BREAKING: Claude has 7 built-in features that most users never configure. Each one takes under 5 minutes to set up and permanently changes how Claude works for you. Here's the full list:
TOOLS
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Agent reads tweets to generate AI news site
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I taught my agent to read tweets. It reads 40,000 a day and makes this news site: https://
alignednews.com/ai And, yes, I prompt it like I post here. With a few more instructions. 🙂 -
AI aggregator site with curated industry lists
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I have my AI read 40,000 posts a day from the AI community here on X and it builds this site with the biggest news: https://
alignednews.com/ai But if you want the firehose, I built the most complete lists of the AI industry (50,000 people, 8,700 companies) that exists here on X: -
AI as productivity multiplier beyond search
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Most people are still using AI like a smarter search box.
— Ronald van Loon (@Ronald_vanLoon) 22 mai 2026
I think that misses the point.
The biggest productivity leap is not better answers.
It is fewer handoffs.
When AI can summarize, draft, organize, and act across your apps, work starts to feel 5x faster.
That is the… pic.twitter.com/WwvPjIdhdkMost people are still using AI like a smarter search box. I think that misses the point. The biggest productivity leap is not better answers. It is fewer handoffs. When AI can summarize, draft, organize, and act across your apps, work starts to feel 5x faster. That is the
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AutoResearchClaw: AI Tool Automates Full Research Pipeline
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Karpathy automated experiments. AutoResearchClaw automated the whole lab. Most AI research tools handle one step. This one is a GitHub repo that handles all of them. AutoResearchClaw takes one idea as input. It outputs a full conference paper with real experiments, verified
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Kuaishou OneSearch-V2: Generative Search That Understands Intent
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What if your search engine could understand not just what you type, but what you really mean? Kuaishou Technology presents OneSearch-V2: a generative search framework that reasons like a human before returning results. It uses three clever tricks: (1) a “thought” step to deeply
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Trying to remember coding before Codex existed
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trying to remember what it was like to code before codex
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Remembering coding before Codex’s arrival
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trying to remember what it was like to code before codex
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Continuous learning will make tools obsolete
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Continual learning. The day models stop forgetting everything between sessions, half the tools people are building will become unnecessary.
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Disappearance of instant, thinking, pro and effort levels
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You had instant, thinking, pro, etc and then each had the ability to specify their effort levels (4 levels) All of that is gone lol