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
TOOLS
-
Think-Anywhere: LLMs Reasoning at Any Token Position During Coding
By
–
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
-
Bartowski Gemma-4 26B MoE GGUF Quantization Released
By
–
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
-
Setting up AI tools for automated workflows
By
–
Need to set up my OpenClaw to update and restart my Claude Dispatch to add computer use so I can use that instead.
-
Opera Neon: First Major AI Browser with Native MCP Server
By
–
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 -
Google AI Launches Gemma 4, Veo 3.1 Lite, and New API Features
By
–
Here’s everything we launched this week (we promise not a single one of these is a joke): — Gemma 4, bringing our most intelligent open models and breakthrough reasoning to your personal hardware and devices while outcompeting models 20x its size — Veo 3.1 Lite, our latest video generation model, which delivers the same speed as Veo 3.1 Fast but at half the cost — Two new service tiers in the Gemini API in @GoogleAIStudio, bringing you granular control over cost and reliability through a single, unified interface — Focus mode in @GoogleAIStudio, the fastest way to make targeted edits to specific parts of your apps — New AI features launched to Google Vids from @GoogleWorkspace, including high-quality video generation from Veo 3.1, available to all users at no cost
-
Keras Kinetic Fine-Tuning Tutorial for LLMs on JAX TPU Stack
By
–
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
-
Gemma 4 AI/ML API Launch & Giveaway
By
–
AI/ML API now supports Gemma 4 🔥
— 🚨 AI News | TestingCatalog (@testingcatalog) 3 avril 2026
Gemma 4 is one of the strongest open models in terms of speed, cost, and quality, according to early tests. The launch includes an opportunity to win $100 in API tokens for 50 random winners! https://t.co/8YJ34ddx3v pic.twitter.com/wXHG5UtpLxAI/ML API now supports Gemma 4 Gemma 4 is one of the strongest open models in terms of speed, cost, and quality, according to early tests. The launch includes an opportunity to win $100 in API tokens for 50 random winners!
-
Building AI Systems That Improve From Expert Feedback
By
–
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
-
RPG Design Pattern: Progressive Feature Unlocking for Better UX
By
–
agents can do everything*, which causes a UX problem, your users have vastly different experiences, some better and some worse thinking like an RPG can help here when you start an RPG game, you start with one weapon, and you learn to fight with it. as you progress, you pick up and learn new weapons. and by the final boss, you can wield all the weapons to defeat him. very rewarding if you'd started the game with all the weapons, it would be too overwhelming, you wouldn't know which weapon to learn first, and you'd probably stop this isn't a new idea, but i've used a few tools recently that reminded me of this latter experience *not everything of course, but you get the point
→ View original post on X — @yoheinakajima, 2026-04-03 19:53 UTC