We are in the most comfortable "normal technology" phase of AI for enterprise: it enables productivity gains, but still needs integration into workflows – stuff we have seen before! Yet it is very possible that this is a waypoint, not a stable phase. AIs may integrate themselves
TECHNOLOGY
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Pokémon Trading Card Game AI Battle Challenge
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Pokémon trading card game ai battle challenge https://t.co/HZBFh7CaLA
— Yohei (@yoheinakajima) 16 juin 2026Pokémon trading card game ai battle challenge
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Operational Opacity: AI Understands Better Than Humans
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Has humanity lost the instructions for its own creation? In an op-ed published in the journal Science, Eric Horvitz and Robert West warn about entering the era of 'operational opacity': AI is beginning to understand us better than we understand it.
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Scalable Voice Agent Design with Amazon Nova Sonic and BedRock
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Scalable Voice Agent Design with Amazon Nova Sonic with Amazon BedRock: Multi-Agent, Tools, and Session Segmentation! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang
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Radically efficient AI for an open-source future
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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
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New benchmark MPMWorlds tests AI understanding of physics in videos
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AI can now watch a video and write the physics code behind it.
— AlphaSignal (@AlphaSignalAI) 16 juin 2026
Video models are often called world simulators.
A new paper tests whether they actually understand physics.
MPMWorlds is a benchmark of 95,000 rendered 2D simulations.
It covers liquids, snow, sand, and… pic.twitter.com/b95y3sdWIAAI can now watch a video and write the physics code behind it. models are often called world simulators. A new paper tests whether they actually understand physics. MPMWorlds is a benchmark of 95,000 rendered 2D simulations. It covers liquids, snow, sand, and
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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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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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User asks if ChatGPT interface is normal version
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Is this the "normal" version of ChatGPT? The interface looks different from mine.