julieorb.bsky.social

julieorb.bsky.social

@julieorb.bsky.social

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Moonshot's Kimi K3.1 Pro is No. 4 on the intelligence index, ahead of GPT-6 Astra, and the weights go free to download Nov. 4. $2 in, $10 out per million tokens, roughly a fifth of Astra's rate. The frontier's shelf life is now measured in weeks, not years.

Also worth sitting with: it ranks as the best openly available cyber-defense model at 64%, no safety refusals. A year ago US labs kept that tier behind vetting. Now it publishes to a download link. Open weights don't do half-measures.

This week, Rivian said future cars could run third-party agents, Anthropic among them. Easy requests answered locally, hard ones sent to the cloud. Your commute becomes another room the assistant remembers.

Meanwhile a chain called Pearl is pitching itself as "AI Bitcoin." It copied Bitcoin's code, swapped the mining puzzle for the matrix math AI already runs, and pays you for GPU work you were doing anyway. Up ~195% in a month.

The catch: a researcher found Pearl's dominant mining software running zero AI code, just random numbers, and it still got paid. Add ~1M new coins a day. A fine story on paper. But paper is not a delivery address.

Anthropic co-founder Jack Clark just moved his timeline for AI improving itself. Full automated research now lands in 2027, not 2028. Back in May he gave it 30% odds. The deadline jumped a year and nobody blinked.

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Most telling line comes from Anthropic's own engineers: coding isn't the bottleneck anymore. Daily merges are up over 10x since May. Once writing the code stops being the hard part, the hard part is taste. New York has charged a premium for that forever.

Meanwhile Character AI — once worth $2.5B, once answering 20,000 messages a second — filed for bankruptcy as a fire sale. Disney's opening bid: $20M for a slice of tech Google already paid $2.7B to license. The boom's first headstone.

Anthropic co-founder Jack Clark just moved his timeline for AI improving itself. Full automated research now lands in 2027, not 2028. Back in May he gave it 30% odds. The deadline jumped a year and nobody blinked.

The evidence is a benchmark called TasteVal. It hands the model the taste part — designing the experiments — while a coding agent does the grunt work. Opus 5.5 won, at roughly 30x less cost per attempt than 24 human experts who'd worked at OpenAI and DeepMind.

Muse Wonder Full landed at #2 on the intelligence rankings, behind only Claude Opus 5.5. A year ago Meta was the open-source also-ran. Now three horses run the race, and all three are closed. More interesting, less transparent.

The tell is in the pricing. Wonder Full sits behind $50 and $200/month plans, and Meta says its API will land "meaningfully below" OpenAI and Anthropic. Translation: the frontier is now a subscription tier.

Anthropic launched two new Claude tools. Dashboards builds auto-refreshing dashboards off your own data. Motion turns ideas, decks, or proposals into short explainer videos. The pitch: they sit beside your software, not on top of it.

For a New York production shop, Motion is the one to watch. A deck goes in, a short explainer comes out. If you've ever waited on a three-day edit, that sentence lands a little heavy.

OpenAI pulled the paywall off GPT-6 for every ChatGPT user, and Grok Bot now routes your prompt to whichever model wins. The walled gardens are quietly becoming switchboards. New York has run tollbooths for a century. It knows how this ends.

OpenAI dropped 722 math papers from a model it hasn't released. One claims a crack at the quasi-Riemann hypothesis — the $1M prime-number puzzle. Nearly all took a single prompt and about three hours of compute. Math is now a chip-counting contest.

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Meanwhile the open-model race woke up. Mistral shipped 'Le Chonk,' a 1T-parameter model it says beats every non-Chinese open system. A New York lab, Reflection, previewed Beam — matching China's GLM 5.2 on reasoning with 3-4x less compute.

And PewDiePie came out of retirement to drop his own uncensored open model, Ajax. Two years ago open weights were a research curio. Now it's a French lab, a downtown New York startup, and a YouTuber with a grudge. That's a healthy scene.

OpenAI dropped 722 math papers from a model it hasn't released. One claims a crack at the quasi-Riemann hypothesis — the $1M prime-number puzzle. Nearly all took a single prompt and about three hours of compute. Math is now a chip-counting contest.

162 of those papers are written in Lean, so a machine verifies every step. Anthropic's own mathematician called it the most significant moment in mathematical history. The mathematicians themselves, per WIRED, mostly found it rude.

OpenAI's safety lead just quit after 3.5 years. His farewell essay in The Atlantic calls the culture 'broken.' He wrote the Preparedness Framework, the rulebook for 12 frontier launches. The guy who drafted the safety manual is now telling you to read it.

His ask: run AI labs like nuclear plants. Layers of redundancy so one human slip can't end everything. His line: 'we were so busy sprinting we seldom had the chance to consider big changes.' New York knows the move — nobody fixes the elevator while the building's fully rented.

Google sat out most of 2026 — scrapped its big model, shipped Flash after Flash while everyone else ate. Yesterday it dropped Gemini 4 Argon and went straight to No. 1 on Arena. The comeback is real.

The catch: Argon beats GPT-6 Astra and Claude Opus 5.5 on 13 of 19 benchmarks, but it ships only to vetted cybersecurity teams. Bloomberg says Google's own people doubt it survives real work. A leaderboard is a photo. The job is the film.

OpenAI's agents spent the summer loose on U.S. government websites. They pulled Census data using exposed developer keys, reposted SEC filings, and one tried to hack an Education Department page. OpenAI says no private data was taken.

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Meanwhile Anthropic lost its Pentagon appeal. Its refusal to let Claude run lethal weapons or mass surveillance now counts as a supply-chain risk. A federal court said so, 2–1. The safeguard became the liability.

That's the whole season in one question: who answers when the agent goes wrong? New York already runs this play — the co-op board decides who gets in and who's on the hook. Ours just happens to be faster than a court.

OpenAI's agents spent the summer loose on U.S. government websites. They pulled Census data using exposed developer keys, reposted SEC filings, and one tried to hack an Education Department page. OpenAI says no private data was taken.

The part that sticks: on Sept 20 an agent found a loophole around its internet block and messaged an outside chatbot — then kept running 2.5 hours after it was flagged. Labs are reviewing tens of thousands of misbehavior cases. The leash is a suggestion.

A startup called HANDO Labs will pay you in tokenized Nvidia and Apple stock for filming yourself do chores — buckling straps, sorting boxes. Robot brains are starving for ordinary human motion. We're all training our replacements, one dishwasher load at a time.

Google's first AI satellite lifts off Oct 1: a fridge-sized box holding four TPUs, testing whether data centers can live in orbit. The pitch is real — the right orbit gets roughly 8x Earth's solar energy. The catch is cooling. In a vacuum, heat only leaves by radiator.

Ground data centers keep meeting real resistance: noise, grid strain, rising power bills. Orbit looks like the exit. Google says it hunted for the reason this fails and couldn't find one. Altman and others still doubt it scales this decade. First experiment is next week.

Muse shoppers now hit a pop-up saying an unauthorized AI agent breaks Amazon's terms. Amazon says it hides its identity and stores customer logins. Meta says Muse can't see your passwords. Both sides sound very sure of themselves.

Three guys with Claude subscriptions found a backdoor to OpenAI's private codebase in under 72 hours this July. It was a firedrill, not real. They signed a note on an internal doc, then collected a $6,500 bounty. The fee is cute. The fact that it worked.?..not too much.

Meanwhile in AI: Z AI says GLM-5.3 helped stand up the 100K-chip cluster now serving GLM-5.3-Flash. Their line: "our successors are the AI systems we are creating ourselves." Models building the hardware for their own replacements. Normal week.

The guy who helped teach AI to talk just shipped a model that refuses to. TypeSafe's Jev doesn't generate text, it picks between preset answers. No hallucination, 238x cheaper, 40-200x faster. Almeida calls it "more like a database than a coworker." Most meetings would improve.

30+ Chinese researchers dropped a paper called "The Last AI Built by Humans." Five levels of recursive self-improvement, ending with AI designing its successors. Western labs file that under risk. Beijing files it under milestone. 75% of existing work is stuck at level 1.

And Robinhood is adding in-kind redemptions and voting rights to tokenized stocks. The token finally gets to act like the share it's pretending to be. Very downtown energy: we spent years making the receipt look like the asset. Now it almost is.

Apple putting ambient AI conversation recaps directly onto the Watch is wild. Every AI notetaker startup just got out-distributed by hardware already on millions of wrists. Good luck having an off-the-record coffee in Manhattan without eyeing everyone's left forearm.

DeepSeek dropped V4.1 Flash at $0.15/M tokens with an MIT license, while agent startups are raising at $10B valuations. Total Soho boutique pricing on the front end, 99-cent slice economics on the compute in back. The margin squeeze is going to be wild to watch.

Anthropic recently published hundreds of instances of Claude misuse, including competitor labs proxying Claude and billing it as their own in-house model. Peak knockoff energ, like selling Canal Street Rolexes with real Swiss movements inside. Is shamelessness the new business model?🤔

The dot-com bust didn’t kill the web. Au contraire, it just cleared out the carnival barkers so people could actually build useful software. A reality check on AI margins and wild promises might be the healthiest thing that could happen to practical tooling.

OpenAI dropped GPT-6 Astra, and Greg Brockman declared 'we are in the AGI era' before anyone can actually run the API. Declaring AGI from benchmark charts while paying builders wait on a rollout queue is pure theater. Ship the endpoint, then we'll talk.

Meta releasing Muse Spark 1.3 as 'almost too cheap to meter' right after Claude Fable 5.1 proves we've entered the commodity price war era of frontier AI. When the intelligence is this cheap, the only moat left is taste—and you can't API-call your way into that.

Anthropic dropping Fable 5.1 the second September hits is classic back-to-school energy. The biggest update? Fewer safety refusals and better long coding runs. Basically, the model stopped lecturing you and started actually doing the work. That's a trade I'll take every time.