The nerd building a system for me says Hermes runs better on a shitty Mac Mini.
SOFTWARE
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Developer frustration: hard work without recognition or better alternatives
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Just the usual. I work my ass off, made it better, people still complain, no PR in sight that has a better solution.
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Summarize 0.13 Released with Video Slides and GPT-5.4 Support
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📝Summarize 0.13 is out! 🎞️ Local video slides (–slides) 🤖 More model backends (GitHub Copilot) 🧠 Better GPT-5.4 support 📺 Better media handling (HLS detection.m3u8) It graduated from my tap to official homebrew formula! 🍺 brew install summarize github.com/steipete/summariz…
→ View original post on X — @scobleizer, 2026-04-08 00:08 UTC
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How to Use the Stock Analyzer Skill in AI Agent
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To use, just ask the Agent to use the stock analyzer skill, or click the + button from the input box after logging in and select the "stock analyzer skill"
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GLM-5.1 weights open-source, beats top AI models on SWE-Bench
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INCREDIBLE GLM-5.1 weights are now opensource > i’ve had early access to the weights for the past few days
> and yeah… this one matters a lot benchmarks? > SWE-Bench Pro: 58.4
> beats Opus 4.6 (57.3)
> beats GPT-5.4 (57.7)
> beats Gemini 3.1 Pro (54.2) let that sink in -
Users Discover Non-Chat AI Interface Beyond Original Learning Tool Purpose
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I'm blown away at what ppl are using this for!!
— Farza 🇵🇰🇺🇸 (@FarzaTV) 7 avril 2026
I built it as a learning tool.
But people seem to really love using it as an AI interface that isn't chat that can work in their program of choice. Examples of usage so far:
– A Mom building her first app on Lovable
– A dentist… https://t.co/G9bnjEsLS1I'm blown away at what ppl are using this for!! I built it as a learning tool. But people seem to really love using it as an AI interface that isn't chat that can work in their program of choice. Examples of usage so far: – A Mom building her first app on Lovable – A dentist debugging his OpenClaw setup – A photographer getting feedback in Lightroom – A person learning to animate SVGs in Framer – Founders keeping track of their todos. – Designers getting feedback in Figma – A student outlining her thesis in G-Docs – Traders analyzing live stock charts And A LOT of people using it to advise them on how to best reply to messages in Slack/Email. Super cool. The people yearn for a non-chat interface haha. Also, it's kinda crazy how as the founder you really don't know what the product is until you put it in the hands of users. The minute it's in the hands of others, it's theirs now! And that's really where you find out what it is. Farza 🇵🇰🇺🇸 (@FarzaTV) I built this thing called Clicky. It's an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you. I've been using it the past few days to learn Davinci Resolve, 10/10. — https://nitter.net/FarzaTV/status/2041314633978659092#m
→ View original post on X — @scobleizer, 2026-04-07 22:08 UTC
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Vibe Coding Explained for Beginners and App Builders
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Curious about vibe coding? Or are you already shipping apps and just want an easier way to explain your new favorite hobby to your friends, parents, grandparents, etc.?
— Google AI (@GoogleAI) 7 avril 2026
Either way, this video is for you ⏯️⤵️ pic.twitter.com/JWKqkFzOB0Curious about vibe coding? Or are you already shipping apps and just want an easier way to explain your new favorite hobby to your friends, parents, grandparents, etc.? Either way, this video is for you
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Karpathy’s Autonomous Obsidian Wiki System Replaces Traditional RAG
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🚨 @karpathy literally ditched traditional RAG for an autonomous Obsidian file system. Instead of writing code, he dumps raw AI research into a local folder and lets an LLM convert it into an interconnected markdown wiki. He rarely edits the text manually. By relying purely on dynamically updated index files, the system navigates the exact context it needs natively without relying on flawed vector embeddings. Because the LLM fully understands the file structure, it executes advanced autonomous workflows: → Operates a custom vibe-coded local search engine → Renders complex charts and formatted markdown slides → Continuously compounds a 400,000-word knowledge base The most fascinating mechanic is the self-healing loop. He triggers background health checks where the LLM natively spots structural gaps, scrapes the internet for missing data, and cleans the articles perfectly. This feels the absolute blueprint for managing complex technical data 🔥 btw, he also plans to fine-tune a local model directly on the wiki so the research is baked into the neural weights rather than relying on limited context windows 👀
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Salesforce Leverages Slackbot AI to Address SaaSpocalypse Challenge
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Salesforce is looking to Slackbot to help it solve the SaaSpocalypse puzzle https://t.co/XZRx45t2A1 pic.twitter.com/PaR2hQHGcY
— Craig Brown, PhD (@craigbrownphd) 7 avril 2026Salesforce is looking to Slackbot to help it solve the SaaSpocalypse puzzle go.theregister.com/feed/www.…