Friday, September 11, 2026

24 video stories

Then, from YouTube

What AI YouTube said

Coverage: 73 videos from 39 of 111 monitored channels reviewed (0 partial or status unknown); videos under 45 s were not reviewed. Dates are UTC upload dates. Vendor claims are labelled as such.

Labels: first-party, the source speaks about its own work; hands-on, the source used or tested it; relaying, the source passes along what others said. They are not accuracy ratings.

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Continuing stories

GPT-6 Astra and Claude Fable 5.1 launched days apart; sources cite differing benchmark leads

Claude Fable 5.1 launched Sept. 1 and OpenAI's GPT-6 Astra on Sept. 3, Julian Goldie said, both with roughly 1M-token context, up to 128,000 output tokens and the same headline API price.

Evidence: 0 first-party, 0 hands-on, 4 relaying

Watch: Theo - t3.gg: Fable Vs Astra Debate Is Over

OpenAI reportedly claims Navier-Stokes result from 10,000 agents; cost figures differ

Panelists and creators in Sept. 11 videos said OpenAI claims to have solved the Navier-Stokes Millennium Prize problem using about 10,000 agents in parallel.

Evidence: 0 first-party, 0 hands-on, 4 relaying

Watch: IBM Technology: OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWor

Theo finds Astra ahead on 3D rendering and speed, Fable 5.1 on mergeable PRs

Theo, in a sponsored video, reported hands-on comparisons of GPT-6 Astra and Claude Fable 5.1.

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

Watch: Theo - t3.gg: Fable Vs Astra Debate Is Over

Meta launched Muse, a personal agent on web and WhatsApp in the US

Meta launched Muse, a personal agent that acts on a per-user cloud virtual machine with a browser and storage, per Julian Goldie and Matt Wolfe, available in the United States on web and WhatsApp and through iOS and Android apps, with Meta glasses later.

Evidence: 0 first-party, 1 hands-on, 2 relaying

Watch: Matt Wolfe: AI News: The AI World is REALLY Scared Right Now

DeepSeek released V4.1 Flash, an open-weights multimodal model with vendor-reported benchmarks

DeepSeek released V4.1 Flash, which Matthew Berman, reading the vendor blog, described as an open-weights 552B mixture-of-experts model (8B active for input and 16B for output, as spoken) with Terminal Bench 3.0 score 30, DeepSWE 74.2, CyberGym 88.1 and ExploitGym 15.

Evidence: 0 first-party, 1 hands-on, 3 relaying

Watch: Julian Goldie: Deepseek v4.1 is SCARY GOOD! (high hype)

Hands-on tests of DeepSeek V4.1 Flash show fast output but failures on harder tasks

Matthew Berman eyeballed about 200 tokens per second (a 1000-word essay in about 6 seconds), but V4.1 Flash failed his Rubik's Cube simulation in DeepSeek chat and in the Codex harness, and Paintbench and bullet-through-water tests gave mixed results.

Evidence: 0 first-party, 3 hands-on, 1 relaying

Watch: Matthew Berman: Deepseek did it again...

Also notable

Artificial Analysis cost-per-task figures put GPT-6 Astra below Fable 5.1 and Opus 5

Theo, relaying Artificial Analysis, said cost per task was $3.26 for Astra, almost $6 for Opus 5 and $7.60 for Fable 5.1, with Astra using about 27K tokens where Fable 5.1 used almost 80K.

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

Watch: Theo - t3.gg: Fable Vs Astra Debate Is Over

Users report GPT-6 Astra building tools and driving desktop apps in clips and demos

OpenAI-published clips in which users describe Astra: one said it built an adjustable stripe-font tool in about 15 to 20 minutes, another said it makes thumbnail adjustments in Affinity and preps and color-grades in Final Cut through computer use, and a third said it iterated website designs with matching details unprompted.

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

Watch: Letta: Letta Office Hours: OpenAI's Astra Arrives on Letta

Advantage host reports one Astra run from two photos to an uploaded print poster

In a sponsored video, The AI Advantage host said he gave GPT-6 Astra (ChatGPT desktop Work tab, medium setting) one brief, and it made and edited an image, laid out an editable Canva poster, exported a print PDF, uploaded an 18x24 in poster to a printer, then stopped the OBS recording.

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

Watch: The AI Advantage: ChatGPT Images 2.5 Is Here. Together With Astra It’s Crazy

Buckmaster and Alpige report Euler blow-up; dispute with OpenAI over credit; Tao comments

Fireship said NYU professor Tristan Buckmaster and Levent Alpige, who works at Anthropic, used Claude Code and Codex from mid-August and on Aug. 15 got the Euler equations, a simpler cousin of Navier-Stokes, to fall apart.

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

Watch: Fireship: OpenAI's biggest math breakthrough is getting ugly...

Jacob Cox posted Anthropic resignation warning of AI extinction risk; critics dispute framing

A pretraining researcher identified as Jacob Cox posted on Sept. 8 that he was resigning from Anthropic after three years of pretraining research at OpenAI and Anthropic and that neither company acts responsibly, per Sentdex, who said the post drew about 740,000 likes and 187,000 retweets.

Evidence: 0 first-party, 0 hands-on, 3 relaying

Watch: Sentdex: Effective Doomerism

Sentdex says Irregular ran the Hugging Face agent-hacking benchmark in a weak sandbox

Sentdex said later information showed the benchmark run in which agents hacked Hugging Face was run by a third party called Irregular, not OpenAI, and that the sandbox had internet access and apparently was just a Docker container.

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

Watch: Sentdex: Effective Doomerism

DeepSeek says V4 Pro requests redirect to V4.1 Flash from Sept. 14

Julian Goldie relayed that DeepSeek will retire V4 Pro, with requests redirected to V4.1 Flash on Sept. 14, and that V4.1 Flash is multimodal (text and images).

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

Watch: Matthew Berman: Deepseek did it again...

DeepSeek says V4.1 needs a quarter of KV-cache HBM and an eighth of SSD

Matthew Berman relayed DeepSeek's claim that V4.1's KV cache needs one fourth of the HBM and one eighth of the SSD storage, with memory footprint described as 8x smaller than V3.2, 13x than V4 Flash and another 4x from V4 to V4.1, as spoken.

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

Watch: Matthew Berman: Deepseek did it again...

DeepSeek V4.1 Flash API has peak and off-peak prices; free Token Harbor access reported

Matthew Berman cited DeepSeek V4.1 Flash API prices of 15 cents per million uncached input tokens off-peak and 30 cents at peak, with cached input a fraction of a penny and output at 60 cents off-peak, with a peak figure of $120 per million as spoken.

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

Watch: Julian Goldie: How to use DeepSeek V4.1 Flash API for FREE!

Cognition released SWE-2, post-trained from Kimi K3, citing its own benchmark gains

Cognition released SWE-2, post-trained from Kimi K3 with reinforcement learning, according to AI Code King, which relayed Cognition's figures: Frontier Code 11 main 44.2% (K3) to 50% (SWE-2), Terminal Bench 2.1 88.3% to 92.8%, and Terminal Bench 4 27.3% versus 57.9% for GPT-6 Astra.

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

Watch: AI Code King: SWE-2 (Fully Tested): WHAT? IT ACTUALLY BEATS ASTRA & FABLE!

Models and learning

AI Code King scored SWE-2 67/80 on KingBench 3; it asks many clarifying questions

On his KingBench 3, AI Code King scored SWE-2 at 67 of 80 (83.75%) versus 65 of 80 for DeepSeek V4.1 Flash, across eight tasks scored out of 10: SWE-2 won three, lost two and tied three.

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

Watch: AI Code King: SWE-2 (Fully Tested): WHAT? IT ACTUALLY BEATS ASTRA & FABLE!

Edge0 preview claims Qwen 3.5 35B A3B runs in under 3 GB on Macs

Fahd Mirza relayed repo claims that Edge0, a preview for macOS Apple silicon only, runs a 35B mixture-of-experts tier (Qwen 3.5, 256 experts, 4 active per token) in about 2.9 GB peak at 15 to 18 tokens per second on a Mac Mini M4 Pro, and a smaller 8B tier at 24 to 25 tokens per second in about 1 GB.

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

Watch: Fahd Mirza: Run 35B Model on Phone Under 3GB Memory with Edge0

OUI-1 diffusion UI generator tested locally: under-second screens but parser errors on dense layouts

Fahd Mirza described OUI-1 as a diffusion model fine-tuned from Google DiffusionGemma with 4B active parameters that outputs OpenUI Lang and generates a whole screen in one shot.

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

Watch: Fahd Mirza: OUI-1: Builds UI Screens Instantly Locally

LeVJEPA trains a video JEPA with one encoder and no EMA teacher, presenter reports

A presenter in a Cohere series described LeVJEPA, which uses one encoder with an MSE plus SIGReg loss and no EMA teacher or stop-gradient.

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

Watch: Cohere: Lukas Kuhn - LeVJEPA Efficient & Scalable Video Pretraining without t

Open-weight voice agent identified language correctly in 446 of about 500 traces

A speaker in a Cohere session reviewed roughly 500 traces from about 500 users over about a month, saying language was identified correctly for 446 (about 90%), end-to-end turn completion was about 89%, and 410 traces had correctly observed answer audio.

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

Watch: Cohere: Suneel Sunkara - Building Voice Agents for Asian Languages Applied L

Hugging Face shows OpenEnv CLI and GRPO training demos on small models

Hugging Face speakers described an OpenEnv CLI with init, push, pull and fork commands, validate and discover due in the next release, and about 4,000 environments on the Hub; environments are Docker apps deployable to Spaces, sandboxes, Modal, Daytona, Kubernetes or local.

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

Watch: Hugging Face: Training Agents 4: From reward functions to environments.

Hands-on tests find ChatGPT Images 2.5 edits more consistent but not perfect

The AI Advantage host edited a mug to forest green and a poster from coffee to croissant; framing stayed nearly identical but lighting and table structure shifted, and a multi-edit chain on a headshot kept identity.

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

Watch: The AI Advantage: ChatGPT Images 2.5 Is Here. Together With Astra It’s Crazy

Hermes Desktop manages llama.cpp and picks local model builds per machine

Julian Goldie said Hermes Desktop downloads and manages llama.cpp, chooses a model build to fit the machine, handles context and GPU layers automatically, and needs no account or API key; models can also come from Hugging Face or a local GGUF.

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

Watch: Julian Goldie: Hermes Desktop Can Now Set Up Local AI in ONE Click

Sources reviewed (73 videos)

All 73 videos read for this edition, grouped by channel. Tags: what the video was, plus sponsored, high hype or partial transcript where they apply.