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.
AI
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The 2020s Mirror 1970s but at Accelerated Speed
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Tandem Voice AI Architecture Enables Speaking While Thinking
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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/gyRFlqDSUjFor 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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Mistral Medium 3.5 positioning strategy among Asian LLM competitors
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Mistral Medium 3.5 is interesting less for the benchmarks and more for the positioning. Look at who they're comparing against: Kimi, Qwen, GLM, Claude (Sonnet). Not GPT, not Gemini. And i dont mean that in a negative way! With Aleph Alpha being acquired by Cohere last week,
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AI Must Transform Reasoning Into Mathematical Proofs
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AI should turn your sloppy reasoning into mathematical proofs, not the other way around.
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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 -
Agent Latency Optimization: Router and Manager Bottlenecks
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Agreed on both. Latency depends mostly on the agent blocks, not the connections themselves (those are basically free). With a decent local model the bottleneck is inference time per agent call, so the router and manager agents dominate. Most of the 29 edges are just data
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Error Handling and Retry Mechanisms in AI Agent Blocks
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Good question. Sim has retries and error paths built into each block, so you can set retry counts and route failures to a fallback branch. For the agent blocks, I also keep prompts strict on output format so downstream parsing doesn't break. Haven't needed heavy fallback
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Laffer Curve Economics and Tech Policy Discussion
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Someone tell this guy about the Laffer curve. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026Someone tell this guy about the Laffer curve.
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Removing SOC Blockers to Maximize Engineering Team Performance
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Christina and co on a legendary run. (Don't SOC-block your engineers)
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Agent Environment Architecture: Memory Routing Integration
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Thanks! That framing is exactly how I started seeing it too. Once memory, routing, and multi-channel sit in one place, the workflow stops feeling like a script and starts feeling like an environment the agents actually live in.