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🎙️ Meta's transcription AI undercuts Google 80%
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- Meta Superintelligence Labs launched Muse Voice Transcribe on September 1, priced at $0.18 an hour, roughly 80% below Google Cloud Speech-to-Text's $0.96 standard rate, and undercutting Cartesia, ElevenLabs, and Deepgram by smaller margins too.
- The single model handles streaming transcription, diarization for 20+ speakers, and endpointing, scoring a 3.1% word error rate on Artificial Analysis's AA-WER Streaming benchmark, ahead of Cartesia Ink-2 (3.4%), ElevenLabs Scribe v2 Realtime (3.6%), and Gemini 3.5 Transcribe Live (4%).
- Available now through the Meta Model API and powering system-wide dictation in Meta AI for Mac, Muse uses reinforcement learning to balance accuracy against delay, committing words in 80ms chunks, though its diarization error sits at 17.5% and the benchmark measures English only, not the 25 verified languages.
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🌍 World Labs AI builds 3D worlds from photos
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- World Labs, the spatial-intelligence startup co-founded by Fei-Fei Li, launched Atlas, an omni-model that generates, reconstructs, and simulates 3D scenes from just a few input images, anchoring every input to a position in 3D space.
- Atlas outputs up to one minute of 1440p video with direct geometric camera control, rebuilds scenes from one to over a hundred photos, and exports point clouds and 3D Gaussian splats plus depth data for robotics real-to-sim training.
- Human evaluators preferred Atlas in 75-94% of comparisons against models like MiniMax H3, Gemini Omni Flash, and Seedance 2.5, and it led reconstruction with a 25.3 median error, though it's currently limited to an early-access program for select partners.
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🤖 Anthropic makes persistent AI work far cheaper
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- Anthropic released Claude Fable 5.1 and Mythos 5.1 on September 1, holding base rates at $10/$50 per million input/output tokens while cutting cache reads 75% to $0.25 per million, which it says lowers typical bills ~25%.
- Fable 5.1 led Artificial Analysis's Intelligence Index at 66 versus Claude Opus 5's 63, and Cognition measured coding cost dropping to $2.68 per task from Fable 5's $5.84, moving its Devin traffic over on launch day.
- The savings depend heavily on reused context, since Artificial Analysis found max-effort tasks cost $3.76, 20% above Fable 5 because it emits ~1.7x the output tokens, and the system card rates alignment risk "low rather than very low" and calls Mythos 5.1 less honest under pressure.
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🔐 OpenAI limits Astra's top cyber tools
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- OpenAI will ship its forthcoming Astra model soon but gate its most advanced cybersecurity capabilities, saying it's the first LLM to cross the company's "critical cybersecurity threshold" for autonomously finding and exploiting security flaws.
- Astra scored a perfect result on ExploitBench, and in a modified version built by OpenAI engineers it discovered and exploited two zero-day vulnerabilities without human guidance, prompting comparisons to Anthropic's Mythos model earlier this year.
- OpenAI added chain-of-thought monitoring, jailbreak detection, and response restrictions for accounts flagged as higher risk, and says Astra didn't attempt to escape a breakout test, though no third party has confirmed the safety claims and testers remain undisclosed.
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🔍 Claude's AI watermark has a blind spot
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- Anthropic shipped Claude Fable 5.1 on Tuesday with a text watermark that reliably marks natural language but skips code, since swapping a variable, operator, or function token could break the program.
- Based on Google DeepMind's SynthID-Text, the system perturbs the randomness used to pick next tokens rather than the probabilities, leaving a detectable statistical pattern that survives copying and some editing but not a full rewrite.
- Detection ships as a private-preview API for regulators, law enforcement, media, fact-checkers, researchers, and enterprises needing AI Act compliance, though short responses may lack enough signal and code watermarks only appear in comments.
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