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gemini for research copilot for coding claude for deep searches and agentic code openai for quick searches cerebras for faster ai inferences tavily for search api firecrawl for web scraping langchain for ai app development langsmith for agentic ai observation fastAPI for backend server docker for containerising the app streamlit for frontend interface
→ View original post on X — @avikumart_, 2026-03-31 17:40 UTC
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TL;DR – we're about to have open source Claude Code in Rust
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Agentic inference isn’t a “future trend” anymore — it’s the default. The real question: how do you serve fast, premium tokens without building a multi‑MW Frankenstack? Our take: GPUs for prefill, RDUs for decode. Hybrid > GPU‑only. 🔗 sambanova.ai/blog/agentic-in…
→ View original post on X — @sambanovaai, 2026-03-31 17:30 UTC
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Very proud of our tiny powerhouse. Amazing performance in data extraction and tool use at such a small scale. Enjoy! 🚀 Liquid AI (@liquidai) Today, we release LFM2.5-350M. Agentic loops at 350M parameters. A 350M model trained for reliable data extraction and tool use, where models at this scale typically struggle. <500MB when quantized, built for environments where compute, memory, and latency are constrained. 🧵 — https://nitter.net/liquidai/status/2039029358224871605#m
→ View original post on X — @maximelabonne, 2026-03-31 17:29 UTC
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WE EXPLORE CLAUDE CODE SOURCE CODE https://
x.com/i/broadcasts/1
pJkOyModyXJj
…
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The # of DMCAs Anthropic is about to send is going to be crazzzy I personally will spin up 3 Hermes agents to rewrite it in Rust, Zig, and C
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Compute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute.
— Peter Gostev (@petergostev) 31 mars 2026
The interactive version of this site linked in the next post https://t.co/bqc9i1jTw1 pic.twitter.com/gktJT9cTQZ
Compute wars – the current state, very clear how much Anthropic benefited from the recent influx of compute. The interactive version of this site linked in the next post
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Haha that is also a fair point. The model is really good. But I am not sure if it is that much better than say GLM-5 or GPT 5.4 etc. The reason why Claude Code seems so good and popular is the coding harness?
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With /fast you don't need so many terminals anymore. This was from a time where codex was half as fast as it is these days.
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack
→ Less vendor lock-in
→ Better fit for regulated industries
→ More value from your own enterprise data and IP General