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The math release gets organized pushback
The day after OpenAI published results from an unreleased frontier model, the response turned from awe to opposition. Exponential View put the release at 722 manuscripts in 372 families, averaging the equivalent of three hours of ChatGPT Pro thinking each. It noted that many results have been verified in Lean, but not all . The same post floated a split into "machine mathematics," verified but mostly read by AIs, and a smaller human "effective theory" of what people can understand .
Terence Tao reposted a statement from the Association for Human Mathematics . It urges mathematicians to "discontinue their work with OpenAI and to return to a vision of science that centers human understanding" . One commenter pointed out that the repost does not necessarily reflect Tao's own view .
The investor angle comes from Leo Polovets. He asks whether organizations will start "tokenmaxxing" research, for example a seed fund spending $50K or UPS spending $500M on tokens to find better routing algorithms . His reasoning: AI's R&D impact so far has been mostly on development rather than research. If compute can produce genuinely novel results, the right AI budget for some organizations could be much larger than they now assume .
A related data point: P0 Research reports that frontier models' "experimental research taste" has doubled roughly every three months since December 2025. It says Opus 5.5 now beats its expert human baseline, though most of those experts have not worked at a frontier lab .
Models: GPT-6 for everyone, cheaper Haiku
OpenAI is rolling out GPT-6 and "Intelligent UI" to all ChatGPT users. The new UI turns answers into interactive visuals and tools .
Anthropic released Claude Haiku 5.5, saying it costs about 75% less to run than Haiku 4.5 . Early reviews are mixed:
- Jerry Liu: for document parsing it costs about $1.20 per 1,000 pages and handles tables and reading order well for that price. It is weaker on charts, semantic formatting and bounding boxes .
- Bindu Reddy: calls it "MUCH worse than DeepSeek" and worse than Luna, but gives no benchmarks .
Separately, Anthropic's startup program offers up to $7,000 in Claude credits for a year . A Reddit commenter flags terms worth reading before applying. These reportedly allow Anthropic to develop competing technology, bar using the services to build competing products, and let Anthropic change the terms without notice. This is one commenter's reading of the terms, not verified here .
Power is the bottleneck: Texas freezes data-center permits
a16z reports that Texas has frozen new data-center permits. The large-load queue went from 63 GW to 474 GW in 18 months, more than 5x record peak demand. Only 9.5 GW is approved and about 4.3 GW is running . ERCOT has also paused approvals for data centers of 75 MW or more to switch on, including 17 that had finished every other step. The timeline is "TBD," and full grid connection can take 5–10 years .
Behind-the-meter power is a bridge rather than a replacement. SemiAnalysis tracks 75 GW of equipment orders for on-site power, but sites still plan to connect to the grid because on-site power almost always costs more . a16z also argues that data centers willing to cut usage at peak hours could add 100 GW to US grids without new plants . For scale, US grid additions planned this year total 86 GW: 43.4 GW of that is solar and none is new nuclear .
a16z's Ryan McEntush sees two ways for startups to break in: winning on integration or business model (Base Power), or bringing better technology (Heron Power's solid-state transformers) . His diligence point is that big firm orders rarely go to equipment without thousands of operating hours. So getting designed into a real project "matters far more than early deposits or revenue" .
The same day, a16z said Base Power raised $2.5B. Three years in, the company says it built a battery factory in 8 months, installs 100 batteries a day and powers more than 30,000 homes .
Agents move to the desktop, and gatekeepers resist
Sriram Krishnan described Microsoft's new Windows agent features :
- MXC containers: a local sandbox where agents run.
- Hybrid routing: actions can run on local models or be sent to cloud models.
- Copilot agents: one demo did taxes with no remote models.
- Hardware: a new generation starting with Surface Laptop Ultra and Nvidia RTX Spark.
Replit launched a Windows desktop preview that builds apps locally, with each build sandboxed using Microsoft Execution Containers and Nvidia OpenShell . Amjad Masad cites supply-chain attacks and catastrophic agent mistakes as the risks this design addresses .
On consumer agents, a guest on an Alexandr Wang–hosted interview described Muse's plan to bring agents to non-coders, whom the industry largely overlooked . Muse is free with subscription tiers and is exploring small fees on purchases or savings it facilitates rather than ads .
Paul Graham argues that Amazon banning agents is the first opening he has seen for a startup to build an Amazon competitor . More generally, he says any business that bans agents shows there is demand for a competitor that allows them .
Deals and funds
- HealthLeap: raised $38M across Seed and Series A from Sequoia, First Round and Hummingbird. It reports 39% more appropriate diagnoses with the same staff at Cedars-Sinai, and growth from 3 to 50+ hospitals in a year .
- Vitalize Care (YC W23): raised a $31M Series A for hospital staffing software. It says it manages millions of shifts a week across 15+ health systems, and that St. Luke's cut overtime and agency spend 54% in 12 weeks .
- Preference Model: a16z invested. The company builds RL environments for AI research and ML engineering for leading labs, and is open-sourcing Karotte, a framework it says was hardened over more than 1M evaluation runs .
- Sriram Krishnan: raising a $500M VC fund, per Axios via Dan Primack .
- a16z Japan: a16z opened a Japan office led by Hitoshi Yoshida, former president of Microsoft Japan and HP Japan. It is targeting AI, cybersecurity, robotics and defense .
Early-stage market read: Hustle Fund's September numbers
- Volume: Hustle Fund passed on 1,901 of 1,922 pitches, with 21 still in progress .
- Top pass reason: incorporation, at 47%. The firm wants Delaware C-corps or Canadian or Singaporean equivalents .
- Valuations: about 70% of founders sought valuations under $10M .
- Categories: 38% self-identified as AI/ML .
Tooling and science
- Perplexity: open-sourced pplx-embed-v2-late, multimodal embeddings in 9B and 0.6B sizes that share one embedding space. It enables OCR-free PDF search and querying on the device .
- OpenDocRouter: LlamaIndex launched a unified document-parsing API that serves models at cost plus a small transaction cut .
- OCR copying allegation: Vik Paruchuri alleged that Interfaze's new open-weight model copied and relicensed Chandra OCR 2 . This is an allegation, not established.
- AlphaGenome: DeepMind says it matched or beat the strongest comparison model on 25 of 26 variant-effect benchmarks . Its Atlas precomputes effects for about 9 billion single-nucleotide variants and is 30x the size of the AlphaFold database . Linking these molecular predictions to disease risk still needs more research .
- Angel Studios’ AI workflow includes vibe-coding product prototypes, using a collaborator to take promising experiments to MVP before handing them to the product team, and applying brand-guide harnesses across models; engineering adds harnesses when experiments break things. The team also built a tool that randomly serves different movie trailers to measure responses, and Harmon said AI speeds attrition and lifetime-value modeling when the data is clean.
- Harmon framed agentic shopping as a possible distribution opportunity: he said he was searching with Grock rather than Google and argued that businesses with APIs AI agents can use may reach shoppers who prefer buying through bots.
- Angel used a 19-minute skippable YouTube ad to pitch The Chosen; 17,000 people invested $11 million, with $800,000 in ad spend—described as just under 8% of the raise—and livestream pop-ups showing contributions as social proof. The roughly 3-million-member Angel Guild votes on films, can veto titles and gives feedback on rough cuts; Harmon said it had paid $300 million to filmmakers. As a financial caveat, the host cited a roughly $50 million loss the prior year; Harmon said marketing was a big expense and acquiring members was not cheap.
- The interview presents Muse as a breakout consumer launch: its opening touts 5 million downloads in 22 days, the host calls it the fastest-growing consumer tool since ChatGPT, and the guest says the team did not expect it to become a hit.
- Muse’s product strategy is to bring agent task completion beyond coders through a polished consumer experience; the guest reports use cases including cutting subscription costs, finding unused gift cards, navigating DMV and healthcare/medical-claims processes, and helping with small-business or social-media work. The longer-term ambition is a general-purpose assistant that helps people accomplish goals large and small.
- Muse is free and has subscription tiers; the guest says the team is exploring small fees on transactions where Muse helps users buy, save, or earn money, and is not spending much time on advertising currently.
- The guest says agent memory remains an unsolved problem and describes Muse’s current safeguards as a sandboxed secure VM, a sentinel monitoring information sent outside it, and user approval prompts for new websites or information sharing; a more confidential VM was planned, with possible speed trade-offs. He agrees that consumer trust can matter more than further increases in raw capability.
- On the broader AI ecosystem, he identifies safer, more generalizable algorithms as a promising direction with multiple startups working on it. He said broader AI-leader discussions were not happening in a private room at the time, while describing a White House accord for company-defined controls with internal, external-auditor, and board-level verification.
- Beyond consumer chatbots, Ng sees substantial enterprise opportunity in selecting and implementing AI workflows: banks may automate parts of loan underwriting and KYC, but identifying valuable, feasible uses and building reliable, tested, compliant, secure, private systems takes considerable work. He expects this implementation work to continue for at least a decade.
- AI-assisted coding is lowering the barrier to building custom software; Ng says software-engineering job postings are up and that AI-native engineers are scarce, while the required skill set has changed.
- Ng says open-weight models are widely used in developing countries to provide access without large budgets or dependence on continued outside access; they also let universities and local teams study models and adapt them to regional languages and use cases.
- Capability caveat: Ng says AI progress is faster on verifiable tasks such as coding, math and factual answers than on judgment-heavy work, which is also harder and more expensive to benchmark. He cites a task-based estimate that perhaps 30–40% of work in many jobs could be automated, while the remaining human work may become more valuable, increasing the need for upskilling.
- In education, Ng says chatbot use for homework can raise homework scores while lowering final-exam scores or measures of long-term learning; he is optimistic about AI learning products built on sound pedagogy and more personalized, one-to-one instruction instead.
- Ng argues that data centers are an important enabler of AI adoption and calls AI key economic infrastructure, making this a time to invest in technology.
- Texas’s large-load queue grew from 63 GW at the end of 2024 to 474 GW by June 2026, about 90% of it data centers and more than five times record peak demand. The state moved from directing data centers to pay for grid upgrades to freezing new permits; ERCOT also paused activation of data centers at least 75 MW pending an audit, including 17 projects that had completed its other steps.
- a16z presents peak-hour curtailment as a way for data centers to connect sooner, claiming U.S. grids could add 100 GW of such load without building a new plant. Separately, the accompanying article cites a Duke estimate that ERCOT could add about 10 GW without new generation if loads gave up 0.5% of annual grid electricity, setting transmission limits aside. ERCOT’s Batch Zero process offers large loads options to bring their own power or accept automatic curtailment when lines are full.
- Behind-the-meter power is a growing infrastructure market: SemiAnalysis is tracking 75 GW of equipment orders, although the article says sites generally intend to connect to the grid when available because on-site power usually costs more. The article identifies startup openings in integration and business models, exemplified by Base Power’s aggregated home batteries, and differentiated hardware, exemplified by Heron Power’s solid-state transformers. It cautions that first-phase adoption is difficult for new vendors: buyers favor equipment with thousands of operating hours, making design-in to a real project more important than early deposits or revenue.
- Texas froze new data-center permits after its large-load queue grew from 63 GW to 474 GW in 18 months—more than five times record peak demand. Only 9.5 GW was approved and about 4.3 GW was operating; a16z says the remaining requests include duplicates and speculative projects, some from developers who have never plugged in a GPU.
- Power availability is a deployment bottleneck: full grid connections can take 5–10 years, and ERCOT paused approvals for data centers of 75 MW or more to switch on—including 17 that had completed other steps—pending an audit, leaving the timeline TBD. Developers are pursuing behind-the-meter power; SemiAnalysis was tracking 75 GW of equipment orders, though a16z says the sites it knows generally still plan to connect to the grid because on-site power usually costs more.
- The potential buildout is large: a16z’s illustrative scenario of 100 GW running year-round equals 876 TWh, about one-fifth of 2025 U.S. electricity use; planned 2026 solar, wind, and gas additions would produce about 150 TWh annually at the cited capacity factors. The article argues that flexibility can help, but cannot eliminate the need for more generation and wires.
- Startup openings include integration/business models and differentiated grid hardware: Base Power’s fleet passed ERCOT pilot tests on its first attempt and was expanding to 50 MW; Heron Power’s solid-state transformers were set for a West Texas pilot with RWE. The source cautions that new power-equipment vendors face a hard qualification hurdle: large firm orders rarely come before thousands of operating hours, making design-in to a real project more consequential than early deposits or revenue.
- Texas illustrates a near-term AI infrastructure bottleneck: ERCOT’s large-load queue grew from 63 GW at the end of 2024 to 474 GW by June 2026, about 90% of it data centers; the state’s response escalated from requiring projects to pay for grid upgrades to freezing new data-center permits. ERCOT also paused energization approvals for data centers of 75 MW or more pending an audit, leaving the Batch Zero timeline “TBD” and the load forecast on hold; full grid connection can take 5–10 years.
- Developers are pursuing behind-the-meter power to accelerate time-to-power: the article says SemiAnalysis was tracking 75 GW of equipment orders for these assets, while noting that known projects generally still intend to connect to the grid because on-site power usually costs more. Flexible demand—such as cutting load or shifting computing—could help accommodate new data-center capacity.
- The analysis identifies power equipment as a startup opportunity through either integration and business-model innovation (such as aggregated home batteries) or differentiated technology (such as solid-state transformers). It cautions that shortage-driven “worse but faster” offerings may lose out if supply catches up, and that new vendors face a track-record hurdle: getting designed into a real project matters more than early deposits or revenue.
- a16z’s post cites a U.S. study finding that each 10% increase in data-center capacity corresponded to a 40-basis-point decrease in residential rates, reasoning that large customers can spread fixed grid costs across more electricity sales. The benefit depends on who pays for grid upgrades, however, and 56% of Texas voters say more data centers would raise their power bills.
- AlphaGenome predicts the effects of genomic variants. It operates at base-pair resolution across a context window of up to one million base pairs; the interview reports it matched or beat the strongest comparison model on 25 of 26 variant-effect benchmarks.
- AlphaGenome Atlas precomputes molecular-effect predictions for roughly 9 billion possible single-nucleotide variants in a petabyte-scale dataset, described as 30 times the size of the AlphaFold database. The Atlas is made available to the scientific community; AlphaGenome model weights are available for academic research and fine-tuning.
- A key translational caveat is that AlphaGenome predicts molecular phenotypes; connecting these to whole-organism traits or disease susceptibility still requires further research. The team also identifies cell-context awareness, more training data, and linking molecular predictions to organism-level effects as ongoing work.
Paul Graham says Replit is more important than he had previously thought: AI-powered apps can make organizations somewhat aligned with AI, but he sees code as the route to the deepest organizational change.
- Paul Graham argues that Amazon’s ban on agents creates an opening for an Amazon competitor: he expects agents to become a major way people buy goods and says shoppers may not want an Amazon-supplied agent doing it for them.
- More broadly, he treats companies’ agent bans as a startup opportunity, reasoning that restrictions imply users want agents and may create demand for competitors that allow them; a nested reply sums up the thesis as “Your usage restrictions are my opportunity.”
- Texas is a major AI-infrastructure bottleneck: ERCOT’s large-load queue grew from 63 GW at the end of 2024 to 474 GW by June—more than five times record peak demand, with about 90% attributed to data centers. Speculative multi-site applications and concern that ratepayers could fund upgrades for projects that never materialize contributed to a pause that escalated to a freeze on new data-center permits. ERCOT also paused approvals for data centers of 75 MW or more to switch on pending an audit; 17 projects that had completed other ERCOT steps were caught in the pause, with timing listed as “TBD.” Full grid connection can take 5–10 years.
- Developers are turning to behind-the-meter power to reduce time-to-power, but the article says sites generally still plan to connect to the grid because on-site power almost always costs more; islanded power also brings reliability and fuel-supply challenges.
- Startup opportunities include grid flexibility and differentiated power hardware: a Base Power fleet with GVEC passed ERCOT pilot tests to sell into the wholesale market and is expanding to 50 MW, while Heron Power is set to install solid-state transformers at a West Texas battery site with RWE. The article identifies integration/business-model innovation and new technology as startup entry points, but cautions that commercialization depends on getting products designed into real projects and proving reliability, competitive pricing, and service; large firm orders for unproven equipment are difficult to secure without substantial operating history.
- a16z says Base Power has raised $2.5B to build a nationwide power company; three years in, it says the startup built a home-battery factory in eight months, installs 100 batteries a day, and powers more than 30,000 homes.
- Base was founded in 2023 by Zach Dell, who worked at Blackstone and Thrive Capital, and Justin Lopas, whose experience includes manufacturing at Anduril and building rockets at SpaceX. Its residential-battery approach uses homes’ existing grid connections to bypass interconnection queues and transmission congestion.
- Base Core is a 39.2-kWh home battery; in markets where customers can choose providers, Base offers electricity for three years at a fixed rate plus delivery fees, with typical bill savings of 10–20%, and uses the batteries to trade power with the grid. It charges batteries when power is cheap and sells it back when prices are higher.
- Utility partnerships rose from less than 5% to more than half of Base’s sales volume in a year; Austin Energy contracted for 40 MW of home batteries and CoServ for 100 MW.
- U.S. grid additions planned for this year total 86 GW: 43.4 GW solar, 24.3 GW batteries, 11.8 GW wind, 6.3 GW gas and no new nuclear; AI labs are planning for hundreds of gigawatts. Solar is the only source already produced at that scale, but most production is in China, while scaling firm non-gas power is more complicated.
- Texas shows the deployment bottleneck: ERCOT’s large-customer queue grew from 63 GW at the end of 2024 to 474 GW by June, about 90% of it data centers; the source says many applications are speculative and lack customers. Texas has frozen new data-center permits, and ERCOT paused approvals for projects of 75 MW or more pending an audit, including 17 that had completed other ERCOT steps; connecting a large data center can take 5–10 years. Behind-the-meter equipment orders offer a bridge, but sites generally still aim to connect to the grid because on-site power is usually more expensive.
- The shortage creates startup openings in integrating existing hardware and business models, such as Base Power’s aggregated home batteries, or in new technology, such as Heron Power’s solid-state transformers. For investors, the source flags a cold-start risk: project design-in matters more than early deposits or revenue, and new vendors must prove reliability, competitive pricing and service capability.
OpenAI is rolling out GPT-6 and Intelligent UI in ChatGPT for everyone; the UI provides fast, interactive answers, makes everyday questions more visual and complex topics easier to grasp, and offers task-specific interactive tools on the spot. Sam Altman called the change long-awaited and said he would hate to return to the old version of ChatGPT.
Paul Graham says successful founders he has spoken with wish they had hired fewer senior managers from outside, while he has not encountered one who wished they had promoted fewer people internally . One founder’s explanation was that external hires may be a different kind of person, with loyalty to their career rather than the company .
Scott Kupor joked that OPM was coming after Sam Corcos to take his title as the government’s biggest USTechForce employer . In the linked post, Corcos said they still need more engineers and invited interested people to DM him .
Dan Primack reported that @sriramk is raising a $500 million new VC fund . Scott Kupor praised him and asked for a running total of AUM for the “a16z mafia” .
Scott Kupor highlighted a Washington Post perspective that “SI” is generating so many new jobs that a slowdown is a concern; his post does not clarify what “SI” means, so it is not an unambiguous AI-labor signal.
Scott Kupor highlights a historical shift in tech talent: women made up as much as 40% of the early programming workforce, while female employment in programming peaked in the 1980s and has not returned to that level.
Tech Force held an event with OPM Director Scott Kupor, tech founder Joe Lonsdale, and Under Secretary of War Michael on how technologists can serve America, advance “SI,” and build tools to strengthen national security; the post gives no further details on specific programs or tools.
Vitalize Care (YC W23), which is building an AI operating system for hospital staffing, scheduling, and capacity, raised a $31M Series A. The company says it manages millions of shifts per week across 15+ health systems and saves clinical leaders over 2,000 hours daily; St. Luke’s Health reduced overtime and agency labor spend by 54% within 12 weeks.
Base Power & the Future of Electricity

By @espricewright & @mikemcg0
In 2018, Zach Dell was a summer analyst at Blackstone studying the utility-scale battery opportunity. “One thing became really clear to me,” he recalls. “The marginal cost of solar plus storage was going to fall below the marginal cost of coal and natural gas.”
He was right. Solar is now the fastest-growing source of electricity in history, and the price of a lithium-ion battery pack has fallen more than 90% (opens in new tab) since 2010.

Yet, while the cost of generating electricity is falling, thanks to the collapsing price of solar (and wind), the cost of delivering it has surged. American utilities now invest more (opens in new tab) in the wires, poles, and substations that move electricity than in the plants that make it, and in 2025, electricity prices rose (opens in new tab) more than twice as fast as inflation. The U.S. electrical grid is an engineering triumph of the twentieth century that makes modern society possible, but it’s turning out to be a poor fit for the present.

Justin Lopas was circling the same problem, looking for the next big thing to work on after running manufacturing at Anduril and building rockets at SpaceX. Problems don’t come much bigger than electricity: if GDP per capita is the best measure of human prosperity, it’s hard to find a better lever to move it than electricity. Electricity is an input to almost everything, and it determines the viability of nearly all human activity. That’s why there are no rich, low-electricity countries.

By that measure, America is in trouble. Our electricity generation has been roughly flat since the mid-2000s, while China’s has more than quadrupled. Last year, China generated more than twice as much electricity as the United States, and as energy becomes the bottleneck on industries like AI and manufacturing, that gap is becoming a national security problem.

Zach and Justin met on a factory tour at Anduril, the defense startup that was recently valued at $61 billion (opens in new tab). Thrive Capital, where Zach worked after Blackstone, had just invested in the company, and Justin, who ran manufacturing there, showed him around. The two quickly became friends, and in the months that followed, started discussing ideas for a new company. Both wanted to build something big and thought energy was ripe with opportunity. “What SpaceX did to aerospace; what Anduril did to defense; no one has done to the energy grid,” Zach says. The industry, as he sees it, pairs enormous scale with remarkably little innovation.
“The first question Zach and I asked,” Justin told us, “was: why isn’t energy cheaper?”
The future co-founders spent the next several months researching the industry until they zeroed in on the idea for their company.
Their core insight was that cheaper batteries could help fix our aging grid infrastructure because a battery and transmission line essentially do the same job: both move power from where it’s worth less to where it’s worth more. A transmission line does it through space, carrying power from where it’s made cheaply, like a solar farm in Arizona, to customers hundreds of miles away. A battery does it through time, storing power at noon when solar is flooding the grid and releasing it in the evening when everyone is home, the sun is down, and power is expensive.
The only problem was that the way incumbents were deploying battery storage was too slow, and the batteries weren’t where the grid needed them. “Ninety-nine percent of storage on the grid is utility-scale storage,” Zach explains. “Tens of billions of dollars of CapEx has been deployed into this asset class at high rates of return, but the asset class is fundamentally limited for two reasons.”
The first problem is the interconnection queue, which is the waitlist of projects that have applied to connect to the grid. Grid operators require that developers undergo studies before construction to ensure a new project won’t destabilize the system, but this has created a huge backlog. In 2008, a project took under two years to go from initial request to commercial operation; by 2023, it took nearly five (opens in new tab). Some states can take even longer, and it’s blocking everything from batteries to solar farms to natural gas power plants. According to a June 2026 report (opens in new tab) from Berkeley Lab, there’s roughly 2,600 gigawatts of generator capacity and storage actively seeking interconnection – more than double the grid’s 1,279 gigawatts of existing capacity.

The second problem is transmission congestion. Where you actually need the power, like densely populated city centers, is not where you can put these huge farms with rows of batteries the size of shipping containers. So even after a farm clears the interconnection queue, its power arrives through the same crowded wires that are driving up delivery costs.

Zach and Justin believed the answer to both problems was to essentially chop the battery farms into thousands of pieces and install them on people’s homes. Houses are already connected to the grid, so you don’t have to wait in the interconnection queue. You also don’t have to purchase land or take on huge construction projects to install them. And because the house can draw power from the battery directly without ever touching the grid, you circumvent transmission congestion and reduce grid load.
The obvious problem is economies of scale: a battery farm has one site, one grid connection, and one construction job; a fleet spread across thousands of homes has thousands of each, which makes it more expensive per kilowatt-hour if installation costs are high. But Zach and Justin believed they had a way around that too.
The grid has been called the largest machine in the world – building it took decades, millions of workers, and hundreds of billions of dollars – and fixing it is an almost impossibly ambitious task. But in 2023, Justin Lopas and Zach Dell founded Base Power to try anyway, and it turned out that a lot of talented people wanted to work on this problem too. The engineer who got Starlink’s laser mesh network working joined to lead their software. A Tesla veteran who’d spent thirteen years on everything from the original Roadster to the Powerwall joined to build their battery. And investors have since bet billions of dollars that they’re onto something.
Whether they’re right will come down to a handful of beliefs about what electricity will look like in the coming decades. The first concerns a problem the grid has had from the beginning but never solved. To see it, you have to understand why the grid works the way it does.
Moving Power Through Space and Time
Thomas Edison is remembered for inventing the lightbulb, but that’s not quite what happened. Working incandescent bulbs already existed; Edison made them practical and safe. His lab in Menlo Park ran thousands of experiments with filaments and vacuums, and he sent his assistants on thousand-mile journeys before discovering a filament of Japanese bamboo that could burn for hundreds of hours. But a bulb is useless without electricity, so in 1882, he opened Pearl Street Station, America’s first centralized power plant, and wired it to a few dozen buildings nearby in lower Manhattan. Edison’s real breakthrough was the system.

The only problem was distance. Because Edison used direct current (DC), which fades as it travels, Pearl Street could only reach customers within about a mile radius. To electrify a city that way, you’d need a power plant in every neighborhood.

Nikola Tesla, a young engineer who traveled to America in 1884 to work for Edison, believed the answer was alternating current (AC), which could be pushed to high voltage, sent hundreds of miles with little loss, and stepped back down at the other end. Edison called his ideas “splendid,” but “utterly impractical,” so Tesla quit and raised money for his own laboratory. Tesla was a brilliant inventor who would go on to file hundreds of patents, but he lacked Edison’s gift for translating inventions into businesses. It was George Westinghouse, the Pittsburgh industrialist who had made his fortune inventing the railroad air brake, who saw Tesla’s genius, licensed his patents at a royalty of $2.50 for every horsepower of AC sold, and took on Edison in the bitter “War of the Currents.”
The war nearly broke Westinghouse. He burned vast sums of money fighting hundreds of patent lawsuits with Edison’s camp, and when the collapse of Barings Bank in London froze credit markets in 1890, creditors refused to rescue the company while Tesla’s royalties stood. So Tesla, who felt he owed everything to the one man who believed in him, tore up his contract. Westinghouse survived, and AC eventually beat DC because it was the superior standard for moving power through space.
Had Tesla kept his royalties, he might have died one of the richest men in history. Instead, he exhausted his remaining wealth on new experiments and died penniless, in debt, and alone in 1943, in the room he kept at the Hotel New Yorker.

The victory of alternating current set the shape of everything that followed. Because AC could travel vast distances, one enormous power plant could serve a whole region, which facilitated economies of scale. So the plants kept getting bigger and the wires kept getting longer. In the decades that followed, fueled by New Deal initiatives like the Rural Electrification Act of 1936, these regional systems expanded rapidly. Soon almost every American could flip a switch in their kitchen and use electricity from a plant miles away.

The critical flaw with this machine we now call “the grid” is that it is real-time with effectively no storage, and electricity has to be consumed within a millisecond of generation. If demand exceeds supply even briefly, the whole system slows down, almost like a bicycle hitting a steep hill, and if the frequency of the power drops too low, sensitive equipment will automatically disconnect itself to prevent damage, triggering a chain of widespread blackouts. If supply exceeds demand, the frequency spikes, almost like a bicycle spinning out of control downhill, which can overload lines, blow out transformers, and cause catastrophic damage to the infrastructure. In other words, the grid could move power through space, but not through time.
For most of the grid’s history, this was a flaw you could live with because the coal and gas plants that powered it could be ramped up and down quickly. It was more expensive because the whole machine had to be sized for the single worst hour and the average distribution line in America carried less than half of what it was built for, but it wasn’t catastrophic.
However, two things are now breaking the grid at the same time.
First, electricity generation is getting increasingly volatile. The cheapest source of power on earth is solar, with wind close behind, and the share of renewables in the energy mix is growing rapidly as coal plants are decommissioned due to their high maintenance and operating costs. This is a problem for grid stability because the sun and wind can’t be switched on or off like a coal power plant to match demand in real-time.

Second, the electrification of the economy is both increasing demand and making it more volatile. For over two decades, U.S. electricity demand grew at well below 1% per year. But data centers, new factories, and electric cars are all arriving at once, and utility grid planners are now projecting (opens in new tab) energy usage will increase at a rate of 5.7% per year from 2025 to 2030. Supporting this growth rate would require the electricity industry to build new generation and transmission capacity at more than six times the rate of recent years.
In short, supply is getting less reliable and demand is growing at its fastest rate in decades, on a machine built for a world of steady, controllable power plants and slowly growing demand. The tempting fix is more plants and wires, but capacity isn’t really the problem. In the middle of the night, the grid has power to spare; at 6pm the next evening, it strains. This is what Base was built to solve.
The Cheapest Electron Wins
Electricity is a commodity, and the best electron is the cheapest electron. “There are no sexy electrons,” Zach jokes. When he and Justin set out to build a modern power company, they designed it around this assumption.
The incumbents have the opposite incentive. “If you squint a little bit, they’re kind of similar to the defense primes,” Justin says, drawing the parallel from his years at Anduril. The utilities that own the poles and wires are regulated as monopolies and guaranteed a return on whatever they spend. Defense calls this model cost-plus; utilities call it rate basing. But the underlying incentive is the same: the more they spend, the more they earn. If technology lets you do more with less, there’s little reason to adopt it. As Zach puts it, “what you have is an incentive to build but not innovate.” So utilities’ requested rate increases continue to set new records (opens in new tab), and electricity prices follow.
The advantage SpaceX and Anduril had competing against cost-plus incumbents was that customers could buy their products if they were better. But in electricity, how much competition is allowed varies state by state. About a dozen states, including Illinois, New York, Massachusetts, and Pennsylvania, have deregulated retail markets so homeowners can choose who sells them power. And no state has gone further than Texas, making it the perfect beachhead market for an energy startup to prove its model before expanding to the rest of the country.
Texas runs its own grid, called ERCOT, which does not cross state lines and largely avoids federal regulation. In the early 2000s, the Public Utility Commission of Texas broke up the utility monopoly model into three distinct businesses: generation, transmission, and retail. Transmission would still belong to regulated utilities earning a guaranteed return on their spend, but they would no longer own generation or retail, which were opened to competition. The resulting market dynamics have made Texas a laboratory for energy innovation. It has become the leader in wind and solar as pure-play generators compete to produce electricity as cheaply as possible (Texas sitting in the Sun Belt and Wind Corridor helps too), and a hundred-odd retailers compete to buy electricity wholesale from the grid and sell it to homeowners. There are still some regulatory hurdles to overcome, but in the roughly 80% of the state that has deregulated, a new company can enter generation or retail without an incumbent’s permission.

In 2023, Zach and Justin incorporated Base Power as a retail electricity provider and moved to Austin. Like Tesla, SpaceX, and Anduril, they would compete with the incumbents on talent, technology, and vertical integration.
The first step was hiring people who would never work for a utility. A lot of smart people already believed energy was one of the most important problems they could work on; they just needed a company worth joining. From SpaceX, Base hired Jared Greene, who led the team that built Starlink’s laser mesh network, to run software; Cole Jones, who ran Starlink’s go-to-market, to run growth; and Suzanne Dang, who ran procurement there for ten years, for special projects. From Tesla it recruited Dino Sasaridis, who spent thirteen years there and led the design of the Powerwall 3, to build the battery; and Andy Ross, who led battery manufacturing for the Model 3, to head up manufacturing. From Anduril it hired Dana Paz, who led manufacturing engineering, to run deployments. This founding team was critical in establishing an engineering-led culture, ramping domain expertise in key areas, and perhaps most importantly, attracting even more talent.
Base’s product is the Base Core (opens in new tab), a 39.2 kilowatt-hour battery (roughly three times the size of traditional batteries) that installs directly on customer homes in less than an hour. But the battery isn’t what customers are buying. “We don’t sell batteries,” Zach explains. “We sell affordable, reliable power.” A homeowner pays a setup fee in the hundreds of dollars and, in some areas, a monthly membership fee of about $19. That’s for a battery that would cost well over ten thousand dollars to buy outright. In markets where customers can choose their own energy provider, they get electricity from Base for three years at a fixed rate plus delivery fees, typically saving 10 to 20% on their bill. In exchange, customers let Base use the batteries to trade power with the grid.

This model aligns Base with its customers in a way the rest of the battery industry isn’t. Base makes money by putting as much storage on the grid as possible, and customers want as much backup as they can get in case of a long-duration outage, so both sides want bigger batteries. Other battery companies have the opposite pull because their customers pay the sticker price upfront and smaller batteries are more affordable. Most of the money Base makes on each home comes from energy arbitrage: charging the batteries between 10pm and 4am when power is cheap and selling it back to the grid between 7pm and 9pm when it’s expensive. The trading profits scale with battery size and are what let Base sell cheaper electricity to the homeowner.
Base’s real competition is utility-scale storage, and its structural advantage is everything the homeowner supplies for free: the site, the grid connection that otherwise would take years in the interconnection queue, and a direct connection to the home that avoids transmission costs. Base is now extending those advantages to regulated utilities themselves. Austin Energy weighed Base against utility-scale developers and contracted (opens in new tab) 40 megawatts of home batteries. CoServ, the third-largest electric cooperative in the country, signed (opens in new tab) for 100. A year ago, utility partnerships were less than 5% of Base’s sales volume; today they’re more than half.
Base acquires homeowners through referrals, paid advertising, and word of mouth. It also partners with homebuilders like Lennar, one of the largest in the country. When people buy a Lennar home in certain Texas communities, they can sign up for a battery and have Base power their house from day one.
The tradeoff is that a fleet across thousands of homes means thousands of separate installs, without the economies of scale of one giant site. Base’s answer to that problem is a vertical integration flywheel. “We vertically integrate and develop technology to lower our costs,” Zach explains. “Lower costs equal higher returns at the asset level. Higher returns at the asset level mean we can pass on those returns to the customer in the form of lower prices.” In a commodity market, lower prices bring more demand, more demand brings more scale, and more scale loops back to lower costs. “There’s your flywheel, and that’s our competitive advantage. If you’re in the market for electrons and ours are the cheapest, you’re going to buy them.”
The battery itself is the clearest example. It’s designed so a crew can install it in less than an hour, eliminating hours of specialized electrician time. And bigger batteries deliver more kilowatt-hours per install. Base’s first product was 25 kWh, and within three years the 39.2 kWh Core shipped for the same price.
But vertically integrating a power company is easier said than done. Base has to design the batteries, manufacture them, write the software, install them, operate them, build a consumer brand, and offer support to thousands of customers. It’s also capital intensive.
Within three years of founding, Base has grown its battery fleet to over 500 megawatt-hours and expanded beyond Texas into Illinois. In October of last year, it raised a $1 billion Series C (opens in new tab) and converted an abandoned newspaper factory in downtown Austin into a fully functioning battery factory in eight months. This week it announced a $1 billion Series D (opens in new tab) alongside the launch of the Base Core battery, which is now in production there. The factory turns out thousands of systems a month, and the plan is to manufacture four gigawatt-hours of batteries a year, with over 10 at the next facility. “It is so critical to bring manufacturing back to the U.S., especially for critical infrastructure,” Justin says.

Today, Base deploys about 40 megawatts of battery storage per month to its fleet. Annualized, this run rate would represent nearly 2% of all the lithium-ion storage added to the U.S. grid last year.

“If you wanted to put 100 megawatts of batteries on the grid today, depending on the state, it would take you anywhere from two to five years,” Zach says. “We don’t need new poles and wires. It’s a much faster system.”
Battery fleets are starting to have a noticeable impact on the grid too. Last month, Texas set a new July demand record, and wholesale prices peaked at about $0.06 per kilowatt-hour. For comparison, when record demand hit Texas during the summers of 2023 and 2024, evening prices spiked above $4 per kilowatt-hour. This time, solar carried nearly a third of the record load, batteries carried the evening ramp, and gas, which historically ramped to meet the peak, barely moved.

Two weeks later, it happened again, but bigger. The all-time Texas demand record that had stood for almost two years fell twice (opens in new tab) in two days – 87.5 gigawatts on July 21, then 91.3 on July 22. Batteries supplied nearly 12 gigawatts at the peak, triple what the whole state had two years ago, and wholesale electricity prices briefly touched $0.30 per kilowatt-hour, less than a tenth of the 2023 and 2024 spikes. The roughly 150 megawatts Base discharged that day is about the size of a full utility-scale battery site. If you had started building one in 2024, it would still be stuck in the interconnection queue.
Over time, Base expects the rest of the country to look a lot more like Texas: more solar, more batteries, and steeper demand spikes. “We think Texas is the canary in the coal mine for the rest of the country,” Zach says, describing the company’s expansion into new states. And after new states, there will be new products.
“If you have a battery and an inverter on the home and you’re selling the homeowner power every month, you’re really well set up to add solar to the equation,” Zach says. “We want to be in a position where we can land a battery, and eventually a solar panel, on the grid cheaper than anyone on the planet on a dollar per kilowatt-hour basis, which means we can sell an electron cheaper than anyone on the planet.” The plan is to run the same vertical integration flywheel on solar that added nearly 60% more storage to their battery for the same price.
Solar is also Texas’s fastest-growing source of power, up from almost nothing a decade ago to about 15% (opens in new tab) of the state’s electricity last year.

The Coming Decade of Solar and Batteries
Last year, the world installed more new solar capacity than every other energy source combined, and very few people saw it coming. Every year for two decades, the International Energy Agency (IEA) projected that solar growth would level off, and every year the exponential has continued.

How could the experts be so wrong for so long? They were modeling solar like traditional forms of energy, when it’s actually a manufactured product, more like a flat-screen TV than a power plant. It has no moving parts, doesn’t require specialized labor to implement, runs on sunlight instead of fuel, and most importantly, it follows a “learning curve” – when factories make more of it, they get better at making it, and it gets cheaper. Economists call this learning curve Wright’s Law, which observes that the cost of technology falls by a constant fraction every time cumulative production doubles. For solar panels the fraction has been about 20% per doubling and has held for nearly five decades.

For batteries, it’s been about 23% per doubling, which compounds solar’s adoption because batteries fix solar’s biggest weakness (sunsets).

Energy historian Vaclav Smil points out that energy transitions have been slow. One way he demonstrates this is by plotting (opens in new tab) how long it took an energy source to go from 5% of the market to 25%: coal took 35 years, oil took 40 years, and natural gas took 55 years. But coal, oil, and natural gas never got 20% cheaper every couple of years.
You can see the effect of Wright’s Law on the American grid already: solar has gone from about 5% of the country’s electricity generation in 2022 to 9% (opens in new tab) in 2025, and it’s 51% (opens in new tab) of the new capacity being built in 2026.
We’re also seeing more demand for solar at the residential level to power individual homes. Utility-scale solar has accounted for roughly two thirds (opens in new tab) of U.S. solar power capacity due to economies of scale versus rooftop solar, but suitable land and the interconnection queue are becoming bottlenecks. Meanwhile, pairing solar panels with battery storage to power the night is becoming economically feasible. In the last five years, the share of American homes with solar has more than doubled from 4% to 9% (opens in new tab).

Another important driver of residential solar adoption is the rising delivery costs Zach and Justin identified when they first set out to fix the grid. Most of a retail electricity bill is delivery, and rooftop solar skips delivery entirely by letting the homeowner generate electricity where it is consumed. A solar farm competes with wholesale prices, but rooftop solar competes with retail prices.

Even before it sells a panel, all of this is a tailwind for Base. As solar comprises a larger share of power generation, noon power gets cheaper and evening power more valuable. And Base’s batteries are paid to move it through time.
Batteries and solar are ultimately how Base puts power back in the hands of the consumer. The AI data center buildout has utilities planning for demand growth the grid hasn’t seen in decades, and homeowners are worried the cost will land on their electricity bills. The industry’s proposed fix is for data centers to flex their load around the grid’s peaks, but that requires visibility today’s grid doesn’t offer. Every battery Base installs adds telemetry and control to another node on the grid, and enough of them give the system the visibility that flexibility requires. Data centers could even buy power from batteries on hundreds of thousands of homes nearby instead of waiting for years in the interconnection queue. It could be the opposite of what people fear, Zach says, “where these hyperscalers are actually subsidizing the power costs for the consumer.”
The Great Problem of Science
In 1900, at the height of his fame, Nikola Tesla published an essay titled The Problem of Increasing Human Energy (opens in new tab). “The great problem of science,” he argued, “is, and always will be, to increase the energy.” He thought burning fuel was barbarous because destroying material is wasteful and neglects “our duty to coming generations” to leave their stores of energy intact. “We ought to be able to obtain the energy we need without consumption of material,” he wrote. He studied wind and solar and concluded the power was too intermittent and storage cost too much. The first step toward the future he envisioned was a better battery: “These and many other problems will be better solved, and in a more scientific manner, by a light-storage battery.”
A century and a quarter later, the battery Tesla asked for is finally cheap, and solar is on path to be the cheapest source of power on the planet. But deploying it is getting slower and more expensive. Big projects are forced to wait years in the interconnection queue, and our aging grid infrastructure is driving up the cost of delivery.
In three years, Base has gone from zero to installing more home battery storage per month than any company in America. The goal, as Zach described earlier, is to land a battery, and eventually a solar panel, on the grid cheaper than anyone on the planet, and turn the sun’s abundant energy into cheap, reliable power.
Driving down the price of electrons will benefit everyone who buys electricity, which is to say everyone. It will also drive down lots of other prices because energy is an ingredient in almost everything. People worry about a global water crisis on a planet that is 71% ocean because the energy required for desalination makes it prohibitively expensive almost everywhere. The technologies that will define this century consume huge amounts of energy too, and the countries with the cheapest electrons will be where the data centers, the factories, and eventually the robots get built.
Most big jumps in human progress trace back to jumps in our ability to harness energy. The airplane is a good example. When the first long-distance power line connected Niagara Falls to Buffalo in 1896, cheap and steady hydroelectric power made it profitable to manufacture aluminum at scale, and aluminum was the metal the Wright brothers needed to build an engine light enough to fly. The same cheap energy also spawned factories across the city that produced abrasives, silicon, and graphite. One improvement in moving electricity kicked off dozens of industries.
But America will need more than cheap electrons. China accounted for over 80% (opens in new tab) of battery cell production in 2025, and its share of every stage of solar panel manufacturing (polysilicon, ingots, wafers, cells, and modules) exceeds 80% (opens in new tab). Washington has responded to this supply chain risk with tariffs, which pushes energy prices higher still.
Base wants to help solve this too by building more factories and vertically integrating further over time, but they can’t do it alone.
“In the last fifty years, the electricity industry has not been the place where the most talented engineers and operators have gone,” Zach says. “I have a ton of optimism that talented young people will wake up to the idea that this is an incredibly important problem. I hope a lot of them come to work at Base, but I also hope more companies get started to solve these really hard engineering problems in the energy space to help drive cost down and reliability up.”
As Justin saw at SpaceX and Anduril, it only takes a small group of people to jumpstart an industry. It’s hard to think of one with more downstream consequences than electricity.
- a16z says Base Power has raised $2.5B to build a nationwide power company; three years in, it says the startup built a home-battery factory in eight months, installs 100 batteries a day, and powers more than 30,000 homes.
- Base was founded in 2023 by Zach Dell, who worked at Blackstone and Thrive Capital, and Justin Lopas, whose experience includes manufacturing at Anduril and building rockets at SpaceX. Its residential-battery approach uses homes’ existing grid connections to bypass interconnection queues and transmission congestion.
- Base Core is a 39.2-kWh home battery; in markets where customers can choose providers, Base offers electricity for three years at a fixed rate plus delivery fees, with typical bill savings of 10–20%, and uses the batteries to trade power with the grid. It charges batteries when power is cheap and sells it back when prices are higher.
- Utility partnerships rose from less than 5% to more than half of Base’s sales volume in a year; Austin Energy contracted for 40 MW of home batteries and CoServ for 100 MW.