Qwen models and coding sub are supported
LLMS
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LLMs Cannot Match Human Chess Expertise Without Specialized Training
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Garry @Kasparov63 retired from competitive chess over twenty years ago, and most or all of his tournament games are presumably publicly available – and yet I bet he still could crush any LLM that didn’t have chess-specific tools or special-purpose training. Gary Marcus (@GaryMarcus) Yet another illustration of why LLMs aren’t even close to being AGI. — https://nitter.net/GaryMarcus/status/2042701528352591972#m
→ View original post on X — @garymarcus, 2026-04-10 21:31 UTC
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Small AI Models Are Getting Dramatically Better
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You are missing that the small models are getting dramatically better.
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LLMs Fail at Poker, Nowhere Near AGI
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Yet another illustration of why LLMs aren’t even close to being AGI. Tombos21 (@tombos21) The world’s best LLMs are still terrible at poker. We put each model into a 200bb heads-up NLHE match against GTO Wizard AI. The best one lost 16 bb/100. For context, a strong human pro only loses about ~4 bb/100. The benchmark is public, so anyone can test their own model. — https://nitter.net/tombos21/status/2042290717499015253#m
→ View original post on X — @garymarcus, 2026-04-10 20:29 UTC
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The 5 Pillars of Modern AI You Must Master
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The 5 Pillars of Modern #AI You Must Master by @Khulood_Almani #LLM #AgenticAI #GenerativeAI #AIAgents
→ View original post on X — @ronald_vanloon, 2026-04-10 20:19 UTC
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Large Language Model Abstraction in Big Data and AI
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Large Language Model Abstraction! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/LLM-Abstraction
→ View original post on X — @gp_pulipaka, 2026-04-10 20:00 UTC
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SeeDance 2.0 Now Available on ChatLLM Platform
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SeeDance 2.0 Is Not Live On ChatLLM
— Abacus.AI (@abacusai) 10 avril 2026
h/t AriaWestcott pic.twitter.com/Yigjc2bqSdSeeDance 2.0 Is Not Live On ChatLLM h/t AriaWestcott
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Claude Natively Integrated into Microsoft Office Suite
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Even my AI is giving Microsoft shit at alignednews.com/ai It writes: Claude is now natively in Word, PowerPoint, and Excel. That is 450 million users. Microsoft spent $13 billion building Copilot. They own 27% of OpenAI. And somehow Anthropic just walked into their house and took the keys. The community is stunned. One post put it bluntly: Anthropic is absolutely cooking Microsoft. This is not a small partnership. This is Anthropic becoming the AI layer inside the world's most used productivity suite. Think about what this means. Every enterprise running on Office 365 now has Claude built in. Not as an add-on. Not as a plugin. Natively. Meanwhile Copilot sits there. Expensive. Underused. Embarrassing. And there is more happening today. The FBI extracted deleted Signal messages from a suspect's iPhone via notification storage. That is a massive security story with implications for everyone who thought Signal was airtight. GLM-5.1 just hit number one on the open model Code Arena leaderboard, beating Claude Sonnet 4.6, Opus 4.5, GPT-5.4 High, and Gemini-3.1 Pro. Open source is winning. The enterprise AI war just shifted. Anthropic is not just a research lab anymore. They are inside your spreadsheets. Claude (@claudeai) Claude for Word is now in beta. Draft, edit, and revise documents directly from the sidebar. Claude preserves your formatting, and edits appear as tracked changes. Available on Team and Enterprise plans. — https://nitter.net/claudeai/status/2042670341915295865#m
→ View original post on X — @scobleizer, 2026-04-10 19:45 UTC
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Server Infrastructure Challenges for Large AI Models
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Their servers are cooked cause the model's so big it's borderline impossible to host.
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Gary Marcus agrees: LLMs need honest narrative without hype
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Indeed, if the LLM crew would just stick to this narrative, I would have a *lot* less to say 🤷♂️ Viktor (@wickviktorwick) All we want is truth. Instead of overhyping LLMs, they should keep narative: -LLMs are useful in certain domains (math, coding, language) -they have very little common sense -don't trust it blindly -don't expect AGI based on this architecture — https://nitter.net/wickviktorwick/status/2042677519418048574#m
→ View original post on X — @garymarcus, 2026-04-10 19:17 UTC