swarming the virtual machine

NYC
Joined July 2019
the markets demand to be freed these guys could be using agents to automate and bid on orders to optimize the sell side this could actually help drivers compete with uber on pricing and decreases uber's ability to set the price
WATCH: Migrant Uber Eats delivery workers in France are using multiple phones to reject low-paying orders, forcing the app’s algorithm to raise delivery offers to €15 or more.
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crypto really bottomed when the shills called themselves "key opinion leaders"
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the machines will pay for my groceries
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i remember spending dozens of hours in freshman year college aligning my personal website's animations to the song i had playing in the background oh how times have changed
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there is no reason why you should be running stock software on your tv at this point
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we live in the golden age of tinkering, exploring, and learning every day i wake up grateful for the time we live in
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computers cost a fortune because we're launching them into space
if we launch enough of these (for <$100 each) we'll literary have our own grid. and then can text all the homies via balloon
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vlad retweeted
the talent shortage going on rn is basically infinite. anyone can point an agent a game and RE it, 10x perf of a lib/language/compiler, find some vulnerabilities, etc. the talent is in the people that have the foresight, to skate to where the puck is going, not where it is.
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so you're telling me a raspberry pi is 250$ nowadays??
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*taps the sign*
JUST IN: Cybersecurity experts warn that AI agents are highly vulnerable to phishing emails containing hidden malicious instructions.
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game of cat and mouse but the mice are actually rats and there's a billion of them
notice.. > Delta is blocking AI agents from booking flights > JPMorgan Chase and Charles Schwab block agents from accessing accounts > Yelp requires paid data licensing for agents > Amazon has blocked Grok bot and other shopping agents. the internet is starting to block AI agents that were supposed to do everything for us
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the use case for mpp becomes abundantly clear when i'm on hour 2 of trying to get an agent to buy me a doordash pizza
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I started writing smart contracts in 2018, and one thing always bothered me: why did running my own RPC mean running a full node, or an archive node if I wanted historical state? My app only cared about my contracts, a few dependencies and some ERC20s. Why did I need to keep up with everything everyone else was doing on Ethereum just to serve those reads? The annoying part was keeping that smaller set of state up to date. Reading a value at one block was doable, but knowing what changed in the next block meant executing it or asking a node that had. A transaction could reach my contract through several other contracts, so just filtering transactions by their destination wasn’t enough. I mostly forgot about it. RPC providers got reliable enough for what I needed, and I had other things to build. I still didn’t love the setup, but it stopped being something I spent time thinking about. Then over the weekend, I was looking through Glamsterdam’s EIPs and realized block-level access lists might make this practical. BALs include the state changes made during a block, including the new values, and the block commits to that list. So once you have the initial state you care about, you can follow its changes without re-executing every transaction. So I started vibe coding it. It’s called skim. You tell it which accounts and storage slots you care about, or let it discover the state your simulations read. It fetches the initial values from Ethereum’s P2P network through SNAP, checks their Merkle proofs, and keeps them updated using BALs. Your eth_calls then run locally. If a call needs something it hasn’t fetched, it gets that from peers too, just with more latency. No upstream RPC provider for those reads. It can also keep historical versions of the state you’re tracking. That was another thing I wanted: being able to query my app’s past state without keeping everyone else’s history. It exposes a JSON-RPC interface, so existing tools can use it for the methods it supports. It still receives full payloads and BALs. The state it maintains is selective, not everything it downloads. There’s also a consensus light-client implementation now, but that path isn’t active on Sepolia yet because the required Gloas light-client data isn’t being served by the peers tested so far. For now, the head is still trusted. It’s still an experiment, and I’m working through correctness bugs and longer-running tests. I’m not presenting it as a production node replacement. But it’s pretty satisfying to finally build something around a complaint I’ve had since 2018. I wanted a small client that knows the parts of Ethereum my app actually uses, and that’s what I’m trying to make. github.com/leekt/skim
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putting all my chats into an eisenhower matrix in the next harness i build
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how do agents with email accounts prevent being prompt injected for context extraction? i would imagine that anyone who has unfiltered input to your agent - be it emails or agent-to-agent comms - is a threat to your information this actually happened on facebook a few months back - someone convinced the support agent to send out password reset requests to any account, basically giving out free access to any user
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i have similar concerns with agentic workspaces. this seems like a tradeoff between full agentic automation and safeguarding of data through explicit sandboxing
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you should always be assigning specialized QA and red-teaming agents on your codebase to verify correctness, security, and cleanliness (somewhat) without these you're really shooting yourself in the foot and your projects will quickly become slop
I'd say ~75% of my issues with AI coding disappeared once I gave my agent the ability to verify its own work
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beginning to see the pain of boredom and learning the same way i see the burn in the gym
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spoke to some NYC birdwatchers and they were saying that the owl alpha is gone and the owlwatching market is saturated
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