PERPLEXITY 🔥: A Hybrid mode for Perplexity Computer on Mac has been officially announced!

> The Hybrid mode is powered by PPLX Qwen 3.8 27B, a custom post-trained model from Perplexity.

> It also comes with a Privacy Gate feature to detect PII data before it is sent to the cloud.

> Perplexity also open-sourced the Privacy Gate classifier on Hugging Face.

META 🔥: A new Muse Voice Transcribe model from MSL is now available on Meta models API.

SOTA in streaming speech-to-text. Trained on 70+ languages.

As it has been foretold 👀

ANTHROPIC 🔥: Fable 5.1 is now available on Claude and Claude Code.

It requires extra usage credits while priced the same as Fable 5, with 75% cheaper API cache reads.

> Writes in plain language and sticks to what you asked for.

> Creates finished spreadsheets and checks each number as it goes.

> Shows its sources and separates what's known from what's estimated.

Anthropic launches Claude Fable 5.1 and Mythos 5.1

Anthropic launched Claude Fable 5.1 for general use and Mythos 5.1 for vetted defenders and scientists, with lower cache-read costs, stronger benchmark results, customer-controlled data options, and access across major clouds.

🗞 #anthropic @testingcatalog

DAILY AI BRIEF 🗞 — Sept 2

OPENAI 🔥:
> Official “Path to Astra” post is out. Astra is the first model OpenAI has designated as Critical for cybersecurity under the Preparedness Framework. It scored 100% on ExploitBench, found 2 zero-days in evals, and is “coming soon” — advanced cyber tools stay limited to testers / Daybreak Blue at first.
> M1Astra reported on a fresh Astra test prep the same day. Models in testing: vega-alpha (new) and ultima-alpha.

GOOGLE 🔥:
> Gemini 3.8 Flash is already answering on Gemini and in the Gemini app. Some people still have 3.7 selected and get 3.8 anyway.
> WSJ: Google engineers preferred it to Opus for coding in Jetski tests. Official drop looks like today.
> Agentic video understanding is on Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. The model hunts transcript/audio/frames instead of eating the whole file. Up to 88% fewer tokens, 66% lower cost, ~7% better accuracy on long video. API + AI Studio now, Gemini app later.

ANTHROPIC 🔥:
> Claude Fable 5.1 (and Mythos 5.1) is live. 52.6% on Terminal-Bench-Science 0.1 (more than 2x Fable 5) and 55.8% vs 42.0% on Terminal-Bench 4.0. Same list price as Fable 5, 75% cheaper cache reads — about 25% cheaper typically, up to 45% on heavy agent runs.

META 🔥:
> Muse Voice Transcribe is live — MSL’s first real-time audio perception model. SOTA streaming speech-to-text, native diarization (20+ speakers) and endpointing in one model, multilingual with code-switching. Rolling out on the Meta Model API, Meta AI for Mac, and Muse Code. Zero-data-retention tier available.

XAI 🔥:
> Elon: “Grok 4.7 comes out in 10 days.” That’s ~Sept 12. Reply to Tobi on Grok 4.6.

ALIBABA 🔥:
> Qwen3.8-Max-0902 is live on QwenCloud. Same 2.4T / 1M-context Max line, with extra post-training on coding and cowork. $2 in / $6 out per 1M tokens. Arena has it #1 on Code Arena: WebDev at 1691 — 3 pts above Claude Opus 5 (Max) and 22 pts above the previous 3.8-Max.

WORLD LABS 🔥:
> Fei-Fei Li’s lab shipped Atlas, an omni world model. Few photos > pixel-perfect camera control, up to 1 min of 1440p video, plus 3D reconstruction (point clouds / Gaussian splats). Early access only; it will power future Marble. No paper, no public API yet.

* Too much is happening, and I also have some scoops planned for today.
** I used Grok to compose this brief, cherry-picking the news and doing some post-editing.

Muse superapp from Meta and Ava model with computer use

META 🔥: A new model named Ava with computer-use capabilities is undergoing closed testing in the Meta AI desktop app.

> "Agentic assistant with computer use."

Users can also enable apps for computer use individually, directly from the window attachment menu.

> "Clicks, types and scolls only in this window."

Watermelon, is this you? 👀

🗞 #meta @testingcatalog

GOOGLE 🔥: Gemini 3.8 Flash is already available in Agent Studio on GCP.

Best for
- Complex multimodal data processing
- Coding use cases
- Supporting software engineering–related agentic tasks

Use case
- Processing data with images and text
- Coding problems
- Web research and application testing