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Together AI released Together Compiler, an agent-driven loop that keeps re-optimizing the inference forward pass as traffic shifts. It beat the best InferenceX configurations by up to 2.6x TPS in under 24 hours per model.
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OpenAI will be ready to go public in 2027, president Greg Brockman said on Wednesday. Speaking at a Wall Street Journal tech conference in Napa, California, he also said that business customers now account for most of the company’s sales, Reuters reported.
Apple is releasing five new products this Friday, November 6, following pre-orders that opened last week, including its first touchscreen MacBook Pro models.
OpenAI released Images 2.6 and the GPT-Image-2.6 Flare and Sunburst API models. Flare generates images in as little as 6 seconds, and both add GIF output, SVG export, markup edits and a complexity parameter.
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Google Research released Agile Deliberation, a human-in-the-loop framework that helps users define subjective visual concepts through borderline images. In 18 live sessions, it lifted Gemini-based classifier F1 by 10.5 points over zero-shot.
Delivering net zero also at risk, say MPs as they call for centralised policy and funding for mines and diversification The UK is “dangerously” dependent on China for critical raw materials needed for the military, renewable energy infrastructure and AI, a parliamentary investigation has found.
webAI released TwIL-8B, an 8.8B reasoning model post-trained from IBM Granite 4.2 8B. It posts 98.2 on MATH-500 and 81.6 on LiveCodeBench, but trails similar-size models on knowledge benchmarks.
Ricursive Intelligence released Ripple-65B Preview, a 65B dense open-weight LLM under Apache 2.0. It scores 80.5 on Terminal-Bench 2.1, ahead of US open models up to 15x its size.
Tencent’s WeChat Vision team released WeVisOne-VL, an Apache 2.0 vision language model in 2B and 4B sizes. It handles detection, OCR, counting, segmentation and alpha matting in one model, with a 9.6M-parameter pixel decoder.
Anthropic released FlashProve, an Apache 2.0 zkSNARK prototype that proves a reply came from a committed model without revealing weights. It proves Llama 4 Maverick at 110 tokens/second on 1 H100, with 19 MB proofs.
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