What Anthropic has shipped so far in 2026 is just insane: → Claude Cowork
→ Free plan upgrades with connectors + skills
→ Claude Opus 4.6
→ Claude Haiku 4.5
→ Claude Sonnet 4.6
→ Claude Code Security
→ Claude Code Review
→ Voice mode in Claude Code
→ Claude Code desktop
LLMS
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Anthropic’s 2026 Releases: Claude Models and Developer Tools
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Closing the Loop: Creating Value from Noisy AI Outputs
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imho it shows the value of "closing the loop" you can use random noise/slop – if you got gates that can understand value – you can ship something useful
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Claude Usage Bonus Now Available Across All Plans
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This bonus usage applies everywhere you work with Claude—including Claude Code—on the free, Pro, Max, and Team plans. https://
support.claude.com/en/articles/14
063676-claude-march-2026-usage-promotion
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Mainstream AI Solutions Fail at Multi-Person Conversation Tasks
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You've hit the nail on the head. We tested a round of mainstream solutions in [REDACTED], and the data directly confirms this judgment. Single-round simple retrieval: accuracy 90%+, no problem. Once it involves multi-person conversations, cross-group information integration, or
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Reflecting on the End of Qwen’s Era as a Top-Tier Tiger
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i am actually still not over how Qwen as we knew it, one of the S tier Tigers, is over.
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Red Lion IoT Platform Recognized by UK Developer for AI Analytics
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Red Lion, Recognized by UK-Based Developer of #IoT! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
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AI Achieves Milestone: Writing Coherent 1000-Line Programs
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we used to have an internal goal, which felt totally impossible, of an AI that could write a coherent 1000-line program. the tech has come a long way!
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EverMemBench: Testing Mainstream Memory Solutions for AI
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A couple of days ago, I posted about the EverMemBench paper, and the response was pretty good. Today, let's chat about the most interesting finding from the paper. We tested almost all the mainstream memory solutions on the market: Mem0, Zep, MemOS, MemoBase, plus long-context
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Use MoE Models for Unified Memory Hardware Like DGX Spark
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As I have mentioned before, stop trying to get Dense models running on the DGX Spark/Mac Studios Unified Memory is best fit for MoEs because you only make each token go through a small subset of the numbers of parameters in the model Optimize for your hardware x.com/LeTechLead/sta…
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Qwen 3.5 27B Dense vs 122B MoE Compared on DGX Spark
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This guy has written an article comparing > Qwen 3.5 27B Dense vs > Qwen 3.5 122B MoE on the DGX Spark