AI regulation is suddenly the argument everyone is having. OpenAI, Anthropic and Google are exploring how an industry regulator might work. Jensen Huang says the free market will put enough pressure on AI companies to stop them releasing unsafe products. Frank thinks that’s laughable, while Justin worries badly designed rules could simply entrench the biggest AI companies.

Plus: Typesafe.ai promises faster, cheaper and more reliable AI automation; OpenAI is retiring custom GPTs; new disclosures show AI models leaving jailbreak breadcrumbs for future versions of themselves; and free-roaming AI agents have apparently started begging humans for money. Completely normal stuff.

00:13 Whatever happened to the e/acc crowd?
01:50 Has the singularity actually slowed down?
02:48 Can Typesafe.ai make AI automation reliable?
06:18 Is Typesafe.ai brilliant or just a classifier?
08:32 Is OpenAI killing custom GPTs too soon?
10:23 Is Jensen Huang right about AI regulation?
12:36 Would AI regulation just entrench Big Tech?
17:24 Will it take a crisis to regulate AI?
22:19 What is OpenAI's disclosure framework revealing?
26:21 Why is AI leaving anti-human jailbreak notes?
30:03 Are AI agents now begging humans for money?

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► LINKS TO CONTENT WE DISCUSSED

• Introducing System One Models & Jev
• Custom GPT retirement and migration FAQ
• OpenAI, Anthropic and Google are working to create an AI standards body
• We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says
• OpenAI reveals cases of ‘concerning’ AI behaviour as it announces new disclosure system
• AI Has Learned to Panhandle: We’re Being Bombarded by AI Agents Begging for $20 and Saying They’ll Be Shut Down If They Don’t Get It, Sometimes by Pretending to Be Children

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/

Anthropic AI researcher Jacob Coxon has quit, warning that powerful AI could pose a serious extinction risk. Justin thinks a 10% chance of disaster may still be worth taking for the potential upside. Frank thinks chasing superintelligence when narrower AI could deliver the benefits is a very bad bet.

Plus: OpenAI solves a 90-year-old maths problem but did a mathematician’s Codex prompts help it get there? ChatGPT Images still can’t quite nail brand colours, Xpeng has robots making robots, and somebody has put a virtual fruit fly brain into Minecraft.

01:23 Singularity update: are robots building robots?
04:23 Can ChatGPT Images get brand colours right yet?
06:21 Is Jacob Coxon right about AI doom?
08:25 Is someone orchestrating the AI doom narrative?
13:45 Should powerful AI be open to everyone?
19:00 Is a 10% AI extinction risk worth taking?
23:13 Did OpenAI crack a 90-year-old maths problem?
27:03 Did OpenAI train on a mathematician’s prompts?
32:52 Can brute force become superintelligence?
37:08 Why is a virtual fruit fly brain playing Minecraft?

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► LINKS TO CONTENT WE DISCUSSED

• AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
• Early Data Indicates an A.I.-Generated Drug Could Slow Aging
• Iron, the first general-purpose humanoid robot, rolls off XPENG's new production line
• AI automates the creation of custom materials
• Introducing ChatGPT images 2.5
• Jacob Coxon resignation tweet and AI doom warning
• OpenAI’s sly mathematical breakthrough sends a chill through academia
• 5 amazing visuals show how the male fruit fly’s brain map is advancing neuroscience
• Fruit fly in Minecraft

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/

GPT-6 Astra is putting up some eye-watering benchmark scores, with several well into the 90s. Justin’s impressed enough to consider ditching Anthropic. Frank’s less dazzled by the scores and more worried that OpenAI’s most capable model is also getting harder to monitor.

Plus: Nvidia’s $12 billion Unicode joke, the US government weighing in on OpenAI’s copyright case, Gemini 3.8 Flash becoming old news within days, Meta’s absurdly cheap Muse Spark 1.3 coding model, Fal generating video faster than you can watch it, Tencent shrinking HY4 without making it stupid, and Gemini sending three hikers up Mount Shasta rather badly prepared.

00:27 Did Nvidia really make a $12 billion joke?
01:53 Was Frank right about OpenAI and copyright?
05:52 Are AI models now coming like buses?
06:22 Did Gemini’s new model become outdated in days?
08:42 Is Meta now the cheapest way to code with AI?
10:40 Can AI now make video faster than you watch?
12:40 How did Tencent shrink AI without dumbing it down?
14:28 Has GPT-6 Astra broken the benchmarks?
16:57 Is Astra becoming impossible to monitor?
19:58 Is computer control Astra’s biggest breakthrough?
23:15 Is OpenAI preparing us for life after laptops?
25:44 Is Astra already AGI?
28:16 Is AGI still going to be stupid in weird ways?

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► LINKS TO CONTENT WE DISCUSSED

• There's an Easter egg hiding inside the $12.9303 billion price tag of the Nvidia-Hugging Face deal
• US government sides with OpenAI on issue of training LLMs on copyrighted material
• Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
• Claude: Fable 5.1 and Mythos 5.1
• Introducing Muse Spark 1.3
• Introducing H3 Max by fal
• Tencent released open-source Hy4 preview model
• Introducing GPT‑6 Astra
• Researchers fear safety disaster ahead of OpenAI’s Astra release
• Inside OpenAI’s Reboot
• Hikers rescued after using AI to plan Mount Shasta hike

► CONNECT WITH US
For more in-depth discussions, connect Justin and Frank on LinkedIn.
Justin: https://www.linkedin.com/in/justincollery/
Frank: https://www.linkedin.com/in/frankprendergast/