Article · MarkTechPost ·
Block’s AI lab released Dessa, a full-duplex speech-to-speech model trained only on human conversation audio. It runs locally on a MacBook Pro M4 Max, but Block has published no size, benchmarks or weights.
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Microsoft Research and UC Berkeley released TokenEconomizer, an open-source plugin that learns from past sessions to cut coding agent token costs by 18.4% to 30.9% on SWE-Bench, with no change to the agent.
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Anthropic, OpenAI, Cloudflare and Google each released an AI agent that hunts security bugs in source code. All 4 use the same find, disprove, then patch loop. Here is how they differ, plus 12 more tools.
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Samaya AI’s Sterling is a post-trained Nemotron 3.5 Lightning model for financial research. It scores 58.9% on FrontierFinance at $0.61 per question, beating Claude Fable 5.1’s 55.9% at $6.89.
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Edge0 released Audio8-TTS-Realistic, a 0.6B open-weight zero-shot voice cloning TTS model under Apache 2.0. It supports 23 languages and adds a final GRPO stage driven by a learned realism critic.