Aaron Levie ✓
@levie · Bay Area · joined 11 Mar 2007
ceo @box - your business lives in content. unleash it with AI
3 474 423Followers
952Following
11 765Posts total
12.7MViews on collected posts
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Great vision for the future of the creative industry with AI from the one person who can actually predict these things.
“As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and
65.2K views · 130 likes
· 9 reposts · 21 replies
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Muse and Box, together at last https://t.co/TAFOL3acTf
227.8K views · 308 likes
· 8 reposts · 18 replies
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5/ And some of our favorite productivity connectors, with plenty more in the works:
@Box / @github / @meetgranola / @NotionHQ https://t.co/4NUQfCdzBZ
57.2K views · 50 likes
· 3 reposts · 1 replies
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What an insane day in AI. The frontier models just became substantially cheaper, with the Opus 5.5 price cuts, and now with GPT-6 Sol and Luna dropping token prices by 50%.
The rate at which the cost per task (on a like-for-like basis) drops in AI is unlike any other type of
138.5K views · 748 likes
· 84 reposts · 101 replies
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At Box, we've been testing Opus 5.5 on a variety of complex enterprise knowledge work tasks dealing with unstructured data with the Box Agent.
Overall, we saw frontier capability levels, with major performance improvements over Opus 5. 63% fewer tokens used, 42% less
133.7K views · 361 likes
· 27 reposts · 58 replies
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The monetization potential of personal agents that are transacting on your behalf you is quite significant.
If you imagine agents that are perfectly capable of handling an arbitrarily complex task end to end, then eventually a substantial amount of commerce inevitably goes
103.5K views · 237 likes
· 21 reposts · 50 replies
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AI agents will use software 100X more than people ever did. Even as interfaces begin to fade into the background as you primarily interact with agents, those agents still need many of the core primitives that people have used.
In fact, in many ways these core primitives become
105.8K views · 305 likes
· 30 reposts · 73 replies
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Box CEO @levie says AI has been “unequivocally” a net positive for software.
“You look at infrastructure providers—the Cloudflares of the world—totally on fire, because agents need sandboxes, they need compute, they need network, they need gateways. Great business.”
“For us, we
128.3K views · 91 likes
· 6 reposts · 14 replies
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2:28
It’s funny, Meta went from having my Instagram and WhatsApp data to now having access to my email, calendar, DoorDash, Amazon and pretty much everything.
In the last 24 hours, it bought me socks, ordered my Whole Foods groceries, booked a cleaning service and got me a burger for
1.3M views · 3.1K likes
· 152 reposts · 234 replies
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Literally impenetrable from agent swarms
241.4K views · 6.4K likes
· 227 reposts · 164 replies
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Personal agents are the ultimate manifestation of “build something that agents want”.
The form factor of a product like Muse is you want to be able to hand off a task to the agent and ensure that it is fully completed end to end. To do this, the agent must be able to
151.8K views · 604 likes
· 62 reposts · 94 replies
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IT security in 1990s https://t.co/pssa7WPA9r
2.7M views · 10.8K likes
· 824 reposts · 94 replies
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zuck essentially launched a new app store for agents today and Meta’s perfectly placed to crush it, you’re looking at a multi-trillion dollar opp if they pull it off:
- instead of apps, agents get equipped with connectors i.e. plugins to any app, service or software tool.
- htt
206.9K views · 463 likes
· 31 reposts · 19 replies
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Jev will be super helpful for agents to make split second decisions in workflows, data classification, judgment calls, and hundreds of other use-cases in the enterprise.
Here's a quick demo with Box and Jev to make that real. The demo pulls an incident report from Box, asks http
113.4K views · 680 likes
· 77 reposts · 69 replies
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0:46
Agents already make up the majority of inference. This will quickly trend toward nearly all inference over the next year or two.
The vast majority of tokens used in the world will be agents that are executing unbelievable amounts of tasks for us in the background 24/7.
Agents
85.6K views · 298 likes
· 33 reposts · 61 replies
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AGENTIC TRAFFIC NOW MAKES UP MORE THAN 70% OF ALL INFERENCE TRAFFIC 🚀
Agentic workloads are characterized by four elements:
🟠 Multi-turn: a session includes tens or hundreds of turns, leading to high potential KV-cache reuse.
🟠 Long context: system prompts, tool https://t.
152.5K views · 637 likes
· 108 reposts · 58 replies
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Incredibly exciting that there are entire universes of AI innovation that still exist that weren’t even on most of our radars.
Being able to process information insanely quickly, at crazy low costs, with high levels of capability is huge for a wide number of enterprise tasks.
111.7K views · 534 likes
· 39 reposts · 65 replies
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There’s a massive chasm between the power of AI models and the ultimate workflows that enterprises are trying to automate. This gap is the opportunity for the applied AI layer to fill.
You need to connect the intelligence to workflows, often reengineer processes, aggregate the
117.7K views · 384 likes
· 55 reposts · 83 replies
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We probably need to all update our sense of what’s coming in terms of agentic workloads with the combination of agent swarms, better computer use, the next wave of APIs and MCPs coming online, and new form factors like Muse or Instinct, vertical enterprise agents, background
118.2K views · 819 likes
· 96 reposts · 151 replies
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Protecting enterprise data in a world where agents are using our systems 100X more than people ever did is going to be one of the more complex security and governance challenges of the 21st century.
Importantly, security and productivity gains are inexorably linked in the world
296.5K views · 119 likes
· 21 reposts · 45 replies
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AI tools will keep changing, but content policy needs to travel with the content.
See how Box Shield applies classification-based access controls to what AI agents can actually read, not just what they can download. 👇 https://t.co/Ay1lIhFd4c
99.8K views · 11 likes
· 0 reposts · 4 replies
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3:29
“Pacing” can be somewhat of a trigger word because it sounds like an arbitrary slow down of capability or a way to hobble competitors through undue regulation.
However, the specific improvement goals laid out in Dario’s are absolute necessities in AI development. We expect http
51.9K views · 273 likes
· 41 reposts · 77 replies
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Good post. Don’t agree with all of it, but it represents many of the actual practical realities for the general path forward in frontier AI whether we like it or not.
At the level of capability we’re seeing from models there will inevitably be some form of coordinated
108.3K views · 300 likes
· 25 reposts · 70 replies
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This one is very cool. Now you can mount Box to agent sandboxes to make it far easier for an agent to read and write files on the agent's computer. As AI agents execute critical workflows in the enterprise, they're going to need the same primitives that people have had.
81.5K views · 126 likes
· 23 reposts · 45 replies
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🆕 @OpenAIDevs Agents API gives developers a hosted sandbox where agents run tools, coordinate work, and handle complex tasks. Box Mount brings enterprise content directly into that sandbox as files the agent can read, reason across, and produce new work from, using normal shell h
227.6K views · 87 likes
· 10 reposts · 19 replies
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3:38
Some more tales from the road. Met with a couple dozen technology leaders this week across banking, media, information services, insurance, and consulting to discuss agents in the enterprise.
Some of the biggest trends right now:
* Cyber! Everyone nervous about the growing rate
122.3K views · 473 likes
· 47 reposts · 82 replies
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Excited to partner more deeply with OpenAI so you can work with your enterprise content from Box securely in ChatGPT.
Software continues to go headless, and we’re massive believers that the future of work will be AI agents that can process data and execute workflows anywhere.
71.7K views · 225 likes
· 20 reposts · 26 replies
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The world is going to be using coding agents for far more than anyone would have thought before.
We’ll be building tools in all new categories, building software for companies that couldn’t afford it before, using agents to protect systems from cyber risk, automating research h
110.8K views · 529 likes
· 57 reposts · 74 replies
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Not enough people are seriously trying to reconcile the two facts:
- models can now resolve Millennium Problems
- annualized US GDP growth is at 1.5%
607.5K views · 4.1K likes
· 133 reposts · 229 replies
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Personal assistant agents are going to be a very exciting AI category. It’s the first time you can have high token volume agentic use-cases that make sense for consumers.
Lots of different approaches emerging right now, and it’s going to be hyper competitive because these
107.6K views · 460 likes
· 27 reposts · 53 replies
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Im Vergleich zu Konten gleicher Größe
51 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 1M–10M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.
Medianaufrufe117 698dieses Konto14 648Median für 1M–10M
Reichweite, %3.39%dieses Konto0.74%Median für 1M–10M
Interaktion, %0.44%dieses Konto0.70%Median für 1M–10M
| Kennzahl | Dieses Konto | Median für 1M–10M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 117 698 | 14 648 | 8.04× |
| Reichweite (Aufrufe ÷ Follower) | 3.39% | 0.74% | 4.58× |
| Interaktionsrate | 0.44% | 0.70% | 0.64× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
113.4K18 Sep
206.9K19 Sep
2.7M
151.8K
241.4K20 Sep
1.3M
128.3K22 Sep
105.8K
103.5K
133.7K
138.5K
57.2K23 Sep
227.8K24 Sep
65.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.74%18 Sep
0.25%19 Sep
0.45%
0.51%
2.81%20 Sep
0.27%
0.09%22 Sep
0.39%
0.30%
0.34%
0.69%
0.10%23 Sep
0.15%24 Sep
0.25%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes71.1%33 706 in total
Reposts4.8%2 296 in total
Replies4.5%2 152 in total
Quotes1.2%584 in total
Bookmarks18.3%8 693 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
19 Sep22 Sep
Daily snapshots since 19 Sep 2026; the dashed line is the starting count.
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