Forward Deployed Member of the Non-Technical Staff rostra.co. Writing greaterstill.blog.
New York City
Joined February 2020
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As it turns out, comms is a lot like life. Here are my field notes, one year in: greaterstill.blog/p/life-les…
Gaby Goldberg retweeted
I spoke with Peter Thiel about socialism, Mamdani, a broken generational compact, and revolution. Read below.
Gaby Goldberg retweeted
One of the few things I don't love about our industry is the idea that to do big things you have to be broken as a person in some way.
Dylan to me is a prime example of someone who is hugely successful and an incredibly good person.
I loved his response. "Don't get so attached to the chip on your shoulder that you don't work through it."
New episode of Uncapped with @zoink.
I think he's one of the best founders of our generation. I always feel smarter and clearer and after talking to him.
We talked about the slow build of Figma vs. the dizzying start of today's AI startups, the role of AI and humans in design, the importance of staying connected to young people, and what it takes to be a strong and empathetic leader.
Gaby Goldberg retweeted
the meta lesson here is to study game-selection, not just game-play.
picking a great game goes a longer way than playing a bad one well.
Gaby Goldberg retweeted
Ladies & gentlemen.. We hope you enjoy the hell out of Episode 3, “Bands”
Take a hilariously informative road thru the history of rhythmic sound as Music Industry 🐐s, Jimmy Iovine & Rick Rubin, make their cases for the 4 Greatest Bands of All Time.
Did they get it right?
Rushmore on X, Bands
Two Music Industry GOATS, Jimmy Iovine and Rick Rubin, join Ari and Ben to figure out who are the 4 greatest Bands of ALL TIME... This is Rushmore on X, Bands. WHO'D WE MISS??
Gaby Goldberg retweeted
When I voted in NYC this morning (PS 89 site in Tribeca), the polling workers gave me a ballot that had already been filled out -- for Zohran, of course.
Gross incompetence from the polling workers at best. At worst, fraud designed to confuse voters in favor of their preferred socialist candidate.
Either way, a harbinger of what's to come when we hand the keys to an incompetent, radical ideologue who has never had a real job and who is obviously unfit to run a lemonade stand, let alone the greatest city in the world.
We had to run back from the watch store to make the interview. Thanks Marc and Ilya for filling in
Gaby Goldberg retweeted
Can’t win games without having big time players! Applied Compute is building star players by giving companies specialized AI models for each role. Couldn’t be more excited for ex-OpenAI superstars @ypatil125 @rhythmrg @lindensli and their team to get it done!
Generalists are useful, but it’s not enough to be smart.
Advances come from specialists, whether human or machine.
To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data.
We call this Specific Intelligence.
It's what we're building at Applied Compute.
We unlock the latent knowledge inside a company, use it to train custom models, and deploy an in-house agent workforce that reports to your team.
We work with sophisticated companies that have already captured early gains from general models, like @cognition, @DoorDash, and @mercor_ai. They’re pulling even further ahead with proprietary in-house agents that don’t need to wait for the next public model release.
Together, we are building and validating models and agents in days instead of months, achieving state-of-the-art performance on customer evals.
Our team has high density and low latency. Our founders all worked on different parts of this problem while they were researchers at OpenAI — @ypatil125 as a key member on the agentic software engineer effort (Codex), @rhythmrg as a core contributor to the first RL-trained reasoning model (o1), and @lindensli as a core contributor on ML systems and infrastructure for RL training.
Two-thirds of the team are former founders, and everyone brings a deep technical background, from top AI researchers to Math Olympiad winners.
We are backed by $80M in funding from Benchmark, Sequoia, Lux, Elad Gil, Victor Lazarte, Omri Casspi, and others. With their support, we are growing the team, scaling deployments, and bringing to market the first generation of agent workforces built on specific models.
In short:
1. We are building Specific Intelligence for specific work at specific companies.
2. That will power in-house agent workforces to support their human bosses.
3. That in turn will unlock AI’s full potential through humanity’s greatest engine of progress: thriving corporations in a free market.
Gaby Goldberg retweeted
Generalists are useful, but it’s not enough to be smart.
Advances come from specialists, whether human or machine.
To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data.
We call this Specific Intelligence.
It's what we're building at Applied Compute.
We unlock the latent knowledge inside a company, use it to train custom models, and deploy an in-house agent workforce that reports to your team.
We work with sophisticated companies that have already captured early gains from general models, like @cognition, @DoorDash, and @mercor_ai. They’re pulling even further ahead with proprietary in-house agents that don’t need to wait for the next public model release.
Together, we are building and validating models and agents in days instead of months, achieving state-of-the-art performance on customer evals.
Our team has high density and low latency. Our founders all worked on different parts of this problem while they were researchers at OpenAI — @ypatil125 as a key member on the agentic software engineer effort (Codex), @rhythmrg as a core contributor to the first RL-trained reasoning model (o1), and @lindensli as a core contributor on ML systems and infrastructure for RL training.
Two-thirds of the team are former founders, and everyone brings a deep technical background, from top AI researchers to Math Olympiad winners.
We are backed by $80M in funding from Benchmark, Sequoia, Lux, Elad Gil, Victor Lazarte, Omri Casspi, and others. With their support, we are growing the team, scaling deployments, and bringing to market the first generation of agent workforces built on specific models.
In short:
1. We are building Specific Intelligence for specific work at specific companies.
2. That will power in-house agent workforces to support their human bosses.
3. That in turn will unlock AI’s full potential through humanity’s greatest engine of progress: thriving corporations in a free market.
Imagine being Satya, making history by giving an exclusive interview to @tbpn over a trad media outlet, and then your comms team decides to still go full steam ahead with the corposlop 9000.
What do these words mean???
Together with our customers and partners, we’ve accelerated AI innovation, driving efficiency, productivity, and industry transformation. Now it’s time to demand more of AI: to democratize intelligence, eliminate the mundane, and unlock creativity.
More from @judsonalthoff: msft.it/6004t8wao
The AI race will be won or lost on silicon, but for too long, we’ve depended on foreign suppliers for the advanced chips that power our most critical technologies.
That changes with @substrate, the new leading-edge American foundry:
