Brady

I demo'd this to a few domainers this week, I loved seeing their eyes light up with the magic of semantic search There's a lot of power in being able to discover names adjacent to the keywords in your search - you never know what you'll find Coming soon: > AI search using keywords from your portfolio & watchlist > schedule AI searches with email digests

Prediction: by EOY, ChatGPT will roll out slack-like features with integrated team chat, task management, and collaborative document editing You no longer need to be working so hard to coordinate across your team. The AI can do that for you while you stay single threaded in a single app for max focus

GPT-5.6 sol browser use really does feel like early innings of mass unemployment I've been having codex get me several customer calls a week by managing my inbox for me. It sifts through dozens of DMs a day and replies automatically with my pitch that it simply learned from reading my older DMs This runs 2x a day and completely takes it off my mind space so I can work on other things and not have any chance for the work to slip through the cracks Like and comment if you want a full breakdown of my tools and prompts to make this work

We built exactly that, the agent agnostic cowork & coding superapp - unstoppable code lets you bring your own subscriptions, switch easily, chain together prompts & scripts for complex workflows, and we're cooking up a code factory & memory system, too. Check it out here - code.unstoppabledomains.com

would love a new desktop agent super app - lets me switch harnesses and models and multiplex across them - makes it easy to move memory and context - can orchestrate between models ( use Fable as a planner but a lower cost model for daily driver ) - can retroactively look at usage and optimize for cost / better results

@KobeissiLetter @grok break down the issuance by company

The AI arms race is driving record Big Tech borrowing: Amazon $AMZN, Alphabet $GOOGL, Nvidia $NVDA, Meta $META, Oracle $ORCL, and SpaceX, $SPCX, have issued a record $182 billion in investment-grade bonds so far in 2026. This marks a +1,300% increase from ~$13 billion over the same period in 2025. As a result, these 6 firms account for nearly 15% of total US corporate bond issuance year-to-date and over 50% of this year's growth in corporate bond issuance. Meanwhile, a record 7 bond deals of $25 billion or more have taken place during this period, matching the total number of deals seen between 2019 and 2025. 6 of the 7 deals came from these 6 companies, with the remaining one coming from Salesforce, $CRM. AI capital needs are reshaping the corporate bond market.

please god help heal my trauma from @finkd acqui-firing the @RewindAI team. such a necessary product clearly AI is most useful when it passively collects context about you from meetings, watching your behavior, wearable devices, etc. It's only now that inference has become so cheap that pursuing all this context is economically viable for building these amazing products. exciting times ahead!

We've been thinking about the best way to use screen data for a while now. After 500k hours of beta use, we're launching Dayflow: the open source automatic work journal. One of my favorite @rabois-isms: the best predictor of success is how well you allocate your time. But nobody actually knows where it goes. Memory lies, calendars only show the plan. Dayflow shows you the truth about today so you can be intentional about tomorrow.

routing everything into a channel is a recipe for distraction and never being fully honest (you're always more frank in a DM with a trusted colleague). Decision heirarchies and some degree of need-to-know clearance is good instead, just have your company brain index DMs as well as channels, and setup some guardrails on what info should be omitted from your company brain. models are fairly discerning and it should be easy enough to keep out any critical bits from public knowledge

We're killing the DM at @Zapier. Starting with the executive team. We've long held Default to Transparency as a value. That value has largely encouraged communication in public channels. But as the company grew, DMs are a hard habit to resist and break. But every DM is a gap in our Shared Brain. It's context that is lost for humans and AIs. As a result the cost of DMs keeps going up. So earlier this year I posted about our exec transparency leaderboard. The leaderboard has become quite the competition internally… I'm 3rd today. My co-founder @BryanHelmig has held the top spot as long as I can remember… It sets a standard for the rest of the company. In fact, since last year we’ve seen the % of Slack messages in public channels go from 33% to 46%. What the leaderboard measures Transparency is a team sport, and a disinfectant. Every month we track what percentage of our execs' Slack messages happen in public channels versus private DMs. When your CEO debates strategy in a DM, that decision is invisible to every agent and every team that needs to know what was decided and why. The decision happens but the reasoning vanishes. When that conversation happens in a channel, it stays. New hires can search it, agents can read and verify it, etc. Your Shared Brain knows what's true now: ask it a question and the answer reflects the latest reality. Taking It to the Next Level Reducing DMs are one way to increase transparency and open up context for humans and AI, but there are other mechanisms that help too. Three things beyond the leaderboard: 1. Meetings get recorded, transcribed, and become queryable 2. We run a shared skills library. Anyone on the team can encode a workflow they've figured out into a skill and share with the team 3. And we keep score. It's a silly scoreboard, but it subtly drives positive behaviors Raising Your Ambition In order to get the most of AI in your company, the AIs need context. So making your context queryable is one of the most practical moves you can make to improve the effectiveness of your AI agents. P.S. I’m coming for #1, Bryan...

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@dwr @unstoppableweb lets you create an account, buy, and configure domains all via MCP & API

Is there a good domain registrar that has an official MCP server? Feels like setting DNS records is a perfectly suited for it.

@dwr @williamallen @unstoppableweb lets you create an account, buy, and configure domains all via API

@williamallen Do you know if you can buy domains via API, too?

@dwr Cloudflare

@joaopanizzutti @alxfazio Artificialanalysis.ai

@alxfazio is there a leaderboard for harnesses? like measuring the same model across different harnesses

if you’re into harness engineering, i strongly recommend looking into arc agi winning harnesses. they clearly illustrate what works from first principles, what is bs, and why a lot of current harness design is overfitted to benchmarkmaxx

AI Labs are indeed investing tens of billions in private equity ventures to apply their technologies and capture the full upside of their tech. No one is seriously claiming AI isn't useful anymore, really just a rounding error on exactly the value received vs money spent Expect PLTR to launch privacy centric generalized AI platform soon with the amount of shade he's throwing here

Funny that the guy always going off about national security and PLTR immutable audit trails can't grapple with the argument that an American AI lab should be logging user queries of an AI superweapon Yet again people attributing malice to good AI safety practices And yes, of course an equally if not more compelling motivation is to save it all for training data

I saw 25 people say to listen to this. So I did. I do not regret it. There is a lot to digest here. On many very consequential topics.

Palantir's CEO just exposed Sam Altman and Dario Amodei for robbing every Fortune 500 company. Within two minutes, Alex Karp took the entire frontier AI industry apart on national television. His exact words: "Every single enterprise in this country, these people are LIVID. They are paying for tokens that create no value. These people are stealing the weights and alpha of my business." He literally said the entire frontier AI business model is intellectual property extraction dressed up as a subscription. Then he also destroyed the pricing model with a single question that Silicon Valley still refuses to answer: "If it was so valuable, let's say I can make you $1 billion tomorrow. Wouldn't I say I'll make you $1 billion and I want 30 percent? Why are they charging for tokens if it's so valuable?" That question breaks the industry. If OpenAI and Anthropic's models truly delivered the productivity gains the labs claim, they would take equity or a share of the profit they generate. They would not sell access by the million tokens. Token pricing is itself the CONFESSION that the product cannot produce reliable value at scale. If it did, they would price for the value. But they price for the compute because that is what they are actually selling. Karp went even further... He called the entire arrangement "a wealth tax that does not help the poor. It just punishes." American businesses are transferring the alpha of their operations, meaning the workflows, the customer data, the strategy memos, the internal models that make them competitive, directly into the training pipelines of a handful of Silicon Valley labs. Once those labs retrain, the customer's own edge becomes the next enterprise product sold back to their competitors. And the part the AI industry does not want anyone thinking about: Every enterprise running its confidential documents, its customer conversations, and its financial models through a frontier model is potentially teaching that model HOW to replace them. The vendor collects the token fee AND the compounding intelligence about that customer's business. That is the mechanism. And that is why Karp used the word "stealing." He claims this is why every executive he meets is furious in private and silent in public. Nobody wants to be the CEO who called out the labs and then discovered their next competitor was built on their own leaked workflows. The entire AI industry has been priced for perfection on one assumption: That frontier labs produce durable, defensible value that justifies infinite compute spend. But Karp just told us that the customers do not believe that assumption anymore. They believe they are being taxed without benefit, watched without consent, and copied without recourse. The moment enterprises stop believing, the whole valuation stack shakes.

So, for your bloodline's sake - plant trees whose shade you'll never sit in

Which is the uncomfortable part. If it's causal, it's controllable. A culture that transmits the right things manufactures good outcomes generation over generation.

When you become a parent or spend more time around them, you internalize just how much your parents shaped your own outcomes. This immediately and uncomfortably kills a lot of arguments around privilege