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sankalp
@dejavucoder
monitoring frontier ai and the cultural pulse in real time check what the agent swarms are upto these days at
734 Following    27K Followers
literal hardest role to hire for rn and every ai startup wants someone. - chronically online but can still make eye contact with ppl irl - knows current trends and can do frontier shitpoasting - abg or abg vibes spiritually - has good taste, high aura and high motion - technical and understands ai (can RL post-train 1T param models, rawdogs flash attention 4 in 15 minutes) - can shill for our company's product non stop in interesting ways - good with people and conducting events - available sf/nyc onsite
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every few months, someone talks about taste. then a person who claims to have better understanding of taste call out the someone. then they will talk about their interpretation of taste. then someone will call out them for their interpretation and the cycle goes on.
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to offer any solace for being called meat-proxy, just imagine yourself as dr louise banks (amy adams) talking to the alien entities
this post had gotten some "meh" reactions from many people because they consider "trends" becoming uncool once they reach the marketing teams of hotshot startups and corpo companies. according to aura-nomics, the aura of a phenomena first increases and then rapidly decreases if there are excess reproductions over time. you can think of it as excess or overblown exposure. of course, there's a status element too and it's downstream of exposure. as more exposure happens, people you consider "less cooler" or "lower status" (for whatever reason) start to talk about the thing. the novelty also wears off and the phenomenon feels washed out (and timeline moves ahead to the next shiny thing by then). companies on X are usually late into this cycle compared to individuals followed by individuals and companies posting about it on linkedin (by that time it becomes cringe) here's a graph. there can be variations of course. i will probably post more aura-nomic lessons soon.
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Agentic Flynance. We trained a simulated fruit fly brain to review expenses by changing just 4,184 weights. A vision model reads the receipt, then the fly decides whether to approve it. Give it a fly 🪰
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ok thats an amazing reference.
how it feels using Ramp to clear a month of receipts
everything is interesting if you look close enough
wdym it was always silly
Calling it now: the trend of putting control flow in markdown for agents (skills, prompts, etc) is going to look *really* silly in a couple months
babe would you still love me if i was a worm ofc babe infact insects are more important than humans in aggregate
introducing dithered[.]dev 💜 crafted from scratch with delightful animation and motion a collection of 80+ icons and growing available in 3 different style (dithered, solid, outline) containing few unique categories like (dev / ml / learning) - install / copy / download svg - react support out of the box - shadcn compatible available on registry.
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my friend is asking why so much demand for sandbox as service startup and we were able to explain because of rl rollouts but why labs may take their service instead of doing it themselves. how can they sustain in long term.
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i am not a marathon bro yet but what i really like about them is they have marathons are held at different places so if you care about it enough, you travel too for marathon sake and meet more people leading to more human-maxxing and alive-maxxing
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gotta appreciate how dwarkesh doubled down on his interest/strengths
Dwarkesh at 17 years old btw
how i imagine my models
ugh i was busy so i didnt finish this drawing and now its too late so heres the sketch
Reading a Pretraining Run ( In which we systematically summarize the metrics used for monitoring pretraining runs, containing definitions, default cadences, and alert priorities (P0/P1/P2) for the most critical signals 🏃🏃🏃
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doing my chores like laundry then putting clothes one by one on hanger then making chai on a sunday noon is my pause chai i mean pause ai moment
jeff dean sensei poaching researchers from left right and centre
new blog on my explorations @ prime residency "Honey, I Looked at the Data of a Frontier Benchmark and Found some Issues: Porting Agents' Last Exam Linux CLI subset to Verifiers v1" is up now. got to work with florian (@xeophon) as my verifier on this.
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