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Are the right AI rules... zero rules? Not for Little Tech.

To ensure AI thrives in the long run—and that startups can compete at the frontier—we need smart regulation. Here’s what we believe at @a16z 🧵
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What does it mean to serve clients well as AI changes the practice of law?

@harvey’s chief legal officer John LaBarre on how lawyers’ professional responsibilities could evolve alongside the technology.
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Replying to @MattPerault
How AI is Changing the Practice of Law with @harvey: a16zpolicy.substack.com/p/how-ai-is-ch…
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Matt Perault retweeted
I’m pleased to welcome Andy Baker as an advisor to a16z Global Affairs. I’ve valued Andy’s perspective on national security and look forward to working together to help our founders build partnerships that strengthen America and our allies.
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Are coaches too quick to bench players in foul trouble?

College basketball tips off this week, and with it comes a familiar ritual: a player picks up a second foul in the first half, and the coach sends him to the bench. Same with a third foul early in the second half, or a ut in many of these games, the benched player never even fouls out. Coaches guarantee their best players lose minutes to avoid the risk that they might lose minutes.

It’s coaching orthodoxy, but it costs teams points and wins.

In a post out today on my personal blog, I explore protective benching, its costs, and how to fix it.
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As we’ve talked to AI builders and operators, a recurring theme is that AI makes it possible to do things that were previously too costly or impractical.

Law offers yet another useful example of that positive-sum potential. Greater efficiency makes it possible to do more at less , which can expand demand for legal services and create new opportunities for lawyers.

In our latest episode of the @a16z AI Policy Brief, I’m joined by @Harvey’s chief legal officer John LaBarre to discuss how AI is changing the practice of law.
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Replying to @MattPerault
Our full conversation on building AI-native legal teams, expanding access to justice, and the policies shaping the future of legal work: Listen here: a16zpolicy.substack.com/p/how-ai-is-ch…
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Policy certainty matters for any small startup, especially one building hardware. To feel confident making a $10 million investment in manufacturing equipment, a founder needs to know that US policy won’t reverse course a year later.

@DiodeInc’s @DavideAsnaghi sees the AI era as ity for American manufacturing. His message to policymakers is clear: durable, bipartisan support gives companies the confidence to invest and build in the US.
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Replying to @MattPerault
Watch our full conversation on how America’s AI progress can strengthen American manufacturing: a16zpolicy.substack.com/p/turning-amer…
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.@DiodeInc’s @DavideAsnaghi sees the potential for an empowering shift for American manufacturing workers: from rote inspections to overseeing entire production runs.

Automating repetitive inspections lets workers focus on understanding why a machine is making mistakes and the U.S. expands its manufacturing capacity, there is growing demand for more people who can do that work.
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Replying to @MattPerault
For more with @davideasnaghi on turning AI progress into a manufacturing advantage, see the full episode here: a16zpolicy.substack.com/p/turning-amer…
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One of the most compelling opportunities for AI is making it possible to build things that previously took too much time or cost too much to produce.

@DiodeInc’s @DavideAsnaghi explains how AI can compress machine-programming work from a year to days. For American hardware esign with manufacturing opens up new possibilities to scale production here at home.
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Replying to @MattPerault
See here for our full conversation: a16zpolicy.substack.com/p/turning-amer…
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How can America turn its strength in AI into a manufacturing advantage? A small team of engineers in Brooklyn is building the blueprint, starting with the printed circuit boards that power nearly every electronic device.

I spoke with @DiodeInc CEO @DavideAsnaghi about building factory workers better tools, and what it takes to grow US manufacturing.
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Replying to @MattPerault
Watch our conversation here, or listen wherever you get your podcasts: a16zpolicy.substack.com/p/turning-amer…
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Why are courts running college sports?

College sports has spent years moving from one lawsuit to the next. That’s partly because the industry has chosen a path that makes it difficult to develop and enforce stable rules.

In my first piece for a new Substack, the Sports Policy Institute, I look at why litigation has become the dominant tool for governing college sports, and how collective bargaining could create a more durable framework that keeps college sports out of courts.

sportspolicyinstitute.substack.com/p/why-are-cour…
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.@RayanKrishnan and @Glenn__Parham of @ValsAI explain the “domain transfer fallacy” in AI.

They argue that for a benchmark to be credible, it must test models on the real-world work they’re expected to perform. Better benchmarks give businesses and governments better evidence to for the job.
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Replying to @MattPerault
Check out our conversation on the growing market for AI evals: a16zpolicy.substack.com/p/measuring-ai…
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If a student took the SAT at home, proctored it themselves, and reported their own score, how much would you trust the result?

That’s @RayanKrishnan’s analogy for allowing model developers to run their own benchmark test sets.
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Replying to @MattPerault
My full conversation with the @ValsAI team covering the role of independent evaluators in AI: a16zpolicy.substack.com/p/measuring-ai…
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