AI should turn your sloppy reasoning into mathematical proofs, not the other way around.
RESEARCH
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KAME: Real-Time Speech-to-Speech AI With Deep Thinking
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We’re excited to introduce KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI, accepted at #ICASSP2026! 🐢
— Sakana AI (@SakanaAILabs) 29 avril 2026
Blog https://t.co/eyU3yECBK8
Paper https://t.co/PVYPIcHyyM
Can a speech AI think deeply without pausing to process?
In real… pic.twitter.com/Ut0ypkjJWxWe’re excited to introduce KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI, accepted at #ICASSP2026! Blog https://
pub.sakana.ai/kame/
Paper https://
arxiv.org/abs/2510.02327 Can a speech AI think deeply without pausing to process? In real -
Audio-Omni: Unified Framework for Audio Understanding, Generation, Editing
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What if your AI could not only understand sound but also generate and edit it, all in one model? Researchers from HKUST, Tencent, and Peking University introduce Audio-Omni. It’s the first end-to-end framework that unifies audio understanding, generation, and editing across
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The 8-Layer Architecture of Agentic AI Explained
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The 8-Layer Architecture of #AgenticAI
by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML -
OpenAI DevDay Returns to San Francisco September 29
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OpenAI DevDay is back. San Francisco September 29
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Unlocking Data with Generative AI and RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML -
Polygenic Risk Scores Cardiovascular AI Clinical Implementation Gap
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Polygenic risk scores for 8 cardiovascular traits in both @MassGenBrigham and @AllofUsResearch
—superimposable— strongly indicate risk. Yet still not implemented in clinical practice https://
jacc.org/doi/10.1016/j.
jacc.2026.03.035
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Agentic AI Models Demonstrate Advanced Judgment Capabilities
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One reason I don’t think “judgment” is going to be a distinctly human role in working with AI is that the most recent agentic models have gotten quite good at some types of judgment. You can’t do the kind of high complexity, long-run tasks that current AIs can do without it.
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AGI ALPHA Completes First Real Loop with Evidence Compiler
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Today, AGI ALPHA ran the First Real (RSI) Loop: Nova‑Seed → MARK → mini Sovereign → 5 real jobs → Evidence Docket → reusable compiler → vNext treatment/control improvement. From architecture to replayable evidence. GitHub Actions: https://
github.com/MontrealAI/agi
alpha-first-real-loop/actions/runs/25118498108/job/73612279861
… #AGIALPHA -
NeMo-Automodel: Step-by-Step Guide to Train Your Own Model
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Stop waiting to train your own model. NeMo-Automodel has a step-by-step guide. Go try it