Clayton retweeted
you don’t hire interns because they’re gonna ship mad features
Every intern is an investment in a future hire. Perhaps A modern day apprenticeship.
You don’t hire juniors cause you need that extra 2-3 bug fixes per day. You hire juniors so you can turn them into seniors
When you say “ai will replace juniors” all you’re telling me is you don’t understand mentorship in software careers, or you think of every engineer as a ticket factory.
We do need to rethink how we upskill this new generation of SWEs though. The best engineers are great at AI (coding, context eng, etc) and great at software engineering - (systems, algorithms, debugging, architecture)
More seniors are good at the latter, more juniors are good at the former, but a lot of ai coding takes away the “friction” which, as @badlogicgames so helpfully pointed out, is where you learn
Clayton retweeted
we kinda hit that slop wall in December after doing Ralph and blind RPI all of H2 2025. So this hitting around late April early may tracks.
Lmk if you wanna know what’s next
Clayton retweeted
The Bridge Across: ACX Token-to-Equity Exchange & Buyout Proposal is now live.
This proposal seeks approval to transition Across Protocol from a token-based DAO structure to a U.S. C corporation.
$ACX token holders have 7 days to vote.
Vote here: snapshot.org/#/s:acrossproto…
Clayton retweeted
$5,000 an hour. for sunlight. from space.
a startup putting 50,000 mirrors in orbit to sell sunlight anywhere on earth
I thought this was the dumbest idea Ive ever heard
then it clicked
- firefighting aircraft get GROUNDED every night at sunset. pilots cant see terrain. fires burn unchecked for 10 hours straight.
and heres whats wild - water drops are 60% more effective at night. cooler temps. less wind. but nobody can fly.
light up the fire line from orbit. let them work. the US spends $3-5B a year fighting wildfires. this is a rounding error.
- a single late frost in Napa or Florida citrus can wipe out an entire season. $854M in frost losses last year alone.
but the crazy part - the real buyer isnt even the farmer. its the crop insurance company trying to avoid a $500M payout by spending $50k on a few hours of orbital sunlight
- fog costs London Heathrow over $100M a year in delays. fog burns off when sunlight hits the ground. you speed that up by 30 minutes and the value per hour is $500K-$1M. $5k/hour is pocket change
- military forward operating base at night? forget night vision goggles. just light up the whole compound from space and go get it
- 4 million people above the Arctic Circle live in MONTHS of total darkness. depression. productivity drops. everything slows down. you could give entire communities twilight during polar night
- 150,000 babies die or get brain damage every year in developing countries from jaundice because the cure is literally just light and they dont have electricity for it.
beam it down from orbit. no power grid needed.
I went down this rabbit hole for an hour and every use case is more insane than the last
260,000 people from 157 countries on the waitlist. each dropping $1,000-5,000. Sequoia backed them - first space investment since SpaceX. the Air Force already signed a contract.
mirrors weigh 35 lbs and theyre the size of a basketball court. 4-10x brighter than a full moon. built by a 28 year old ex-SpaceX engineer.
this went from "dumbest thing Ive ever seen" to holy shit in about 10 minutes...
Clayton retweeted
Fortune reporter Beatrice Nolan found close to 3,000 unpublished Anthropic files sitting in a publicly searchable database. No hack. No insider. The software Anthropic uses to publish blog posts sets everything to public by default, and nobody flipped the switch to private.
One of those files was a draft blog post announcing “Claude Mythos,” which Anthropic’s own writing called “by far the most powerful AI model we’ve ever developed.” Two independent security researchers found the same files separately. After Fortune flagged it, Anthropic pulled access and called it “human error.”
But I keep coming back to what else was in that draft. Mythos is also referred to as “Capybara,” a brand new tier of AI model that sits above Opus (their current strongest). Anthropic sells three sizes right now: small (Haiku), medium (Sonnet), and large (Opus). Capybara would be a fourth. Bigger. More expensive. And apparently so good at finding security holes in software that Anthropic’s own draft warns it’s “currently far ahead of any other AI model in cyber capabilities.”
That last part matters. This is the third time in two months a major AI lab has said one of its own models could be dangerous for cybersecurity. OpenAI said the same thing about its coding model in February. Anthropic said it about Opus 4.6 the same week. Mythos goes further. The leaked draft warns about “an upcoming wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders.” And this isn’t theoretical. Anthropic reported in November that Chinese government-linked hackers had already used Claude Code to attack roughly 30 organizations before getting caught.
The timing of this leak is wild. Same day, a federal judge blocked the Pentagon from blacklisting Anthropic. (The Pentagon had tried to label the company a national security threat, basically banning any military contractor from using Claude. The judge called it “Orwellian.”) Same day, Bloomberg reported Anthropic is considering going public as early as October. The company was valued at $380 billion six weeks ago after raising $30 billion in a single round.
Three massive stories. One 24-hour window. Anthropic confirmed the model exists and being tested by a small group of customers. Their word for it: “a step change.”
Disclose.tv@disclosetvMar 27🇩🇪
GermanyConnected via Germany App StoreAccount-level information, not a live location or per-post device.
JUST IN - Leaked documents from Anthropic show that a new generation of super-strong models, "Claude Mythos," is already in testing with Anthropic believing it "poses unprecedented cybersecurity risks." — Fortune
Clayton retweeted
Replying to @mert
Vibe coding is the modern spaghetti code monster a team of devs has to solve in 10 years when it became a company
Clayton retweeted
Across Protocol wants to become a private company 👀
@paradigm-backed @AcrossProtocol posted a temperature-check proposal exploring a move from a DAO to a U.S. C-corp where ACX holders could exchange tokens for equity.
If approved by the community, holders could either
• exchange ACX for equity at a 1:1 ratio, or
• redeem tokens for $0.04375 in USDC, a 25% premium to the one-month average price.
ACX is already up over 33% since the proposal.
Clayton retweeted
Proposal: “The Bridge Across”
A temp-check exploring whether Across should evolve from a DAO + token structure into a U.S. C‑corp. via a token-to-equity exchange and token buyout.
Thread and proposal below ⤵️
Clayton retweeted
This story is actually insane:
• dude drops $2000 on a DJI robot vacuum like a lunatic
• refuses to use the normal app like a peasant
• Sammy Azdoufal fires up Claude to crack the API so he can drive it with an xbox controller
• Claude delivers the goods
• pulls an auth token from their servers, connects successfully
• except the system thinks he controls 7000 vacuums
• checks again
• yep, seven thousand
• DJI built authentication with zero device ownership verification
• any valid token works for any unit on the planet
• Sammy now has eyes inside homes across 24 countries
• live vacuum camera feeds everywhere
• full floor plans from the mapping data
• some guy in germany eating cereal at 3am, unaware his roomba is snitching
• one API call away from being the most informed burglar in history
• all he wanted was to steer his vacuum with a joystick
• does the right thing and reports it
• DJI fixes it in two days
• back to normal life with his stupidly expensive floor cleaner
• IoT companies stay undefeated at shipping garbage security
if you're good at what you do, you should reject the permanent underclass theory.
here's why: ai does two things simultaneously
makes you >1: it acts as a proprietary "means of production," allowing one person to handle the output of an entire team. this empowers individuals to operate as solo capitalists -- and get paid for outcomes rather than inputs (their time).
equally,
companies need <1: as ai automates routine cognitive work, companies no longer need W2, 40-hour-a-week humans for every role. they shift from buying "employees" to buying "outcomes," preferring to "rent" high-level, fractional expertise to reduce fixed costs.
the outcome is: you are now in the movie industry. everyone is freelance and the best professionals will just work for multiple companies simultaneously.
companies of one are simply the vehicle to achieve this + an investment vehicle to leverage your earned insights
solo capitalist 2.0





























