Aishwarya Mahesh
@ash_locked
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curr @TradeADMIS, @METalumni assoc president 🌱 lets talk ai, energy, environmentals, and markets (all opinions here are my own)
San Francisco, CA
Joined February 2016
Too often, AI and energy conversations happen in separate rooms. That gap inspired @themeghamachine and I to launch the Watt & Why Series ⚡ Excited to kick this off and big thanks to @CrusoeAI and @SemiAnalysis_ for co-hosting the first session. A space that brings everyone
Come join the #ADMIS Houston Team Oct 16! Watt & Why: Energy x AI Talk in San Francisco 🌉 A special session on how hyperscale data centers reshaping power systems in our AI future. Seats are limited. ➡️ Request to join: https://t.co/1J2QkNFsCl
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the kind of work that bridges ai research and energy systems!
Data centers dominate AI, but they're hitting physical limits. What if the future of AI isn't just bigger data centers, but local intelligence in our hands? The viability of local AI depends on intelligence efficiency. To measure this, we propose intelligence per watt (IPW):
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BBG: Anthropic commits $50B to build custom AI data centers across multiple US locations including Texas and New York. Partnership with UK-based Fluidstack Ltd will bring sites online throughout 2026, creating 800 permanent jobs and 2,400 construction jobs. First major data
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If you haven’t read Warren Buffet’s final shareholder letter yet, I’d suggest at least to read this last bit …
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“According to data from Wood Mackenzie, by 2030 SMRs should generate power at $182 per megawatt hour compared with $133 per megawatt hour for conventional nuclear. Natural gas is expected to sit at $126 per megawatt hour, while onshore wind and solar, backed up by battery, are
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if you value intelligence above all other human qualities, you’re gonna have a bad time
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We hosted the M.E.T. Alumni Welcome Event in SF this month—and the energy was amazing! Huge thanks to @_shreya_s and @GreylockVC for hosting M.E.T. alumni at their SF office. 💙💛
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I’m honored to be selected for the 2025 @TIME 100 Climate list – and thinking of home. In Western North Carolina, where I grew up, families are still rebuilding after Hurricane Helene. My own was fortunate; others weren’t. Their stories are a reminder of why this work matters,
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Keep your eyes peeled for more đź‘€
Recently, our #ADMIS Houston team hosted the inaugural Watt & Why discussion in San Francisco co-hosted with @CrusoeAI and @SemiAnalysis_. The event brought together attendees from AI researchers to power traders. Grateful to everyone who contributed to this candid conversation!
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Full quote from that section. OpenAI heads of infra also said a similar thing about their loads being flexible earlier this year at Yotta. “Our data centers are designed to be curtailable—reducing their draw or even returning power during peak demand, helping to protect
In a clarion call to @WhiteHouse, @OpenAI urges @FERC to enable "connect & manage" for large loads to speed interconnection and enable more use of existing capacity, praising @SecretaryWright's letter. "Our data centers are designed to be curtailable." https://t.co/6n2S1Yd6G3
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Load in the ERCOT north weather zone grew a lot this past year* and the additions appear to be quite flexible *Data is not weather normalized (which would make the growth even higher 🤠)
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đź§µ i fell down a rabbithole on the energy bottleneck on AI scaling, and wrote an essay to help me think through it i'm just a SWE who doesn't work in energy or AI infra at all, but the dynamics here are wild n i wanted to share what i learned
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For all the data center energy folks: take note of "a shift from being all reactive to being significantly proactive" These is the kind of inference with lower latency demands that can be responsive to grid needs for dispatchability / flexibilit
Today we are launching my favorite feature of ChatGPT so far, called Pulse. It is initially available to Pro subscribers. Pulse works for you overnight, and keeps thinking about your interests, your connected data, your recent chats, and more. Every morning, you get a
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Come learn how to build a data center from the ground up! (and yes, we gals were crazy enough to go do it ourselves)
the US power grid build: $230m in funding in 1935 vs: $3-4trn in expected datacenter infra spend this decade @CrucibleCap report on datacenter development w/ collab from @eden_ @doublezero @GigaEnergy_ @get_hydrahost dropping soon join us in NYC IRL Oct 2nd (link in reply)
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