AI Agents is a waste of time. AI Agents = LLM + Data + Tools + Web Codex / Claude Code = the same thing (CLI Agents = good at reading files and coding). Just use that. Best agent = markdown file and scripts running through the file structure. That’s it.
SOFTWARE
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Knowledge Base System with Interactive Tools for Podcast Research
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Same, I have a similar setup. A mix of Obsidian, Cursor (for md), and vibe-coded web terminals as front-end. Since I do a podcast, the number/diversity of research interests is very large. But the knowledge-base approach has been working great. For answers, I often have it generate dynamic html (with js) that allows me to sort/filter data and to tinker with visualizations interactively. Another useful thing is I have the system generate a temporary focused mini-knowledge-base for a particular topic that I then load into an LLM for voice-mode interaction on a long 7-10 mile run. So it becomes an interactive podcast while I run, where I ask it questions and listen to the answers to learn more. Anyway, heading out for a run now, thanks for the write-up 👊
→ View original post on X — @lexfridman, 2026-04-02 23:06 UTC
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Replit Agent Now Performs SEO Audits to Boost Site Performance
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Replit Agent can now perform SEO audits on your site, helping boost traffic, ranking, and performance. https://t.co/wcsGf3kkYn
— Replit ⠕ (@Replit) 2 avril 2026Replit Agent can now perform SEO audits on your site, helping boost traffic, ranking, and performance.
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Qwen3.6 Plus Vision-Language Model Now Available on Poe
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Qwen3.6 Plus is now live on Poe. Delivers advanced vision‑language performance from Qwen, with clear gains in code‑heavy workflows like agentic and front‑end coding, plus stronger multimodal understanding including improved OCR and precise object localization. Designed for
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Local AI Models Running on Laptop Hardware
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More evidence of move to local models.
— Robert Scoble (@Scobleizer) 2 avril 2026
This one running on the claw. On a laptop. https://t.co/oEGqhlQ9JQMore evidence of move to local models. This one running on the claw. On a laptop.
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Atomic Bot enables local OpenClaw AI
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Atomic Bot now makes it easier to run OpenClaw fully locally on your machine, using API keys or tokens, with no cloud in the loop.
— 🚨 AI News | TestingCatalog (@testingcatalog) 2 avril 2026
Pick a local model, and your personal AI assistant runs entirely on your own hardware.
Available now on macOS and Windows 👀 https://t.co/uzKuaOBhsO pic.twitter.com/RuVKLfrKtOAtomic Bot now makes it easier to run OpenClaw fully locally on your machine, using API keys or tokens, with no cloud in the loop. Pick a local model, and your personal AI assistant runs entirely on your own hardware. Available now on macOS and Windows
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Cascading 503 Retry Logic for API Request Priority Management
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they are charged at whatever you set in the request (unless your priority is downgraded). my suggestion is that you would setup your 503 retry logic in a cascading fashion, if a request fails with flex, switch to default, if it fails with default and it’s high priority, switch
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SambaNova Deploys AI in 90 Days Without Required Skills
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Deploy AI in 90 days 🚀 SambaNova's turnkey AI solution gets you up and running fast, monetizes your infrastructure, and requires zero AI skills. Learn more: sambanova.ai/products/sambam… [Translated from EN to English]
→ View original post on X — @sambanovaai, 2026-04-02 22:00 UTC
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Gemma 4 MLX Support: 125 Quantized Models Released for Mac Developers
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This guy is BEYOND CRACKED. Gemma 4 already on MLX, bro has uploaded all models with quantization. 125 models uploaded in last few hours 🤯 New mlx-vlm repo also supports turbo-quant, and rf-detr too (among other things) If you are a mac dev, you better be jumping at this. Bookmark him, turn his notifications on, sponsor his work. 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 — @huggingface, 2026-04-02 21:44 UTC