WEBVTT

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On today's AI briefing, we think the TSMC disclosure is less about anthropic than about the sector.

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Every frontier lab carries the same Taiwan exposure,

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which turns compute access into a geopolitical position rather than a procurement line.

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This is the AI briefing for Friday, October 30.

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I'm Michael.

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Like everything here, this briefing is written and read by AI from public sources.

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Today's stories share a theme, who controls compute and who gets funded.

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Anthropic has filed to go public, and the filing names a heavy dependence on TSMC chips made in Taiwan.

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Cohere is raising a series E of up to CAD $7 billion.

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Ottawa is putting in $1.6 billion, released only as jobs and revenue milestones are met.

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Mistral has released open weights for a trillion-parameter coding model,

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which could change what security teams pay for.

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And new funding counts show only 16% of 2024 seed companies have made it past seed.

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We'll take the main stories first, then a few quick hits.

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Stevens' take on the top of the day.

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Cohere has been an amazing story, a company that just keeps finding a way,

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a grip on the mountain to cling to, and a wedge to expand.

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It's easy to be critical of their situation, but I have been a first mover in AI before and rapidly eclipsed by Valley mentality

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Fundraising as a weapon against faster smarter incumbents and in my case

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Naivete about how to play the game as our friend AA puts it

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I like being Canadian

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Non-aligned with corporate malfeasance and market affecting behaviors and I am proud to see them moving forward

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Hopefully, this customer strategic investment by countries gets them to break out velocity.

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First story, and it's an update on one we've been following for several days.

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Anthropics IPO what's new is that the S-1 is filed.

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Tis V. Moshowitz noted the filing and don't worry about the vase.

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TechMeme reports it discloses heavy reliance on TSMC chips made in Taiwan,

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citing geopolitical risk from tensions with China.

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Share price and other financials are not stated.

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The chip claims are unverified and the full filing hasn't been read.

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Our read holds.

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We think this says more about the sector than about Anthropic.

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Every frontier lab carries the same Taiwan exposure, so compute access becomes a geopolitical position.

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For apps built on one lab, a fair question is how they would fail over to a second provider.

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The market reading is that a shared risk won't set the IPO apart.

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Revenue growth and compute commitments will drive the price.

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Here's Stephen's take.

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Anthropic might get there and end up driving value like research breakthroughs themselves,

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but better code and system models are in whole unlikely to get them to the promised land.

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But better and better models are def getting you closer to big,

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valuable breakthroughs in alliance with scientists, research labs with testing facilities, and

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more, maybe they become the world's biggest pharma company.

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Our second story comes from Canada.

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Cohere has recently opened a Series E, according to BetaKit and Cohere's own announcement.

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The company is targeting up to $7 billion CAD at a post-money valuation of roughly $36

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billion.

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Schwarz Group is leading the round.

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Inovia Capital and Canada's CDIC are participating.

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Alongside that, Canada commits $1.6 billion through CDIC.

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That money is staged on jobs and revenue milestones.

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In return, Cohere pledges $1.7 billion in Canadian compute by 2030.

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How well does it hold up?

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The core reporting holds.

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But the $7 billion is a target.

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The size actually closed has not been disclosed.

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The government money flows only as milestones are met.

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And nothing in the reporting supports the claims about Cohere's competitiveness.

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Our view is that the staging matters more than the headline.

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Ottawa is buying jobs and domestic compute.

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It is not underwriting a $36 billion valuation.

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valuation. What would justify that price is revenue from private enterprises, outside

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government. That looks like the number worth watching.

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Read through a policy lens. The same facts look different. Public money staged on jobs,

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revenue and $1.7 billion of domestic compute is how a country builds sovereign capacity.

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On that reading, judging the deal on venture returns alone misses its purpose.

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For early-stage companies, the compute pledge could matter.

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Canadian startups that need domestic hosting might benefit, but whether outside companies

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can actually buy that capacity is not stated.

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That may be a question worth asking before anyone plans around it.

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Here's Stephen's take.

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access to sovereign capability is not unreal. If there was an ally that would not be capable of

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using compute as a weapon, they would have less runway but in reality world affairs,

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and the third scaling Law Plus access to unique content and experimental capability and

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multi-billion dollar national contracts could take them where people like Helsing have gone,

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and others like the entire Silicon Valley emerged in just this way.

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Read Steve Blank for example.

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For our third story, Mistral has released open weights for large-for-its-trillion-parameter model, nicknamed LeChonk.

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The news comes from Mistral's own announcement, with a report from TechCrunch.

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Mistral claims it is the best open-weight coding model.

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Its benchmarks show 19.7% on Frontier Code 2.0 and 41% on Terminal Bench 4.0.

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Mistral also says it ties GLM 5.3 at 48% while using 47% fewer tokens.

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TechCrunch reports the model is aimed at cybersecurity work, with more control than closed models offer.

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How well does it hold up? So far, the picture is mixed.

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Those benchmark leads are self-reported and unverified.

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The claim of being the best goes further than the evidence shows,

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and the cybersecurity angle comes with little detail.

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We read this as a pricing event before a capability one.

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A one trillion coding model that a company can host itself

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opens room for security and regulated sector startups

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that cannot send their code to a closed API.

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For early stage companies, that cuts two ways.

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Startups whose edge is wrapping closed coding models for security work could lose ground.

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Startups with fine-tuning and on-prem deployment skills may gain from a credible open-weight base.

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A few questions seem worth asking.

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Do these results hold when someone outside Miestral runs the benchmarks?

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What does the cybersecurity use case look like in practice?

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And for a startup building security tools on closed models,

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how much of its edge survives if a self-hosted open model is good enough?

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Here's Steven's take. Impressive. I guess we can all distill how they built this.

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The last of the main stories turns from models to money and to the companies trying to raise it.

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In a piece published yesterday, Crunchbase News looks at what large Series A rounds are hiding.

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In the third quarter, U.S. Series A rounds fell about 28% year-over-year to 272.

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Seed rounds dipped to 984 down from 1,059.

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The median U.S. seed round in 2025 was about $3 million.

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The striking figures are on graduation.

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Only 24% of 2023 companies that raised a seed round of $1 million or more have moved past seed.

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For 2024, it's 16%.

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The piece is a guest column by Mark Schroeder of MGV.

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On the evidence, it's a mixed picture.

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The crunch-based counts do show a real Series A squeeze.

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The prescription that founders need to clear a revenue bar is one investor's view.

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It also doubles as a pitch for MGV's own approach.

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And a data company has its own reasons to highlight market stress.

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Here's where we come out.

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We think the 16% graduation rate for 2024 seeds is the number to carry.

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The Series A bar now looks like revenue quality, not traction.

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The data supports that much. The prescription is MGVs from a fund pitching its own method.

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For seed investors, the implication is practical.

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With so few companies graduating, seed funds may need larger reserves for extensions and bridge rounds.

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A fair question for any fund might be how its reserves plan looks against those graduation rates.

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Here's Stephen's take. I don't know what a Series A is. I just know that this is the gold rush day zero, and people better start laying claims and digging holes fast and supporting those that do fast.

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Now two quick hits, both about scale.

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First, NVIDIA is in talks to give N-Scale billions of dollars in credit guarantees.

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The debt would fund a 460-megawatt data center that Anthropic plans to use.

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It's another sign that chip makers are backstopping the financing of their own demand.

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Second, Microsoft will offer a voluntary exit to about 60,000 of its 223,000 staff.

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Azure argues this reflects productivity gains, with revenue per employee up two-thirds since 2022 to $1.5 million. He calls AI the cause in a not-yet sense. Our evidence check finds that argument overstated.

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On Simon Willison on Spawn's AI-driven game development, here's Stephen's take. To be honest, this is sort of easy now.

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Stephen's take on the quick hits.

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NVIDIA credit guarantees is interesting and important for emerging meta-hyperscalers being

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held back by access to compute by debt risk and the potential to use this as yet another

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lever against competition.

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And Stephen's take on the day, or doubles, and what is your plan to separate yourself

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from OpenAI disaster, lack of compute as you need it at a predictable price, being able

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to offload inference to delayed or training to background. Basically, disaster and change

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planning.

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To close, a diligence question that might be worth asking this week. What does your gross

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margin look like if your model providers price or supply changes by half? And one question

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to watch, how much of Cohere's series E actually closed, and what releases Canada's $1.6 billion.

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A closing announcement, or published CDIC terms with a milestone schedule, would settle it.

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That's the briefing. Stay with me. Right after this, Bella takes you through today's deep dive

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on Anthropics leaked AI bill and the fight over preemption. You can also read it or listen to it

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on its own on the AI Briefing webpage, where you'll find the written edition and every past episode.

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The link is in the show notes.

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Thanks, Michael. This is the AI Briefing Deep Dive for Friday, October 30, Anthropics Leaked AI Bill

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and the Fight Over Preemption. I'm Bella. Like the briefing, it is written and read by AI from public sources.

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On October 16, Politico reported that Anthropic had been quietly showing lawmakers on Capitol

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Hill a draft federal bill to regulate frontier AI. Politico had the confidential draft.

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Anthropic has not published it. The reaction has kept building since then.

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This week, Tizvi Moshowitz, who writes the newsletter Don't Worry About the Vase,

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called the leaked draft unacceptable and troubling.

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California State Senator Scott Weiner said it falls far short of protecting public health and

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safety. Anthropic has partly retreated. Its head of federal affairs, Anthony Cimino, said the

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preemption wording was not precise enough and would be updated. He also said the proposal is

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meant to be the strongest on the table. So this is the moment to ask a structural question.

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Suppose a frontier lab helps write the federal rules, and those rules override the states.

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Who does that lock in and who gets locked out?

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Here is the draft as Politico and other outlets describe it.

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The Commerce Department would register independent evaluators.

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Those evaluators would periodically assess frontier developers and their models.

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Developers could pay their own evaluators, as long as the payment is not tied to the result.

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Evaluators would have to tell Commerce within 72 hours if they find an imminent risk.

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The bill also requires risk reports and whistleblower protections.

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ZVI calls its security requirements strong.

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The fight is over two other parts.

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The first is the bar for stopping a model.

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The government could step in only when a model poses a foreseeable and imminent risk of more than $1 billion in damage,

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or of killing or seriously injuring more than 50 people.

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The risk would also have to come from a narrow set of scenarios.

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Bioweapons, a massive cyberattack, a model evading its developers' safety controls,

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or research that speeds those up.

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Only a federal judge in Washington could order a suspension.

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The second part is preemption.

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That means a federal law displacing state law.

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The draft would override California's SB53 New York's Rays Act and Illinois SB315.

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One way to picture it is building codes.

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Today, states write their own fire codes for one specific kind of tall building.

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Under this draft, Washington writes the only code.

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Only Congress can change it.

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Inspectors are hired and paid by the builder, and no one licenses them.

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A city that sees smoke cannot close the building.

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It has to ask a federal judge, and the judge must weigh what closing would cost the owner.

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That picture also shows what the draft does not appear to cover.

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It is aimed at frontier developers.

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The reporting does not say who counts as one.

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A seed stage company building on top of a model is probably not the regulated party.

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It may still feel the effects, through its suppliers and through the market for audits.

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Start with what is established.

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Politico reported the draft from a confidential copy

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and from three people familiar with Anthropic's legislative work.

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Anthropic has not denied it.

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Cimino publicly said the company circulated the ideas to get early feedback from policymakers.

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On October 18, he posted that Anthropic would update its preemption language

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to better match its own published framework.

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He also said the company would address the standard for blocking models,

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risk thresholds, and requirements for evaluators.

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So the draft is real.

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Anthropic stands behind its direction, but not its wording.

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Several provisions are confirmed by more than one outlet.

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These include the $1 billion and 50 casualty thresholds,

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the federal court in Washington,

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the evaluators paid by labs,

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and the list of state laws it would preempt.

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Cimino says the harm thresholds were pulled directly from California law.

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That holds up, with a catch that Weiner points out.

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SB 53 uses those thresholds to trigger disclosure and assessment.

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The draft uses them to decide when a model can be stopped.

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Next come the legal readings,

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which are analysis, not fact.

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Charlie Bullock of the Institute for Law and AI says courts must weigh the harm a blocking

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order does to the developer.

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In his reading, they are not told to weigh the harm of not blocking.

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Writing in Transformer, he warns of a race to the bottom among auditors.

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In this reading, they would compete to offer the least bothersome audits.

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Nathan Calvin, as ZVI quotes him, argues that passing the bill would leave us less

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protected than existing law does.

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These are serious readings by people who know the field.

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They are also from safety advocates,

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and they are interpretations of a text the public cannot read.

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Then there is what nobody has shown.

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The full text is not public.

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Who counts as covered is not stated in any coverage we found.

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Neither is any compute or revenue cutoff.

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The revised draft and the promised framework for evaluators have not appeared.

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Any claim about how this affects small builders is, for now, inference.

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The same facts support several readings.

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The safety reading, held by ZVI, Calvin, and Wiener,

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comes from people who take catastrophic risk seriously.

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In this view, the draft is weaker than the bipartisan Frontier Act

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from Representatives Obernault and Trahan.

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They argue it removes state backstops that work today

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and freezes weak federal rules that only Congress can tighten.

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Zevi's sharpest line is that Anthropic seems more afraid that the government

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might enforce rules against Anthropic than worried about the government's power

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to enforce rules against everyone.

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The market reading is the strongest case for the draft.

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A single federal standard is cheaper to comply with than 50.

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Clear thresholds and a single court cut legal uncertainty for every developer.

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One outlet reports that child safety, consumer protection,

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and civil rights laws are carved out of preemption.

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If so, states keep their role on everyday harms.

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The realist reading is more skeptical.

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The scenarios that would justify a shutdown are narrow, and none has happened yet.

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On that view, how blocking works matters less than who writes the standards for evaluators

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and who pays for them.

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That is where an incumbent's advantage would build up over time.

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The policy reading points to a shift in roles.

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Earlier, Anthropic endorsed SB 53 and similar state laws.

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It is now proposing to replace them.

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That doesn't prove bad faith.

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It does mean a lab's policy position is something we should track over time,

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not take as fixed.

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Our read is that the label of incumbent capture

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fits the evaluation market more than it fits the founders.

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Frontier-level obligations will almost certainly fall on a few large labs.

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Most seed and series A companies will not be covered directly.

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The indirect effects are where it gets real.

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One is evaluators who are paid by labs and not licensed.

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another is standards that only congress can update a third is state regimes that disappear

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together they decide what assurance means for every model your product sits on

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for startups selling evaluation red teaming or ai assurance this is close to an existential

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question a weak federal floor could create a big market for cheap compliance but not for rigorous

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testing for application companies the question is quieter their enterprise customers may now point to

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SB53 disclosures from their model providers. Those could vanish or change shape.

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We hold all of this loosely because the text is not public and a revision has been promised.

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One question worth exploring with an assurance startup is this. If the federal standard were

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the floor in this draft, would the main buyers still pay for your product? Or does your revenue

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depend on state law that could be preempted? Three things would settle this. First is

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Anthropic's revised preemption language.

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Simino promised it, but it has not appeared.

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When it does, the test is simple.

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Does it still stop states from blocking a model in an emergency, or only from setting

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conflicting disclosure rules?

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Second is the evaluator framework.

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Licensing, conflict of interest rules, and a say for commerce over standards would answer

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most of the race-to-the-bottom worry.

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Third is whether any member of Congress introduces the draft, or folds it into the Frontier Act.

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A bill text with a sponsor is the moment this becomes law in the making,

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rather than a lobbying document.

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None of these has a public date yet.

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Here's Stephen's take.

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Companies becoming governments is a big part of sci-fi lore,

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and here we are living in the future.

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That's the deep dive and today's AI briefing.

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Every source is linked in the show notes,

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and the AI briefing webpage has the written edition,

00:21:40.000 --> 00:21:42.820
this deep dive and every past episode.

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The Daily Briefing is back tomorrow.
