The way we will create a future where powerful AI is open-source and accessible to all is by making AI radically more efficient, both in terms of inference compute and (more importantly) in terms of training data requirements. That is what
INNOVATION
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Google unveils TimesFM, a zero-shot predictive AI
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GOOGLE HA LIBERADO EN SILENCIO UNA IA QUE PREDICE PATRONES
— Nico (@nicos_ai) 16 juin 2026
Ventas. Precios de mercado. Tráfico web.
Demanda energética. Volatilidad cripto.
Se llama TimesFM:
→ Entrenada con 100B de datos reales
→ Forecasting zero-shot, sin fine-tuning
→ Corre en local.
100% Gratis y Open… pic.twitter.com/shKaFPJuxhGOOGLE HAS QUIETLY RELEASED AN AI THAT PREDICTS PATTERNS Sales. Market prices. Web traffic.
Energy demand. Crypto volatility. It's called TimesFM: → Trained on 100B of real data
→ Zero-shot forecasting, no fine-tuning
→ Runs locally. 100%
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Small specialized models are the future; buying a GPU was right
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Small and specialized models are the future Buy a GPU was right
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Stellar performance of a 3B model through post-training refinements
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Stellar performance from a 3B model. These results were achieved primarily through post-training refinements on Qwen2.5-Coder. The paper doesn't provide many details, but it appears they distill from RL ckpts and then do a final RL-based instruct RL. https://
arxiv.org/abs/2606.16140 -
AI Inference: System-Level Time Problem in Post-Moore Era
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My takeaway: AI inference is no longer just a model problem. It's a system-level time problem. For enterprise leaders, AI performance and AI economics are becoming inseparable. Learn more about Tau Scaling and what it means for the post-Moore era: https://
chinaxiv.org/abs/202605.002
24?locale=en
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Huawei’s Tau Scaling Law reframes AI performance bottleneck
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 16 juin 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/YihGFx75cyMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner
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The Growing Alphabet of AI Chips Explained
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The Growing Alphabet of #AI Chips Explained
by @antgrasso #ArtificialIntelligence #Innovation #EmergingTech -
Cartesia Unveils Sonic 3.5 and Ink 2 for Real-Time Voice Stack
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Cartesia has launched Sonic 3.5 and Ink 2, two models designed to function as a single real-time voice stack, with transcription on one side and text-to-speech on the other. > Ink 2 ranks first in accuracy on the leaderboard
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AI in France: the real problem is complexity, not money
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Completely off-topic! France will not become an AI power by adding a few hundred million euros more of public money. The problem is not the lack of money. The problem is that we continue to make life difficult for those who create,
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Small specialized models will beat frontier intelligence
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Frontier intelligence will be beaten by small and specialized models