𝔪𝔦𝔠қ

saga’s journey to becoming an ai company is nearly complete

why is claude CONSTANTLY broken

Saga is bringing AI agents into production with studios, sports, and entertainment IP. At @EthCC, @beccaliao will break down what it takes to turn autonomous systems into onchain economic actors. 🗓 Mar 30 – Apr 2 📍 Cannes

come vibe with us

@notsofast i made the cut

huge props to @beccaliao for continually taking the time to address the status of crypto and give tradfi a picture into what's happening on the frontlines in our industry.

@DeeZe @apralky 1.5 kda on vi, the most braindead jng champ in the game. bro couldnt hit silveer with point and click cc. ggwp dork

@apralky He clearly didn’t have that dog in him

SBF’s League of Legends thing is actually pretty interesting. We know that Sam played a lot of the game. Here’s a screenshot from 2021 showing ~800 games in a single season (one year), which is a lot, anecdotally speaking. Each game lasts about 45 minutes, so that’s roughly 2 hours a day, every day, for a year. Sam also used to tweet frequently about the game (including about how much he played). Despite this, as you might be aware, he had an abysmally low ranking -- around mid-Bronze at the time. His username was known, so there’s not much uncertainty around this. Mid-Bronze corresponds to being lower than about 75% of all ranked players (probably charitable) -- which includes many casuals, as well as plenty of children who play the game. It used to take, if I recall correctly, roughly 10 games to get ranked in a season. Sam had nearly a thousand. So we know that Sam played a lot and seemed to care about getting better (direct quote: “I know I've said its name enough to imply I'm good at it, but I'm really not. It's actually embarrassing how little I've grown at it”.), but still fluctuated around the 25th percentile. This is fairly surprising to me, because League is decently g-loaded, and all of his other credentials imply he has meaningfully high general intelligence (Jane Street, MIT physics/math, 99.5th percentile as a reasonable base case for consensus?) If you’ve played the game, or MOBAs in general, you can probably tell that it’s decently g-loaded. The one peer-reviewed study that exists on this finds about a ~0.44 correlation between experienced League of Legends Elo and fluid intelligence (think matrix-based IQ tests). Here are some comparables so you can intuit whether that’s meaningful: > SAT ~0.82 > High school grades ~0.54 > Educational-context math achievement ~0.41 > Youth chess ~0.32 > Unranked chess ~0.32 > Ranked chess ~0.14 > Adult chess ~0.11 These numbers aren’t strictly comparable (different samples/corrections etc.), but they’re OK for intuition. So intelligence is roughly as predictive of League rank as of classroom math achievement, and quite a bit more than in any mainstream chess sample. Now, this is just one study with a sample of 56, and we’re doing serious hand-waving, so maybe that estimate is a bit off, but let’s assume for now that it’s broadly right (it doesn’t *sound* very wrong). What are the odds that someone with ~99.5th percentile fluid intelligence ends up at the 25th percentile in a game 0.44 correlated with fluid intelligence? With some naive assumptions -- roughly 2%. In that case, we should plausibly be able to find a non–cognitive-capacity source of the large residual, but I can’t really think of anything obvious. I think he played on the Japanese server, which would mean he’d have higher latency than normal, but I’ve played on comparable latencies and seen many do the same -- it usually doesn’t meaningfully move rank away from the normal counterfactual. Set aside some of the statistics for a second and move away from precision -- given all the uncertainty -- and think of a hypothetical with comparable but more intuitive tasks with similar loadings. Imagine a future MIT/JS guy who perpetually ranks at the 25th percentile in his average high school math class despite putting in effort, or one who spends hundreds of hours a year on chess and still ranks in the bottom 25 percent of a cohort (which should be less surprising given the meaningfully lower loadings). How surprised would you be? Actually, very? Maybe he had really bad motor skills? That seems unlikely for a trader, I’ve gotten tested on motor skills before in interviews. He seemed to consistently play only a few champions (characters), a lot of people underperform because they jump around too much, so that doesn’t explain it either. Some emotional/personality extremes, issues with frustration, etc.? Probably the most plausible ex post. But it would have to have been pretty bad -- the guy is bad at chess because he’s too emotional? That’s pretty bad. Something still feels off, and I assume we’re probably overweighing his g -- paired with tiger parent pedigree (2 Stanford Law profs, elite prep school) inflating the other meritocracy signals, this is probably a fair update.

@apralky most normal zyra jng na

Saga and Etermax bring Trivia Crack's Willy to life as an AI character agent | exclusive - gamesbeat.com/saga-and-eterm…

new phase starts now. lock in.

next phase loading, anon. paying attention?

@JoshMcGruff @ClaraMcGruff man… i’m feeling old. congratulations brother

Happy 8th Birthday to @ClaraMcGruff ❤️

@r0ck3t23 slop post

Elon Musk just said what no economist will: the entire system is about to break and nothing can stop it. AI and robotics aren’t generating growth. They’re destroying the scarcity framework economics depends on. Musk: “It will hit us like a supersonic tsunami.” Production compounds exponentially. Money supply grows linearly. Productivity sustaining permanent double-digit expansion. Numbers that sound impossible becoming baseline. Not evolution. Replacement. Musk: “Prices collapse hard.” Not decline. Implosion. AI strips out labor costs, eliminates production errors, removes every inefficiency keeping goods expensive. Manufacturing anything approaches zero marginal cost while quality accelerates. Governments will react on instinct. Print money. Inject stimulus. Playbook designed for scarcity economies colliding with abundance they have no framework to understand. Musk: “GDP metrics are already meaningless.” Every economic model assumes constrained labor, limited output, gradual improvement. AI doesn’t work within those boundaries. It deletes them as variables. Production explodes. Central banks flood liquidity. Prices collapse regardless because physical abundance scales faster than any monetary intervention can match. The production wave outruns policy response. Always. Deflation signals crisis in every historical model. But this isn’t demand collapse. It’s supply going infinite. The economy isn’t failing. It’s transforming beyond tools built to measure scarcity. Power belongs to whoever controls the systems generating unlimited output. Money becomes secondary when production costs vanish. Policy makers are steering with instruments calibrated for limits that stopped existing. This already started. And the people running things have zero answers for what happens when their entire profession becomes obsolete overnight.

@Icebergy optimists need a pretty clear win here. we literally need to be able to say 'yo ai solved ___ disease" this year. we've been huffing the ai hopium for a few years now, and all we got is the head of google saying ai is gonna replace all office jobs.

we're really about to solve a ton of diseases and a large percentage of complex human problems by building the biggest super computers the worlds ever seen but all my feed is "your life is over forever in a month"

where we're headed in 2026.

@ledgerstatus brother this was written by ai, and BARELY edited to hide it. it really is incredible tech but it’s just so hard to slog through a blog of slop these days.

Best post yet describing what we saw tonight for Zero

we're teasing what's next... lock in

computer make am app to 24/7 stream nts ambient playlists

BREAKING: COINBASE SUPER BOWL AD MASSIVE SUCCESS WITH AUDIENCES WHO STILL SAY “SUPERB OWL” AND “SPORTSBALL”

what on earth was coinbase thinking