97 summarised stories about Multimodal Models, each linking back to the original source. Browse all topics →
The Register 1 month ago 49
Piotr Migdał tested leading AI models for identifying mushrooms and found they give unreliable results for safe versus deadly species. The best model, Gemini-3.8-flash, was correct on its first guess only 65% of the time. As a result, the dataset and findings push people to not eat mushrooms based on AI outputs and instead rely on manual expertise or safer species until identification accuracy is proven.
MarkTechPost 1 month ago 5 ● 8 sources
Meta Superintelligence Labs released Muse Voice Transcribe as a single autoregressive model that performs streaming ASR, speaker diarization, and endpointing together. It is priced at $3.00 per 1,000 audio minutes. The move removes the need to stitch multiple voice modules and enables deployment only via Meta’s hosted Model API (no weights released).
SiliconANGLE 1 month ago 29 ● 2 sources
World Labs Inc. released Atlas, a multimodal “omni model” that reconstructs and renders 3D scenes with precise camera control from a single image input. World Labs says it raised $1.2 billion in funding before Atlas’ debut, and it has now made Atlas available in early access for select enterprises. Atlas is positioned to shift development toward more accurate simulated environments for robotics training by generating RGB images and depth readings as robots move through reconstructed spaces.
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15 October 2026
Anthropic’s IPO momentum dominated today’s AI news, and the details read like a pitch built for CFOs, not just researchers. The company told investors its third-quarter revenue hit $16.8 billion, up about 46% quarter over quarter and nearly 50% in the story’s framing, putting it on a clear path toward public-market scrutiny. Crucially for the valuation talk, distillation—how labs compress and reuse model knowledge—contributed only 5% to 7% of revenue before being “cut back materially” in Q3, shifting the mix away from spending and dependencies that other labs leaned on. An early backer’s market-odds math expects shares priced around $1.8 trillion with a trading value of $2.3 to $2.4 trillion, even comparing that jump to SpaceX’s roughly $2.1 trillion opening-day market cap.
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