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Dallas, Texas, United States
Joined April 2026
We think AI inference should feel more like your internet connection. You don’t count every packet. You don’t calculate the cost before opening another tab. You just use it. That’s the experience we’re trying to build for AI agents at Standard Compute.
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"delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you." - Claude Code creator at Anthropic Boris Cherny ( @bcherny ) "For people who aren’t building agentic products but are using Claude Code, every 6 months, delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you. For Opus 5, we strongly recommend trying to delete all of these things because the model may no longer need the extensive instructions that were necessary for previous models." - at Y Combinator Startup School 2026. ---- From "Y Combinator" YouTube channel, (full video link in comment)
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life before knowing what a token limit was
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Sam Altman Right now
Sam Altman: "in the next 6 months, we're close to a world where a descendant of ChatGPT can watch your screen, record every meeting and call, and have perfect context of your whole life." he says we're only one model generation away from this being incredibly useful. think about what that actually means. an assistant that never needs you to re-explain anything. it already knows the project, the client, the last conversation, the thing you said three weeks ago. you just ask, and it picks up mid-thought. this is the shift from a chatbot you prompt to an assistant that already has the context. if you want to watch the full interview, it's below.
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Head of Claude Code: "85% of our engineers are running dozens or hundreds of agents. The way you do it is graph engineering." In 40 minutes he explains how a single engineer now does the work of a whole team, how far this has gone inside Anthropic and where it goes next. This is something you can't skip if you don't want to be left behind. Watch it, then read the full guide on graph engineering below.
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ChatGPT 6 Astra is the holy grail It is by far the greatest AI model ever made, and can seriously be considered AGI It one-shot the top down multiplayer extraction shooter for me. All graphics, sounds, gameplay done through Blender and Unity Here's the most impressive part: 1. It's faster than GPT 5.6 sol 2. It did this in less credits 3. It did it with significantly higher quality Cheaper per task, faster, significantly better. Basically no trade offs. The trifecta. The holy grail. It's picking up all my existing work and just destroying it. Crushing everything in its way. Finding novel insights, solutions no model has ever thought of. Here's how I'd use it if I were you: Include as much context, with as little direction as you can when prompting the model What I mean by that is, let the model decide how to take action. Let the model breathe. Let it be autonomous. Let is find novel solutions. Let's face it, the model is smarter than us. Us telling the model how to do work is stupid. It's like me telling Michael Jordan how to take shots. Ask more questions than directions you give. You should be asking the model 10x more questions than directions. Questions should be: • How do you approach this problem? • What are different solutions we can use? • What are things I'm not thinking about here? I call it reverse prompting. You should be relentlessly reverse prompting What an incredible time to be alive
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MIT mathematically proved that AI will destroy the democracy. A Nobel-winning MIT economist published a terrifying paper called "Automation and Repression" As AI and automation replace human labor, wealth concentrates heavily in the hands of a tiny group of capital owners. Inequality skyrockets. When inequality hits a critical mass, workers realize they are being crushed and the threat of a popular revolt spikes. Faced with that threat, the ruling elite are forced to make a choice. They can redistribute the wealth through taxes, or they can use force to keep people down. The paper mathematically proves a dark reality: there is a direct, inescapable link between automation and political repression. The more capital accumulates through AI, the more the elite prefer repression over redistribution. Why? Because sharing the wealth cuts into their power. Funding a police state protects it. It gets worse. The authors modeled what happens when an economy starts inside a clean, stable democracy. As automation advances and capital concentrates at the top, the math shows that the elite eventually find democracy to be a liability. They stop supporting democratic systems. They back a coup. They install a repressive system just to protect their automated wealth. Nobody is voting to end democracy. The technology’s economic incentives just make authoritarian control the logical next step for survival.
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Introducing Gemini 3.8 Flash, another jump in Gemini's agentic + coding capabilities, and our 3rd updated Flash model in only 6 weeks... This model has been a ton of fun to work with, excited to see what you all think!
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“Push to GitHub”
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Sub agents being released into your codebase
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AI has made it possible to finally finish my to do app so I can never do any todos and realize I was the problem all along…
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PAYG is just a god awful experience😂
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Your agents never stop. Your bill never grows. That’s the idea behind Standard Compute. Frontier models when they matter. Efficient models when they don’t. One endpoint. One flat bill. Build agents like compute is abundant.
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The AI agent stack is starting to look surprisingly simple: Agent: OpenClaw / Hermes Tools: MCP Models: many Routing: automatic Inference: predictable The complicated part shouldn’t be deciding whether your agent can afford another API call.
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What’s the longest you’ve let an AI agent run completely unattended? 10 minutes? 1 hour? Overnight? Multiple days? Genuinely curious where people are comfortable today.
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Nothing kills the magic of an autonomous agent faster than: 429 Too Many Requests quota_exceeded usage_limit_reached Agents are supposed to remove babysitting. Infrastructure shouldn’t add it back.
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2024: Which LLM should I use? 2026: Which model should this specific step use? The future isn’t one model winning. It’s agents dynamically using the right intelligence for the job.
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