Emergent reward maximisation from interaction. Maybe one day we won't need to engineer rewards anymore. https://
love4all.ai/blog/emergent-
reward-maximization/
… https://
github.com/nandodef/love4
all-ai/tree/main/docs/files
…
INNOVATION
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Emergent reward maximisation may end need for engineered rewards
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Supertonic 3: Open-Source TTS Model Runs Entirely On-Device
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A 66M parameter model just beat ElevenLabs on a Raspberry Pi.
— AlphaSignal AI (@AlphaSignalAI) 22 mai 2026
Text-to-speech has lived in the cloud for years.
Every spoken character cost an API call and a fraction of a cent.
Supertonic 3 is an open-source TTS model that runs entirely on the device.
No network, no key,… pic.twitter.com/uo0grRixeTA 66M parameter model just beat ElevenLabs on a Raspberry Pi. Text-to-speech has lived in the cloud for years. Every spoken character cost an API call and a fraction of a cent. Supertonic 3 is an open-source TTS model that runs entirely on the device. No network, no key,
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Top AI Stories: I/O 2026, Codex, Agents, Regulation
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Top stories in AI today: – Exclusive insights from Sundar Pichai at I/O 2026
– OpenAI’s latest wave of Codex upgrades
– Generate an agent-native CLI from any website
– California moves to protect workers impacted by AI
– 4 new AI tools, community workflows, and more -
AI as productivity multiplier beyond search
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Most people are still using AI like a smarter search box.
— Ronald van Loon (@Ronald_vanLoon) 22 mai 2026
I think that misses the point.
The biggest productivity leap is not better answers.
It is fewer handoffs.
When AI can summarize, draft, organize, and act across your apps, work starts to feel 5x faster.
That is the… pic.twitter.com/WwvPjIdhdkMost people are still using AI like a smarter search box. I think that misses the point. The biggest productivity leap is not better answers. It is fewer handoffs. When AI can summarize, draft, organize, and act across your apps, work starts to feel 5x faster. That is the
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AutoResearchClaw: AI Tool Automates Full Research Pipeline
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Karpathy automated experiments. AutoResearchClaw automated the whole lab. Most AI research tools handle one step. This one is a GitHub repo that handles all of them. AutoResearchClaw takes one idea as input. It outputs a full conference paper with real experiments, verified
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Spec-Driven Development in AI Coding Architecture
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Spec-driven development became the default AI coding architecture 67-source academic review all agreed 5 repos defining it + 1 saying they're all wrong: spec-kit · BMAD · Open-spec · GSD · superpowers and Pocock's skills How to choose? or should adapt a feature from each one?
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Kuaishou OneSearch-V2: Generative Search That Understands Intent
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What if your search engine could understand not just what you type, but what you really mean? Kuaishou Technology presents OneSearch-V2: a generative search framework that reasons like a human before returning results. It uses three clever tricks: (1) a “thought” step to deeply
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Continuous learning will make tools obsolete
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Continual learning. The day models stop forgetting everything between sessions, half the tools people are building will become unnecessary.
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IndiaAI Expands AI Education Access with FutureSkills Initiative
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You shouldn't need to be in a metro to learn AI. IndiaAI's FutureSkills pillar is making sure of that. 570 labs being set up in ITIs and Polytechnics across India's smaller cities. 8 million+ already enrolled in free AI courses. 505 students getting fellowship support for