI can automate a wide range of administrative tasks, from scheduling meetings and managing emails to processing invoices and generating reports. Tools like Zapier and Microsoft Power Automate can integrate with various software applications, creating automated workflows that streamline routine processes. This not only saves time but also reduces the risk of human error, ensuring greater accuracy and efficiency.

Enhancing Customer Service

AI-powered chatbots and virtual assistants are transforming customer service by providing instant and accurate responses to customer inquiries. These tools can handle a high volume of queries simultaneously, ensuring that customers receive timely support. Additionally, Artificial Intelligence can analyze customer interactions to identify common issues and suggest improvements, leading to a better overall customer experience.

AI In The Modern Workplace New Productivity Creativity Efficiency 3

The Future of AI in the Workplace

The integration of AI into the workplace is still in its early stages, but its potential is vast. As AI technology continues to evolve, we can expect even more advanced and sophisticated applications that further enhance productivity, creativity, and efficiency.

Ethical Considerations and Challenges

While AI offers numerous benefits, it also raises important ethical considerations and challenges. Organizations must ensure that AI is used responsibly, with a focus on transparency, fairness, and accountability. This includes addressing potential biases in Artificial Intelligence algorithms, protecting employee privacy, and ensuring that AI-driven decisions are explainable and justifiable.

Continuous Learning and Adaptation

To fully harness the power of Artificial Intelligence, organizations must foster a culture of continuous learning and adaptation. This involves investing in employee training and development, ensuring that teams are equipped with the skills and knowledge needed to work effectively with Artificial Intelligence tools. By embracing a growth mindset, organizations can stay ahead of the curve and maximize the benefits of AI.

Conclusion:

AI is transforming the modern workplace, offering unprecedented opportunities to enhance productivity, creativity, and efficiency. From idea generation and meeting summarization to code generation and task automation, AI-powered tools are revolutionizing how we work and collaborate. As AI technology continues to advance, organizations that embrace its potential and address its challenges will be well-positioned to thrive in the digital age. By leveraging Artificial Intelligence, businesses can unlock new levels of innovation and performance, driving success in an increasingly competitive landscape.

The New Attempted Attack To Former President Donald Trump

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The New Attempted Attack To Former President Donald Trump

Overview

On July 13, 2024, a rally for former President Donald Trump in Butler, Pennsylvania. It was abruptly disrupted by an attempted attack. The incident, which occurred during Trump’s speech, led to immediate action from the Secret Service. This article provides a comprehensive account of the event. The response, and the ongoing investigation, drawing from multiple credible sources.

The Incident

Disruption During Speech

The rally, part of Trump’s 2024 presidential campaign. Saw a dramatic turn when gunshots were heard as Trump was presenting border crossing statistics. Witnesses reported seeing Trump react to the noise, extending his right hand toward his neck, where blood was visible. The atmosphere quickly shifted to panic as the crowd processed the situation​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Republican presidential candidate Donald Trump holds a campaign rally in Butler

Swift Response by Secret Service

The Secret Service acted promptly, forming a protective barrier around Trump and escorting him off the stage. Reports indicate that Trump had blood on his face, specifically his right ear. And was given immediate medical attention by his security detail before being evacuated from the venue. Despite the chaos, Trump managed to signal to his supporters with a raised fist before being led away​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Crowd Reaction and Evacuation

The gunshots caused widespread panic among rally attendees. Many fled the scene in fear, while others remained in shock, unsure of what had transpired. The Secret Service’s rapid response was critical in preventing further harm, but the emotional impact on the crowd was significant. Authorities worked quickly to secure the area and manage the evacuation process​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Investigation and Security Measures

Secret Service agents escorting Trump off the stage

Shooter Neutralized

Authorities confirmed that the shooter was neutralized at the scene. The identity and motives of the attacker remain under investigation. Law enforcement agencies are collaborating to gather evidence and understand the circumstances leading to the attack. The swift neutralization of the shooter underscores the preparedness of the security forces present at the rally​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Enhanced Security Protocols

In light of this incident, security measures at political events are expected to be reviewed and enhanced. The Secret Service and other law enforcement agencies are likely to implement stricter protocols to prevent similar occurrences in the future. The incident serves as a stark reminder of the risks faced by high-profile political figures and the importance of robust security arrangements​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Political and Public Reactions

Reactions to the attempted attack have been swift and varied. Supporters of Trump expressed their concern and support, emphasizing the need for unity and denouncing the violence. Political figures from both sides of the aisle condemned the attack, highlighting the importance of maintaining the safety and integrity of the democratic process. Social media platforms have been abuzz with reactions, ranging from shock and outrage to calls for enhanced security measures​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Context and Implications

Crowd reaction immediately after the gunshots

Trump’s Campaign Strategy

The Butler rally was a key event in Trump’s campaign trail, aimed at galvanizing support in a crucial battleground state. Pennsylvania’s significance in the electoral map made this rally particularly important. The incident is likely to impact the campaign’s strategy, with a heightened focus on security and the potential for changes in how future events are conducted​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Historical Context

This is not the first time Trump has faced security threats during his political career. Previous incidents have highlighted the contentious and polarized nature of his public appearances. The attempted attack in Butler adds to a series of security challenges that have marked Trump’s time in the political spotlight​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Future Campaign Events

In the wake of the Butler incident. Future campaign events for Trump and other political figures are expected to see increased security measures. The Secret Service will likely review and enhance their protocols to ensure the safety of candidates and attendees. The incident may also influence the format and location of future rallies and public appearances​ (Yahoo News – Latest News & Headlines)​​ (Rumble)​.

Conclusion:

The attempted attack on former President Donald Trump at his Butler rally is a significant and alarming event in the 2024 presidential campaign. The quick response by the Secret Service prevented a potential tragedy, but the incident highlights the ongoing risks and challenges in securing political events. As investigations continue and more details emerge, the focus will be on ensuring the safety of all involved in the democratic process.

References

  • “Shooter at Trump Rally in Butler, PA ‘Neutralized,’ Sources Say” – Yahoo News​ (Yahoo News – Latest News & Headlines)​
  • “Assassination Attempt on President Trump in Butler, PA” – Rumble​ (Rumble)

OpenAI GPT-5 Launch Imminent New Pressure The AI Competition

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OpenAI GPT 5 Launch Imminent New Pressure The AI Competition 1

The anticipation for OpenAI’s GPT-5 has reached a fever pitch as the AI community and industry leaders brace for its impending launch. With the success of its predecessors. This article explores the potential impact of GPT-5 on the AI landscape, the innovations it promises, and the pressure it places on competitors.

The Evolution of GPT to OpenAI GPT-5

From GPT-1 to GPT-4: A Brief Overview

OpenAI’s Generative Pre-trained Transformer (GPT) series has revolutionized the field of natural language processing (NLP). Starting with GPT-1, which had 117 million parameters, each successive iteration has seen exponential growth in capabilities and complexity. GPT-2, with 1.5 billion parameters, demonstrated substantial improvements in text generation. However, it was GPT-3, with 175 billion parameters, that truly captured global attention by showcasing unprecedented levels of fluency and coherence in generated text.

OpenAI GPT 5 Launch Imminent New Pressure The AI Competition 2

GPT-4 continued this trajectory, integrating more sophisticated algorithms and larger datasets to improve contextual understanding and reduce biases. Its applications spanned across various domains. From customer service to creative writing to pushing the boundaries of what was thought possible with AI.

Key Innovations in GPT-4

GPT-4 introduced several critical advancements:

  • Enhanced Fine-Tuning: Fine-tuning capabilities allowed for more specialized applications, making GPT-4 adaptable across industries.
  • Reduced Bias: Efforts to mitigate biases in AI responses were significantly advanced. By addressing one of the major criticisms of earlier models.
  • Multimodal Abilities: GPT-4 could process not just text but also images and other data types, expanding its utility in fields like healthcare and autonomous driving.

What to Expect from OpenAI GPT-5

Anticipated Technological Advancements

With the imminent release of GPT-5, expectations are sky-high. Here are some of the anticipated advancements:

Increased Parameter Count

Potentially in the range of several hundred billion. This increase will enhance the model’s ability to understand and generate more nuanced and contextually accurate text.

OpenAI GPT 5 Launch Imminent New Pressure The AI Competition 1 1

Improved Efficiency

One of the critical areas of focus for GPT-5 is likely to be efficiency. Reducing computational costs while maintaining or improving performance will make the model more accessible for a wider range of applications.

Enhanced Multimodal Capabilities

Building on GPT-4’s multimodal abilities. GPT-5 is expected to further integrate and improve its processing of various data types. This will enable more sophisticated applications in industries such as healthcare, finance, and autonomous systems.

Advanced Fine-Tuning Techniques

GPT-5 is anticipated to offer more advanced fine-tuning techniques. Allowing users to customize the model for highly specific tasks with greater ease and accuracy.

Ethical and Safety Improvements

OpenAI has consistently emphasized the importance of ethical AI development. GPT-5 is expected to incorporate advanced safety measures to prevent misuse and reduce the risk of generating harmful content. This includes more robust systems for detecting and mitigating biases and ensuring compliance with ethical guidelines.

Impact on the AI Industry

OpenAI GPT-5: Raising the Bar for Competitors

The launch of GPT-5 is set to raise the bar for a advance AI development. By putting significant pressure on competitors. Companies like Google DeepMind, Microsoft, and IBM will need to accelerate their research and development efforts to keep pace with OpenAI’s advancements.

OpenAI GPT 5 Launch Imminent New Pressure The AI Competition 1 2

Competitive Responses

  • Google DeepMind: Known for its groundbreaking work in AI, Google DeepMind is likely to respond with advancements in its own models, such as the Transformer and Alpha series.
  • Microsoft: As a key partner of OpenAI, Microsoft will leverage GPT-5’s capabilities in its Azure cloud platform, while also pushing its own AI initiatives forward.
  • IBM: With its focus on enterprise AI solutions, IBM will need to innovate rapidly to maintain its competitive edge in the wake of GPT-5’s release.

Expanding AI Applications

GPT-5’s advanced capabilities will open new avenues for AI applications across various sectors. Industries such as healthcare, finance, education, and entertainment will see significant transformations as they integrate more sophisticated AI solutions.

Healthcare

In healthcare, GPT-5’s enhanced data processing and contextual understanding will improve diagnostic accuracy, personalized treatment plans, and patient care. Its multimodal capabilities will enable better integration of medical imaging and patient records.

Finance

The finance sector will benefit from GPT-5’s ability to analyze vast amounts of data and generate insights. Applications include fraud detection, risk management, and personalized financial advice.

Education

In education, GPT-5 can create more interactive and personalized learning experiences. It will enhance automated grading systems, provide real-time feedback, and support adaptive learning technologies.

Entertainment

The entertainment industry will leverage GPT-5 for content creation, including scriptwriting, music composition, and game development. Its ability to generate realistic and engaging content will revolutionize how we consume and create media.

Challenges and Considerations

Ethical Implications

While the advancements in GPT-5 are promising, they also raise significant ethical considerations. The technology is used responsibly and does not perpetuate harmful biases or misinformation. OpenAI will need to continue its efforts in transparency and ethical AI practices.

Challenges and Considerations

Access and Equity

As AI technology advances, ensuring equitable access remains a challenge. The risks which the benefits of GPT-5 should be concentrated. Strategies to democratize access to advanced AI, including partnerships with educational institutions and non-profits, will be essential.

Regulatory Landscape

The rapid pace of AI development often outstrips regulatory frameworks. Governments and regulatory bodies will need to develop policies that balance innovation with safety and ethical considerations. This includes addressing issues related to data privacy, AI accountability, and the impact on employment.

The Future of OpenAI GPT-5

Long-Term Implications

The launch of GPT-5 represents a significant milestone in the journey towards more advanced and capable AI systems. Its long-term implications include:

  • Accelerated Innovation: GPT-5 will serve as a catalyst for further innovation in AI, pushing the boundaries of what is possible.
  • Human-AI Collaboration: As AI systems become more sophisticated, the potential for human-AI collaboration will grow, leading to new ways of working and problem-solving.
  • Transformative Applications: The capabilities of GPT-5 will enable transformative applications across industries, improving efficiency, productivity, and quality of life.
Challenges and Considerations 1

Preparing for the Future on GPT-5

To prepare for the future with GPT-5, organizations and individuals must focus on:

  • Continuous Learning: Staying updated with the latest developments in AI and acquiring new skills will be essential.
  • Ethical Considerations: Prioritizing ethical considerations in AI development and deployment will be crucial to ensure positive outcomes.
  • Collaboration: Collaboration between industry, academia, and government will be key to addressing the challenges and maximizing the benefits of AI advancements.

Conclusion:

The imminent launch of OpenAI’s GPT-5 marks a pivotal moment in the field of artificial intelligence. With the advanced capabilities and potential applications. The GPT-5 is set to drive significant changes across various sectors. From healthcare and finance to education and entertainment.

Does The New Builder-developer Model Need To Change?

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Does The New Builder developer Model Need To Change
Does The New Builder developer Model Need To Change

As the industry awaits the Grenfell Inquiry phase-two report. Dr Bernard Rimmer asks whether the builder-developer model needs a complete overhaul

It looks as though the final report of the Grenfell Inquiry could be presented to the government this summer. Perhaps now is the time to reflect on how our industry produced thousands of flats with flammable cladding. This disaster has been hugely damaging to the reputation of the construction industry. And I am not sure that the lawyer-led inquiry will get to the root of any mistakes caused by human behaviour rather than by contracts.

Builder-developer Model Need To Change?

Governments over the decades have never seemed to understand the construction industry. And why it apparently performs so badly, with overspends, overruns and dubious quality. In the 73 years from 1945 to 2018 they initiated 81 investigations into the industry. Appointing task forces chaired by luminaries from outside the sector – indicating that the industry was incapable of reforming itself.

Does The New Builder developer Model Need To Change 1

Egan understood that many of the industry’s problems

The last major taskforce to investigate the industry was chaired by industrialist Sir John Egan in 1998. Resulting in his report Rethinking Construction. Egan understood that many of the industry’s problems resulted from the lack of teamwork and collaboration when using competitive tendering of main contracts. But shis aspiration that leading public-sector bodies should become best-practice clients was a tall order when ministers are always declaring that they will insist on competition to get the best value for taxpayers.

“Separating design from construction came at a great cost” 

– Dr Bernard Rimmer

Also, Egan’s vision of a wholesale revolution in the industry. Was unrealistic given that it is highly dependent on its clients for its performance.

He did leave us with some important pointers on striving to create customer value and eliminating waste. But did not say much about how best to address these in the context of bespoke teams. Bespoke products, and clients of varying capabilities.

Ten years after Egan produced his report. He gave the industry four out of 10 for the progress it was making “delivering value and challenging the waste and poor quality arising from existing structures and working practices”.

Across the board the quality of the built environment still varies enormously. And much of this variation results from the way clients assemble their teams. Selecting from a diverse industry in which design resources are now largely separate from construction resources.

Architects and engineers often used to be directly employed by builders and public bodies in the 60s and 70s. But decided to form their own businesses with the protection offered by professional indemnity insurance. This change was hugely beneficial to the creative process, spawning some world-class designers in the process.

But the split introduced tricky liability issues, multiple types of contracts, tendering costs, disputes and litigation.

It also resulted in construction-only companies fighting to protect their small margins. Instead of striving to improve the value their expertise could bring to their clients. And it became rare for builders to even meet their clients.

It ultimately led in 2001 to the sale for £1 of John Laing, a company. Which, in the 1970s, had all the design and construction resources in-house to carry out projects. Including research and development, building product manufacture and trades and plant. Allowing it to complete iconic projects such as the Barbican, the Bull Ring and the British Library.

The challenges of a fragmented industry: Builder-developer Model

Separating design from construction therefore came at a great cost. Putting them together again in the best ways possible is the challenge for all clients, both public and private.

Clients have in effect become the most important players in the process. No longer able to call on the likes of John Laing to handle all their needs.

Those that follow best practice today use more negotiated. Collaborative forms of procurement in which they have direct relationships with all the players including major specialist contractors. The control of the design and construction process by in-house experts is the key to their success. And world-class developments such as King’s Cross are the result.

However, at the other end of the client spectrum, this control can be abused in the pursuit of profit. Egan might not be pleased with the way things have turned out but should take solace from the fact that innovation. Driving out waste and continuous improvement are taking place in the companies that design. Manufacture and install large discrete parts of buildings, such as whole facades, structures, and mechanical and electrical services.

Furthermore, he may find it gratifying that there have been significant advances in construction management. IT techniques for coordinating the interfaces between these main specialist subcontractors.

Multitude of different clients battling to put together

But problems still remain. With the now-fragmented industry, and the multitude of different clients battling to put together teams to satisfy their needs. It was to be expected that suboptimal results would be common. But not that buildings would be created that were immediately dangerous for occupation.

Investigations that followed the shocking Grenfell Tower tragedy discovered that flammable cladding was being used on hundreds of blocks of flats around the country.

The cladding that caught fire was a rainscreen cladding (RSC) system. Open-jointed RSC systems were developed in the 1960s, but they have also been adapted by developers of new buildings.

These systems are no longer available from companies that design, supply and install them (taking full responsibility). RSC is now designed by architects. They can obtain technical guidance from the industry-funded Centre for Cladding and Window Technology (CWT) in Bath. RSC today is supplied by subcontractors that procure all the specified parts and install them. But they do not have design liability.

When aluminium composite material cladding had to be replaced in other high-rise blocks around the UK. Critical components such as firebreaks were found to be missing in many cases.

The net result was an open-jointed cladding system with a cavity lined on both sides with foamed plastic and absent critical parts, for which no single party was responsible.

Egan’s best-practice aspirations were nowhere to be seen. Except that best value was produced for the builder-developers and negative value for the ultimate customers, with many flats still unsaleable.

The division of responsibility for the performance of the cladding was a significant factor in all of this.

The builder-developer model

To understand how some builder-developers, who are ‘self-build-for-sale’ clients. With full control of building design and procurement processes. (they are de facto chief designers), came to build dangerous buildings, we must look at their business practices.

Builder-developers of flats are mainly former builders. (some retaining the great names of the past) who started building houses for sale and then branched out into building flats for sale.

When building houses for sale, they retained their building skills. Most of which were (and still are) in traditional trades like brickwork and timber – and the heads of companies remained builders that were proud of their work. But when they started building flats, a completely different skillset was required to handle high-tech design and construction.

And, judging by how difficult it is to find executive directors from the building side on the builder-developers’ boards. It seems that the land purchasing and development executives rose to the top of these companies and the building executives took a step back in seniority.

Builder-developers still call themselves housebuilders. But their boards are comprised mainly of chartered general practice surveyors, accountants, bankers and insurers.

Contrast this with the top commercial developers that have executive directors who are chartered engineers controlling the design and construction process. It speaks volumes regarding the business culture of the builder-developers. That they did not hesitate to blame Building Regulations for the faulty design of its products. Heaping financial stress on thousands of its own customers who were mostly people of modest means with little or no savings.

It would be nice to think that flat developers will change their business practices and focus on their customers’ needs for long-lasting trouble-free facades. But it would appear that it is necessary for the government to regulate this development activity.

Building Regulations and planning requirements

Builder-developer Model: First, they need to be forced, by Building Regulations and planning requirements. To design facades for longevity and low maintenance and to provide full-time supervision of any labour-intensive facade installations.

Second, they need to be made to take full responsibility for the design and construction of their buildings through a government-approved standard contract for sale of flats. The government also needs to redraft Building Regulations in such a way that developers will not be able to escape design liability problems for buildings for which they receive regulation approval.

Egan’s Rethinking Construction report unfortunately did not prevent certain working practices of the industry creating dangerous buildings. We should not expect the Grenfell Inquiry recommendations to make much of a contribution to dealing with the serious problem of how builder-developers handle design.

As clients of the industry, as well as claiming to be part of it, and with some of them still using the names of great builders from the past. Builder-developers have brought shame to the sector and need regulating in both design and liability if they are to continue operating.

Dr Bernard Rimmer has a PhD in civil engineering from the University of Leeds. He previously held managing director roles at Clarke Construction and John Laing Concrete, and was construction director at Slough Estates

Jim Cramer: New AI Technology Can’t Help Bring Down Inflation

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cramer says new ai technology cant help bring down inflation just yet.jpg
cramer says new ai technology cant help bring down inflation just yet.jpg

CNBC’s Jim Cramer on Monday reminded investors that much of the stock market currently depends on the Federal Reserve’s interest rate decisions, which are hard to predict as inflation persists. He said he is hopeful new artificial intelligence technology will help cut costs, but stressed that it will not happen any time soon.

Jim Cramer Guide to Investing

“We keep thinking that accelerated computing and generative AI will solve so many of our problems, and eventually they will, but the emphasis is on ‘eventually,'” he said. “In the near term, it won’t have any impact on the stuff we’re worried about that’s front and center, not in a time frame that matters to the Fed.”

Stocks could be freed by the forces of technology, says Jim Cramer

To Cramer, AI will be a game changer. It has the potential to improve productivity and make items such as groceries and medicine cheaper, helping the consumer’s balance sheet. But the technology is not at a point where it can immediately fix high costs in sectors such as insurance, homes and apparel, he said.

This week brings new inflation data: the producer price index on Tuesday and the consumer price index on Wednesday. But because it is difficult to get these metrics under control and they have been running hotter than the Fed wants to see, Cramer suggested investors stick with stocks that are not as influenced by interest rates.

Stocks could be hostage to the Fed and inflation, says Jim Cramer

Everything is on the verge said, Jim Cramer

“Right now, at this moment, everything is on the verge,” he said. “But what’s before the verge? Well, the answer is all sorts of inflationary numbers that may drive up interest rates, making us feel like it’s too dicey a moment to invest in stocks.”

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MacRumors iPadOS 18 Will Include The New Calculator App

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ipad users rejoice ipados 18 will finally include a calculator app.jpg
ipad users rejoice ipados 18 will finally include a calculator app.jpg

Did you hear the big iPad news today? No, not that news! Sources have told MacRumors that iPadOS 18 will include the longest-awaited feature of the iPad: a Calculator app. It’s expected to be part of the iPadOS 18 unveiling at WWDC on June 10.

Apple’s plans with the Calculator app have been making the rounds lately. AppleInsider reported last week that the company plans a major overhaul for the Calculator in macOS 15 with an iOS-inspired redesign. A new history tape feature, support for the new Math Notes feature in the Notes app, and more. The new iPadOS 18 Calculator is probably the same as the one rumored for macOS 15. So we assume it will have similar features. Since M-series Macs can run iPad apps, it makes sense that Apple is merely developing a new Calculator for iPadOS 18 and bringing it over to macOS 15.

MacRumors iPadOS 18 Will Include The New Calculator App

The new iPad Calculator will be available for all iPads on the iPadOS 18 compatibility list. While that list is not yet available, a MacRumors report. From February stated that iPads that are on the iPadOS 17 compatibility list will also work with iPadOS 18 except for iPads that have an A10 or A10X Fusion chip. Those iPads were released between 2017 and 2019.

The Calculator was not part of the iPad’s original release in 2011, so for the past 14 years. Users have had to rely on third-party calculators such as PCalc ($9.99), Calzy ($4.99), or Calcbot 2 (free with in-app purchases). It seems unlikely that the new iPad Calculator will be on par with the feature set of these third-party apps. But for users who need to perform relatively basic math functions, it’ll be a handy tool to have (finally). Read: Why the iPad has no calculator

Apple will hold its “Let Loose” event on May 7 where it is expected to unveil new iPad Air and Pro models, and likely a new Apple Pencil. You can catch up on the iPad Air and iPad Pro rumors before the event. But calculator fans will need to wait another month for the WWDC keynote.

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