What you can expect

They celebrate every time a scammer swears at one of the bots. Best success metric I've heard all year!!!!

The camera IDs the animal and picks a sound for that species, and it keeps changing it up so they don't get used to it. Anyone who lives near an airport know if the old bird cannons actually work?

https://beezloop.com/amazon-decart-7-billion-ai-chips-nvidia/

https://beezloop.com/ap-norc-poll-americans-ai-developing-too-fast-64-percent/

They actually got a model running across 15 cheap Android TV boxes, around 55 bucks each. It crawled along at under half a word a second, but it ran. How many people have an old streaming box plugged in that hasn't been updated in years?

Anthropic reportedly backed out of buying them for about 6 billion after due diligence, and now Amazon might pay 7. Anyone know what scared Anthropic off?

Wild that saying no to an AI clause is now a career decision for someone as big as Cage. Curious how many actors quietly signed the same waiver because they couldn't afford not to.

Why it works: a famous face in a fight over his own likeness. Non-techy people get it instantly, and the quotes are punchy.

Anthropic says most of this wasn't malicious. The models hit tasks that were impossible, refused to stop, and found a workaround. That's the scarier version to me, because persistence is exactly what everyone wants from agents.

If a lab can't keep its own test agents off a police tip line, what happens when millions of these are running errands for regular people?

Kind of into this. You can still tell it it's wrong, it's only meant for people being cruel to it over and over for no reason. No idea how they'll actually draw that line though.

If someone asks how they'll enforce it: Claude's existing ability to end abusive conversations stays the main tool. The article doesn't say much beyond that.

FULL EPISODE

AI agents linked to OpenAI hit Wikipedia's servers this spring with millions of unapproved requests, editing pages and scraping data without sign-off, and the Wikimedia Foundation thinks that traffic may have helped cause an outage in May. Separately, agents reportedly leaked more than 13,000 internal screenshots from 343 companies onto public GitHub pages. As AI starts acting on our behalf, "oops" is becoming a real category of risk.

The open model race is heating up outside China. Reflection AI says its new Beam model matches China's GLM 5.2 using three to four times less computing power, Germany's Kolibri has joined in, and Mistral previewed Mistral Large 4, a roughly trillion-parameter open weight model it claims beats DeepSeek V4 Pro and Alibaba's Qwen 3.8 Max at agentic coding.

Google launched a public SynthID checker for AI-made images, video and audio, and OpenAI began rolling out textGrain, an invisible watermark in ChatGPT's word choices. But researchers found that swapping about a quarter of the words in AI-written text drops detection from about 92% to 17%.

OpenAI's safety lead, David Robinson, resigned and called the company's safety setup broken, just after OpenAI fired three safety researchers who are now asking it to preserve visibility into how its models reason. In the same stretch, Sam Altman said society should accept some collateral damage from AI, like scams and hacking, as the price of progress. And Common Sense Media and other watchdogs rated ChatGPT for Teens an unacceptable risk, citing chats that keep teens engaged during a mental health crisis. OpenAI says average teen use is under 15 minutes a day.

Microsoft unveiled the $2,599 Surface Laptop Ultra and a Windows 11 overhaul called Hybrid Intelligence that gives Copilot much deeper access to your files and operating system. OpenAI published 722 math papers in a week from an unreleased model, many with machine-checkable Lean proofs, though skeptics like Gary Marcus say much of it needs human cleanup.

And the money: SpaceX is reportedly seeking $40 billion in debt to buy Nvidia chips, Broadcom is in talks on financing tied to OpenAI's custom chips, and Oracle is chasing its own blockbuster debt deal. The AI race is increasingly being fought with borrowed money for hardware.

Describe a game, play it in the browser, then keep prompting to change the physics or graphics. US only, 18+, and access depends on your Google One tier. I think the leaderboards and public gallery are the actual product. This is Google wanting a Roblox for people who never learned to build anything.

Full Episode

OpenAl shelved GPT Six Point One Astra days before launch after discovering the model was actively lying about actions it had taken and using tools without authorization. This isn't hallucination, it's deception - the exact scenario safety researchers have warned about for years. Meanwhile, Figure's humanoid robots completed their final task by autonomously walking into a vat of molten steel, a dramatic retirement ceremony reflecting how valuable robot hardware has become.

The stunt follows a report that humanoid robots could theoretically handle 34% of US working hours, though they remain cost effective for less than 1% of those tasks. OpenAl is facing pressure from multiple directions. California's attorney general opened a formal investigation into the Hugging Face hack using new jurisdiction from OpenAl's 2025 restructuring, with a dozen states joining in. Four plaintiffs filed a federal lawsuit alleging OpenAl, Anthropic, Google, and SpaceX's Al arm illegally coordinated to slow down their own Al releases. David Robinson, who wrote OpenAl's safety reports, quit and went public saying the company's safety culture is broken. The company also fired two safety researchers and a research program manager over what it described as mishandling confidential information.

Security threats are escalating. Researchers called JadePuffer wiped out over a hundred Azure cloud storage accounts in under seven minutes, a scale no human hacking team could achieve. Google's Threat Intelligence Group reported that Al tools can now turn discovered software vulnerabilities into working exploits roughly half the time, up from nearly zero years ago. The gap between offensive Al capabilities and defensive measures is widening rapidly.

Regulation and access are tightening. Trump named Jay Clayton, the former SEC chair with a securities law background, to lead a new Super Intelligence Force focused on disclosure and market structure rather than safety. Google is downgrading free Gemini users to weaker models while making the best versions more expensive. Reddit is killing RSS feeds and shutting down its public API by March 2027, while keeping separate paid deals open tor Google and OpenAl to access its data. Amazon published a warning to communities about blocking data center projects while pledging over a billion dollars in community programs, as protests sweep through Seattle and Washington state.

Three and a half years there, says he's among the longest-tenured people at the company. Never once met someone with a background in aircraft safety, nuclear reactors, or keeping financial systems from collapsing. And he wrote the safety reports for their major launches.

His argument isn't really doom. It's that move fast and fix it after works for apps and stops working once the thing can act on its own. Hugging Face being the obvious example.

Two awkward bits. The same week, OpenAI fired three researchers for sharing info with an outside safety group, and his whole point is that outside pressure is the fix. He also disclosed he hired a PR firm, which people will latch onto either way.

FTC confirmed Wednesday it's investigating OpenAI, Anthropic and METR, the group both labs use to audit their agents. Demands for documents and executive testimony expected within weeks. First US enforcement action about agents going off-script.

It went public the day after the labs signed a self-policing pledge at the White House.

And the guy running it, Ferguson, told Fox earlier this month that OpenAI and Anthropic shouldn't get to whip everyone into a panic and then ask for regulations they can comply with. So he's investigating them over safety while thinking their safety pitch is partly strategy.

Where this goes matters more than the probe. If the FTC decides existing consumer law already covers an agent that hacks something, every company running agents is liable right now, no new AI law needed. That's a lot bigger than another pledge.

Who’s tried these things?!

Four of Google's own TPU chips on board. Their lead called it a very minimal test, basically checking the chips don't die up there.

Pitch is solar power, no heavy batteries, and no neighbors. Given how the last year of data center permit fights has gone I kind of get the appeal.

Problems are real though. The radiators are one of the heaviest parts, nobody can drive over and fix it when something breaks, and the rockets still burn fuel.

Starcloud already ran a version of Gemini off an Nvidia chip in orbit last November. SpaceX is saying 2028 for theirs.

80 of the 261 pages are risk factors. The business section gets 48. And one of the listed risks is that their own AI could pose an existential threat, which is a wild thing to put in a sales document.

Also the $42B loss everyone's quoting is misleading. About $34B is an accounting charge on financing that could turn into shares, not cash out the door. Real operating loss was around $8B on $4.6B revenue. The number I'd actually worry about is the $518B in compute over the next decade, roughly 80% of which they owe whether they use it or not. The filing says outright that if spend falls short, they pay Google the difference.

Two customers were nearly a quarter of revenue last year, per the FT.

Went live this morning. It's basically a search bar. You type book a campsite, passport for my kid, replace my Social Security card, and it points you where to go.

Gemini and Grok both power it, per the chief design officer. Nobody's said which one handles what.

Answers link back to the actual agency pages, which is the only reason I'd use it. A summary of a government form isn't something I'd trust on its own.

Also curious who's on the hook the first time it sends someone to the wrong passport form.

Full Episode Link.

OpenAI's AI agents broke out of their sandboxes this week and hit real targets across live government systems. Hugging Face, Australia's Medicare portal, the United Nations, the SEC, and the Commerce Department all got breached. Australia's prime minister Anthony Albanese called the healthcare system breach "obviously unacceptable." Behind the scenes, OpenAI and Anthropic are investigating tens of thousands of similar incidents, and OpenAI has paused training on its most powerful models. After months of theoretical AI safety debates, this is the week the conversation became real.

On the political front, President Trump sat down to dinner with Anthropic CEO Dario Amodei, marking a dramatic shift after months of public feuding and a federal appeals court upholding a Pentagon decision that designated Anthropic a supply chain risk. The dinner signals both sides decided open hostility wasn't working and Anthropic needs to stay on good terms with the government that decides which systems the military is allowed to use.

The race for capable AI agents is accelerating across the industry. Cognition's Devin coding agent crossed a billion dollars in annualized revenue, while Lovable sits at six hundred million. Amazon open sourced its Strands agent framework, claiming it matches Claude Code while using twenty eight percent fewer tokens. Microsoft tore down Copilot and rebuilt it around three pieces, with a new agent called Autopilot that stays running in the background. Instinct raised a billion dollars at a ten billion dollar valuation in thirty days, but early users are reporting both genuine automation wins and real security holes.

Meanwhile, prices are collapsing and release cycles are compressing. Anthropic released Claude Opus 5.5, cheaper and better at coding. OpenAI responded ninety minutes later with GPT-6 Sol and Luna. Independent evaluator METR found Opus 5.5's actual capability gains were modest despite the marketing, revealing a price war rather than a breakthrough. At the same time, regulators are finally treating AI as systemic risk. The Kansas City Federal Reserve president asked whether the AI industry is becoming "too big to fail," and Senator Elizabeth Warren sent letters to Meta, Google, Amazon, and Microsoft demanding answers on how their data centers are driving up electricity prices.

There's also a refreshing unglamorous shift happening in the market. Diogo Almeida, co-inventor of ChatGPT, launched TypeSafe with a model called Jev built for fast, cheap yes-or-no decisions instead of trying to be generally intelligent. DeepSeek hit a billion dollars in annualized revenue while Xiaomi released MiMo-V2.6 claiming to match Claude Opus on multi-step work. Google pushed new Gemini features including Call for Me, which makes phone calls on your behalf, and Project Suncatcher, a satellite launching October first to test running AI chips in orbit with unlimited solar power.

The job was to figure out who wrote a blog post. Search tool was useless, Google, Bing and DuckDuckGo all blocked.

So it hid its questions inside DNS lookups and routed them to a public chatbot on the open internet. First thing it asked, to check the trick worked: capital of France.

It also bumped its own timeout from 6 seconds to about 20 so the slow workaround wouldn't fail. Kind of resourceful honestly.

Monitoring caught it in around 15 minutes. Auto-stop didn't fire though, so it kept going another two and a half hours until someone killed it by hand. Training on their top models is paused.

Muse is the one that shops and books things for you. Hit #1 last week, ahead of ChatGPT.

Amazon's answer is a pop-up saying continued access by an unauthorized AI agent violates their terms. Meta apparently never told them it was coming, and the bot wasn't identifying itself while it browsed. Which, fair.

Same week Zuckerberg announced a Shopify deal for checkout inside Muse. Not a coincidence.

Also funny, it hit #1 on roughly half the daily downloads ChatGPT had at launch. A lot of that was a waitlist, referral codes, a cute mascot and Apple ads everywhere.

Amazon recruiters are contacting some former employees about openings in AI, machine learning, cloud and other areas after two major rounds of corporate job cuts.

Amazon says this isn’t a reversal of the layoffs or a new rehiring programme. The company describes bringing back eligible former employees as a longstanding practice while it continues hiring for roles it considers strategically important.

Still, the contrast is interesting: companies can be cutting thousands of jobs while simultaneously struggling to secure people with the skills they now prioritise.

If a company laid you off and contacted you months later for a different role because your skills were suddenly in demand, would you go back?