David Lisk

The most beautiful part of technology is when things snap together, travel very far, and grow from a tiny seed

@_brinked @simonsarris @benclarkson They’re also the leading nuclear builder

@davidalisk @simonsarris @benclarkson

It's very funny. When I was an active climate activist people would always respond to our arguments with "what about China?" - now China has lapped us environmentally.

@simonsarris @benclarkson They’re manufacturing a lot more stuff. It’s not a fair comparison

@benclarkson US Emissions have been declining for 2 decades, China's have more than doubled since.

Industry is part of the landscape. It’s beautiful to me.

@MeganTStevenson @karpathy Here's an assignment I just assigned in case that helps

A great task for AI would be to go through all the underutilized freight lines and other rights of way in the US to figure out all the places where transit could conceivably be built

A lot of bad judgment comes from treating a probabilistic world like it owes you binary answers

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Working at a busy Raising Cane’s seems as chaotic as working at a busy bar. And the music is at a similar level

Business schools are committing dereliction of duty when they teach strategy through frameworks and case studies If you really want to teach strategy, teach people how to model dynamic systems. Once you understand the system, the leverage points become clear

Esperanto feels wistful because it came from a world where people still believed clever institutional design could solve deeper human conflict

A serious decision framework is not just “what is most likely” It is: What does the distribution look like How fragile is the plan What is the failure probability Which variables dominate the outcome

If you do not have an intuitive feel for differential equations, you are missing a huge amount of how business actually works Users, revenue, cash, backlog, inventory. None of them are static. They evolve over time through inflows, outflows, feedback loops, and constraints

@FracSlap Hey, I’m interested. Thank you!

This was bookmarked 731 times. If you want the PDF of the deck just comment here and I'll have an agent send it to you.

@elkelk He reinvented the phone book

Wait the guy shitting on everybody’s startups was building spyware this whole time?

engineering is the highest form of art

After inflation, we need a new bill to replace the $2 Its time to introduce the $35 bill

@Izengabe_ It’s crazy how these supermarkets’ taxes are funding their government subsidized competitor

There are literally a dozen supermarkets within walking distance of La Marqueta where Zohran Mamdani wants to spend $30 million of taxpayer money to build 1 of his city owned socialist supermarkets. City Fresh Market is literally 1 block away. This is hardly a food desert.

@Empty_America Stacks are amazing for discovery and finding related works. Something that's lost when everything is digitized

One in a great while you stumble on a public library that hasn't "purged" its stacks, hasn't discarded most of its collection. You can wander the stacks, find odd, obscure and unexpected treasures, the deep cuts. Things no one has checked out since 1972.

Seeing Louisville tourism ads in New York City is kind of amazing You have to respect the confidence required to pitch an S-tier city on vacationing in Louisville