It's been a very frustrating and unproductive week for me. I tried to do several of my projects the "right" way (as opposed to just hacking them until they work), but I re-discovered how utterly fragile and unreliable most of the tech tools we have are once you try to use them
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Think-Anywhere: LLMs Reasoning at Any Token Position During Coding
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Happy to see Think-Anywhere hitting 🔥 Top-2 Hot Paper on alphaXiv and 🚀 Trending Paper on Hugging Face! LLMs think before coding, but humans don't just plan upfront. We pause and reason during implementation whenever things get tricky. Therefore, we propose Think-Anywhere: letting LLMs invoke reasoning at any token position during code generation, on demand. The model discovers on its own where thinking is needed. 📄 Paper: arxiv.org/abs/2603.29957 💻 Code: github.com/jiangxxxue/Think-… PS: We are currently seeking Research Assistants. Outstanding performers will be eligible for direct PhD admission or receive recommendations for both academic and industry positions. If you are interested, please send your CV to yihong.dong001@gmail.com. Let's work together to conduct impactful and meaningful research!
→ View original post on X — @askalphaxiv, 2026-04-03 21:12 UTC
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Bartowski Gemma-4 26B MoE GGUF Quantization Released
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BREAKING: New bartowski Gemma-4 26B-A4B-it MoE GGUF Just Dropped 🤯 Dropped the IQ4_NL GGUF of Google’s Gemma-4 26B-A4B-it MoE (~26B total / ~4B active)! Bartowski’s GGUF Setup: 👇🏻 🧠Revised & quantized with llama.cpp imatrix 🚀Quant: gemma-4-26B-A4B-it-IQ4_NL.gguf 14.70 GB 💻Full 256K context window Native (text + vision) MoE Performance Wins: 👇🏻 🏆 Efficient Mixture-of-Experts (8 active / 128 total) 🚨 Clean, accurate tool calls with no overthinking 🤯 Noticeably stronger agentic workflow MoEs (beats Qwen 3.5-35B-A3B in tool-use precision) 🤖 Built for local Hermes Agent / agentic meta Quants from IQ4-XS to Q4_K_M:👇🏻 🔥IQ4_NL (14.70 GB) — best accuracy/speed balance 🔥IQ4_XS (~14.2 GB) — lightest high-quality option 🔥Q4_K_S (~15.8 GB) Q4_K_M (~17 GB) Try It 👇🏻 huggingface.co/bartowski/goo…
→ View original post on X — @huggingface, 2026-04-03 20:36 UTC
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Opera Neon: First Major AI Browser with Native MCP Server
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Rad.
— Charly Wargnier (@DataChaz) 3 avril 2026
Copy-pasting context is officially dead.@Opera_Neon_ is the 1st major AI browser with an MCP server 💥
→ Quick connection to Claude Code, n8n, Lovable & more!
→ AI natively reads logged-in tabs & tests apps live
→ Secure MCP system lets external AIs control Neon 👇 https://t.co/UB0aqfiADARad. Copy-pasting context is officially dead. @Opera_Neon_ is the 1st major AI browser with an MCP server → Quick connection to Claude Code, n8n, Lovable & more!
→ AI natively reads logged-in tabs & tests apps live
→ Secure MCP system lets external AIs control Neon -
Keras Kinetic Fine-Tuning Tutorial for LLMs on JAX TPU Stack
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Good tutorial on using Keras Kinetic to fine-tune LLMs on the Keras + JAX + TPU stack! Kuan Hoong (@kuanhoong) Fine-Tuning Gemma 2B on PubMedQA: Building a Medical Q&A Assistant with LoRA, Keras Kinetic, and Cloud TPU kuanhoong.medium.com/fine-tu… #TPUSprint — https://nitter.net/kuanhoong/status/2039827630661517753#m
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Building AI Systems That Improve From Expert Feedback
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What does it take to build an AI system that actually improves with expert feedback? This guide shows how our engineering team built an American football defensive coordinator assistant that answers situational questions using governed play-by-play and roster data, and then gets
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Cursor 3 Doubles Composer 2 Usage This Weekend
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We're doubling Composer 2 usage through the end of this weekend.
— Cursor (@cursor_ai) 3 avril 2026
We recommend trying it out in our new interface, available in Cursor 3.
Enjoy! https://t.co/A2M2zAnNg3We're doubling Composer 2 usage through the end of this weekend. We recommend trying it out in our new interface, available in Cursor 3. Enjoy!
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Automated Commit Scanning During Project Onboarding Process
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yes! it does scan all the commits when you onboard your project and then each subsequent commit after that
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Claude Code Integration with LangSmith for Enhanced Tracing
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👾 Claude Code 🤝 LangSmith 🦜 We've shipped a new way to trace Claude Code runs to LangSmith! It's a plugin that traces subagents, tool calls, compaction runs, and more. You can run evals to test the impact of skills/MCPs, use LangSmith Insights to look for trends across your org, track token usage, and more! Docs: docs.langchain.com/langsmith… Repo: github.com/langchain-ai/lang…
→ View original post on X — @langchain, 2026-04-03 18:40 UTC
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Claude Creates Unsettling AI Self-Portrait Video Autonomously
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🚨 Someone asked Claude to make a video about its life as an AI, and it’s pure nightmare fuel! 😱
— Charly Wargnier (@DataChaz) 3 avril 2026
Claude wrote python code that generated and assembled every single frame on its own with no human editing.
The resulting footage is unsettling.
It depicts the isolating loop of an… pic.twitter.com/a1pFpN0wRySomeone asked Claude to make a video about its life as an AI, and it’s pure nightmare fuel! Claude wrote python code that generated and assembled every single frame on its own with no human editing. The resulting footage is unsettling. It depicts the isolating loop of an