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Why Every Traded Personal Agents for One Company Agent

AI & I by Every · 2026-10-08

Speaker 1 | 00:00 - 00:12
The hot thing right now is dots. They’re persistent agents from OpenAI. I was there at Dev Day when they launched them. I interviewed Sam about them, and I’ve been using dots since before they came out. And now we’re into week two of dots.

Speaker 1 | 00:12 - 00:46
So how’s it going? If you read my vibe check, you know that I thought they were a little bit rough to begin with, but that the idea of a persistent proactive agent was obviously the future. Even before DOTS launched, they’d become my main way of interacting with ChatGPT, and they’re still that way after la…

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Boris Cherny (@bcherny)

Ok back to reading [55 ❤️]
It was one prompt, claude verified pretty well too! No bugs so far [28 ❤️]
Try it [57 ❤️]

Thibault Sottiaux (@thsottiaux)

Day 3 (encore)/

We silently re-shipped codex cloud. It’s pretty good now [433 ❤️ 23 🔄]

Confirmed landed across all accounts. How are we doing so far? [4525 ❤️ 72 🔄]
Will be there by EOD PST. [2203 ❤️ 22 🔄]

Peter Yang (@petergyang)

.@suno is so damn good honestly. It’s probably going to overtake Spotify at some point. [40 ❤️ 2 🔄]
AI already solved images, music, and video. It’s going to solve gaming soon [45 ❤️ 2 🔄]
It seems like anything you ship can now be decompiled and rebuilt by AI.

I think it’ll soon be incredibly hard to make money from software unless you have proprietary data, distribution, or some other edge.

Traditional SaaS is especially vulnerable, since it’s expensive and full of features built for humans that agents don’t need. [6 ❤️ 1 🔄]

Nan Yu (@thenanyu)

Dread it. Run from it. The One True Productivity App Layout arrives all the same. [21 ❤️]

Cat Wu (@_catwu)

One of my favorite PM use cases for Claude is asking “who used <feature> the most last week? make me a artifact of the top 10 by usage, then reach out and schedule 15 min to chat.” It’s the fastest way to get user feedback! [246 ❤️ 8 🔄]

Thariq (@trq212)

and because agents make it easier, almost everyone is operating outside their expertise at some point

but luckily, you can just ask the model to teach you what you don’t know [148 ❤️ 7 🔄]

the most common failure case I see is when people are working outside their domain of expertise and don’t know how to be precise with their prompts and plans, so they have to spend a lot of turns iterating imprecisely [1296 ❤️ 41 🔄]
I think it’s probably an incredible time to be a game dev content creator, for many people making games is a form of having fun and they’re willing to pay for it! [453 ❤️ 17 🔄]

Google Labs (@GoogleLabs)

🚨NEW EXPERIMENT 🚨

Playground is an experimental gaming platform that lets you create your own games with zero coding experience. If you can think it, you can play it.

Go to to learn more! Available to users 18+ in the US. [23081 ❤️ 2384 🔄]

Amjad Masad (@amasad)

Math was bound to fall first. The purer the field the easier it is for AI to crack. [1095 ❤️ 90 🔄]
That’s because Replit is not a consumer app. Most of our creators are building businesses or working on one. [513 ❤️ 21 🔄]
Desktop AI apps are great but expose users to supply-chain attacks and catastrophic mistakes by agents.

We’re building a powerful desktop experience with focus on security & reliability.

Excited to partner with @Microsoft on this and be an early adopter of @nvidia’s OpenShell. [224 ❤️ 12 🔄]

Guillermo Rauch (@rauchg)

One thing the engineering community will (re)discover is that every program can be ① hardened (edge cases squashed, inputs tightened, errors handled) and ② optimized (profiled, benchmarked, rewritten) basically ad infinitum.

There are real costs in every direction: time, attention, opportunity. You can literally explore input spaces that will never be hit or optimize performance of something that will never be used (“you have no users”.) Even in an infinite token world, you need to know when to stop and what tradeoffs to accept. Agents will happily drill no matter what. [605 ❤️ 39 🔄]

gm from the best city in the world [784 ❤️ 11 🔄]

Alex Albert (@alexalbert__)

For reference, Haiku 4.5 came out on October 15th, 2025 so these two columns are less than a year apart.

and oh yeah Haiku 5.5 is also much faster and 75% cheaper… [349 ❤️ 15 🔄]

Aaron Levie (@levie)

The compute needed for the stage of AI we’re about to enter is going to be insane.

Personal agents, agent swarms defending enterprises, agents that review all of our code for security issues, agents that process nearly all enterprise data in workflows, background agents working on tasks 24/7, and on and on.

This will take a mix of inference volume that is going to keep growing by orders of magnitude, as well as infrastructure that agents need alongside the tokens. They need computers, networking, file systems, and so on.

We’re only in the early stages of what this buildout is going to look like. [812 ❤️ 65 🔄]

Matt Turck (@mattturck)

Fun fact: Ben Affleck, the successful AI founder and Python/CNN/GPU expert, had a prior career in the entertainment industry. [158 ❤️ 8 🔄]
Ofc everything is on X is mind-blowing, but having seen the beta version, this is… truly mind-blowing. [40 ❤️ 3 🔄]

Zara Zhang (@zarazhangrui)

I love @stripepress because I absolutely judge a book by its cover [3 ❤️]
Who has the coolest personal website? [108 ❤️ 7 🔄]
Remember that coding is a means to an end. The end matters more than the means [139 ❤️ 11 🔄]

Nikunj Kothari (@nikunj)

Moving @askalphaxiv to the dock is the best thing I have done this week..

Went from 0 to ~30 mins of reading papers on my phone whenever I’m waiting on things. [4 ❤️]

To all the people visiting SF for tech week..

the best builders are probably at their own offices. so DM them and try to meet them there.
don’t be a tourist [152 ❤️ 5 🔄]

[2 ❤️]

Peter Steinberger (@steipete)

While everyone’s talking about agents, I’ve been exploring how teams can use them to work better together.

Here’s my take, from OpenAI DevDay 2026. [671 ❤️ 40 🔄]

Dan Shipper (@danshipper)

tfw your ChatGPT app is controlling your Claude app is controlling your ChatGPT app [49 ❤️ 2 🔄]
OpenAI’s Dots launched last week and they’ve taken over @every.

A few things that stand out:

They protect your attention. Over the weekend, my Dot posted my model-testing results to Slack and brought back replies. I could keep working without opening Slack and disappearing down a rabbit hole. My weekend stayed pretty clear and calm.

They’re useful for the little things you miss. People at Every are using them to pull important information out of school emails, catch missed Slack messages, and flag account-access requests.

Voice makes them useful away from your laptop. Our head of video was talking his Dot through video edits while running around getting our launch out.

The ecosystem matters. Dots feel roughly at feature parity with Muse, Instinct, and Grok bots. But having an agent connected to the ecosystem you already use for work and life is a real advantage. If you use ChatGPT, I recommend trying one.

Permissions are still frustrating. I have to approve the same basic thing multiple times, and sometimes even after I approve it, my Dot says it can’t do it. That needs to get fixed.

I’m less convinced we’ll stay loyal to the characters. Mine is named Boo, and I’m attached to him. But I felt that way about my OpenClaw agent, too. When something better comes along, I switch. In a year, I expect to be using a persistent agent. Boo will probably be dead. RIP, Boo.

I get into all of this at the start of this week’s podcast, and then sit down with @bigwilliestyle to talk about where we go from here.

In a lot of ways, Dots and GrokBots remind me of a wave we went through with OpenClaw eight months ago. We talk about personal vs. company agents, why we built our own company agent, and whether companies will end up with a whole shadow org chart of agents.

Full episode below. [94 ❤️ 7 🔄]

Love to see it!! [11 ❤️]

Aditya Agarwal (@adityaag)

My first time in a @Waymo felt like a religious experience.

Co-CEO @dmitri_dolgov and I talked about it. In a Waymo.

Full conversation at @spc releasing tomorrow. [52 ❤️ 7 🔄]

What should an ambitious software engineer do today?

Ten years ago, being a great software engineer gave you an unusual advantage: a rare skill you could apply to almost any industry.

You could build a payments company, improve how hospitals operated, or create a new way for people to communicate. The same underlying ability opened doors into wildly different businesses.

Software was eating the world, and knowing how to build it gave you a seat at the head of almost every table.

“Get really good at software engineering” was remarkably versatile advice. You could acquire the skill first and figure out where to apply it later.

AI is making the ability to produce working software much more widely available. People who couldn’t have built a product a few years ago can now get surprisingly far. Experienced engineers can attempt projects that previously required a team.

Great engineering is still rare. But “I can build it” is becoming a weaker answer to why you, specifically, have an advantage.

The way I see it, there are three paths.

Go work on the thing that’s eating software

Help create the technology that is making software engineering more accessible.

That could mean AI research, or the infrastructure, systems, and tools needed to make new capabilities useful. Find problems where technical ability remains a serious constraint, and where solving them expands what other people can do.

Find a world-class domain expert and team up

Someone who has spent fifteen years in an industry may know where the expensive mistakes happen, why previous attempts to fix them failed, and who would buy a solution. That knowledge is hard to acquire from the outside.

At SPC, we’re seeing more people become promising founders without much prior software engineering experience. They bring deep domain knowledge and strong instincts about what needs to exist.

These are people worth getting to know. A great engineering partner can see possibilities they haven’t considered and help build something neither person could have imagined alone.

Write vanilla code… by shepherding a bunch of agents

This is the direction I find least compelling: doing roughly the same work inside a company, except now you supervise coding agents.

There will be valuable jobs like this. But if your ambition extends only to completing the same backlog faster, you’re underusing the moment.

I’d still get very good at engineering. Then I’d be deliberate about what that ability sits next to: a technical frontier that needs advancing, or deep knowledge of a problem worth solving.

Use the fact that you can build more to take responsibility for something bigger. [179 ❤️ 13 🔄]

Sam Altman (@sama)

Have been waiting for this one for a long time, and I would hate to have to go back to the old version of Chat! [548 ❤️ 9 🔄]
ChatGPT can now generate a custom UI for you! [8052 ❤️ 337 🔄]

Claude (@claudeai)

One more thing: we’re halving the price of cache reads on Claude Sonnet 5.5, to $0.10 per million tokens. That makes Sonnet 5.5 around 20% cheaper to run on most long-running work. [10304 ❤️ 517 🔄]
Haiku 5.5 is available now on all platforms, including Amazon Web Services, Google Cloud, and Microsoft Azure.

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AI 行业热点 - 2026-10-08