You're overpaying for inference. SWE-bench shows cheaper models solve the same easy problems as frontier ones. The issue isn't model quality. It's that most systems don't route at all. We broke down the 4 gaps breaking production AI systems: ai21.com/blog/mind-the-gap/?…
LLMS
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New Scaling Law Discovered for LFM2.5-350M Overtraining
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That new LFM2.5-350M is super overtrained, right? And everyone was shocked about how far they pushed it? As it turns out, we have a brand new scaling law for that! 🧵 [1/n]
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RSS Feed Added to LLM Architecture Gallery
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Added an RSS feed to the LLM Architecture Gallery so it is a bit easier to keep up with new additions over time: sebastianraschka.com/llm-arc…
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OpenClaw ACP Subagents with Codex and Claude Integration
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openclaw + acp subagents that run codex or claude is amazing!
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Language Is a Roof, Not Foundations for Thinking
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The vast majority of our thinking is not language based.
That doesn't mean language is useless for thinking. A roof is a useful thing to have over your head.
But a roof without foundations and walls to support it is considerably less useful. -
Anthropic Launches Cowork, No-Code Claude Desktop Agent
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Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required venturebeat.com/technology/a… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-06 12:44 UTC
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MLX-VLM v0.4.3 Launches with Day-Zero Gemma 4 Support
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10. MLX-VLM adds Gemma 4 support on day zero nitter.net/Prince_Canuma/status/2… Prince Canuma (@Prince_Canuma) mlx-vlm v0.4.3 is here 🚀 Day-0 support: 🔥 Gemma 4 (vision, audio, MoE) by @GoogleDeepMind 🦅 Falcon-OCR + Falcon Perception by @TIIuae 🪨 Granite Vision 4.0 by @IBMResearch New models: 🎯 SAM 3.1 with Object Multiplex by @facebook 🔍 RF-DETR detection & segmentation by @roboflow Infra: ⚡ TurboQuant (KV cache compression) 🖥️ CUDA support for vision models (Sam and RF-DETR) Get started today: > uv pip install -U mlx-vlm Leave us a star ⭐️ github.com/Blaizzy/mlx-vlm — https://nitter.net/Prince_Canuma/status/2039815307821199709#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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Gemma 4 Vision on Pixel 10 Pro
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9. Gemma 4 Vision running on Pixel 10 Pro
https://nitter.net/ai_for_success/status/20397654977477960651 [Translated from EN to English]→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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Gemma 4 26B runs at 7 tokens/second on MacBook Neo A17
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8. MacBook Neo (A17 Pro chip) running Gemma 4 26B https://t.co/Jbnp3SHNnc
— AI Highlight (@AIHighlight) 6 avril 20268. MacBook Neo (A17 Pro chip) running Gemma 4 26B nitter.net/anemll/status/20398098… Anemll (@anemll) Here is gemma-4-26B-A4B-it on A17 Pro chip w/8GB memory ( MacBook Neo) ~ 7 t/s running on AMX ( GPU is slower on A17) Gemma's 4 expert is x2.3 larger than Qwen See Qwen 35B below — https://nitter.net/anemll/status/2039809802025795841#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC