what happened to all the pre march data lol, 7b is a severe undercount my man
LLMS
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ReLaX: Unlocking Hidden Reasoning in Large AI Models
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How can we make large AI models truly explore new ideas when reasoning? Researchers from Hong Kong Polytechnic University & Shanghai Artificial Intelligence Laboratory present "ReLaX"! They've found a way to look beyond the AI's generated words, diving into its hidden "latent
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Meta’s AI Turnaround: New Hiring and Model Achievements
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in the grand narrative of Meta x AI, we saw the flop (Llama 4 hurhurhur), and now we’re seeing the turn: – *more* hiring since the soup wars of 2025
– Zuck literally moved in with Alexandr and Nat and is koding again
– finally GA’ed Opus-ish level model (no api, not open, but -
Top 6 Design Patterns for Agentic AI
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Top 6 Design Patterns for #AgenticAI
by @ingliguori #LLM #GenAI #ArtificialIntelligence #MachineLearning -
AI Models Running on Phones: Capabilities and Limitations
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You think it's that far away? It already runs on phones pretty well. Yeah, it won't compare with the big models.
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Critique of Neural Network Architectures and Optimization Methods
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A lot of papers coming out are still focused on GPT-4, but you could extrapolate their effects to GPT-5, etc. Much harder to know what the impacts of Claude Code/Codex etc. are because they are so new, and don't automatically follow the same pattern as chatbots.
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Claude AI Feature Cloning GitHub Repos for Code Generation
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A https://
claude.ai feature I really like is you can tell it to "clone x/y from GitHub" and it can then answer questions about a repo, or use snippets of code from that repo to help build new artifacts – used that just now to solve a minor friction -
Local AI Models Set to Improve on Mobile Devices
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Local models running on shitty computers (IE your phone) are about to get great. @ErickSky lays it out (translated from Spanish by Grok, which is a really awesome feature). https://t.co/hd4mM7U0I4
— Robert Scoble (@Scobleizer) 16 avril 2026Local models running on shitty computers (IE your phone) are about to get great. @ErickSky lays it out (translated from Spanish by Grok, which is a really awesome feature).
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MCP: The Missing Layer Between Industrial Protocols and LLM Agents
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MCP does not replace OPC UA, MQTT, or REST APIs. MCP aggregates and contextualizes data from these existing protocols, then exposes it for AI agent discovery. It is the missing layer between industrial protocols and LLM-based agents. Partner content with HighByte. #highbyte_iiot pic.twitter.com/GbXyMOzo0S
— Lucian Fogoros (@fogoros) 15 avril 2026MCP does not replace OPC UA, MQTT, or REST APIs. MCP aggregates and contextualizes data from these existing protocols, then exposes it for AI agent discovery. It is the missing layer between industrial protocols and LLM-based agents. Partner content with HighByte. #highbyte_iiot
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Audio Spaces: Effective Tool for AI Model Discussions
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I find that doing X audio spaces is a far better way to do that. 8,000 people have listened to the one I did last week with NousResearch's CTO about Hermes.