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With version 1.5, Manus is introducing its most capable AI agent system so far. The updated architecture cuts task processing times from 15 minutes to just 4, and internal tests report a 15 percent jump in output quality. Manus claims the agent can now build, test, and refine full web applications—including backend, user management, and database—directly on the platform. It also handles research, image generation, and analysis.

"We didn’t create a 'website builder' feature. We enhanced the core Manus platform to master a new, complex domain," Manus co-founder Tao Zhang says.

Both Manus-1.5 and Manus-1.5-Lite are launching as new releases. The Lite version is open to everyone, while the full version is reserved for subscribers. Microsoft has also integrated Manus into its agent suite for Windows.

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OpenAI is rolling out two updates. ChatGPT can now automatically manage its memory, so users no longer need to delete saved information by hand. For Sora, Pro users can now use storyboards on the web, and video generation limits have increased: all users can make videos up to 15 seconds long on the app and web, while Pro users can create videos up to 25 seconds on the web.

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Anthropic's Claude now integrates directly with Microsoft 365, letting users pull in content from Outlook, SharePoint, OneDrive, and Teams. This means emails, calendars, and documents can show up right in a Claude chat, making it easier to bring company data into the conversation.

Anthropic is also adding a centralized search that covers company resources like HR documents and team guidelines. These features are available to Claude Team and Enterprise users, but admins have to enable them first.

The rollout follows Microsoft's recent Copilot integration in Windows, showing just how closely the competition for AI in the workplace is tied to the digital office ecosystem.

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According to two people familiar with the matter, AI startup Anthropic expects to nearly triple its annual revenue by 2026, Reuters reports. The company projects an annualized revenue of $9 billion by the end of 2025 and is targeting more than $20 billion in 2026 under its base scenario, or as much as $26 billion in the most optimistic case.

Anthropic told Reuters that its annualized revenue stood at around $7 billion as of October. Most of the company's growth comes from enterprise clients, who account for roughly 80 percent of its revenue. The startup was recently valued at $183 billion after raising $13 billion in new funding.

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Bloomberg reports that Ke Yang, head of Apple's AI search division, is leaving the company to join Meta Platforms. Yang led Apple's "Answers, Knowledge and Information" (AKI) team, which develops features designed to make Siri more like ChatGPT by giving it access to web content.

The AKI group plays a key role in a major Siri update planned for March, part of Apple's push to strengthen its AI offerings. Yang's departure is one of several recent exits from Apple's AI divisions, including members of the "Apple Foundation Models" group and former executives like Robby Walker and Ruoming Pang, who also moved to Meta. After Yang's exit, the AKI team will report to Benoit Dupin, a deputy under Apple's AI chief, John Giannandrea.

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Google Labs Creative Director Henry Daubrez says the new Veo 3.1 update is being overhyped. Though it adds helpful features like image-to-image animation, he sees the changes as minor. Daubrez blames financial pressure in the AI industry for turning small updates into big marketing moments. Veo is part of Flow by Google.

"The bigger issue is that the enormous financial stakes around AI are turning timelines into marketing noise, with rumors inflated to the point where every incremental update gets treated like a paradigm shift."

Henry Daubrez

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Google Deepmind and Yale University have introduced a new AI model called C2S-Scale 27B, built on the open Gemma model family. The system analyzes single cells and, according to Google Deepmind, uncovered a previously unknown therapeutic pathway for cancer. The model identified the drug silmitasertib (CX-4945) as a "conditional enhancer" - meaning it can make tumor cells more visible to the immune system under specific conditions. In the team's words:

"This result also provides a blueprint for a new kind of biological discovery. It demonstrates that by following the scaling laws and building larger models like C2S-Scale 27B, we can create predictive models of cellular behavior that are powerful enough to run high-throughput virtual screens, discover context-conditioned biology, and generate biologically-grounded hypotheses."

Google Deepmind

Lab experiments with human neuroendocrine cell models confirmed the prediction. Before that, C2S-Scale simulated over 4,000 drugs in two immune environments. The code is available on GitHub, and the model can be found on Hugging Face. More details are in the preprint on bioRxiv.

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