Victor Shao (@victorshao) 's Twitter Profile
Victor Shao

@victorshao

Building in energy. Formerly @doordash @amazon. @NorthwesternU alum

ID: 89512832

calendar_today12-11-2009 18:56:50

2,2K Tweet

718 Takipçi

973 Takip Edilen

Victor Shao (@victorshao) 's Twitter Profile Photo

Just sent out the first beta invites to our platform. Slightly but not too embarrassed about the product. More to come soon...

Victor Shao (@victorshao) 's Twitter Profile Photo

can’t help but think that Reddit trolling in training datasets has nerfed long-term 100% reliable, professional behavior of course it hallucinates the Simpsons 🤣

Victor Shao (@victorshao) 's Twitter Profile Photo

this feels like some bullshit anchoring on "extremely bad" so that the final bill ends up still terrible 👎👎👎 we need more energy. give the market some predictability, don't force a cliff, and let them cook

Tyler Norris (@tylerhnorris) 's Twitter Profile Photo

The problem isn’t “ending subsidies.” It’s: 1) Abrupt termination after major capex is already sunk 2) Cutting eligibility at an arbitrary in-service cliff, blowing up project pipelines 3) Imposing extreme, unworkable FEOC rules that ignore supply chain realities 4) Slapping an

Kanary (@hellokanary) 's Twitter Profile Photo

Shout out by the NYT Wirecutter! Yes, deleting yourself from the web is HARD. Most people have to balance exposure and safety. Can't just disappear👻

Victor Shao (@victorshao) 's Twitter Profile Photo

45 days for Treasury & Interior to review & issue guidance on credit phaseout including safe harbor, FEOC, and BLM/federally owned land policies EO here: whitehouse.gov/presidential-a…

Rihard Jarc (@rihardjarc) 's Twitter Profile Photo

An interesting comment from a Former $META employee. ENERGY is the biggest bottleneck right now. Even if $META wants to spend $100-$150B on CapEx for AI infrastructure, they can't. It is not just $NVDA. Transformers, power equipment, cooling equipment, and the availability of

An interesting comment from a Former $META employee. ENERGY is the biggest bottleneck right now.

Even if $META wants to spend $100-$150B on CapEx for AI infrastructure, they can't. It is not just $NVDA.

Transformers, power equipment, cooling equipment, and the availability of
Victor Shao (@victorshao) 's Twitter Profile Photo

a lot of chatter on how AI is transforming large orgs it's amazing what it can do for startups getting started today we go straight from customer feedback to new feature in production within minutes / hours. no PMs, no designers needed... polish can come later