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Aaron Levie
Box
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@levie

Aaron Levie

Box
@levie
ceo @box - your business lives in content. unleash it with AI
Bay Area
box.com
Joined March 2007
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  • @levie
    Aaron Levie
    Box
    @levie
    3h
    Now that the base open weights AI models are getting far better, and post training infra is becoming more mature and commercialized, there are going to be all new plays for companies that have large amounts of data to have their own models. Licensing data for external model
    @zachmoskow
    Zach Moskow
    @zachmoskow
    Aug 31
    CRAZIEST AI story of the week. Thomson Reuters just launched an LLM called Thomson. It starts with Qwen3.5-397B, then is continually trained on 175 years of proprietary legal, tax, accounting, and news data. They spent $40M on it. Two years ago, Thomson Reuters bought a
    24
  • @levie
    Aaron Levie
    Box
    @levie
    10h
    As AI security events pick up, it’s going to be critical that we have the most sophisticated AI agents for being able to detect and prevent security issues. Frontier models are clearly still ahead in cyber, but open models are catching up quickly. Wild times.
    @EnclaveAI
    Enclave
    @EnclaveAI
    15h
    We raced 7 frontier models to RCE. We gave them source code, a sandbox, and a target. The goal: find a vulnerability in a large codebase, exploit it, and execute a command. What we learned looking at different models detailed in the full methodology ➡️ enclave.ai/hackingrace
    18
  • @levie
    Aaron Levie
    Box
    @levie
    Aug 30
    Sometimes people don’t have an intuitive sense of what Jevons paradox looks like for token consumption. Those of us working with enterprises get to see this first hand every day. Basically enterprises have an unending stream of tasks that they’d love to be able to bring
    @OpenRouter
    OpenRouter
    @OpenRouter
    Aug 28
    What happened when GPT 5.6 Terra and Luna were heavily discounted on OpenRouter? Token usage exploded by 13.8x Jevons Paradox = as technology makes the use of a resource more efficient, total consumption of that resource increases rather than decreases 🧵
    61
  • @levie
    Aaron Levie
    Box
    @levie
    Aug 29
    The average strongly held belief these days in AI has a half life of 6 months at best. Here are just a few the industry has cycled through and probably has no consensus on at the moment: * OSS is too far behind to catch up * The labs can’t be profitable at scale * All
    @jaltma
    Jack Altman
    Benchmark
    @jaltma
    Aug 28
    One of the most important things to know about this AI cycle is that no one knows what they're talking and even very smart and plugged in people are continually reversing their opinions and then re-reversing them three months later.
    80
  • @levie
    Aaron Levie
    Box
    @levie
    Aug 28
    This week’s tech earnings calls were a critical reminder of how valuable the relationship is between software and AI. Software provides the guardrails for how data is managed, how business logic in workflows are maintained, how you manage and govern access to information, how
    @DavidSacks
    David Sacks
    The All-In Podcast
    @DavidSacks
    Aug 27
    The “AI capex is a bubble” and “SaaS is dead” narratives getting shredded this morning. NVDA +8%, SFDC +20%. NVDA: $96B q2 revenue (+106%), ~$60B net income, 75% gross margin. Highest core-business quarterly profit ever. Guided FY28 rev +70% vs Street exp 45% — and that’s a
    46