Aaron Levie ✓
@levie · Bay Area · joined 11 Mar 2007
ceo @box - your business lives in content. unleash it with AI
3 416 734Followers
941Following
11 722Posts total
3.7MViews on collected posts
Against accounts of the same size
8 posts from the last 90 days, next to the 1M–10M follower range. ordinary reach for its size, weaker reaction than most.
| Metric | This account | Median for 1M–10M | Ratio |
|---|---|---|---|
| Median views per post | 113 131 | 66 438 | 1.70× |
| Reach (views ÷ followers) | 3.31% | 2.70% | 1.23× |
| Engagement rate | 0.45% | 1.45% | 0.31× |
Others in this range → Compare with another account → How these benchmarks are built →
Latest posts
This week is absolutely nuts for AI releases, and now a major new model update from Muse. We appear to be reaching escape velocity in capability progress.
If this thing gets released as open weights it completely changes the dynamic of US open weights competitiveness.
81.9K views · 496 likes
· 43 reposts · 28 replies
02 Sep 2026
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API.
Next up 🍉 and Muse Spark open weights releases coming soon. https://t.co/XQQEDEJGD7
2.4M views · 16.4K likes
· 1.3K reposts · 988 replies
02 Sep 2026
AI for cyber is about to go vertical. The models increasingly becoming insanely good at finding and exploiting vulnerabilities. Frontier models are ahead, but we’re already seeing that open weights is not far behind.
Most enterprises are already inundated with cyber discoveries,
143.4K views · 510 likes
· 69 reposts · 57 replies
02 Sep 2026
At Box, we’ve been testing Fable 5.1 in early release against our complex enterprise work eval. Fable 5.1 delivers a huge 7 percentage point jump over Fable 5 for unstructured data tasks in the enterprise.
On this updated test, we use the Box Agent with Fable 5.1 to work through
81.9K views · 281 likes
· 26 reposts · 48 replies
01 Sep 2026
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
126.8K views · 439 likes
· 44 reposts · 62 replies
01 Sep 2026
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.
78.1K views · 131 likes
· 17 reposts · 32 replies
31 Aug 2026
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 ➡️ https://t.co/q7lETFgCdH h
99.4K views · 56 likes
· 10 reposts · 4 replies
31 Aug 2026
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
652.8K views · 3.5K likes
· 245 reposts · 176 replies
31 Aug 2026
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