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FRANCE - €109 billion investment in AI

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🧨 AI Summit in Paris 🧨

French President Emmanuel Macron announces €109 billion investments in AI

€109B for AI in France

French President Emmanuel Macron announced that France will receive €109 billion in artificial intelligence (AI) investments from international and domestic sources in the coming years. This move positions France as a significant player in the global AI landscape. This will be discussed in detail at the AI Action Summit in Paris, on February 10 and 11.

  • Diverse Investment Sources: The funding will come from the United Arab Emirates, major American and Canadian investment funds, as well as French companies.

  • Focus: Building key infrastructure and aiding providers are the two key topics that the government intends to deliver, to increase competitiveness of EU ecosystem on a global stage.

🧨 EU AI Act 🧨

A High level summary of Europe’s AI regulation

Risk Based Classification (details below)

The European Union's Artificial Intelligence Act (AI Act) establishes a regulatory framework categorizing AI systems based on risk levels to ensure ethical and safe deployment across member states. Here are the main details from its high-level summary

  • Risk-Based Classification: AI systems are classified into four categories (shown in the image above). Let’s break it down!

    🧨 unacceptable risk (prohibited, e.g., social scoring)
    🚨 high risk (regulated with strict requirements)
    ⚠️ limited risk (subject to transparency obligations)
     ⚡️ minimal risk (unregulated)

  • Obligations for Providers and Users:
    Providers must have compliance with safety, transparency, and oversight requirements

    Users deploying these systems have defined responsibilities to maintain ethical standards.

  • Prohibited Practices: The Act bans AI systems that manipulate behavior, exploit vulnerabilities, perform social scoring, or predict criminal behavior based solely on profiling.

  • General-Purpose AI Provisions: Laws, obligations, and licensing.

For those who are curious, try the AI Act Explorer to navigate its topics. I am still trying to capitalize on this act, but not sure that’s what it’s intended for (let me know if you have some ideas).

⭐️ OPEN AI ⭐️

NFL Superbowl Debut - OpenAI’s commercial

click to view the chatGPT commerical shown at the Superbowl

Sam made some reflections, caught on his recent blog - 3 observations - which you can read here. In good form, we’ll break it down for you.

  • Rapid Cost Reduction: The cost to utilize a specific level of AI capability is decreasing by a factor of 10 annually. For instance, the price per token for GPT-4 dropped approximately 150 times from early 2023 to mid-2024, a rate of decline surpassing Moore's Law.

  • Super-Exponential Socioeconomic Value: The economic value derived from incrementally increasing AI intelligence grows at a super-exponential rate, indicating that the current trend of escalating investments in AI is likely to persist.

  • Exponential Intelligence Growth: Altman notes that an AI model's intelligence scales logarithmically with the resources invested in its training and operation, including computational power and data. This suggests that continuous and predictable improvements can be achieved with increased investment.

    And, if you are looking to waste 60 seconds of your life, watch this
    chatGPT commerical shown at the NFL’s Superbowl debut. That’s all!

🗞️ NEWSROOM 🗞️ 

What’s hot in tech right now?

Fei-Fei Li makes a call to action for ‘science’ not ‘science fiction’ approach to making AI policies.

A global summit on artificial intelligence is being held in Paris, bringing together world leaders and tech executives to discuss the balance between innovation and regulation.

Global semiconductor chip sales rose 19.1% to $627.6 billion in 2024, with double-digit growth expected in 2025, driven by AI's increasing demand for computing power.

⭐️ BUILDER BYTES ⭐️

What’s hot for builders right now?

An in-depth exploration of transformer architectures, covering tokenization, self-attention mechanisms, and the evolution of encoder-decoder models, providing foundational knowledge for understanding and utilizing LLMs effectively.

Prime Intellect Releases a curated dataset of 1.4M tasks used to train LLMs, covering areas like StackExchange Q&A, real-world software engineering problems, synthetic code understanding, verifiable math problems, and verifiable coding problems.

Codium windsurf is the first AI agent IDE, and you can give a full detailed plan on how to write software with it. It is a must look, and featured in this META blog.

🤩 COMMUNITY 🤩

What’s the latest beat?

Talk

17 minutes, CircleCI’s CEO, Jim Rose, and CTO, Rob Zuber, sit down to discuss a few of the lessons learned as they grew CircleCI to $100M+ in revenue (team, product-market fit, and future proofing your business).

Talk


16 minutes, While studying Silicon Valley investors, Ilya Strebulaev focused on those consistently making successful investments. He defined this concept as the 'venture mindset.'

Podcast

StackOverflow podcast, Will the web ever be the primary delivery system for 3D games?

Jaime Torrealba, a frontend developer currently at Push Security, joins Ryan to talk about 3D graphics and web development. Their conversation ranges from the evolution of technologies like WebGL and WebGPU.

THANK YOU

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