Artificial Intelligence

All Developers are Now AI Developers Worldwide, there are 30 million developers, 300,000 ML engineers, and only 30,000 ML researchers. For those innovating at the very forefront of ML, the references estimate there may only be ~100 researchers in the world who know how to build a GPT-4 or Claude 3-level system. The good news is that in the face of these talent shortages, tasks that used to require years of fundamental research and sophisticated ML expertise can now be accomplished in days or weeks by mainstream developers building on top of powerful pre-trained language models. The future belongs to those who can effectively apply existing AI, not just pioneer new AI. Credits - Armand R

🔉 𝐓𝐨𝐩 𝐌𝐮𝐬𝐭-𝐖𝐚𝐭𝐜𝐡 𝐀𝐈 𝐓𝐞𝐝 𝐓𝐚𝐥𝐤𝐬 🌐 The inside story of ChatGPT's astonishing potential by Greg Brockman. https://youtu.be/C_78DM8fG6E?si=kdGNA1PvO1lb7L8t 📚 How AI could save (not destroy) education by Sal Khan https://youtu.be/hJP5GqnTrNo?si=wlD-SOjr5ZxLQ0vQ ⚖️ How to keep AI under control by Max Tegmark https://youtu.be/xUNx_PxNHrY?si=e8JDz9up3IRYmBo5 🧠 How to think computationally about AI, the universe, and everything by Stephen Wolfram https://youtu.be/fLMZAHyrpyo?si=5O1b63qgga89rEOb ⚔️ The dark side of competition in AI by Liv Boeree https://youtu.be/WX_vN1QYgmE?si=QDMlKkrxqrSCdFkr 🖼️ How AI art could enhance humanity's collective memory by Refik Anadol https://youtu.be/iz7diOuaTos?si=iyQOF20jZp78hfo2 🤖 Why AI is incredibly smart and shockingly stupid by Yejin Choil https://youtu.be/SvBR0OGT5VI?si=rLhDzmohC_dPfrtM 🌍 Will superintelligent AI end the world by Eliezer Yudkowsky https://youtu.be/Yd0yQ9yxSYY?si=JqN2yNgP0IOTnjN1 Kai-Fu Lee: How AI can save our humanity | TED Talk https://bit.ly/44SC1ss

It’s patently absurd that Apple isn’t smart enough to make their own AI, yet is somehow capable of ensuring that OpenAI will protect your security & privacy! Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.

🎉 Google has an open sourced Python based rapid UI creation library: mesop. It is also used internally at Google to create internal apps by devs who are not well versed with frontend development. pip3 install mesop 👉 Docs: https://google.github.io/mesop/ ⚙️ GitHub: https://github.com/google/mesop ⚡️ Checkout the Colab Notebook: https://colab.research.google.com/github/google/mesop/blob/main/notebooks/mesop_colab_getting_started.ipynb 🦋 GenAI/LLM support straight out of the box for Chat app in mesop 👉 Demo: https://google.github.io/mesop/demo/

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One of the best courses on LLMs The LLM course is divided into three parts: 🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks. 🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. https://github.com/mlabonne/llm-course

Microsoft releases PCs ‘designed for AI, going to be completely new experience! It will be called "Copilot+ PC”, which uses chips made by Qualcomm rather than Intel, and will have a battery life of 22 hours, Microsoft said, which is slightly ahead of what Apple delivers with its MacBook Pro and MacBook Air. https://blogs.microsoft.com/blog/2024/05/20/introducing-copilot-pcs/

💡Ai research Funding opportunity—share with your ML networks💡 CSET Georgetown just opened their 2nd call for research ideas, this time on expanding the toolkit for frontier model releases. Expressions of interest due Jul 3. This is going to be a good opportunity for students and researchers. Full details ➡️ https://cset.georgetown.edu/wp-content/uploads/FRG-Call-for-Research-Ideas-Expanding-the-Toolkit-for-Frontier-Model-Releases.pdf