John Ryu @john_ryu

@janelleeeeee___ 😂

@_BaitlessBob lol yes

@stephenmruiz lol yes

I don’t know where these people are going to go to on the bathroom.

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People out here discussing parade spot strategy.

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Sign outside Kiki’s tonight….this concludes the dimes square experiment

Jo uses GBrain under the hood and this is one of the fastest ways to get a personal AI or company brain working for you Personal AI is here

Kevin Li @liveink

3 weeks ago

Every AI tool just waits for you to type a prompt. For the last year we built the opposite: an assistant that already did the thing before you wake up. Here's what that looks like in a real family. Mine. 👇

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No investor has any right to push you to get acquired if you don't want to. The company is your project, not theirs.

Top 10 all time graduation speech by Eric Church at UNC.

What happens when you post a real Monet and say it’s AI? The coolest art social experiment I’ve seen in a while. Thank you @SHL0MS

Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts. Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system). With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly. Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process. Massive role in tech now. And another example of the kind of highly technical work that AI is creating.

First Squawk @FirstSquawk

a month ago

GOOGLE TO RECRUIT HUNDREDS OF ENGINEERS TO ASSIST CLIENTS IN EMBRACING ITS AI – THE INFORMATION

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If Anthropic starts invalidating layered SPVs and other “creative” financing structures, private markets are in for a reckoning. The SpaceX IPO will expose just how much synthetic ownership and outright fraud has accumulated in privates.

_gabrielShapir0 @lex_node

a month ago

I am surprised more people are not paying attention to this update from Anthropic on its stock policy. This seems like a potential bombshell. There is an active secondary market purportedly in Anthropic stock or derivatives including on fairly reputable (or at least well-known)

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The day a blind man sees. The first thing he throws away is the stick that has helped him all his life

Accurate

Brian Halligan @bhalligan

2 months ago

I don't remember where I found this, but its spot on.

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MIT student asked a question earlier today that a lot of young founders are quietly wondering about: "Won’t the frontier labs just do everything?" Yes it's true that OAI/Ant are shipping at incredible pace, but it's quite easy to avoid their blast radius and build amazing startups: OpenAI is not going to build a cattle-herding drone, buy an old F-150 and drive from ranch to ranch like the founder of one of the fastest-growing YC W26 startups, Graze Mate. Anthropic is not going to integrate with dental insurance verification systems (Lance). Google is not going to navigate NATO procurement (Milliray). The value is in the last mile, not the model. Sales cycles require humans who understand the customer. And most importantly, the market is expanding, not shrinking: AI isn't cannibalizing the existing 1% software spend — it's unlocking the other 5-6% that was going to humans. That's a much bigger market for startups yet-to-be-founded than the one the labs are playing in. Now, what DOES seem risky? A thin UI layer on top of ChatGPT with no domain expertise; a general-purpose chatbot or assistant; or a product that gets obsolete when model capabilities improve. But — tools for specific industries; "full-stack" AI companies that actually are the service (AI law firm, AI accounting firm, AI uranium exploration company); or generally products where the customer doesn't want a tool but an outcome — are defensible ideas for startups.

“Founders aren’t made when they start companies. They’re made when they interpret their market correctly.” Episode 2 of @KnuckleUpHQ is live. Qasar Younis (@qasar): Founder and CEO of Applied Intuition. One of the sharpest and most intentional operators you’ll ever meet on the craft of building a company. Full episode ↓ -- 00:00 Intro 01:19 What really makes someone a founder 05:26 The company that almost became Kickstarter 08:12 The most common misread on feedback 13:40 Why most founders don't end up with the best team 19:45 How to pick a co-founder 23:38 Your first 10 hires are really your first 100 28:21 The case for hiring slow and firing slow 33:22 Red, yellow, green: how Applied gives monthly feedback 35:00 The role that knows what’s actually going on in a company 40:01 How to operate with speed and intentionality 42:41 The three things Qasar spends time on 45:57 How Applied is driving AI adoption 52:06 The type of engineer Applied is now looking for 1:01:19 Why this could be the golden age of small companies 1:09:13 Quickfire: red flags, overrated advice, and superpowers 1:12:32 Qasar's advice to his 25-year-old self

Hamming's talk is so important that I reproduced it on my site. It's one of the only things on my site written by someone else. paulgraham.com/hamming.html

Ihtesham Ali @ihtesham2005

2 months ago

A mathematician who shared an office with Claude Shannon at Bell Labs gave one lecture in 1986 that explains why some people win Nobel Prizes and other equally smart people spend their whole lives doing forgettable work. His name was Richard Hamming. He won the Turing Award. He

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cursor’s long term viability was contingent on maintaining access to ant/oai models. both are actively building cursor competitors that’s an existential platform risk to survive they need their own foundation models. training frontier models requires deep pockets.. and they found the guy with the deepest pockets in the world

@kirbyman01 @a16z Bryan! Congrats-- so excited for you!

New York is about to make a massive mistake. The NY State Senate is advancing a proposal to decouple from federal QSBS (Section 1202) — the tax provision that lets startup founders exclude gains on qualifying exits. If this passes, founders would owe 10-13% in combined state and city tax on exits that are tax-free at the federal level and in nearly every other major tech state. Even worse: it's retroactive to January 1, 2025. This comes right as the federal government just expanded QSBS benefits and New Jersey moved to full conformity. New York wants to go in the opposite direction. As a seed investor in NYC who has backed hundreds of companies, I can tell you: founders are mobile. If New York becomes one of the most punitive states for startup exits, the best founders will simply build somewhere else — and the jobs, tax revenue, and innovation will follow. NYC has built something special over the last two decades. This proposal puts it all at risk for a short-sighted revenue grab. If you're a founder, investor, or anyone who cares about the NYC tech ecosystem — please sign the TechNYC open letter before Monday below 👇🏾👇🏾👇🏾 Keep building, NYC 🗽