AI Summary
5 min readOpenAI’s Ari Weinstein and James Sun joined a16z’s Seema Amble and Fabrizio Serafini to discuss how computer-using agents have crossed a critical threshold: they are now faster than the average human at using software, and are approaching superhuman speed. The conversation covered what this means for enterprise workflows, consumer experiences, and the design of software itself, with a strong emphasis on the practical conditions under which agents can be trusted and deployed.
What Astra Unlocked
The latest model, Astra, didn’t invent computer use from scratch—earlier models like o1 were already capable. But Astra brought several improvements that matter in practice. It is faster because it uses fewer “thinking tokens” to complete the same task. It is more reliable around the edges: the difference between 97% and 99% reliability is hard to measure but feels concrete when you are trusting an agent with real work. Astra is also OpenAI’s most aligned model, meaning it is significantly better at resisting prompt injection and avoiding unintended actions. Internally, it beats earlier models at playing video games (it completed Fallout in 30 hours), which Weinstein noted probably translates to other complex, multi-step tasks. For enterprise users, the alignment improvements matter most: “you’re gonna feel a lot safer kind of using it,” Sun said.
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What you'll learn
- 1 (00:00) **Computer Use Speed Crosses Human Threshold** - Ari Weinstein states that OpenAI's computer use is now faster than the average human and approaching superhuman speed.
- 2 (01:21) **Episode Overview: Computer Using Agents** - The hosts set up the conversation around agents that click buttons and navigate software without dedicated APIs.
- 3 (02:18) **What the Astra Model Unlocked** - Ari and James explain how the new Astra model specifically improves computer use.
- 4 (04:24) **Consumer vs. Enterprise Use Cases** - The group contrasts the different implications and excitement levels for consumer and enterprise applications of computer-using agents.
- 5 (06:18) **Dots: Proactive Agent Workflows** - James describes how he personally uses "Dots" (proactive agents) for both personal and professional tasks.
- 6 (08:37) **Balancing Speed, Reliability, and Cost** - The team discusses the strategic trade-offs in improving computer use performance.
- 7 (11:49) **The Response from Application Software** - The conversation turns to how software companies react to agents accessing their platforms.
+ Full timestamped outline available in the app
Show Notes
AI agents are approaching a point where they can use computers faster than expert humans, turning the user interface itself into a universal way for AI to interact with software. OpenAI’s Ari Weinstein and James Sun argue that computer use is now entering its scaling moment, as better models, faster execution, and stronger safety controls make agents practical for more consumer and enterprise work.
Ari and James join a16z’s Seema Amble and Fabrizio Serafini to explain how computer-using agents are already navigating legacy ERPs, reconciling financial data, handling procurement, and operating software without APIs or custom integrations. They also discuss why the harness around the model can matter as much as model intelligence, how enterprises can set deterministic guardrails around agent behavior, and why computer use could simultaneously extend the life of legacy software and accelerate the arrival of new AI-native applications.
Looking ahead, they make the case for a more proactive and fluid relationship with computers, where agents work in the background, collaborate with users in real time, and increasingly adapt to us rather than requiring us to learn how to use them.
Resources:
Follow Seema Amble on X: https://x.com/seema_amble
Follow Fabrizio Serafini on X: https://x.com/fabserafini
Follow Ari Weinstein on X: https://x.com/AriX
Follow James Sun on X: https://x.com/JamesZmSun
Related a16z research from Seema Amble and Fabrizio Serafini: Can Agents Use a Computer Yet? We’ve Got the Data
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see