Yes but it also can’t be shut down or changed by some corporation and if it works for you the tokens generated are free.
OPEN SOURCE
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Edge Computing and Local LLMs: The Future of AI Privacy
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Been playing with Gemma running locally on my Pixel phone and it feels magical. To think that years ago we could not remotely imagine such a powerful LLM running in your pocket with no connectivity whatsoever. I wonder how many scenarios for LLMs will start shifting the cost to the edge to get "free" computing with added privacy and control over your data. I can't imagine how companies that only monetize inferencing and nothing else will stay above the water. Either they make/sell hardware or they must add value on top of it, otherwise they become mostly an inconvenience in the middle.
→ View original post on X — @clementdelangue, 2026-04-05 18:31 UTC
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Alchemy: Standardized AI Research Environment from Tsinghua University
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What's holding back the true scale of automated AI research? Tsinghua University's AI team, led by Asst. Prof. Jia Li, with key contributions from Lehui Li and Liyi Cai, introduces Alchemy, a standardized research environment. It's a 'pre-built AI furnace' that unifies all complex engineering tasks—from data processing to resource scheduling. AI scientists simply provide their algorithm (.py) and hyperparameters (.yaml) to run full experiments. This frees AI scientists from engineering burdens, drastically boosting the scale and efficiency of automated AI research across domains like recommender systems, time series, and graph learning, enabling high-concurrency experiments and continuous integration for new tasks. Code: github.com/TsinghuaISE/Alche… Our report: mp.weixin.qq.com/s/FyhCjhZ4l… 📬 #PapersAccepted by Jiqizhixin
→ View original post on X — @jiqizhixin, 2026-04-05 18:08 UTC
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OpenCode Implementation: System Prompt Filter vs API Key Usage
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Do you know if the OpenCode thing was implemented as a system prompt filter? I assumed it related to API key usage instead
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Hidden Costs of Building and Maintaining Open Source Tools
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You’re not factoring in the cost of your time building and maintaining the openclaw.
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Local Gemma 4 is Cool
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Local Gemma 4 is so cool
→ View original post on X — @clementdelangue, 2026-04-05 17:03 UTC
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Open Source AI Energy Weekend: Moving Workflows to Local Models
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It’s a great weekend for open source AI energy in the U.S. Been personally spending it moving some workflows to open models on my old MacBook Pros and desktop PCs.
→ View original post on X — @clementdelangue, 2026-04-05 16:47 UTC
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Qwen3-Coder-Next-REAP Models Released with Compression Options
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As promised, Qwen3-Coder-Next-REAP are out! This will fit with full context in 48-62GB of VRAM the results are very solid. I need some MLX and GGUF bros to finish the job and get some compressssions out. – 20% huggingface.co/0xSero/qwen3-… – 30% huggingface.co/0xSero/qwen3-…
→ View original post on X — @clementdelangue, 2026-04-05 16:17 UTC
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Fine-tuning Gemma on TPU v5 with Kinetic, Keras and JAX
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Tutorial on fine tuning Gemma on TPU v5 using Kinetic + Keras + JAX. Easiest stack to fully leverage TPUs at scale. Jigyasa Grover ✨ (@jigyasa_grover) Here is a quick start script including the setup, technical details, and a candid look at where Kinetic excels versus its current limitations 🪡 github.com/jigyasa-grover/ki… — https://nitter.net/jigyasa_grover/status/2038707745520812099#m
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Gemma-4-21B-REAP Released with Improved Reasoning Performance
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As promised! Gemma-4-21B-REAP is out! Results are great it held up really well and actually gained accuracy on reasoning tasks. MLX & GGUF bros do you thing! This should fit on as little as 12GB of vram with some context, or 16GB with full context huggingface.co/0xSero/gemma-…
→ View original post on X — @deeplearn007, 2026-04-05 16:02 UTC