We don’t take stakes in healthy companies. Proposing that as last ditch regulatory capture attempt in commodity market is 😢 … or at best un-American disingenuous WWE politics, not pro-market, not pro-freedom.

Lots of people are advocating for more American open-source models these days which is amazing but very few people do anything about it! Latest example, Alex Karp came out advocating for American open-source models as a necessity! At the same time, @PalantirTech is a free org on HF with 0 open-source models and 0 public datasets shared. Time to switch from talking to contributing for all!

Startups today are building two things. 1. The product. 2. The product that builds the product. It's a wonderfully exciting area of exploration. The big productivity gains and upside will come from the new systems we build with ai has a first principle (not an add on)

Agreed. How we work organizations need to be re-designed around native, agentic workflows. if you are building this check out betaworks H2 Camp

It's quite rational to regulate frontier API models, especially to get more transparency for the government, without regulating open-source AI. Here's why: 1. The most dangerous AI systems right now aren't open models. They're the large frontier LLM APIs distributed through coding tools and assistants, because: - They're built in secret behind closed doors and stay total black boxes. Zero transparency on what they can or can't do, with "safeguards" that blur everyone's ability to even analyze them. - They're built and controlled by a few profit-maximizing megacorps, concentrating unprecedented power in very few hands, with every incentive to downplay risks and overstate their safeguards. - They're distributed to hundreds of millions, maybe billions, of people and trivially easy to run. 2. Open-weight models are orders of magnitude less risky: - They're not as massively distributed or as easy to use, especially the big ones, as APIs and assistants. - We (including governments) can quickly and accurately analyze what they're capable of, and for now everyone confirms they're not as good as the APIs at doing bad things. - They're distributed to everyone, so defenders and law enforcement get as much access as attackers. The cost-benefit analysis of regulation is completely different too. Regulating frontier APIs is relatively easy and low risk while regulating open source would be much more complex, less efficient, and orders of magnitude more costly. Regulating frontier APIs would only potentially hurt a few megacorps, if it even hurts them, given all the marketing that it is already generating for them. They can afford armies of lawyers and absorb losing a few billion dollars, especially given they're on track to become some of the most valuable companies in history. Regulating open source, by contrast, would hurt the very people regulation is supposed to protect: small businesses, startups, researchers, nonprofits, universities, independent developers, and the broader public, while risking killing competition, slowing AI progress, and reducing transparency even more!

botcamp @betaworksVC mafia!

Welcome back Josh -- agreed, the foundation is there time to build the experiences and worlds

- 2016-2024: 🇺🇸leads in open-source AI - 2024-2027: 🇺🇸 leads in general AI & massively benefits - 2024-2026: 🇨🇳 leads in open-source AI - 2026-2030: ?? It's not open-source AI leadership OR general AI leadership, it's open-source AI leadership BEFORE general AI leadership! Open-source AI is the foundation of all AI. It does not only creates more innovation, competition, jobs, and prosperity now, it's also the best (only?) way for a national tech ecosystem to accelerate and ultimately reach the frontier of AI in general. Because open-source AI reduces siloes, shares learning and innovation, intensify emulation which all lead to an acceleration of the local ecosystem progress that no others can match if they're less open and collaborative. Same seems to be true for companies btw, OpenAI/Google started with open science and open-source AI which led to their (and Anthropic who spun off from OAI) domination. Meta could have done the same but decided to change course for some reason.

this

We have entered the era of tasteslop @khole_emily

Radically different companies will be born in this era of abundant intelligence.‍ Apply to betaworks H2 2026 camp if you are building: - Novel forms of organization that assume AI at the core - Products that are responsive to highly likely second-order effects of an AI-native economy - Steering and certifying human agentic systems — compounding effects in trusted outcomes - New marketplaces for non-human consumers - AI that breaks out of the computer and is given the ability to interact with the physical world ! details 👇👇

These briefs are really good — been testing for a while. Terse. Concise and to the point.

Meet betaworks Agent Systems Spring 2026 Camp Cohort betaworks.com/writing/spring…

I'm a big believer that everyone should be designing in production @Dessn_ai 's approach is 💯

we had a name for this long before tokenmaxxxing - we called it Nim's Law. @eminimnim and @GabriellaHach we are so excited for this announcement! @Dessn_ai is the future. as always, flawless coverage from @IndianIdle

Love my Stream ring - the perfect companion to AirPods from @sandbar HT @minafahmi and @jordanrcrook

in a world where code is cheap to produce software is the new media come see me talk with @Borthwick and co @betaworks tomorrow about this! luma.com/m49iba7i

I’m hearing there’s renewed lobbying in DC and in state legislatures to ban or severely restrict open-source. Like a few years ago, we’ll need everyone to help show policymakers why open-source matters: for startups, for competition, for economic growth, and for jobs. If you build with open-source, now is the time to speak up!