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@meb

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@meb
How I would define an AI agent at the start of 2025: In abstract, a piece of software that can achieve a certain goal, and uses AI to navigate the fuzzy path of achieving that goal. More specifically, a combination of - Goal - Context management - Underlying model - Tools (datastores and functions with effects) - Prompting & self-prompting strategies (including delegating to other agents) Example: A geocoding agent Goal: Parse content from a sentence and geocode it Context Management: Trimmed sliding window. We only need the very most recent messages to get the job done. Underlying model: A simple model like 4o mini is more than enough Tools: A function to search cities with inbuilt query match ranking, and a function with access to a Google Maps geocoding API Prompting: Single turn. The agent should be able to get the job done in a single exchange, or ask the user to clarify the location if needed
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Le nouveau tube de l’été: Afuera (vidéo dans le lien) https://x.com/ericlarch/status/1932706422619296067?s=46&t=heYf7m0kaq62UF_MFK0e6g
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Ok banger
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Launching the official Blockchain Week calendar by Berchain, the Berlin Web3 Association Wondering what to do each day? Access all events and signup links from one mobile friendly place Also helps when frens bring you to an event and you need a last minute ticket https://feather-postbox-036.notion.site/1f659765cb1e803dacf8f5403aabad2e?v=1f659765cb1e80198822000c504e73e4&source=copy_link
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Stuck in meetings. Where's everyone heading tomorrow?
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To whom it may concern, I am back in Berlin in time for Blockchain week
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Based Netflix. They have one of the most top tier engineering teams out there
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Agreed. Thinking we need to pass all the full files content to AI agents is a recurring midwit take I’ve seen. Any real system is a collection of interfaces that work with each other, whilst encapsulating their messy implementation code. You only really need - an overview of system components and their relations - access to a db schema - file content related to task at hand as well as existing file examples to facilitate 0 shot success of the agent
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Upside of choosing software: no such thing as a rollback during a failed surgery
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I once got a bank statement where the watermark of the software issuing it was something like 2007. Fun time, and that’s just the application layer
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Stripe is killing it moving into crypto. Will be interesting as well how it evolves
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I recently realised I have never been to a Berlin rave. Only web3 parties with techno music, which honestly works well for me
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Get a lime pass. Berlin is a great city for getting around in escooters
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80% discount on a model like o3 doesn’t make sense to me. I immediately had the same idea, that they’ve uber nerfed it. Could make sense since they also announced o3 pro, and are reallocating compute to that. Maybe some marketing driven lobotomy to make o3 pro shine even more on the evals
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Funky token APIs, only way to ride the net worth rollercoaster faster than Solana meme coins
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I would still buy an iPhone for the next 100 years excluding major build or software quality downshifts. Great product, don’t need additional innovations. In fact if they could stop innovating that would be great!(looking at you glass design)
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Curious what your workflow was liked and what you’re building? I’ve personally found a really good flow with cursor agent
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Same as web2. Consumers really don’t care you’re running AWS or GCP. Are you serving up quality memes with good loading times? That’s what users care about
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Back in town from Thursday
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Curious about your opinion on how generalisable the MCP client layer is? Feels like Agent to Agent is the right abstraction layer, with each agent having its own MCP subgraph
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