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ChatGPT can now work for you online
PLUS: AI Agents Flunk Freelance Test and a new $1B 'human-first' AI lab
OpenAI has unveiled a major new feature for ChatGPT, giving the AI the power to perform complex tasks across the web for you. This new 'agent mode' enables the AI to handle multi-step jobs like online shopping and booking appointments directly within the browser.
This update moves ChatGPT beyond conversation and into action, turning it into an autonomous assistant that can execute entire workflows. As these agent capabilities become more common, what will it mean for user trust and the security of letting an AI browse and act on our behalf?
Today in AI:
OpenAI's new agent mode for ChatGPT
AI agents fail real-world freelance tests
New $1B 'human-first' AI lab launches
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What’s new? OpenAI has unveiled 'agent mode' for its ChatGPT Atlas browser, empowering the AI to perform complex actions across the web on a user's behalf.
What matters?
The new feature enables ChatGPT to perform multi-step tasks like conducting research, shopping online, and booking appointments directly within the browser.
Access is currently limited, with the new agent mode rolling out in preview to ChatGPT Plus, Pro, and Business subscribers.
This update transforms ChatGPT from a conversational partner into an active digital assistant capable of executing tasks autonomously.
Turn on agent mode and ChatGPT can take action for you—research, plan, and get things done while you browse.
Now in preview for Plus, Pro, and Business users.
— OpenAI (@OpenAI)
4:59 PM • Oct 31, 2025
Why it matters?
This feature represents a significant step beyond conversational AI, turning the model into an active collaborator that can execute workflows. It signals a move toward a future where users can delegate complex digital tasks, directly boosting personal and professional productivity.
GUIDE
What’s new? A new benchmark from Scale AI reveals that even the most capable AI agents can only successfully complete 2-3% of real-world freelance tasks, highlighting a major gap between current hype and reality.
What matters?
The Remote Labor Index tested agents on real freelance tasks from platforms, not just simplified academic problems.
Agents struggled with complex, multi-step workflows and ambiguous instructions that require human judgment and conversational clarification.
Despite this, a new Wharton study found 74% of companies that measure generative AI impact are already seeing a positive ROI from more focused applications.
Why it matters?
This provides a crucial reality check on the state of AI agents; they are powerful tools for augmenting work but not yet replacements for skilled professionals. Understanding this gap helps teams set realistic expectations and focus on practical, human-in-the-loop applications.
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What’s new? Eric Zelikman, a former xAI researcher, is reportedly raising $1B for a new startup called Human&. The lab aims to develop human-centered AI with a team of top talent from across the industry.
What matters?
The lab is built on the credibility of Zelikman's pioneering research into step-by-step reasoning, a method that later influenced major models.
Human& is assembling a formidable founding team that includes veterans from frontier AI labs like OpenAI, Anthropic, Google DeepMind, and Meta.
Its mission focuses on creating AI that strengthens human capabilities and understands users, rather than developing systems designed to replace them.
Why it matters?
This move signals a growing focus on developing AI systems that augment human teams instead of just racing toward autonomous superintelligence. The massive $5 billion pre-product valuation also shows that investors are willing to place huge bets on proven talent and compelling new approaches in the AI space.
Everything else in AI
Perplexity introduced a new patent research agent and secured a multi-year licensing deal with Getty Images for its extensive image library.
Alphabet delivered its first-ever $100 billion quarter, with its CFO stating the company is now generating billions of dollars in revenue directly from its AI initiatives.
Invisible raised $100M for its data labeling and human-in-the-loop platform, which it claims has been used to train over 80% of the world's leading AI models.
Amazon clarified that recent job cuts were a result of organizational bloat, with CEO Andy Jassy pushing back on the narrative that AI was the primary driver of the layoffs.
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