Grok 4.3 is now available on Poe. It’s a great daily driver, not just a model that wins random benchmarks, but one that holds up for real-life use. It’s also economical enough to use every day, with strong performance for the price. After sharing a lot of feedback with the @xai
LLMS
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Claude AI Autonomously Grows Tomatoes in 100-Day Experiment
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Anthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
— Ronald van Loon (@Ronald_vanLoon) 2 mai 2026
by @d33v33d0#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/GJ44Y0ItXNAnthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
by @d33v33d0 #ArtificialIntelligence #MachineLearning #ML -
XBridge Architecture Pairs LLMs With Translation Models for Better Results
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Why do even the smartest AI models stumble when speaking your language? Chinese Academy of Sciences presents XBridge — a clever new architecture that pairs a large language model with proven encoder-decoder translation models. Instead of forcing the LLM to handle every
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Grok 4.30 Leads Frontier Models in Intelligence Per Dollar
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small milestone: uninstalled the chatgpt app. codex is strict superset now! found something cool – among frontier models, @xai @grok 4.30 is the most intelligence per dollar you can get, beating even open models like MiMo, Kimi, and DeepSeek. numbers pulled from
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AI/Semi stock analysis workflow built with Xynth + Opus 4.7, claims Claude took over the stock market.
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🚨 CLAUDE JUST TOOK OVER THE STOCK MARKET
— AI Breakfast (@AiBreakfast) 2 mai 2026
I used Xynth + Opus 4.7 to build this workflow that analyzes AI/Semi stocks 24/7.
This thing is insane. https://t.co/UvoGXVLhoM pic.twitter.com/1jzNuEFE30CLAUDE JUST TOOK OVER THE STOCK MARKET I used Xynth + Opus 4.7 to build this workflow that analyzes AI/Semi stocks 24/7. This thing is insane.
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Humans Learn Faster Than AI Models Through Real-World Experience
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it's true that any model knows more than any individual human. but humans learn faster: we update after each interaction, models don't. humans who use models in their own lives and domains of expertise learn new, local, tacit expertise that the models can't know because it
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LLMs predict next token with goblins involved
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All LLMs do is predict the next token and also goblins are involved not sure how exactly but I’m sure about the first part
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Ways to Train a Large Language Model
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Ways to Train an #LLM
by @goyalshaliniuk #GenAI #ArtificialIntelligence #MachineLearning #ML -
Blog Post Analyzes Frontier Model Failure Modes in Detail
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Make sure to read the blog post for a detailed analysis of frontier model failure modes:
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ARC-AGI-3 Scores Stay Below 1% as Models Evolve
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The latest crop of models remains below 1% on ARC-AGI-3 — for now. Where will the scores be by the end of the year?