this guy casually dropped the ultimate cheat code for Claude agents like it's no big deal
AGENTS
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AI Agents Improve Through Use: Taskade’s Latest Genesis Upgrade
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"Your agents get smarter the more you use them."
— Robert Scoble (@Scobleizer) 14 avril 2026
This is true of a raft of new services, and is how I built my AI and it keeps improving by having conversations with me.
Long ago I saw @Taskade and it's great to see the improvements it just announced. https://t.co/9jktFUQjD2"Your agents get smarter the more you use them." This is true of a raft of new services, and is how I built my AI and it keeps improving by having conversations with me. Long ago I saw @Taskade and it's great to see the improvements it just announced. Taskade (@Taskade) @Taskade Genesis just got its biggest upgrade. ✨ Agent Memory. 100+ integrations. Automations that run while you sleep. One prompt → CRM, client portal, Stripe store. Connected. Deployed. Running. 150,000+ apps live. Welcome to the era of living software. 🚀 — https://nitter.net/Taskade/status/2043968048588284197#m
→ View original post on X — @scobleizer, 2026-04-14 09:16 UTC
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Engineer Skills Transfer Path to AI Agents Market
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For engineers concerned about the future this is the clearest adjacent path. The skills transfer directly and the demand is already outpacing supply at companies taking agents seriously.
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Claude Automating GitHub Workflows Through Polling Loop Scaffolding
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Claude reading issues, creating branches, and pushing PRs on a polling loop is already being done by teams who figured out the workflow. It's not magic, it's just good scaffolding.
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Google Chrome structural advantage for AI browser agents
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Google owning Chrome giving the browser agent native depth that other IDEs have to work around is a genuine structural advantage nobody else has.
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Agent Memory Management: Filtering, Sharing, and Temporal Consistency
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Great questions. – No, not everything should be stored. The agent needs to filter what's actually useful vs what's not. – Yes agents can ahev shared memory, and most memory infra support multi tenancy. – For contradictions, timestamped facts let newer info override older
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AI Curation Era: X’s Shift Away from Human Curators
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A couple of days ago @nikitabier announced that they would be penalized from here on, at least in payments. I got the message. Which is one reason why I have my AI reading all of the AI community here on X and telling you what's important. It gives you a dramatically different view of the AI world here on X than you can get from X: alignednews.com/ai Having your own AI reading the communities you care about gives you a lot better view of what's actually being discussed that doesn't often make it to your feed. No longer are we seeing what's popular, but what AI has picked for us to see. In many ways that's an improvement but I miss the old world too. Curators who read thousands of posts every day and reshare the best are being "turned down." It is unclear whether AI generated custom feeds can ever get any distribution to make them profitable. Running custom AI's costs money. Mine costs $100 or more per day in tokens and $300 a day in API calls (the site is wholly generated via the X API since terms of service here forbids scraping the data). It's an end of an era where humans really have much to do with what other humans see. Now we are in a completely AI run world. I am seeing a few understanding this and building an @OpenClaw or a Hermes system to build new personalized news services for their owners. That will be a must for those of us who really want to see the news in an unbiased way (every AI is biased, including mine, since I taught it over two months of talking to it about what I wanted it to present to me and you). I need to turn this into a business that at least covers the costs that @blevlabs and I are running up, or else it will have to be shut down, which would be a shame, since I know it brings a few people value. Working on that the rest of the week.
→ View original post on X — @scobleizer, 2026-04-14 08:19 UTC
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Retrieval vs Behavioral Learning: The Real Gap in AI Agents
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Really well articulated. The distinction between "finds the right fact when asked" vs "already changed behavior from experience" is the real gap. Retrieval is table stakes. Consolidation turning episodic traces into behavioral defaults is where agents actually start learning.
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Agent Development Tools Bridge Semantic Web Infrastructure Gap
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Fair point on the Semantic Web angle. The loose coupling idea is solid. The practical challenge is that most teams building agents today aren't working in that paradigm yet, so tools like Cognee bridge the gap with familiar abstractions until the infrastructure catches up.
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Session Management Performance Optimization in AI Chat Systems
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Solid point! That's a real thing people will hit when using Cognee in a live chat. Using session_id to defer the heavy graph updates to the background keeps responses fast while memory stays in sync behind the scenes.