Beyond the Vector Store: Building the Full Data Layer for AI Applications machinelearningmastery.com/b… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-02 20:42 UTC

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Beyond the Vector Store: Building the Full Data Layer for AI Applications machinelearningmastery.com/b… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-02 20:42 UTC
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Cursor is becoming Claude Code and Claude Code is becoming OpenClaw.
— Shubham Saboo (@Saboo_Shubham_) 2 avril 2026
All roads lead to OPENCLAW 🦞 https://t.co/GULhTu6Krx
Cursor is becoming Claude Code and Claude Code is becoming OpenClaw. All roads lead to OPENCLAW 🦞 Cursor (@cursor_ai) We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment. — https://nitter.net/cursor_ai/status/2039768512894505086#m
→ View original post on X — @saboo_shubham_, 2026-04-02 20:03 UTC
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This "careful" "AI Safety" company that just accidentally leaked its entire source code to the world is the one that African governments are entering into agreements with to include in infrastructures from health care to god knows what. theguardian.com/technology/2…
→ View original post on X — @timnitgebru, 2026-04-02 20:02 UTC
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this is Gemma 4 running locally on a 3 year old mac meaning:
— clem 🤗 (@ClementDelangue) 2 avril 2026
– free (=$0 no matter how much you use)
– safe (you're not leaking all your data via unsafe APIs)
– fast (as you can see) https://t.co/yX3gwJ3LF6
this is Gemma 4 running locally on a 3 year old mac meaning: – free (=$0 no matter how much you use) – safe (you're not leaking all your data via unsafe APIs) – fast (as you can see) Georgi Gerganov (@ggerganov) Let me demonstrate the true power of llama.cpp: – Running on Mac Studio M2 Ultra (3 years old) – Gemma 4 26B A4B Q8_0 (full quality) – Built-in WebUI (ships with llama.cpp) – MCP support out of the box (web-search, HF, github, etc.) – Prompt speculative decoding The result: 300t/s (realtime video) — https://nitter.net/ggerganov/status/2039752638384709661#m

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made a tool to compare star-to-LOC ratio on github cuz i thought i would do well, but @karpathy is 👑 any others i should try?
→ View original post on X — @yoheinakajima, 2026-04-02 19:40 UTC
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https://
github.com/huggingface/trl + https://
huggingface.co/blog/async-rl-
training-landscape
… https://
huggingface.co/blog/unsloth-j
obs
… You'll have to create an account on HF to share your experiments btw!

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.@GoogleGemma 4 31B is up to 2.7X faster on RTX using llama.cpp. Thanks to @ggerganov for working with us to make this model fast.
→ View original post on X — @huggingface, 2026-04-02 19:30 UTC
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That quote is from the Linux Kernel, not OpenClaw.

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No major benchmark is designed for COBOL, Fortran, or Assembly – the languages powering trillions in transactions and infrastructure that must be modernized or risk catastrophic failure. We built Legacy-Bench to measure frontier agents on the code the world actually runs on.
→ View original post on X — @nathanlands, 2026-04-02 19:18 UTC

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You can run Gemma 4 100% locally in your browser thanks to HF transformers.js. That means 100% private and 100% free! @xenovacom created a demo for it here: https://
huggingface.co/spaces/webml-c
ommunity/Gemma-4-WebGPU
…