The 2020s are like the 1970s, except everything happens a lot faster. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026
The 2020s are like the 1970s, except everything happens a lot faster.

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The 2020s are like the 1970s, except everything happens a lot faster. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026
The 2020s are like the 1970s, except everything happens a lot faster.
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For years, voice AI has been stuck in a rigid loop: think, then speak. But real human conversation is messy, overlapping, and asynchronous.
— hardmaru (@hardmaru) 29 avril 2026
In our new #ICASSP2026 work, we built a tandem architecture that shifts the paradigm to “speak while thinking.” A fast speech model starts… https://t.co/gyRFlqDSUj
For years, voice AI has been stuck in a rigid loop: think, then speak. But real human conversation is messy, overlapping, and asynchronous. In our new #ICASSP2026 work, we built a tandem architecture that shifts the paradigm to “speak while thinking.” A fast speech model starts
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AI should turn your sloppy reasoning into mathematical proofs, not the other way around.

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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/Ut0ypkjJWx
We’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

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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 #AgenticAI
by @Python_Dv #AI #LLM #ArtificialIntelligence #MachineLearning #ML
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OpenAI DevDay is back. San Francisco September 29

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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

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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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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.