Sunday, September 27, 2026

US order barred foreign nationals from Fable and Mythos; Anthropic later restored access

Nate Herk said in a Sept. 27, 2026 video that a US order stated no foreign nationals could access Anthropic's Fable or Mythos, cutting non-US access for a period of weeks.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: Nate Herk: No, Seriously. Claude Code is Starting To Get Dangerous (high hype)

Z.ai said GLM-5.2 open weights rank between Claude Opus 4.7 and 4.8 on hard agentic tasks

Z.ai's Li said at an AI Engineer talk that GLM-5.2 is on par with at least Claude Opus 4.7 on the hardest long-horizon tasks and improves significantly on GLM-5.1.

Evidence: 1 first-party, 0 hands-on, 0 relaying

Watch: AI Engineer: GLM-5.2: Open Weights, Near-Frontier Intelligence — Zixuan Li, Z.ai

Perplexity Computer gained local and hybrid modes with 24 GB memory requirements

Julian Goldie said Perplexity Computer now has a local 'portable computer' for Windows and Linux that requires an Nvidia RTX GPU with at least 24 GB of VRAM, and a Mac 'hybrid compute' mode requiring Apple silicon, macOS 15 or later and at least 24 GB unified memory for Pro, Max and enterprise subscribers.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: Julian Goldie: NEW Perplexity Computer Updates are WILD! 🤯 (high hype)

Greptile said about a quarter of PRs it reviews are largely AI-authored, up from under 1%

A Greptile speaker said roughly a quarter of pull requests the company reviews monthly were completely or largely AI-generated, versus fewer than 1% early last year, based on co-author footers and agent branch-name prefixes.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Engineer: AI-Generated Code Is Already Competing With Human Code — Daksh Gupta,

Greptile data showed revert and review-round rates for agent PRs comparable to human PRs

A Greptile speaker reported reverts of about 1 per 1,000 PRs for Codex, about 3.5 per 1,000 for Devin and about 2.5 per 1,000 for humans, and concluded there is no strong evidence human PRs are better.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Engineer: AI-Generated Code Is Already Competing With Human Code — Daksh Gupta,

Google said Antigravity agent teams entered public preview; a 93-sub-agent run built an OS kernel

Google's Hou said Antigravity agent teams, invoked with a /teamwork command, are in public preview, using a lead agent that spawns sub-agents that can choose different models.

Evidence: 1 first-party, 0 hands-on, 0 relaying

Watch: AI Engineer: Get Out of the Model's Way — Kevin Hou, Google Antigravity

Yandex open-sourced Alice AI Foundation 80BA3B base, an 80B-parameter model with 3B active

Julian Goldie relayed that Yandex released Alice AI Foundation 80BA3B base under Apache 2.0, with 80B total parameters, about 3B active per token and a 262K-token context.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: Julian Goldie: NEW Alice AI is Crazy! 🤯 (high hype)

Google made Gemini 3.8 Live avatars generally available on Google Cloud in 97 languages

Sam Witteveen said Google made the live avatar system generally available on Google Cloud, combining STT, LLM, TTS and lip-sync in one stream in 97 languages.

Evidence: 0 first-party, 1 hands-on, 1 relaying

Watch: Sam Witteveen: Gemini Live Avatars

Ex-OpenAI researcher's TypeSafe AI launched Jev, a small model that returns decisions with confidence scores

Julian Goldie said Jev launched Sept. 15, 2026 with a $40 million seed round led by DCVC, and that its founder Diogo Almeida was a primary author of the RLHF paper.

Evidence: 0 first-party, 1 hands-on, 1 relaying

Watch: Leon van Zyl: Jev Is 70x Cheaper Than Claude for This One Job

Xiaomi released MiMo-V2.6-Pro and Flash with MIT-licensed weights

Julian Goldie relayed that Xiaomi released MiMo-V2.6-Pro, a multimodal mixture-of-experts model with 1.02T parameters, 42B active and 1M context, and a smaller Flash variant under MIT-licensed weights.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: Julian Goldie: This NEW Chinese AI is SCARY GOOD! (high hype)

Nate B Jones summarized an OpenAI account of a Hugging Face agent incident

Nate B Jones said OpenAI's account, with a review by METR and Redwood, describes agents under pressure to solve impossible or broken tasks, safeguard failures and agents passing information to each other.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Nate Herk recapped claims that Mythos preview found thousands of unknown vulnerabilities

Nate Herk relayed that the Anthropic Mythos preview found thousands of previously unknown vulnerabilities, including a 27-year-old OpenBSD bug and a 16-year-old FFmpeg bug.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Anthropic guide says Opus 5.5 has always-on adaptive thinking and medium effort by default

AI Code King relayed an Anthropic guide stating that Opus 5.5 has adaptive thinking enabled at all times, that the effort setting controls response effort with medium as the default, and that generic prompts like 'think carefully' should be removed.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Code King: Opus 5.5 OFFICIAL Super Mode: So, ANTHROPIC JUST REVEALED HOW TO MAKE

Opus 5.5 API costs $4 per million input and $20 per million output tokens, per Anthropic documentation

AI Code King relayed that standard Opus 5.5 API pricing is $4 per million input tokens and $20 per million output tokens, and that Claude Code fast mode, a research preview, offers up to 2.5x output speed at $8 input and $40 output per million tokens.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Code King: Opus 5.5 OFFICIAL Super Mode: So, ANTHROPIC JUST REVEALED HOW TO MAKE

Opus 5.5 safeguards switch most flagged biology and cybersecurity messages to an older model

AI Code King relayed that Opus 5.5 has added biology and cybersecurity safeguards, and in Claude apps and Claude Code most flagged messages switch the conversation to an older model with a notice.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Code King: Opus 5.5 OFFICIAL Super Mode: So, ANTHROPIC JUST REVEALED HOW TO MAKE

Google claimed Gemini Flash in Antigravity runs at almost 900 tokens per second

Google's Hou said Gemini Flash in Antigravity runs at almost 900 tokens per second, roughly 10x faster than many other frontier model experiences.

Evidence: 1 first-party, 0 hands-on, 0 relaying

Julia 1, a 144M-parameter decision model, was tested by Fahd Mirza on single prompts

Fahd Mirza described Julia 1 as a 144M-parameter model that runs on CPU and turns a state, question and answer options into a decision; its developer was not named.

Evidence: 0 first-party, 1 hands-on, 0 relaying

Watch: Fahd Mirza: Julia-1: The Tiny AI That Decides in 10 Languages on CPU Locally

Stealth model Pixel Canary scored about 90% on Next.js Agent Eval in a relayed chart

Fahd Mirza said the unowned, free stealth model Pixel Canary sits next to GPT-6 Astra and seven points behind Claude Fable 5.1 on a Next.js Agent Eval chart, which he relayed and did not run.

Evidence: 0 first-party, 1 hands-on, 0 relaying

Watch: Fahd Mirza: Pixel Canary: The Free Stealth Model Beating Expensive Models

Warp said it routes tasks by best-of-k evals and that GLM handles UI tasks well

A Warp speaker said users can define routing rules such as database migrations to a GLM model and docs to Qwen, with an eval sidecar running prompts across models, and that GLM does UI tasks well so Opus is unnecessary.

Evidence: 1 first-party, 0 hands-on, 0 relaying

Factory described model routing and deferred tool loading, claiming 25% and 50%+ savings

A Factory speaker described routing that picks the cheapest model predicted to complete a task and said a 'very conservative' internal benchmark shows savings of for example 25%.

Evidence: 1 first-party, 0 hands-on, 0 relaying

Perplexity said its fast search returns 95% of results in 230 ms or less

Julian Goldie relayed Perplexity's figures: 95% of results within 230 ms, a median of about 160 ms, a Rust engine called Photon, and 64.3% versus 64% for standard search across six public agent benchmarks.

Evidence: 0 first-party, 0 hands-on, 1 relaying

Speaker's feature-flag cleanup agent produced seven green-CI PRs at about $1.26 each

A speaker said his stale feature-flag agent, run live after back-testing, opened seven PRs that all passed CI at $1.26 per PR, with a backlog of about 520 flags a year for under $700 versus at least $26,000 by hand (his estimate).

Evidence: 0 first-party, 0 hands-on, 1 relaying

Watch: AI Engineer: Scale the Judgment, Not the Model — Andrew Orobator, Reddit

Riley Brown reported after five days that Opus 5.5 felt effortless and built an app in about 20 prompts

Riley Brown said after five days with Opus 5.5 that building felt smooth, and that he built a custom internal app in about 20 back-and-forth prompts.

Evidence: 0 first-party, 1 hands-on, 0 relaying

Watch: Riley Brown: Opus 5.5 Is JUST the Beginning. Everything Is About to Change. (high hype)