Register and share your invite link to earn from video plays and referrals.

Jamin Ball
@jaminball
Partner at Altimeter Capital. Dad to 4 amazing kids. No investment advice, all views personal
1.5K Following    93.2K Followers
Next up on First Pass: A conversation with @ypatil125 from @appliedcompute. Customized models are coming. But how can enterprises get ready for this future? We dug in on questions like that with Yash
Show more
Let’s go!
Cognition has crossed $1B in annualized revenue run rate. This milestone belongs to our customers. Here's how a few of them are building with Devin.
I started the Invest America Act / @TrumpAccounts w my kids @LincGerstner & @JackGerstner_ around a simple dream - that EVERY child / every citizen should directly own a piece of America’s great economic upside. 3.7 M kids getting investment acccts at birth each yr seeded w $1000. I am grateful for the amazing bi-partisan support - and the vision & courage of @realDonaldTrump that made them a reality. 8 million kids today have accts & soon will be all 73 MILLION kids directly owning a piece of America’s best companies. Today it was our family’s great honor to pay it forward to kids in Indiana - a state that has given so much to me. And it was especially fun to get this note from my niece - a school teacher in Indiana - & to know how much this means to her daughter Memphis. 🇺🇸🤍🚀
Show more
Next up on First Pass: A conversation with @adijayaprakash from @useblacksmith Everyone knows about the GPU crunch, but the CPU crunch is getting equally painful. In this episode we talk about the nuances of CPU clouds and how agents are driving a surge of CPU demand
Show more
Verifiable AI will be a huge trend!
The world is debating whether frontier AI needs to slow down. If it comes to it, do we know how? A lab can say it stopped training. A country can sign a treaty. But, is the compute following the rules? @attestable is building that layer. New blog! 🧵
Show more
Remotely installable, remotely verifiable, this is the verification solution the world needs. We are working hard @attestable to make it as fast and easy to deploy as possible.
Very well written post from Dario. The US must dominate in AI. And we must do it responsibly. In 1957 the International Atomic Energy Agency (IAEA) was formed. The IAEA stemmed from President Eisenhower's 1953 "Atoms for Peace" proposal. In very over simplified simple terms, the IAEA purpose was to ensure safe use of nuclear technology across the world. Verify that where uranium was being enriched, the enrichment levels were enough for energy but not enough to make a bomb (low single digit percentages not 90%). What could be used for good (energy) could also be used for bad (bombs). We needed a global institution to help ensure the bad uses weren't happening. Failure would be blocking this technology from being used for good.... They did this with specialized tools and site visits, forensic investigations, and ongoing monitoring solutions Doesn't sound too different from what Dario is proposing with Embedded Evaluators! Independent third party actors with desks in their office, company laptops, access to company workspaces, etc Back to the nuclear analogy. Fast forward to the late 70's / early 80's and the United States canceled the development of 100+ nuclear reactors (Three Mile Island partial meltdown in '79 caused a lot of the fear). What's important though is the IAEA didn't shut down development, fear did. The US then went 30+ years before building a new one. As @altcap discussed on CNBC yesterday, what's important is having balanced discussions about the risks. We don't need hyperbolic hypothetical statements that drive fear. The Hugging Face incident kick started fear, just like the Three Mile Island incident did in 1979. Too much fear (without balanced discussion) will lead the US AI's dominance to the same fate it's nuclear dominance fell to The US is now paying for the reactor freeze from the late 70's. Our energy dominance is diminishing. We're seeing a huge power crunch. While we paused, other countries marched on with reactor development. Unfortunately, China and Russia particularly. France is also a gold example, with well over 50% of their electricity today from atomic energy. The full circle irony - Three Mile Island is now being re-opened and redeveloped for AI data centers. The "Hugging Face incident" of the nuclear era is now coming back for AI. We can't let fear grip us and force a similar pause in AI. And I think it's important to point out Dario isn't asking for a pause. He's asking for responsible pacing. These are different. The IAEA didn't cause a pause. Embedded Evaluators similarly won't be the reason we stop building data centers. I thought Dario's post was well written and balanced. However, we can't fall into a cascading fear loop. This is what our adversaries want (look who's now dominating nuclear while we play catch up...) It's imperative that the discussions around the risk are grounded in reality and good faith. Dario's essay is a great step
Show more
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here:
Show more
On @Cnbc today to discuss how the labs, gov’t and industry are working together to balance massive AI benefits w downside risks. And why leaders like @andrewdfeldman agree w @JensenHuang calling Coxon’s dangerous claims of human extinction “utter horseshit.” 🧐🧐
Show more
0
111
545
46
Forward to community
“pointed to a cryptography tool called zero-knowledge proofs — a mathematical way of providing verification about a system without revealing more than necessary, such as proprietary details about model parameters or training data.” - Fields medalist and @OpenAI researcher
Show more
This is the future, @attestable will usher it in! Zero knowledge proofs are about to become mainstream and very important in the AI domain
Excited for Altimeter portfolio company @HQ_Covenant to emerge from stealth with $250m in funding and ~$150m in orders. Deep precision strike is one of the most critical capability gaps facing the West. Covenant has built Anthem to close that gap and meet the need for long-range, heavy payloads, precision, and mass production. Proud to back Michael and the truly special Covenant team as they bring Anthem to the world.
Show more
Let’s go!
Today, Covenant is emerging from stealth and introducing Anthem: a heavy-payload deep precision strike capability designed for mass production, with deliveries beginning in the thousands in 2027. We’ve raised $250 million, flown Anthem in more than 200 tests, and secured approximately $150 million in orders, including contracts with the U.S. Army, U.S. Navy, and key international allies. We’re building Anthem at our 105,000-square-foot production facility in Dallas, alongside factories in Germany and Israel. Covenant is backed by @a16z, @foundersfund, @Lux_Capital, @lightspeedvp, @8vc, @aleph, and @AltimeterCap. Deep precision strike is the biggest gap in the arsenal of the West, and we spent the last two years building Anthem to fill it. Now we deliver at scale.
Show more
Excited to back @ScottWu46 and the @cognition team!
The world needs far more software than it can build. Cognition exists to change that. We’ve just raised over $2B at a $48B valuation, led by a16z, Accel, Founders Fund, General Catalyst, and Avenir. Since our round in May, run-rate revenue has grown from $492 M to almost $900 M.
Show more
You only need to listen to 2 minutes of this episode with @ZachBDell to feel like an expert. Very clear and concise “We look at a very simple correlation of consumption of energy per capita to GDP per capita. The takeaway is the more energy a population is able to consume, the better their life gets.”
Show more
My conversation with @ZachBDell, co-founder of @basepowerco. 0:00 Energy Abundance & the Power Demands of AI 6:15 How Batteries Make the Grid More Efficient 9:09 Early Ventures & the Insight Behind Base 15:34 We Don't Sell Batteries. We Sell Electricity. 22:25 How Base Works With Utilities & Competes for Customers 30:44 Learning From Michael Dell: The "Dad Terminal" 32:22 Vertical Integration & Lessons From SpaceX 39:34 Writing Clearly & Making Time to Think 44:53 North Stars, Turtles & Relentless Execution 53:55 Learning From Great Founders & Building a Beloved Brand 56:27 What's Your Constraint? 1:06:26 Base Core & Taking Control of Manufacturing 1:11:02 A Lifelong Mission & the Last Company He'll Build Includes paid partnerships.
Show more
GPT‑6 Astra pricing is $10 per million input tokens and $50 per million output tokens. Same pricing as Fable 5.1 and Mythos 5.1 This seems to be where the frontier pricing is settling (for now)
Pretty pretty good!
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
🫡 AgentX 1.0 from @SemiAnalysis_ has been months in the making, and the @inferact team did amazing work pushing @vllm_project to become the leading inference system for agents: KV offload, PD disaggregation, and production-grade reliability — all without compromising accuracy!
Show more
Consistent with my views: “Most likely end state IMO is that closed, frontier tokens are 60-90% of economic value but only 15 to 25% of tokens.”
More data than open-source AI is taking share from OpenAI and Anthropic. Open source has gone from 28% token share to 62% token share @vercel over the last 2 months. Chart from @rauchg Super impressive given that the sum of OpenAI and Anthropic accelerated in July. So net token/AI infra demand accelerated even more than the acceleration we saw at the frontier. And suspect Grok growing even faster than open-source and we saw some of this in the @tryramp data. Open-source AI taking share is positive for AI infrastructure demand as it lowers margins at the model layer and an open-source token costs just as much compute to produce as a frontier token. Nothing about open-source AI inference is “free.” Most likely end state IMO is that closed, frontier tokens are 60-90% of economic value but only 15 to 25% of tokens.
Show more
I asked people: "which AI supply chain startups (compute, power, chips, datacenters) valued at $10b or less are most interesting?" 10 votes: MatX 8: American Terawatt 6 each: Lightmatter, Modal, Prime Intellect 4 each: Valar Atomics, Wafer 3 each: Ayar Labs, d-Matrix, Gimlet Labs, Heron Power, Olix, Panthalassa, Positron, Substrate, Taalas, Tenstorrent, xLight 2 each: Aalo Atomics, Corintis, Fab2, General Matter, Ornn, SF Compute, Starcloud, Stone Power, TensorWave 1 each: 49 more startups, see image and below People also voted for Base Power, Crusoe, Etched, and Fluidstack but those are over the valuation limit. Disclosure: I'm a small angel in American Terawatt and Wafer. I didn't vote.
Show more
The future of bio and medicine is quite bright @ProfluentBio
The biggest mistake made by almost everyone who claims that curing every disease within a decade, or accomplishing other insanely difficult things like reversing aging in such a short time, is impossible, is assuming that progress over the next 10 years will look something like the past 20 years, perhaps just a little faster. Yet, it will be radically different: the next decade will bring more technological progress than the entire past century. Just think of all the progress we had since 1900 to today happening in the next 10 years or so. That means many things people assume are still 100 or 200 years away could become possible within the next 10–15 years. By 2050, we will likely see more scientific and technological advancement than humanity experienced during the previous 5,000 years of civilization combined! This is the essence of the technological singularity: progress stops feeling linear and becomes so rapid, compounding, and transformative that the future becomes extraordinarily difficult to extrapolate from the past. And that is precisely why the concept is so difficult for people to comprehend, or accept, and also why some of us have such a conviction to keep claiming the impossible!
Show more