olympian. crafting agents who craft agents
Melbourne
Joined March 2014
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Be Nathan Fielder:
> grow up in Vancouver, Canada
> join your high school improv group alongside Seth Rogen
> graduate with a commerce degree in 2005
> decide accounting isn't for you
> start doing comedy
> land a correspondent role on This Hour Has 22 Minutes
> create a segment called Nathan on Your Side
> give real people increasingly ridiculous advice with a completely straight face
> turn the concept into Nathan for You on Comedy Central in 2013 at 29
> spend four seasons convincing real businesses to try increasingly absurd marketing schemes
> sign an overall production deal with HBO in 2019
> convince them to fund The Rehearsal
> build an exact replica of a New York bar so one man can practise a conversation
> co-create The Curse with Benny Safdie and cast Emma Stone
> return to The Rehearsal in 2025 and spend over two years learning to fly
>actually pilot a Boeing 737 carrying more than 100 actors
>secretly spend three years filming convicted Theranos founder Elizabeth Holmes
> co-direct You Can See Everything with Lance Oppenheim
> convince A24 to release the nearly three-hour documentary
> make it for roughly $7 million
> open in 2026 to $15 million from just 855 cinemas
> sell out more than 2,000 screenings in one weekend
deliver the biggest non-music documentary opening in over 20 years
nice
The wild Seinfeld story
> grow up in Massapequa, Long Island
> your dad paints signs for a living and collects jokes
> graduate college in 1976 and decide to become a stand-up comedian
> spend years performing in New York comedy clubs
> make your first appearance on Johnny Carson's Tonight Show in 1981
> meet Larry David and pitch NBC a sitcom about nothing
> secure backend profit royalties for both of you
> convince the studio to let you act, but not Larry
> recruit Michael Richards, your co-creator's old colleague from Fridays
> cast Julia Louis-Dreyfus, who worked with Larry David on Saturday Night Live, and also a daughter to a billionaire
> pick Tony Award-winning Broadway actor Jason Alexander as George
> base George's personality on Larry's own disastrous social interactions
> premiere Seinfeld in 1989 to terrible audience ratings
> turn it into the number one show in America
> negotiate $1 million per episode for the final season
> pay George, Elaine and Kramer $600K each per episode
> they ask for a share of the show's profits
> they get turned down
> NBC offers you $110 million to make one more season
and you turn it down
> end the show in 1998 with 76 million Americans watching the finale
> watch the show generate billions in syndication revenue
> launch Comedians in Cars Getting Coffee in 2012
> sell the series to Netflix in a deal reportedly worth $100 million
> Hulu pays up to $180 million for Seinfeld streaming rights in 2015 again
> Netflix then re-pays more than $500 million for global streaming rights
> become a billionaire
> in 2026, 72 million Americans watch a show you stopped making 28 years ago
> turn 180 episodes about nothing into an estimated $7 billion business
listen to it NOW
i made this lightning fast terminal based stock market app, powered by @findatasets and @OpenAI
and so far I think @bot is the best at this
I think the personal AI agent race gets misunderstood as a model or feature race.
It’s a friction race.
Lower friction → more interactions → more context → more permissions → better actions → more trust → more delegation → higher switching costs.
I’m already seeing it in my own behavior. I use raw LLMs less, but AI more. The difference is that the agent is just there, inside the interfaces I already use.
That’s how an assistant becomes infrastructure.
I built a podcast insight ranker with Jev + DeepSeek via Vercel AI Gateway.
Jev scores 85 transcript sections from the @AcquiredFM Home Depot episode in around 380ms per batch.
Low-confidence scores go to DeepSeek, which also explains the top 5.
First quick test of Jev from @typesafeai
Install via @vercel gateway
Sending evaluation (input validation passed):
{
"model": "typesafe-ai/jev",
"state": {
"character": "2"
},
"questions": {
"kind": {
"type": "choice",
"instructions": "Is the character a number or a letter?",
"criteria": {
"number": "The character is a single numeric digit from 0 through 9.",
"letter": "The character is an uppercase or lowercase English letter from A through Z."
}
}
},
"maxRetries": 0
}
[Jev 60e7bb68] Evaluation received:
{
"choice": "number",
"probabilities": {
"number": 1,
"letter": 0
},
"durationMs": 1437,
"tokens": {
"input": 342,
"output": 31,
"total": 373
}
}
While I'm generally bullish on the market. The only stock which I'm probably finding myself thinking more about now is $CRWD I think the stock price and market is reflecting more of of the reality of the strength of the business. Something that I felt like I saw a few years ago. As a result not sure how much upside is left over the next few years, compared to some beaten down names like $META and $HUBS. The opportunity cost of capital is real but so is the cost of selling. I'm thinking of the possibility of reducing my $CRWD position by 20-30% in the next weeks/months.
How do you know if you’re good with AI any more?
Like the AI is so good that I can’t tell if I’m good or if it’s just the AI.
It was 2026 and every few days a guy called @thsottiaux would hit the reset button if we were lucky
So $HUBS is only a $13b market cap? Feels like it punches well above its weight as a brand. Have a small position in it but might look into it more.
videogen improvements got me excited about design tests again
first time checking out @paper
