Given the insane amount of effort that goes into this (as well as the value it provides):
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I’m astonished more people aren’t raving about Tesla’s full self driving.
I no longer need to drive my car.
The only time I take control is to back into my garage because it’s down an awkward ramp.
If you are an Opendoor shareholder, I have an ask.
Proxy advisors at ISS and Glass Lewis have recommended shareholders to vote against me at our Annual Meeting. I don’t take this personally. This is the fifth time in my career these same people have told people to vote against my team.
These proxy advisors have built no companies and are not meaningful shareholders of OPEN. They're a checkbox industry charging fees to tell other people what to do with shares that aren't theirs.
Usually most companies can’t do anything about this since many institutional shareholders will just vote the way ISS tells them to.
But Opendoor has the Open Army! It is important that we stand up against this separation of management from shareholders.
If you are so inclined, help tilt the world in favor of shareholders and away from bureaucrats.
Find out how (ask your broker, check your emails) and vote your shares. Our board is excellent. We are back on mission and we are winning.
Don't outsource your vote. Read the proxy. Vote your shares.
My biggest takeaways from @danshipper:
1. The future of work will happen inside Codex or Claude Code. Instead of putting AI into your SaaS tool, you’ll use your SaaS tools inside your favorite AI agents' in-app browser. Dan spends all his time in Codex now—writing documents, managing email, doing research, everything. He's using Google Docs, PostHog, and everything he needs within the agent's in-app browser. The agent can see what he’s doing, and has all of his context, so he and his agent collaborate quickly and super effectively.
2. Automation is a lie—every automation needs a human. Dan's company doubled in size this year despite being incredibly AI-forward. Why? Because in order to make automation work well, you need humans making sure everything keeps working. This is why benchmarks are misleading—they measure AI on problems we’ve already framed and can score, but there’s always a higher frame.
3. PMs will win the AI era. Marcus, a former PM who previously ran Axios’s writing product, joined Every after getting super AI-pilled. Now he runs their product Spiral, and ships faster than anyone on the team. He pairs technical knowledge with spiky product sense, deep user empathy, and an eye for what matters. Dan thinks any PM who gets really AI-native will be incredibly dangerous because the building is done for you—what matters is figuring out what to build and if it’s great.
4. Full-stack designers are becoming superheroes. Designers used to make beautiful interactions that engineers didn’t want to build or couldn’t execute properly. Now designers don’t need to hand things off; they can build it themselves. Designers are naturally creative people, and AI is the perfect tool for them because it lets them bring their vision to life without the traditional bottlenecks.
5. SaaS is not dead. In fact, Dan is bullish on SaaS stocks. When users bring their own AI (via Codex or Claude Code) to use SaaS products, the user—not the SaaS company—pays for tokens. This saves SaaS company’s margins. Since the agents need their own seats, Dan predicts that agents will create massive new demand for SaaS because there will be tons of agents using these products at high volume.
6. Every company will have one “super-agent” inside their Slack that every employee will use. Dan initially thought every employee would have their personal work agent, like a shadow AI org chart, but he’s completely flipped his view. He realized agents need humans who care about them. When someone gets tired of maintaining their personal agent, it becomes useless. The winning model is one forward-deployed engineer or AI-savvy person who maintains a company-wide agent (like Shopify’s River or Viktor), and then it trickles down to more specialized team agents as models improve and become less fiddly.
7. The AI job apocalypse is not happening, but you do need to evolve to stay relevant. Models make yesterday’s human competence cheap. But because everyone uses the same models, it all looks the same if you use it the default way; it becomes commoditized slop. Humans then take that frozen competence and use it to make something new and interesting for their specific situation. The key: “ride the models”—use them for everything you do, try new models when they drop, keep turning over rocks.
8. We will read way more AI-generated writing, and we will like it. Human writing is incredibly important for things that matter, but for internal docs, planning, and email, AI-generated is often better because most people are bad at writing strategy documents.
9. Build software for humans and agents to use together. The current model is building a CLI that an agent uses independently. Instead, you and your agent should be using the app together. This creates new design challenges—agents can make a billion requests in three seconds, so you need approval flows, inboxes that summarize what happened, logs, and easy rollback.
10. Forward-deployed engineers are the new most essential role. The big model companies have teams of people managing their internal agents, and those teams aren’t going away. It’s different from traditional software building, and certain engineers love it. As models get better, this role will evolve—you’ll be managing more agents doing more things.
I genuinely feel bad for the people who have the good fortune of living in America, yet spend all their time hating the country that provides them so much opportunity.
tried to switch to @raycast beta but it's not ready for primetime for me yet. was running into different bugs. i'm just sad i lost all my clipboard history
Codex mobile inside ChatGPT has been solid so far and it’s fast. But if you’re launching things and juggling branches, work trees, terminals, deployments, remote sessions, @useRemodex is still in my workflow. And ChatGPT doesn’t launch straight into codex directly either…
A great personal agent should:
1. Get work done across email, calendar, Google Workspace, or any API/MCP it's hooked up to
2. Act proactively and reliably (e.g., cron jobs, triggers, follow-ups)
3. Have excellent memory that helps it "just get you" over time
4. Work across web and mobile without slash commands or manual setup
5. Let you switch between text, voice, video, and live calling mid-conversation
6. Be reachable from any 3rd party messaging app, just like a real person
7. Have a personality that makes it fun to talk to
OpenClaw, Claude Code, Codex - the truth is that none of them check all these boxes yet.