Abhi

[John Fewell @johnfewell]

It keeps Toronto's schedules. Streetcars are where the real TTC ones are right now. GO and UP Express trains keep to Metrolinx's timetable, the Island ferries to the City's, and planes come and go at Billy Bishop on its real arrivals and departures.

[John Fewell @johnfewell]

The whole City of Toronto, isometric, and now you can turn it.

All 630 km², drawn from four angles. Hit rotate and walk around the CN Tower, or your own street. 🧵

https://t.co/Y9AGlg3F82

[Abhi @asyncawaiter]

literally nothing else matters. just hill climb on going meta and building systems (a big part of enabling this is not just processes but also the UX around it).

this is all i do for work and outside and the rewards are insane. also literally the most fun thing to do, can't wait for engineering to be the most creative part in the field of your choice in a few years!

[Paras Chopra @paraschopra]

Using AI well requires going meta: instead of solving a problem, design a system that solves the problem.

Using AI *really* well requires going meta-meta: build a system that continuously improves itself.

Using AI on God mode requires building a system that watches you and builds automations so that you're never doing what an AI is able to do better.

If this sounds dystopian, sorry to break it to you but you're still stuck in a pre-AI mindset. Whether you like it or not, the world has changed. So instead of operating how-things-used-to-be, operate in the reimagine-everything mode as your bandwidth gets free from the mundane.

[Abhi @asyncawaiter]

We're so back 😂

[Aanisha @AanishaBelur]

queueing is finally on copilot i cannot…. ✋

[Jose @josesaezmerino]

He did it. That crazy son of a bitch did it.

[Nicholas Charriere @nichochar]

pov: you just received exactly one email

[Abhi @asyncawaiter]

🥹🥹

[1Password @1Password]

Today we announce 1Password for Agents platform, building with companies @Muse, SpaceX Super Intelligence Grok @Bot, @AnthropicAI’s @Claudeai, @OpenAI, @TownAI, @Browserbase, @Browser_use, @heydana_ai, Instinct, @usekernel, @Perplexity_ai, @tryramp, @Tomo, and @wajo_ai, with more integrations on the way. 🎉

We've heard from so many of our customers who want to use these new personal AI agents to help them get more done, but want more control over what the agent can access with the same trust and ease of use they get when using 1Password directly.

1Password for Agents gives your agents access without giving up your passwords. When an agent reaches a sign-in form, it requests a credential from your vault. If you approve the request, 1Password directly auto-fills the credential in the destination site so the agent can’t see or take possession of the credentials.

The agent gets the task done, but it doesn’t get your passwords..

You stay in control. 1Password for Agents free and optional for personal and family accounts. Unless you opt-in to an agent connector, agents cannot touch your vault.

➡️Learn more: https://t.co/KxDcCum2iE

[jason @jxnlco]

you look like your job is easy to composer predict

[Andrej Karpathy @karpathy]

@scaling01 Yeah I’d say the RL is working now all right

[Julius @jullerino]

this will be a fun test

[Waymo @Waymo]

We’re bringing the magic of Waymo to Toronto! 🇨🇦

In the coming days, you’ll begin seeing Waymo’s all-electric vehicles driving through Toronto’s streets as we lay the groundwork for our ride-hailing service.

Our goal is to begin serving riders in 2028.

Sign up for future updates: https://t.co/ndrwYQlbZJ

[Marty Sullens @Sumohax0r]

@googlegemma is it possible to put this tech inside of Gmail?

[Abhi @asyncawaiter]

not sure about the model yet lol but insanely well made video!

[Sundar Pichai @sundarpichai]

Gemini 4 Argon is here.

It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search.

Hope you all enjoy it!

[Alexandr Wang @alexandr_wang]

somehow the corposlops refused to use my video

[Patrick Collison @patrickc]

Assorted things I've been mulling over regarding agents in the economy:

• Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies.

• How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be.

• In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!

• It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.)

• A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to).

• Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big.

• Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions.

Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.

[float @notesbyfloat]

A man cannot prompt the same agent twice, for it is has compacted and is not the same agent, and he is not the same man

[Arman Hezarkhani @ArmanHezarkhani]

Engineers in big tech literally have no idea what's going on in AI

[Guillermo Rauch @rauchg]

At this rate AI will get us GTA 7 before GTA 6

[Abhi @asyncawaiter]

They don’t make people like this anymore

[Jason Fried @jasonfried]

By the way, you’ll hear little sounds in the video when I’m arrowing through different alternatives. There are two tones. One’s higher pitched, which you’re gonna hear most of the time, and one is a lower pitched sound. The lower pitch sound is a return to the original. This way, I know when I’m back to the original version I was on before I began playing.

[Abhi @asyncawaiter]

@jasonfried this is the most perfect example of AI being useful while getting out of the way

The tool should not be more interesting than the work it enables 🐠

Love it.

[Jason Fried @jasonfried]

For years, maybe a decade, I've wanted to build a writing tool that just did a few things I couldn't find anywhere else.

A system that mimicked how I think when I write. A system that provided clear affordances, features, and places to do the things I wanted to do. A way to play with my writing as I'm writing it. A way to settle into just the right way to say something.

It never made sense to make it a 37signals product because it's not commercially viable, nor would it be worth pulling people off their other work to hack on this. Plus, it would have taken months the old way.

So this weekend I just made it myself, with Claude's help.

It's called Write_On and the short video walks you through it.

Essentially it's "alternative control" at the word, sentence, and paragraph level, plus a way to dim stuff back, and stash stuff near by. Not version control, but alternative control. You'll see what I mean when you watch the video below.

So here it is. Write_On.