Lan Jiang retweeted
You can now train your own decision model in our platform AC2! Jev-like models, custom fit for your use case :) We implement decision models through a language-model backbone with a small learned output layer called a decision head. The backbone processes the input, question, and answer choices, and the head produces scores which are softmaxed to produce a probability distribution over answer choices. Our software interface makes it easy to add a variable-sized decision head to frontier open-weight models. Choose any open source model, and train it as a decision model using Brier loss or cross-entropy loss. Training updates both the decision head and the language backbone. We tried it on 50k sampled training datapoints from the Civil Comments dataset, starting from Perplexity’s pplx-decider-v1-27b, and F1 for detecting toxic comments increased from 0.482 to 0.677 on 20k sampled eval datapoints. The training job took less than an hour on four B300 GPUs. Reach out to get started with your own classification task: docs.appliedcompute.com/plat…
7
19
109
21,460
Lan Jiang retweeted
Catalyst has already done hundreds of millions in volume, with tens of thousands of people on our waitlist. We’re working with partners like @Tempo and @Privy_io to ensure that your trades execute reliably and your funds stay secure. The team includes founding engineers from Scale AI, Palantir, HRT, Citadel, and Jump. We’ve been thrilled by this momentum and can’t wait to keep it going.
3
9
145
21,600
Huge congrats to @iskdyl and @jzlegion! Proud and lucky to be in your corner since the beginning 🚀🚀🚀
Introducing Catalyst. What do you believe? How would you trade on it? You notice data centers are popping-up everywhere, gold will skyrocket, or just know that Labubus will go out of fashion. Catalyst researches your ideas, builds the optimal strategy, monitors events, and executes trades. Autonomously.
1
2
30
2,113
Lan Jiang retweeted
We’ve raised a $30M seed round led by @Sequoia, with participation from @Jump_, @Lux_Capital, @AntiFund, @SeliniCapital, @PeakXVPartners, SF1, and others.
110
117
738
98,963
Lan Jiang retweeted
Introducing Catalyst. What do you believe? How would you trade on it? You notice data centers are popping-up everywhere, gold will skyrocket, or just know that Labubus will go out of fashion. Catalyst researches your ideas, builds the optimal strategy, monitors events, and executes trades. Autonomously.
996
322
2,388
586,013
Lan Jiang retweeted
I asked people: "where should enterprises go for post-training as a service?" 30 votes: Applied Compute (@ypatil125, @rhythmrg, @lindensli) 13 votes: Trajectory (@rronak_, @michaelelabd, @QuantumArjun) 10 votes: Prime Intellect (@vincentweisser, @johannes_hage) 7 votes: Thinking Machines (@miramurati, @johnschulman2) 5 votes: Fireworks (@lqiao, @dzhulgakov, @pawelg, @jamesr66a, Chenyu Zhao, @divchenko) 4 votes: Baseten (@tuhinone, @amiruci, @saltyph, @defpan, @mudithj, @maxkirkby, @oneill_c) 4 votes: Together AI (@vipulved, @ce_zhang, Chris Ré, @tri_dao, @percyliang) 2 votes: Arcanum (Rehan Rupawalla, @danielrupawalla, Krish Thawani, @samir_walji) 2 votes: Belvedir (@thezacharyyu) 2 votes: Trainloop (@jackson_stokes, @mlpierce22) 1 vote each: - AfterQuery (@CarlosGeorgescu, @spencermateega) - Bespoke Labs (@madiator, @AlexGDimakis) - Engram (@dan_biderman, @EyubogluSabri, @realJessyLin) - Mercor (@BrendanFoody, @adarsh_exe, @suryamidha) - Radixark (@ying11231, @BanghuaZ) - River AI (@ibab, @dsoboliev, Ievgen Soboliev, Yaroslav Nazarov) - Unsloth (@danielhanchen, Michael Han) People couldn't pick a company they work at or founded. Disclosure: I'm a small investor in AfterQuery, Applied Compute, Arcanum and Trajectory. I didn't vote.
14
28
424
54,005
Lan Jiang retweeted
Hey Matan - CEO of Cognition here. I respect the work you have done at Factory but your allegations here about Cognition are not true. We have no interest in Factory’s info and Chris has never brought it up. He has not shared and would never share any information about you or Factory with our team, nor would we ever ask. Similarly, we would never ask our engineers or anyone on our team to collect info about any competitor under-the-table. Chris is an advisor to at least 10 companies, and he told you he was resigning as an advisor on Monday. The truth is we both wanted Chris and for good reason - he is a living legend with an unmatched reputation for results and integrity. Not only is he the only person who has built a sales org from the first sales hire to over 3B, he also has built incredible teams that he cares deeply about. His people love working for him. Again, I have a lot of respect for what you’ve built, but competing with integrity doesn’t include posts like yours.
We are terminating Chris Degnan for unethical conduct involving Cognition. The last few months have seen incredible progress in AI capabilities. San Francisco has flourished as new companies that solve new, more ambitious problems are finding great success. Generally, it is a wonderful time to be building. We at @FactoryAI have seen overwhelming interest in our model-agnostic coding agents and our software factory product. Our team has 10x’d in size, while our revenue has 100x’d year over year. This momentum has been unprecedented. A much larger competitor, Cognition (makers of Devin) has fallen behind us on the capabilities that matter most to customers: cost, quality, and security. Instead of competing in the market, Cognition engineers feigned interviews with us to pry information about our product. Not finding what they were looking for, Cognition has decided to throw their weight and money at people with direct knowledge of our most confidential plans. It feels as though ethics is being thrown out of the window in the AI era. People are willing to do anything, including exploiting privileged information and violating ethical boundaries. I think this is unique to our time, and I don’t think it’s right. Integrity still matters. Yesterday, I made the decision to immediately terminate Christopher Degnan’s roles as a Board Observer and Advisor to Factory, after over a year of service. Prior to this decision, Chris told me he had a casual conversation with an executive at Cognition AI. When I questioned his intentions, he reassured me that ethics aside, he had “made too much money” and was “too lazy to go work for Cognition,” which I trusted and believed. On Monday, Chris spent time advising the Factory team on a handful of confidential board-level matters. That evening, he called me to say that the conversation that was initially described as casual and one-off was actually formal and recurring. For weeks, while he sat in our board meetings and advised our leadership team, he was also confiding with executives of our largest competitor. Chris was subject to confidentiality obligations in connection with his work with Factory. We do not know the extent of the information he shared, but it puts his timely questions about our product roadmap and what the parity gap involves into a new light. It is sad to sever a relationship with someone who has been a trusted advisor - and even a close friend - for over a year. But Chris’s conduct is unacceptable to me. Trust in Board Membership is one of the sacred bonds in the Silicon Valley, one that helps the startup ecosystem thrive. With it comes an enormous responsibility. That trust was violated. Competition is good. I respect and in many cases admire our competitors. San Francisco is a beautiful, singular place where the bold and ambitious go to defy the norms and precedents of the past. But certain principles that must remain. Violating ethics to seek advantage turns what should be positive-sum into zero-sum. We all love technology. And we all love to compete. But we must hold ourselves to a higher standard. The future of software engineering comes with abundance that will impact every person on Earth. Building that future comes with immense responsibility. We must build and compete with integrity.
213
151
4,448
1,644,802
Always a joy to run it back with the OGs @Casspi18 and @tcitrin
Replying to @CarlSchoeller
Also wanted to shout out @Casspi18 from Swish and @tcitrin from Definition. They were some of the earliest believers and have been some of the most founder friendly folks to work with!
1
11
1,806
Lan Jiang retweeted
Excited for @GreylockVC to partner with @CarlSchoeller and the @parallax team to build the leading AI energy company @CarlSchoeller is on a relentless mission to build purpose built turbines that will power the next wave of intelligence
Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)
2
3
33
7,850
Lan Jiang retweeted
We at @DiffusionVC are proud to back Parallax in its $117 million round. Power will soon be the bottleneck to the progress of AI. You can stand up 100,000 GPUs in months. The gas turbines to run them take years. The reason is a design choice made decades ago. Gas turbines were built for utilities and jets, where fuel is the dominant cost over a 30-year life. So the entire industry optimized for efficiency: exotic alloys, extreme temperatures, a core with more than 2,000 parts, and a specialty supply chain that can only build so many per year. Parallax designs turbines optimized for throughput. Smaller units (about 10 megawatts), a 3-D printed core that collapses 2,000 parts into a handful, lower combustion temperatures so it can use common materials and the aerospace supply chain, and a footprint that fits in a shipping container. Parallax is one of Diffusion's core investments, alongside Eclipse, Lux, Founders Fund, Greylock and General Catalyst. First prototype this year, customer deliveries in 2028.
Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)
4
12
129
27,782
We are so proud to be day 1 partners with @CarlSchoeller. He’s built an extraordinary team @parallax_ind 🚀
Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)
3
33
5,671
Lan Jiang retweeted
More Power.
Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)
3
5
27
8,029
Lan Jiang retweeted
There will be an 65GW+ delta between compute committed and power available from the grid by the end of the decade. If we want to keep scaling AI this needs to close. (2/5)
1
5
44
12,760
Lan Jiang retweeted
Today we’re launching Parallax, the AI energy company with a $117m fundraise led by Founders Fund, Eclipse, Lux, Diffusion, Greylock and General Catalyst. (1/5)
163
105
1,431
2,879,003
Lan Jiang retweeted
I’ve joined @Lux_Capital. I'll continue investing in the brightest and boldest founders across AI apps, infra, and the physical world. Lux is an amazing firm built by an incredible group of people, and I can’t wait to share that magic with more founders. To the folks at CRV, who took a chance on me early, thank you. You taught me the craft and backed me every step of the way. I am deeply grateful to the founders who have let me be a small part of their stories to date. If you're building something ambitious, I'd love to hear from you!
110
11
405
70,202
Lan Jiang retweeted
Excited to share that I’ve rejoined Lux Capital as a Partner on the investment team. I started my venture career at Lux and have always admired the team’s relentless curiosity and conviction in backing ambitious, non-obvious companies. It feels great to be back.
91
14
612
79,426
Lan Jiang retweeted
Our newest partners 🚀 @hesspresso_ , @miakrishh, and Mahi Joshi have joined Lux, bringing deep expertise across defense and national security, AI and the physical world, and capital formation. More on each of them here: luxcapital.com/news/lux-cont…
31
11
174
77,852
More capable models will introduce increased biological risk. The magnitude is fiercely debated, the direction is not. We need more resilient biodefense.
Article

Notes on Emerging Capability

00 - Introduction Six years ago, COVID caused an estimated 7 million deaths in its first two years and trillions of dollars in damage. Whatever you believe about its origins, there was some comfort in

25
53
226
103,853
Lan Jiang retweeted
America is banning AI in schools. China is using AI to create geniuses. Introducing Aristotle: The AI tutor that solves America’s broken education system. heyaristotle.com
416
460
3,354
1,422,098
Lan Jiang retweeted
What do @tonioloko (Dandy), @mntruell (Cursor), and @laurenmhreeder (Sequoia) have in common? While in school, they were all DRFers. Once they graduated, they stuck around. It's the final countdown, apply to join the best group in venture by Thursday, 9/17 @ 11:59pm ET!
2
10
26
33,932