vanuatu

you can get 1% as a founding eng at seed, and its not uncommon for a 5 at 50 seed

dilution is also dependent on the opex, founder negotiating power, and growth of the company. There are startups raising monster rounds at <5% dilution a round

If you are an employee however and your co is raising highly diluted rounds with poor growth probably best to jump ship

For now!

Even if not, there's pricing pressure between chat, gemini, and claude. The products seem to be comparable for laypeople which is why OpenAI has been investing a ton in their memory feature to try to lock in users

It's unclear to me how this will play out because LLMs don't have the same network / platform effects as the other examples (Uber / Facebook), nor is there one dominant LLM that is overwhelmingly better than the competition for consumers (Google). There's overwhelming competition from the open source cheap models especially for the lower-mid intelligence use cases

not very often which is why its zero signal

in rare occasions it might go the other way around, like someone who has so much experience they dont need a pretty resume because their work speaks for itself

New grads are the biggest offenders of the resume slop

as someone who has done 100+ first round interviews for SWE, including new grad

zero signal: resume & cover letter. applicants will mass-apply with ai-tuned resumes that happen to perfectly match our listing

medium signal: top 15 school / top N internship experience / built something with paying users

highest signal: personal referrals

+1, referred candidates at my company perform way better in interviews and on the job compared to cold applicants

I'm very optimistic. I think most diseases being cured, extended lifespans, physical abundance, and zero poverty are within reach in our lifespan, due to technology.

I think humans will be about the same in terms of happiness, due to how quickly to acclimate to our situation. But they'll look back on us with shock at how we ever lived like this!

the article takes this into account with EV

obviously vol is not the end all be all but one of your main advantages as a startup employee is access to the insider info and being able to walk away

its not imagined, its already happening at scale in f500, the companies they work with to do this are going vertical

the govt helped lift many, many millions out of poverty since opening to the rest of the world?

its pretty easy to point your terminal agent to your giant pr and ask it to break it up into small prs

if youre being asked to rubberstamp prs thats a management skill issue

but we trust the stat that 16 pct of americans have a positive view?

an article on one person? cmon

it seems like Chinese people have much more faith in their govt than Western countries, and subsequently trust them more in distributing the benefits of AI (in aggregate ofc)

Yeah, a shortage implies that the price of labor rises a lot

Not unimaginable, given that the bottlenecks seem to be concentrating on high-level direction, relational work, and expert verification

It's interesting that many developing and Asian countries have a more positive view of AI: https://www.politico.com/news/2026/06/15/people-around-the-w...

How much of this is due to AI vs. the government and corporate structures in society? (Saw elsewhere that Chinese people were also much more optimistic)

The frontier companies are building agents to automate work end to end (i.e. with decision power)

The tech takes a while to diffuse like any other but I think call centers don't have a great outlook

While I agree that AI is more salient, I feel like there was a ton of press about the "Algorithm" especially around social media and content, which is essentially "ML"

can you blame them? nondeterministic products have resulted in some of the most successful businesses of All Time (tiktok, reels, google search, product recommendations)

Computer use

unironically if those engineers were considered to be 'bloat' its better to have them label data because they are smarter and vetted

basically a soft layoff

"It’s literally the gulag" - okay this was a funny comment

its unclear to me why they need their model to be the best at coding (maybe to build an internal technical moat?)

its fantasy

scale ai's value prop was catching people like this

dont think the value of btc comes from its utility anymore

stables are much better for transactions anyway

its for the distribution, talent, proprietary data. spacex has the compute, and elon wants to win in AI.

tech forward f500 is possible (but.. even anthropic used fin)

most f500s are going to outsource. i think sierra is already at 40% of the f50? and each of those deals they have to compete against teams of inhouse engineers and convince execs to buy instead of build

the reality is agents at scale is a hard problem and most f500 engineers are not equipped to solve it

hmm not sure if that would hold up in court. i was thinking of this case: https://www.bbc.com/travel/article/20240222-air-canada-chatb...

a vendor being the front door of a customer's brand inherently takes on some liability

thanks for the source though i wasnt aware of that

yes, it counts as unresolved

personal info

maybe will be public soon with earnings calls? We’ll see!

An agent is self serve. Even better because they can disambiguate intent at the top level

The average person gets frustrated with finding instructions and forms, they just wanna say “give me a refund” and an agent can execute it autonomously

its very hard for most businesses, especially large ones, to build good agents (not the kind that does rag on a faq) that complete actions autonomously and cannot be jailbroken

demand for ai support vendors is going vertical this year