Sarah Guo

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

Looking for TS cleared engineers that want to work on a funded, urgent startup with big mission and killer people. Must be willing to live in CA, WA, HI for now DC probably also ok

https://t.co/uDSy94crNl

Rundown of the very bad week in security: - TeamPCP (sophisticated hacking group) attacks: Hackers broke into the system that builds a oss popular security scanning tool called Trivy. This was a supply chain attack (when bad code is slipped into widely used software tools or libraries, so it spreads automatically to anyone who downloads or uses them). They used the stolen access to poison other tools like LiteLLM (a popular Python gateway library with ~100m million monthly downloads that lets developers easily call many different AI models through one simple interface) and Telnyx (a comms platform, that for example lets devs make phone calls …

Brutal week for security teams. These aren't failures of negligence, but what happens when systems/processes work as designed and still can't be explained end to end. This is an industry-wide, structural problem. We're entering an era of software abundance, and shipping before you fully understand what you've built isn't a character flaw. It's how you compete! But there's a gap between 'we move fast' and 'we cannot tell you what our system did with your data last week.' New essay: Dark Code

I know its "another tuesday" guys, but what(!) is happening in security right now

far and away, the best prize life has to offer, is the chance to work hard at work worth doing (Teddy Roosevelt) ^^more important than ever to consider seriously what prize you’re playing for

Whoaaaaa

nobody can learn for you, not even your agents

what a queen

Wow! Beginning to believe in procurement reform now 🇺🇸

if you’re a startup in 2026 and you don’t have a “labs” group, you might as well be enterprise SaaS

Boom Loop 🔁

“most people have no idea what to do with AI” TikTok/Facebook is perhaps the most poignant example of “the data the biggest companies have that they think of as their moat…is not the moat”