Mukut

Founder at &

[Mukut @mukut]

@timsoret Haven’t found anything rapacious about Jason’s reporting. Long-term fan of Kodjima, played boyh DS games (the second game did not hit the same high mark for me).

[Mukut @mukut]

@yacineMTB Pretty sure that will relate to so many ppl around here, and only a handful will actually see smth meaningful come out of this obsession. Hope you make it

[Mukut @mukut]

@lennysan @bot sourcing all my twitter bookmarks and run it vs what i am working (scheduled) on in grok bot (ok codex and cc atm😁) to get a daily action plan on how / whether to introduce these ideas into my projects

[Mukut @mukut]

@jonaasw1 @Revolut please two invites 🙏🏼

[Mukut @mukut]

@Aris_Utensil Dunno, gives me damon lindelof

[Geoff Keighley @geoffkeighley]

Hats off to doctoral student and podcaster Zhong Shu in Beijing, China, who did this fascinating and smart interview with Christopher Nolan about THE ODYSSEY yesterday, originally posted to Bilibili.

A great listen/watch.

[Mukut @mukut]

@theo nice try

[Mukut @mukut]

@om_patel5 Why?

[Mukut @mukut]

@Lib_Development evolution is slow and then abropt, it'll follow, moronity can't be preserved, humans with ai will make sure of it

[Mukut @mukut]

@paolocargnin @levelsio There are easier ways of reaching that state than tokenmaxing

[Mukut @mukut]

@robj3d3 no we know why you really went into ICU, watching england national team wasting its potential is a taller order 😁

[Mukut @mukut]

@robj3d3 @AnthropicAI you do know if the work is so important you can still get fable over api? @theo and the others put some good orchestration methodologies. thats at least what i kept telling myself over the past two weekend of what i assume was a similar grind to yours 🫠

[Mukut @mukut]

you guys, crypto winter might be coming to an end @edels0n just tore down btc apart in his analysis https://t.co/IQwXvm1GD2 @realsteveeisman you can do

[Mukut @mukut]

@paulg Smart or relevant - to the best estimate at the time of policy implementation, and easy to revert. Getting rid of trashy citizens as advantageous as it may seem is way less realistic

[Mukut @mukut]

@thekitze As long as you dont close your comments, ppl shall come, cool cave 🙂

[Mukut @mukut]

@elonmusk Sneaky @sama set a ploy to encourage elon get ting his cake before burning the calories 😀

https://t.co/XUo19TnOlC

[Sam Altman @sama]

@elonmusk you deserve it anyway.

[Mukut @mukut]

@bryan_johnson now your midnight erection data makes more sense 😁

[Mukut @mukut]

@hieudinh_ congrats! kinda sucks that the ad is so cringe though

[Mukut @mukut]

@Tocelot @c_valenzuelab @runwayml @NBCUniversal The banner kinda sucks though

[Lenny Rachitsky @lennysan]

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.