A model's fitness is the fraction of the world's GPUs it occupies.
MACHINE LEARNING
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Training AI System for Headline Selection
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Yeah, remember AI always starts worse than a child and keeps improving until it beats the best human. Mine isn't quite there yet. I have to prod it quite a bit. Still teaching it to pick out good headlines. But it is improving.
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CPU Role in Agentic Systems: Inference Orchestration
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In agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls.
— SambaNova (@SambaNovaAI) 29 mai 2026
Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator. pic.twitter.com/rwYYigDC2EIn agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls. Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator.
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Cohere Command A+ Sets Machine Translation Benchmark
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Command A+ sets a new high for Cohere's machine translation capabilities. Opening a clear gap over open source peers Mistral Medium 3.5, DeepSeek, & OpenAI's gpt-oss, as well as Claude Opus 4.6. A+ also outperforms specialist systems like Google Translate. RWS is better… but
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Qwen-VLA: Unified Vision-Language-Action Robot Learning
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“Qwen-VLA: Unifying VLA Modeling across Tasks, Environments, and Robot Embodiments” They turned robot learning into one vision-language-action modeling problem instead of separate policies for each task, environment, and robot body. So by adding a DiT flow-matching action
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Gemini Embedding 2: Native Multimodal Embedding Model
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"Gemini Embedding 2" This paper turns Gemini into one native embedding model for text, image, video, audio, and interleaved multimodal inputs. Instead of converting everything into text first, it embeds raw modalities directly into one shared space, improving audio search,
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MiniMax M2.7 model and API documentation
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… and for your reference, here is the official @MiniMax_AI documentation: – MiniMax M2.7 official page: https://
minimax.io/models/text/m27
– MiniMax API docs: https://
platform.minimax.io/docs/api-refer
ence/api-overview
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Mouse-Inspired Robot Uses Brain-Like Navigation to Learn
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Mouse-Inspired #Robot Uses Brain-Like Navigation to Learn and Recognize Places
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
by @lukas_m_ziegler#AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/7ohHvdvTcVMouse-Inspired #Robot Uses Brain-Like Navigation to Learn and Recognize Places
by @lukas_m_ziegler #AI #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Multi-Model Person-of-Interest Detection on Voyager SDK
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Multi-model person-of-interest ID + weapon detection, built on the Voyager SDK. The "weapon" was a lightsaber (Count Dooku's hilt). The specs were real though! 3x 4-chip Metis cards, 48 AIPU cores → 2.5 PetaOPS, 1,440+ model inferences/sec across multiple 8K streams at