Archive
Eric Schmidt says AI is Underhyped, Zuckerberg discusses AGI & China, and NVIDIA’s plans for physical AI
In this edition of AI Minds, check out former Google CEO, Eric Schmidt, giving a TED Talk on why the AI Revolution is underhyped. Listen to Mark Zuckerberg's "masterclass" in AI, AGI, and China. Find out what Jensen Huang plans to build nest at NVIDIA. And learn so much more about the latest the AI world has to offer!
Altman Questioned by Senator John Fetterman, Karpathy on New LLM Paradigm, and Google Chief Scientist talks AI Coders
This week, we find that Sam Altman was questioned by Sen. John Fetterman (D-PA) about the Singularity at the AI Hearing. Also, Andrej Karpathy discusses the new LLM-fueled paradigm on X. And Google's Chief Scientist explains why we should expect AI systems to code like Junior-Engineers next year. All this and more in this week's edition of AI Minds!
Bill Gates Responds to “Will we still need humans?”, Caltech talks the One Skill AI Can't Replace, and Encrypted AI Agent Chats
While discussing AI, Bill Gates responds to the question "Will we still need humans?" Caltech professor Anima Anandkumar explains the one skill AI can't replace. Anton Pidkuiko gave agents a set of cryptography functions, and two Sonnet 3.7 autonomously figured out how to end-to-end encrypt their communication via public keys exchange. And much more is revealed in this week's edition of AI Minds!
Zuckerberg & Theo Von Poke Fun at OpenAI, What a GPT-image Feedback Loop Looks Like, and Zero-Shot Singing Voice Synthesis
Meta CEO Mark Zuckerberg and comedian Theo Von briefly poke fun at OpenAI in a new podcast episode. X user shows what a GPT-image feedback loop (shockingly?) looks like. New research yields zero-shot singing voice synthesis model, proving that anyone can sing. And much more is revealed in this week's edition of AI Minds!
Andrew Ng’s new program launch, Why we’re poorly equipped to recognize voice clones, and Google Deepmind on 60 Minutes
Andrew Ng announces the launch of a new 5-course program. Researchers study why we are currently poorly equipped to recognize when an AI is speaking versus a human. Google Deepmind gets a spotlight on 60 Minutes. And much, much more is revealed in this edition of AI Minds!
Altman talks AI Revolution with TED, a Karpathy-style single file RL for LLM library, and GPT-4.1 Performance
Altman discusses the AI revolution with head of TED Chris Anderson. An X post reveals some efficient, Karpathy-inspired code. GPT-4.1's performance undergoes reviews by developers. And much more is revealed in this edition of AI Minds!
Altman less interested in replacing coders, Vinod Khosla talks AGI, and Using SVMs to Detect Stress Levels
Sam Altman says he's "less interested in replacing coders," and more interested in something else. Vinod Khosla discusses AGI and other key topics this week. SVMs in smartwatches can detect stress levels with great accuracy. And even more surprising news is revealed in this edition of AI Minds!
a16z Ranks Top 100 GenAI Products, 2025 State of Voice Report Released, Hassabis speaks on Path To AGI
Latest a16z video reveals what the top 100 GenAI products are. 2025 State of Voice Report announces that this year is the year of the voice AI agent. Google Deepmind CEO speaks on the path to AGI. And more!
Altman's Method for Clear Thinking, Huang+Mensch Discuss Sovereign AI, and Five Levels of Agentic AI
Sam Altman reveals his method of thinking and note-taking. Jensen Huang and Arthur Mensch (founders of NVIDIA and Mistral, respectively) discuss AI's future on the global scale. The five levels of Agentic AI are revealed. And much, much more can be found in this edition of AI Minds!
Elon Musk on AI Chips, China’s 100-Robot Team from AgiBot, and AI’s Advancements in Economics
Elon Musk discusses AI Chip Fabrication. Reuters reports on Chinese company AgiBot and their 100-robot team. AI Researchers improve tech's ability to predict economic outcomes. And more inside!
How Karpathy Uses LLMs, Why OpenAI Should Worry about Manus, and Stanford’s Generative AI for DNA
Learn how Karpathy uses LLMs as optimally as possible. See why OpenAI should worry about Manus (according to social media). Watch how Stanford scientists generate DNA sequences with cutting-edge AI. And learn so much more in this edition of AI Minds!
Andrew Ng Announces Agentic Document Extraction, Google’s Transformer 2.0 Fixes Memory, and GPT 4.5 versus Sonnet 3.7
Andrwe Ng announces agentic document extraction on Twitter. Google's Transformer 2.0 shows attention isn't all you need. GPT 4.5 tries to outsmart Sonnet 3.7 in a game.