Anthropic Just Doubled Claude's Usage Limits for Everyone

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Anthropic Doubles Claude's Usage Limits Across Every Plan

Anthropic announced a surprise two-week promotion that doubles usage limits across Free, Pro, Max and Team plans outside of peak hours . The bonus applies automatically to all Claude tools with no action required from users. Separately, the company made its full 1M-token context window generally available for Claude Opus 4.6 and Sonnet 4.6 at no price increase. The details: Double Usage: All plans get 2x usage limits for two weeks, applied automatically outside peak hours (weekdays 5am to 11am PST). 1M Context Window: Claude Opus 4.6 and Sonnet 4.6 now support the full 1M-token context window in general availability, up from the previous limited rollout.

Larger Uploads: The expanded context window lets users upload larger media files, full codebases and longer documents directly into conversations.
No Price Change: Both the usage boost and the context window expansion come at no additional cost across all tiers.

For developers and power users, the 1M-token context window is huge news. That is enough to hold entire codebases or thousands of pages of documentation in a single conversation , which changes how you can use Claude for deep research and complex reasoning tasks.

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ElevenLabs Raises the Bar for Speech Recognition Speech AI is turning into a fierce competition. Tech giants like Google, OpenAI and Amazon are racing to build the most accurate speech-to-text systems. And we clearly have a winner. ElevenLabs’ Scribe v2 achieved the lowest error rate among 41 competitors in the Artificial Analysis benchmark.

This level of accuracy is a game-changer: speech becomes usable text instantly. Curious what next-generation voice AI sounds like? Try Expressive Mode Musk Admits xAI "Was Not Built Right" As Co-Founder Exodus Continues Elon Musk posted that xAI "was not built right" and is being rebuilt from the foundations up. Nine of the original 11 co-founders have now departed , with Zihang Dai and Guodong Zhang the latest to leave.

Only Manuel Kroiss and Ross Nordeen remain alongside Musk. The rebuild: Leadership Drain: Zhang, who led Grok Code and reported directly to Musk, was reportedly blamed for Grok's coding shortfalls before departing.

Talent

Acquisition: xAI hired senior Cursor engineers Andrew Milich and Jason Ginsberg last week, both reporting directly to Musk.

Coding Gap: Musk has publicly acknowledged that Grok is "currently behind" on coding compared to frontier competitors.
IPO Timing: The rebuild comes as SpaceX, which now owns xAI, prepares for a public listing later this year.

Rebuilding a company from scratch is hard enough without the pressure of an upcoming IPO. Musk is betting that splashy coding hires and a clean slate can close the gap with OpenAI and Anthropic, but the window to prove that before going public is narrowing fast . Meta Reportedly Weighing Layoffs Affecting 20% Of Its Workforce Meta is reportedly considering major layoffs that could cut 20% or more of its nearly 79,000 employees . The cuts would help offset aggressive AI spending, including plans to invest $600 billion on data centres by 2028 and recent acquisitions including Manus. The pressure points: Scale Of Cuts: A 20% reduction would affect roughly 16,000 employees across the company.

AI Spending: Meta has committed to some of the largest AI infrastructure investments in the industry, with $600B earmarked for data centres alone.
Recent Acquisitions: The company recently acquired Manus, adding to its AI portfolio but also its cost base.
Official Response: A Meta spokesperson called the report "speculative reporting about theoretical approaches," stopping short of a denial.

Meta's AI bet is enormous. The question is whether Zuckerberg can fund a $600B infrastructure buildout without gutting the workforce that needs to operate it. A 20% cut goes beyond a small trim. This is complete structural reorganisation . AI-Designed Vaccine Shrinks Rescue Dog's Tumor Sydney-based AI consultant Paul Conyngham built a custom mRNA cancer vaccine for his dog Rosie by chaining together ChatGPT, Grok, DeepMind's AlphaFold and a university genomics lab.

One tumor shrank by half after the first injection. How it worked: Diagnosis: Rosie was diagnosed with mast cell cancer in 2024 and given months to live despite chemotherapy and surgery.

Research Pipeline: Conyngham used ChatGPT to map the research landscape, paid $3,000 for genomic sequencing and fed the data through AlphaFold to model the mutations.
Vaccine Design: The UNSW RNA Institute helped turn the formula into a custom vaccine, with the final construct designed using Grok.
Results: One tumor shrank by 50% after a December injection.

Conyngham is now working on a second vaccine targeting non-responding tumors. A year ago, a pet owner with no biology training could not have turned a cancer diagnosis into sequenced DNA, modeled proteins and a working vaccine blueprint. The tools now exist for that to happen . Rosie is not cured, but the fact that AI provided the path to a real result from a previously hopeless situation is a significant milestone.