We’re spending $200B a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week. Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest. That compression from 18 months to one week tells you everything about where this is going. Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales. The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025. Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples. The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute. The question was never “can it run Doom.” The question is what happens when it can run everything else.

You tweak one thing in your strategy and the AI breaks what was working. We just shipped version control for AI Chat. Every file now has full edit history. Name your versions. Roll back in one click. Never lose a working version again. roboquant.dev

if ur building in true consumer then please bro think twice about marketing on X tech twitter is TINY and at best will brutally force you into the hell hole of a plateau that is $300k/mo if u can find me irl and are not extremely unlikable, i will eagerly share all learnings

We’re excited to share another major update and this one was heavily driven by community feedback. What’s new? ✅ Webhook Connector expanded Binance, Bybit, Hyperliquid, and Kraken are now fully supported (by popular demand). ⚡️ Faster execution Execution delay has been reduced to 250ms. 📊 Realtime Position Tracking Monitor your trades live with accurate position updates. 📅 PNL Calendar Easily track and review your performance and trading metricts over time. …and there’s more coming very soon 👀 We’re working day in and day out to continuously improve the Roboquant AI Coding App. At this point, it doesn’t just help you code — it replaces multiple tools entirely. Right now, Roboquant: - Replaces a traditional trading journal - Replaces PickMyTrade (which alone costs $50/month) - Integrates directly with TradingView via our Chrome extension - Autonomously debugs Pine Script (a feature no other app offers) - Writes higher-quality Pine Script than any other solution on the market 💰 All of this for just $30/month. If you’re not using it yet, you’re not just behind — you’re missing out.

Kubernetes killed more startups than server crashes ever did You don't have Spotify's scale. You have 8 engineers and a single server that's running fine But you watched a KubeCon talk, and now you've got 23 YAML files, a Helm chart nobody fully understands, and engineers debugging pod evictions instead of buildinga product Your "cloud-native infrastructure" is just a cloud bill with extra complexity A $50/month VM can handle millions of requests. Your startup will run out of money debugging networking issues long before you need horizontal pod autoscaling The best infrastructure decision is often the simplest one

This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.

Codex 5.2 is now available - the frontier model for long-running coding tasks v1.9.1. Try it out now -> roboquant.dev/

🚀 Introducing RoboQuant AI The first AI that turns your trading ideas into working bots. No code. No complexity. Just describe your strategy. → MT5, TradingView, NinjaTrader → Backtest instantly → Deploy in minutes Stop watching charts. roboquant.dev

Don’t try to micromanage your expenses. Just make more money.

imagine working from a desk your entire life