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Anthropic’s new AI model can see your screen and control your PC

Having an AI watch what you're doing on screen then helping you automate those things, or even comment and help with what you're doing, is great but it's also a cyber security nightmare.

Key takeaways

  • In a pitch to investors last spring, Anthropic said it intended to build Artificial Intelligence (AI) to power virtual assistants that could perform research, answer E-Mails, and handle other back-office jobs on their own.
  • Anthropic on Tuesday released an upgraded version of its Claude 3.5 Sonnet model that can understand and interact with any desktop app.
  • Companies seem to agree: According to a recent Capgemini survey, 10% of organizations already use AI agents and 82% will integrate them within the next three years.
Cite or link to this article

Griffin, M. (2024) 'Anthropic’s new AI model can see your screen and control your PC', 311 Institute, 4 November. Available at: https://www.311institute.com/anthropics-new-ai-model-can-see-your-screen-and-control-your-pc/ (Accessed: 1 October 2026).

In a pitch to investors last spring, Anthropic said it intended to build Artificial Intelligence (AI) to power virtual assistants that could perform research, answer E-Mails, and handle other back-office jobs on their own. The company referred to this as a “next-gen algorithm for AI self-teaching”, one it believed that could, if all goes according to plan, automate large portions of the economy someday. And it took a while, but that AI is starting to arrive.

Anthropic on Tuesday released an upgraded version of its Claude 3.5 Sonnet model that can understand and interact with any desktop app. Via a new “Computer Use” API, now in open beta, the model can imitate keystrokes, button clicks, and mouse gestures, essentially emulating a person sitting at a PC.

“We trained Claude to see what’s happening on a screen and then use the software tools available to carry out tasks,” Anthropic wrote in a blog post. “When a developer tasks Claude with using a piece of computer software and gives it the necessary access, Claude looks at screenshots of what’s visible to the user, then counts how many pixels vertically or horizontally it needs to move a cursor in order to click in the correct place.”

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Developers can try out Computer Use via Anthropic’s API, Amazon Bedrock, and Google Cloud’s Vertex AI platform. The new 3.5 Sonnet without Computer Use is rolling out to Claude apps, and brings various performance improvements over the outgoing 3.5 Sonnet model.

A tool that can automate tasks on a PC is hardly a novel idea. Countless companies offer such tools, from decades-old RPA vendors to newer upstarts like Relay, Induced AI, and Automat.

In the race to develop so-called “AI agents,” the field has only become more crowded. AI agents remains an ill-defined term, but it generally refers to AI that can automate software. Some analysts say AI agents could provide companies with an easier path to monetizing the billions of dollars that they’re pouring into AI. Companies seem to agree: According to a recent Capgemini survey, 10% of organizations already use AI agents and 82% will integrate them within the next three years.

Salesforce made splashy announcements about its AI agent tech this summer, while Microsoft touted new tools for building AI agents yesterday. OpenAI, which is plotting its own brand of AI agents, sees the tech as a step toward super-intelligent AI.

Anthropic calls its take on the AI agent concept an “Action-Execution Layer” that lets the new 3.5 Sonnet perform desktop-level commands. Thanks to its ability to browse the web (not a first for AI models, but a first for Anthropic), 3.5 Sonnet can use any website and any application.

“Humans remain in control by providing specific prompts that direct Claude’s actions, like ‘use data from my computer and online to fill out this form’,” said an Anthropic spokesperson. “People enable access and limit access as needed. Claude breaks down the user’s prompts into computer commands (e.g. moving the cursor, clicking, typing) to accomplish that specific task.”

Software development platform Replit has used an early version of the new 3.5 Sonnet model to create an “autonomous verifier” that can evaluate apps while they’re being built. Canva, meanwhile, says that it’s exploring ways in which the new model might be able to support the designing and editing process.

But how is this any different than the other AI agents out there? It’s a reasonable question. Consumer gadget startup Rabbit is building a web agent that can do things like buying movie tickets online; Adept, which was recently acqui-hired by Amazon, trains models to browse websites and navigate software; and Twin Labs is using off-the-shelf models, including OpenAI’s GPT-4o, to automate desktop processes.

Anthropic claims the new 3.5 Sonnet is simply a stronger, more robust model that can do better on coding tasks than even OpenAI’s flagship o1, per the SWE-bench Verified benchmark. Despite not being explicitly trained to do so, the upgraded 3.5 Sonnet self-corrects and retries tasks when it encounters obstacles, and can work toward objectives that require dozens or hundreds of steps. But don’t fire your secretary just yet.

In an evaluation designed to test an AI agent’s ability to help with airline booking tasks, like modifying a flight reservation, the new 3.5 Sonnet managed to complete less than half of the tasks successfully. In a separate test involving tasks like initiating a return, 3.5 Sonnet failed roughly a third of the time.

Anthropic admits the upgraded 3.5 Sonnet struggles with basic actions like scrolling and zooming, and that it can miss “short-lived” actions and notifications because of the way it takes screenshots and pieces them together.

“Claude’s Computer Use remains slow and often error-prone,” Anthropic writes in its post. “We encourage developers to begin exploration with low-risk tasks.” But is the new 3.5 Sonnet capable enough to be dangerous? Possibly.

A recent study found that models without the ability to use desktop apps, like OpenAI’s GPT-4o, were willing to engage in harmful “multi-step agent behavior,” such as ordering a fake passport from someone on the dark web, when “attacked” using jailbreaking techniques. Jailbreaks led to high rates of success in performing harmful tasks even for models protected by filters and safeguards, according to the researchers.

One can imagine how a model with desktop access could wreak more havoc, say, by exploiting app vulnerabilities to compromise personal info (or storing chats in plaintext). Aside from the software levers at its disposal, the model’s online and app connections could open avenues for malicious jailbreakers.

Anthropic doesn’t deny that there’s risk in releasing the new 3.5 Sonnet. But the company argues that the benefits of observing how the model is used in the wild ultimately outweigh this risk.

“We think it’s far better to give access to computers to today’s more limited, relatively safer models,” the company wrote. “This means we can begin to observe and learn from any potential issues that arise at this lower level, building up computer use and safety mitigations gradually and simultaneously.”

Anthropic also says it has taken steps to deter misuse, like not training the new 3.5 Sonnet on users’ screenshots and prompts, and preventing the model from accessing the web during training. The company says it developed classifiers to “nudge” 3.5 Sonnet away from actions perceived as high-risk, such as posting on social media, creating accounts, and interacting with government websites.

As the US general election nears, Anthropic says it is focused on mitigating election-related abuse of its models. The US AI Safety Institute and UK Safety Institute, two separate but allied government agencies dedicated to evaluating AI model risk, tested the new 3.5 Sonnet prior to its deployment.

Anthropic told reporters it has the ability to restrict access to additional websites and features “if necessary,” to protect against spam, fraud, and misinformation, for example. As a safety precaution, the company retains any screenshots captured by Computer Use for at least 30 days, a retention period that might alarm some devs.

We asked Anthropic under which circumstances, if any, it would hand over screenshots to a third party (e.g. law enforcement) if asked. A spokesperson said that the company would “comply with requests for data in response to valid legal process.”

“There are no foolproof methods, and we will continuously evaluate and iterate on our safety measures to balance Claude’s capabilities with responsible use,” Anthropic said. “Those using the computer-use version of Claude should take the relevant precautions to minimize these kinds of risks, including isolating Claude from particularly sensitive data on their computer.” Hopefully, that’ll be enough to prevent the worst from occurring.

Today’s headliner might’ve been the upgraded 3.5 Sonnet model, but Anthropic also said an updated version of Haiku, the cheapest, most efficient model in its Claude series, is on the way.

Claude 3.5 Haiku, due in the coming weeks, will match the performance of Claude 3 Opus, once Anthropic’s state-of-the-art model, on certain benchmarks at the same cost and “approximate speed” of Claude 3 Haiku.

“With low latency, improved instruction following, and more accurate tool use, Claude 3.5 Haiku is well suited for user-facing products, specialized sub-agent tasks, and generating personalized experiences from huge volumes of data, like purchase history, pricing, or inventory data,” Anthropic wrote in a blog post.

3.5 Haiku will initially be available as a text-only model and later as part of a multimodal package that can analyze both text and images.

So once 3.5 Haiku is available, will there be much reason to use 3 Opus? What about 3.5 Opus, 3 Opus’ successor, which Anthropic teased back in June?

“All of the models in the Claude 3 model family have their individual uses for customers,” the Anthropic spokesperson said. “Claude 3.5 Opus is on our roadmap and we’ll be sure to share more as soon as we can.”

311 Intelligence

What this means for your organisation

Agents are moving into daily work.

A recent Capgemini survey found 10% of organisations already use AI agents and 82% will integrate them within three years. Anthropic's tool lets a model use any website and any application. Agentic AI is tagged Prepare, with wide use expected by 2028.

Reliability is not there yet.

On airline booking tasks the new Sonnet completed less than half. On tasks such as starting a return it failed roughly a third of the time. Anthropic itself calls the tool slow and error-prone. Treat it as a helper that needs human checks, not a replacement for staff.

Security and data need rules first.

A recent study found models were willing to take harmful multi-step actions when attacked with jailbreaks, and desktop access could raise that risk. Anthropic keeps screenshots for at least 30 days and will comply with valid legal process. Set rules on data access before any trial, and keep people overseeing the work.

Three questions for your next leadership meeting

  1. Which tasks are low-risk enough to trial with a screen-controlling agent?
  2. What sensitive data must stay isolated from any agent with desktop access?
  3. Can we accept a supplier keeping our screenshots for at least 30 days?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

Having an AI watch what you're doing on screen then helping you automate those things, or even comment and help with what you're doing, is great but it's also a cyber security nightmare.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. 3 5 models and computer use anthropic.com
  2. Gartner 2025 will see the rise of ai agents and other top trends venturebeat.com
  3. Generative ai in organizations 2024 capgemini.com
  4. New autonomous agents scale your team like never before blogs.microsoft.com
  5. plotting its own brand of AI agents theinformation.com
  6. Agentharm ukgovernmentbeis.github.io
  7. UIUC Study AI Agents Can Exploit Cybersecurity Vulnerabilities campustechnology.com
  8. storing chats in plaintext theregister.com
  9. Microsoft warns of novel jailbreak affecting many generative ai models csoonline.com

Source: first published by the 311 Institute on 4 November 2024. Cite as: Griffin, M. (2024). Anthropic’s new AI model can see your screen and control your PC. 311 Institute. https://www.311institute.com/anthropics-new-ai-model-can-see-your-screen-and-control-your-pc/

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