The Hidden Costs of 'Free' AI

Phind's AI Claims it is Faster and More Skilled than GPT-4

In the competitive landscape of AI development, Phind has thrown down the gauntlet, asserting that its new AI model can outperform OpenAI's GPT-4 in coding capabilities, and does so with remarkable speed, operating 5X faster. While Phind's model strides ahead in performance and efficiency, it does face challenges with consistency, occasionally needing more attempts to produce the correct output when compared to GPT-4.

Why it matters: This development is significant as it highlights the rapid evolution of AI where speed and coding proficiency are becoming critical, especially for industries that depend on swift and reliable code generation.

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LinkedIn Leverages AI to Revolutionize the Job Search for its 1 Billion Users

LinkedIn, now boasting 1 billion users, is integrating AI to transform the job search experience. Unlike other businesses that are unsure of how to incorporate AI or simply add a basic chatbot, LinkedIn has crafted a suite of AI-powered tools aimed at tackling specific challenges in job searching. Their new AI features, accessible to subscribers, provide personalized advice on profile enhancement, job description summaries, and fit for a position, along with connection identification and message drafting to recruiters. What sets LinkedIn apart is the introduction of an AI job coach, using GPT-4 technology, to interactively guide users through the job application process, offering tailored advice based on their profile and suggesting networking opportunities.

Why it matters: This represents a shift in the use of AI – from taking jobs to significantly empowering job seekers in their career advancement.

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The Hidden Costs of 'Free' AI: Evaluating the True Price of Running Open-Source Models

Meta's free AI, Llama, may not be as cost-effective for companies as they thought. Despite being available for free, the computational resources and electricity consumption required to run the model can be expensive, especially for businesses that require advanced AI capabilities. Companies aiming to reduce expenses by opting for free, open-source alternatives to OpenAI's artificial intelligence might find this approach counterintuitive, as these alternatives can ultimately incur greater costs than purchasing directly from OpenAI (or other paid service providers).

Why it matters: Those interested in AI should look beyond the allure of 'free' by factoring in efficiency and operational costs, potentially making paid models like OpenAI's the smarter choice for advanced needs.

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Brave Launches 'Leo': A Privacy-Focused AI Assistant

Brave has enhanced its browser with Leo, an AI assistant leveraging the Llama 2 large language model developed by Microsoft and Meta, now available in the latest desktop update. Leo offers standard AI tasks such as summarization, translation, and content generation. Beyond the free version, Brave introduces Leo Premium for more in-depth interactions, utilizing Anthropic's Claude Instant for a monthly fee. Notably, Brave assures users of privacy with no persistence of data, conversations, or use of personal data for model training, addressing concerns raised from past accusations over misuse of copyrighted content. The gradual rollout begins on desktop, with mobile users anticipating a future update.

Why it matters: This development is significant as it underscores Brave's commitment to user privacy in the realm of AI-assisted browsing, catering to those who value anonymity online while keeping pace with the expanding trend of incorporating generative AI into user experiences.

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Microsoft Copilot (Clippy with an MBA)

The integration of ChatGPT through Microsoft Copilot into the Microsoft 365 suite is set to potentially transform workplace efficiency by automating tasks like converting documents to presentations and summarizing meetings. Despite the innovative benefits, the high cost of entry—mandating the purchase of at least 300 user licenses plus additional subscription fees—could be a stumbling block for some companies. However, with early adopters already reporting significant time savings and analysts predicting a surge in competitive adoption, Copilot could become a pivotal element in business operations and a lucrative asset for Microsoft, reshaping the landscape of business productivity tools.

Why it matters: The rollout of Microsoft Copilot could be a game-changer for businesses, potentially leading to a new standard in workplace efficiency and marking a major step in the application of AI in everyday business operations.

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Global AI Safety Summit Marks Milestone with Pre-Release Testing Pact

At the UK's AI Safety Summit at Bletchley Park, global AI developers and political leaders, including those from the US, EU, and China, reached an accord to enforce pre-release testing of AI models to mitigate potential risks. This initiative, hailed as a landmark achievement, aims to create an international panel for AI risk assessment and promotes independent testing over internal evaluations by companies. Prime Minister Rishi Sunak, alongside industry giants like OpenAI and Microsoft, supported the move for rigor in AI deployment. The summit discussions, which included insights from tech leader Elon Musk, centered on establishing a balance between the rapid development of AI and the need for safety measures to prevent misuse and ensure ethical standards.

Why it matters: This collective move marks a significant stride towards international cooperation in harnessing AI's benefits while mitigating its dangers. The outcomes of the summit are crucial for shaping a future where AI is developed responsibly, ensuring that technological advancements align with humanity's best interests.

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MetNet-3: Google's Leap Forward in High-Resolution Weather Forecasting

MetNet-3, developed by Google Research and DeepMind, represents a significant leap in weather forecasting technology. Unlike traditional numerical weather prediction models that may not be as fine-grained or quick to update, MetNet-3 excels in delivering more accurate predictions. MetNet-3 goes beyond technological innovation; its real value lies in application. The model has been smoothly integrated into Google's product lineup. This integration enriches the user experience by providing more accurate and reliable weather information. Such information is crucial for daily planning and safety in a multitude of countries and languages.

Why it matters: The ability to predict weather with greater precision is crucial for everyday decision-making, emergency preparedness, and global industries such as agriculture and transportation, potentially saving lives and resources.

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Prompts to Try - Summarize Long Text 📚

I have tried many summarization prompts, but I have found the one below to be my favorite. Try it out the next time you have long text that you need summarized.

Bonus Tip: If the content is too academic or hard to understand, you can end the prompt below with “Explain it to me as if I were an 8th grader”.

Generate a concise summary in bullet point format that highlights the main topics, key ideas, and most important points. Make the summary clear and easy to understand.