Hypernetworks in the age of LLMs
AI
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Anthropic secretly rolls out multilingual voice update
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Curiously, Anthropic has started rolling out a multilingual voice mode update this week without announcing it. As we know, an upgrade to the underlying model is expected, and we may be witnessing a new battle among AI giants.
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Reflection on model distillation and the performance of GLM 5.2
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Not sure, honestly. If that's the case, it wouldn't surprise me, it's quite common. Claude distills from the internet & potentially others, others distill from Claude,… it's just the natural development cycle. GLM 5.2 is >10 points better
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Model faster than Opus 4.8 and GPT 5.5 with efficient thinking
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It's been much faster than Opus 4.8 and GPT 5.5 for me, in practice. Both of those models frequently spend a *lot* of time thinking about easy stuff, and sometimes not enough time for hard stuff.
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Humanoid hands driven by a single neural network
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#Dexterity is becoming one of the most exciting frontiers in robotics.
— Amitav Bhattacharjee (@bamitav) 19 juin 2026
Humanoid hands powered by a single #neuralnetwork could unlock entirely new applications!
pic.twitter.com/9KIeXmAeX2#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation…#Dexterity is becoming one of the most exciting frontiers in robotics. Humanoid hands powered by a single #neuralnetwork could unlock entirely new applications! https://x.com/Moonpreneur_hq/status/2067751730809389227/video/1 … #humanoidtech #humanoid #robot #Robotics #AI
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800x cost difference per task between AI models
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The cost per task varies by a factor of ~800x depending on the models tested: Claude Fable 5 dominates the benchmark but costs over $31 per task on average, compared to ~$0.04 for DeepSeek V4 Flash (max). The best options in terms of price/performance ratio are the models
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Key LLM era moment: Microsoft kept Bing/Sydney/GPT-4 after NYT article
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One of the key moments of the LLM era, ali g with GPT-3.5 and the decision by Microsoft to not take down Bing/Sydney/GPT-4 after the @kevinroose New York Times article.
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Installation of a local AI infrastructure with unlimited LLM on ASUS GX10
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Entre deux streams à VivaTech, je viens enfin, à 2 h du matin, de finir ma propre petite infra IA full local + API + un agent Hermes avec Nemoclaw sur ma GX10 d'@ASUS, accessible à distance quand je veux, pour avoir des LLM en illimité !! Trop heureux !!
— Defend Intelligence (Anis Ayari) (@DFintelligence) 19 juin 2026
J'ai Nemotron 120B… pic.twitter.com/zUtXD6i8L2Between two streams at VivaTech, I finally, at 2 AM, finished my own little full local AI infra + API + a Hermes agent with Nemoclaw on my GX10 from @ASUS, accessible remotely whenever I want, to have unlimited LLMs!! So happy!! I have Nemotron 120B
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Open Weights: Control Over Capability Even When Trailing
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Open weights matter even when they trail the frontier exactly because of this, you're buying control, not just capability. weights matter even when they trail the frontier exactly because of this, you're buying control, not just capability.
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Benchmark screenshots hide alt+tab to Claude Code
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haha the benchmark screenshots never show the alt+tab to Claude Code right after.