Sarah Guo

Congrats on IPO day to @andrewdfeldman, @ericvishria and my many friends on the cerebras team/cap table. amazing story of resilience, technical innovation, luck and some very long term bets

anyone 20-30 in SF want to be in dating app ad tomorrow eve?

The starting premise @Conviction was that AI (general models at scale) were a broad shift in computing. This has come to pass But the way AI benefits many users more powerfully is going to be more distributed product/research work, in partnership with humans who do the work

2026 prediction: the inference hunger of long-horizon agents will drive a large number of domain-focused AI companies to post-train. coding was just first

.@ScottWu46 giving me, @mvernal & @pranavreddy a pre-launch Devin demo in the living room of a weird house in Palo Alto will forever be etched in my memory. Read this @colossusmag profile on Scott, the special team @cognition, and predicting the future https://t.co/iiGrdz7fsR

the fud will really get you if you don’t do real diligence these days. more shenanigans in fundraising than I’ve ever seen. stay safe friends

"if we have all the compute, good luck running inference" from new @NoPriorsPod with @tuhinone, founder @baseten on the new AI compute landscape. full interview linked https://t.co/WsrJkgQql9 Youtube https://t.co/FOkMkj7vkF or anywhere you get podcasts

LAB is the first long-horizon, open-source legal agent benchmark, from @harvey. it will help legal teams answer "what can legal agents do today?", plan deployment, and design human-agent cooperation. autonomous legal is a deep domain, and a good benchmark can accelerate progress

it's always caching or dns

when your friends “don’t know anything” https://t.co/w5fIXej1dO

Excited to speak at my friend @erikbryn’s ECON 295/CS 323 class at @Stanford today. Questions? https://t.co/luKB6QoSsG

Total customer service fail from @apple. Never paying for AppleCare+ plan again. I requested replacement — but my model is not in stock. No communication. Was charged the service fee, 20 days and many phone calls later, no ETA on new phone (and can’t just choose a different one).

.@gradypb opening @sequoia AI Ascent event. This is AGI! advice for founders competing w/ the labs for the $10T of market opportunity: 1. get MAD (Moats, Affordances, Distribution) 2. approach every part of the merchandising cycle customer-back (rather than technology-forward) https://t.co/ECFzSRlWlT

the dazzling phase of seeing brightly, from Plato / flowers for algernon

bet on dylan field

I act, therefore I am

you could not do better than to work with @johnolilly @schrep

“These results suggest long-horizon ML research engineering is a systems problem of coordinating specialized work over durable project state, rather than a purely local reasoning problem” https://t.co/gwToG5QZXZ putting aside the dominant “monolithic ai” narrative, entire research field discovering/conceding solutions will be systems+model, not just model https://t.co/ZeL1eu6gBV

good post. human skill still needed for now!

I believe AI will deliver enormous gains to the global consumer: better products, better services, better healthcare, and tools that make ordinary people more capable, even superhuman. The upside is so large, and the geopolitical stakes so real, that we should move decisively toward it, not choke it off. But people do not experience technological change as an aggregate statistic. They experience it through their bills, their communities, and their jobs. So the issue is not whether AI will create value. It will. The issue is whether the path to those gains asks particular communities and workers to absorb too much of the cost upfront. The i…

feeling iconic, thanks team @nvidia https://t.co/L0PhtRSy5K

Takeaways from fireside @tuhinone @baseten did w/ @tsgiles at HumanX: - AI infra market still early - AI-native companies are post-training to achieve frontier quality-for-less/faster - inference is supply & talent constrained market - systems problem - customer centricity wins https://t.co/khcki27dHk

who do I know that is working on indoor drones, gps denied

Even when people talk to me now, I hear slop tone

Huge!!! Character consistency ✅

my goodness mythos

what cool ai folks in AI/investing in Singapore?

when do we see self-improvement in AI research vs. biology? @LiamFedus, Cofounder @periodiclabs and former lead of post-training OpenAI, on @NoPriorsPod https://t.co/NdyTDy1ynR Full interview: https://t.co/qj8vg88IHI Or anywhere you get podcasts

at least the things that really hard about your startup are likely to be hard for anyone coming after your startup, too

.@gabepereyra is consistently early. intelligence is getting cheap, but judgment / coordination are $$. @harvey has an agent that picks up work off incidents, bug reports, and slack msgs on its own — and getting work done faster than anyone can review. they are AI-native, but the pace is still hitting them in the face most companies were not built for this, and they're next Spectre haunts her enemies everywhere https://t.co/stEWsBkCvr