Air Street Press

Nathan Benaich (Air Street Capital)

As an AI-native investor, we believe it’s important to be a hands-on contributor to the community. Since our earliest days, we’ve been building in public - whether that’s sharing our perspectives on the direction of the field, emerging best practice for building AI-first companies, organizing meet-ups, and campaigning for policy change. Air Street Press brings together all of our content under one umbrella. Subscribe to listen to our analysis, portfolio news, Guide to AI monthly newsletter, annual State of AI Report, and our policy work.

  1. 3d ago

    From discovery to design: in conversation with Ali Madani (Profluent)

    Over the past few weeks, it’s been hard to keep up with AI in biology. Profluent signed a $2.25B partnership with Eli Lilly on AI-designed gene editors, Verve put out striking base-editing data, CZ Biohub published new scaling results on protein models, and Isomorphic Labs pulled in another large raise. I couldn’t think of anyone better to discuss this with than Ali Madani, the founder and CEO of Profluent. Profluent is an AI lab building frontier models to design proteins, with the goal of taking medicine from discovering molecules nature already made to designing the ones it didn’t. I first read Ali’s ProGen paper back in 2021, DMed him on then Twitter, and wrote the largest first check from Air Street Capital into the company at inception. Last month, Profluent announced a $2.25B deal with Eli Lilly, one of the largest to date between a frontier AI biology lab and big pharma. We discuss the shift from discovery to design, why Profluent bet sequence-first while others went structure-first, the Lilly deal and large-scale DNA editing, fine-scale base editing, whether LLM-style scaling laws hold for proteins, and much more. You can either watch the interview in full here or on YouTube or read the transcript below. Timestamp timeline 0:00 – Teaser: AI-designed molecules & the $2.25B Lilly deal 0:22 – Intros: Nathan Benaich (Air Street Capital) & Ali Madani (Profluent) 2:10 – What is Profluent, and why AI matters 5:45 – The landscape: readers vs. writers 7:45 – Profluent’s edge: 100B+ sequences and a wet lab 9:20 – OpenCRISPR and the exponential curve 12:55 – Why sequence beats structure 14:50 – The Eli Lilly deal and large gene insertion 16:20 – Fine-scale vs. large-scale editing 18:00 – Why it’s hard: the pre-AI era and the activity/specificity trade-off 20:45 – The Verve news, and scaling beyond one-offs 23:45 – Rare vs. common disease 26:10 – “What do you know that no one else does?” 27:40 – bio × AI is an undersaturated field 32:40 – When will a top-10 pharma be AI-first? 34:30 – Every molecule will be designed with AI Timestamp

    38 min
  2. May 4

    State of AI · May 2026: cyber threshold, China parity, agents in real markets

    The April 2026 issue of State of AI from Air Street Press. The through-line: frontier AI moved from benchmark progress to operational capability across cyber, coding, agents, and capital formation. Two frontier models cleared the UK AI Security Institute's 32-step end-to-end cyber-attack range in a single month, and AISI now estimates frontier cyber-offence is doubling every four months, down from seven months at the end of last year. We unpack what that means for the public cybersecurity stack. Microsoft and OpenAI reset their 2019 deal to non-exclusive while keeping Microsoft as primary cloud partner. Anthropic stacked another $40B from Google, $5B from Amazon (with $100B of AWS spend), and chip deals with Google and Broadcom reportedly worth hundreds of billions, and is reportedly already raising again at a $900B valuation. Sam Altman's Axios essay sketched a "superintelligence New Deal" in explicit FDR terms. Four Chinese labs (Z.ai, MiniMax, Moonshot, DeepSeek) released open-weights coding models inside a 12-day window, all landing at roughly the same capability ceiling as Claude Opus 4.6 and GPT-5.4 on agentic engineering. NIST's CAISI evaluation puts the aggregate gap closer to eight months. Both are true. Anthropic's Project Deal ran a classified marketplace of 69 Claude agents and reported that stronger agents won, and the losers did not realise it. KellyBench (from Air Street portfolio company General Reasoning) watched every frontier model lose money on a Premier League betting season under non-stationarity. Ramp's procurement agents run 3× faster. Plus eight research papers worth keeping (π0.7, the Ríos-García epistemology paper, ClawBench, the FAIR experience-replay paper, Agent-World, and others), April Investments (Ineffable Intelligence's $1.1B seed, Saronic, Cognition's $25B talks, Cursor's $50B+ talks), and Exits (Skild and Zebra, SpaceX and Cursor, OpenAI and Hiro, Cohere and Aleph Alpha, China blocking Meta's acquisition of Manus).

    28 min

About

As an AI-native investor, we believe it’s important to be a hands-on contributor to the community. Since our earliest days, we’ve been building in public - whether that’s sharing our perspectives on the direction of the field, emerging best practice for building AI-first companies, organizing meet-ups, and campaigning for policy change. Air Street Press brings together all of our content under one umbrella. Subscribe to listen to our analysis, portfolio news, Guide to AI monthly newsletter, annual State of AI Report, and our policy work.