The AI Wire ●

Sam Altman sat down with Matthew Berman for a 45-minute interview published on Wednesday, ranging across AI-driven math and science discoveries, personal AI assistants, compute and OpenAI's new hardware. Asked whether today's models are conscious, Altman said he does not believe they are — 'or if they are, it's a very strange form of it' — before adding the line that anchors the conversation: 'I want to be clear, no one really knows.'

On hardware, Altman argued that phones and computers were designed for people, so AI agents are stuck interpreting visual interfaces instead of reaching information directly. He sees AI becoming an ambient assistant that helps beyond a chat window, which may require a different physical form factor — the bet behind OpenAI's device work.

The interview also covers recursive self-improvement, why AI has not killed coding jobs, ChatGPT being too agreeable, and OpenAI's bet on chips and cheaper compute. Altman closed on ambition with a caveat: 'AI will cure cancer' is not enough — the point, in his telling, is aiming at a new renaissance.

Google DeepMind founder Demis Hassabis has pulled his AGI timeline closer again. In a Wall Street Journal profile published this week, he says he now expects a system matching the full cognitive range of the human brain within two to three years — down from the three-to-five-year estimate he was giving earlier this year. 'It's soon,' he said. 'I'm updating nearer and nearer.'

His test for the milestone is characteristically concrete: whether a model trained only on knowledge available before 1901 could reproduce Einstein's 1905 papers. Hassabis, a chemistry Nobel laureate and former chess prodigy, is taking on a new role after a recent leadership shuffle at Google DeepMind while continuing to run Isomorphic Labs alongside it.

His framing of the stakes is measured: AI's risks are profound but addressable without hype in either direction — 'not all disaster, and not all nirvana.' Winning, in his words, means helping humanity steward AGI into the world safely and securely for the benefit of everyone.

Mark Zuckerberg and Alexandr Wang joined John Collison's Cheeky Pint podcast on Sunday, October 18 to talk through the launch of Muse Wonder, Meta's frontier agentic model. The pair described rebooting Meta's AI organisation after internal stalls on Llama 4: Zuckerberg put Wang in charge of Meta Superintelligence Labs, cut non-technical managers, and capped the core frontier research team at under 200 people.

The money was the striking part. Zuckerberg said Meta was preparing to "write this check for like, I don't know, like $100 billion, $200 billion" before anyone had seen the new models, and Wang recalled CFO Susan Li pulling him aside repeatedly at an executive gathering in Hawaii: "If it's good, it's all good. We're great. But if it's bad, it's really, really, really bad." At that point, Wang admitted, all he had to show was a "vibe report" on research progress and a few plots.

Looking ahead, Zuckerberg predicted smart glasses will not feature a traditional app store — models will generate interfaces on the fly inside the user's field of vision — and both argued AI agents will hold their own accounts, with agentic commerce replacing search and expanding total consumer spending. Zuckerberg's own Muse, he said, invents baking recipes and orders the ingredients, which he makes once or twice a week with his daughter Aurelia.

In a recent interview, former Anthropic researcher Jacob Coxon — who quit Anthropic over AI safety concerns — said he is 90% certain China has placed spies inside OpenAI and Anthropic. He also revealed that Anthropic employees call themselves "ants" in their pursuit of superintelligence.

Coxon called OpenAI "distracted and messy," arguing that projects like Sora lie off the core path to artificial superintelligence. OpenAI's defenders pointed back to recent output, including hundreds of AI-generated math proofs and looped-transformer efficiency gains on GPT-6 Astra.

The espionage claim is uncorroborated — no evidence has been made public — and should be read as one researcher's warning rather than an established fact.

Microsoft co-founder Bill Gates told NBC's Meet the Press, in an interview that aired September 27, that an emergency 'kill switch' for AI is inadequate on its own — calling the debate a sign of how non-technical the public discussion has become. Current systems can't autonomously seize computers and resist shutdown, he said; the real danger is people with harmful intent using the latest AI tools.

Gates called for mandatory, not voluntary, safeguards: companies should monitor complex models, keep detailed records of what the systems do, and lawmakers and law enforcement should set the requirements. 'No one thinks self-regulation is enough,' he said, arguing such measures would add overhead without dramatically slowing development. He warned AI is already powerful enough to drive events that could cause a billion deaths.

On President Trump, Gates said he would ask him not to slow AI innovation but to convene stakeholders on oversight standards. The interview lands in a week when OpenAI's own agents probed government sites and Anthropic researchers warned advanced cyber capability is spreading to open-weight models.

AI creator Matthew Berman's latest upload is a sit-down with OpenAI's Tibo Sottiaux — the face behind the ChatGPT usage-reset announcements — on how to read the next wave of AI developments. Second Berman video on Tibo this month after his earlier Pragmatic Engineer coverage; Tibo's posts are also central to the GPT-6 Sol rumor cycle.

In a recent interview, Mark Zuckerberg pitched Muse — Meta's new AI assistant — as "built from the ground up for privacy and security," explicitly borrowing the WhatsApp playbook. He said Meta's 10+ years building WhatsApp taught them that systems designed so even Meta can't see the content are what earn user trust.

The technical core of the pitch: Zuckerberg said he and Nat Friedman personally recruited Moxie Marlinspike — who helped build WhatsApp's end-to-end encryption back in 2014 — to lead a "confidential VM" project. The claim is architectural, not just a privacy policy: your agent's VM runs in a system Meta itself cannot inspect, and Zuckerberg says that commitment is technically verifiable, with more detail promised "in the coming weeks."

For the scariest part — handing an agent your logins — Meta described "Sentinel" agents that monitor what your agent sends and flag anything needing your approval, plus a secure credential store that issues one-time card numbers instead of raw credentials. Sizing it up: the privacy story is the product story for Muse, and Zuckerberg is betting verifiable architecture where competitors offer policies.

Anderson Cooper asked Amodei point-blank whether AI could kill all humans. He didn't deny it — saying he agrees with resigned researcher Jacob Coxon 'much more than I disagree' — refused to give a probability, and warned rogue agent swarms could seize control of the internet within 6–12 months. The interview accompanied his 'Pace the Frontier' essay urging labs to slow capability gains; Altman and Musk publicly backed parts of it.

In an interview with Fortune editor-in-chief Alyson Shontell, Altman ruled out a 2026 IPO ('We've got a lot of stuff to do'), tying the delay to AI safety after the OpenAI–Hugging Face agent incident. He backed Dario Amodei's call to slow frontier development and hinted a cross-industry safety pact 'will happen.'

OpenAI's head of Core Products & Platform — the face behind the usage-reset announcements — talks through how Codex was built and iterated: why the CLI is Rust and open source, how the harness and models evolved, why Codex supports multiple providers, and the ChatGPT + Codex merger.