If I had to choose just one metric, I'd argue that the KV-cache hit rate is the single most important metric for a production-stage AI agent. – Manus AI prompt caching is important! read about how we do it with deep agents
INDUSTRY
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Dark June for US generative AI: policy, Chinese models, OpenAI IPO delay
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June has been a dark month for the US generative AI industry, between hamfisted US policy and the transition to cheaper Chinese AI models. And then there is the delay of the OpenAI IPO. Is that the consensus? Do people disagree?
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AI diffusion model discovers Big Mac and creates optimized burgers
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Finally, AI finds its ultimate uncontroversial use. A diffusion model trained on burger recipes "discovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition." ASI= automated slider intelligence
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Physical AI in factories and vehicles requires enhanced cybersecurity
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As AI moves from the digital world into the physical world, cybersecurity becomes even more important.
— Bernard Marr (@BernardMarr) 26 juin 2026
At Bosch ConnectedWorld 2026 in Berlin, one of the biggest themes was physical AI, where AI is embedded into factories, vehicles, robots and industrial systems. That creates… pic.twitter.com/3GFAZf8ZfmAs AI moves from the digital world into the physical world, cybersecurity becomes even more important. At Bosch ConnectedWorld 2026 in Berlin, one of the biggest themes was physical AI, where AI is embedded into factories, vehicles, robots and industrial systems. That creates
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AI on the Assembly Line: Instant Potato Counting with Minimal Training
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#AI on the Assembly Line: Instant Potato Counting with Minimal Training
by @IlirAliu_ #ArtificialIntelligence #MachineLearning #ML #MI -
Gary Marcus: AI scaling is capital misallocation, but early days
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“Gary Marcus … says that investments into scaling AI is the “greatest capital misallocation in history” which leaves everyone “on the hook”. However, he also says that it is still early days for the AI industry and further exploration into different model architectures and the
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US blocking model releases forces labs to keep models and integrate
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The logical (and unfortunate) consequence of the US government blocking model releases is that the labs would have to keep the best models to themselves and vertically integrate into intelligence heavy industries to generate revenue
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Nvidia’s biggest moat is not CUDA or GPUs
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It's actually way dumber than that. CUDA is not even the biggest Nvidia moat. And neither are the GPUs. Both of those could be completely commoditized tomorrow and it would hardly have any impact on Nvida's AI infra dominance.
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GLM 5.2 drives enterprises off cloud, checkmate for open-source AI
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Thanks to GLM 5.2, I know for a fact that enterprises are moving off the cloud, acquiring compute, and working on having post-trained models for their own use cases. It's checkmate for Opensource AI, they just don't know it yet.
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Latency and copyright issues leave car AI market open
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Latency is atrocious. ChatGPT nails the latency, but also refuses to read texts from the internet to me, citing copyright concerns, even when agreeing that the text is in the public domain. The market for car companion AI is still wide open.