Anthropic slashes Claude Fable 5 limits in Max and Team Premium and pushes Pro users toward API pricing
Anthropic has reduced the limits for Claude Fable 5 in its Max and Team Premium plans, while offering Pro users a one-time credit and API pricing.
- Anthropic has reduced the limits for Claude Fable 5 in its Max and Team Premium plans.
- Pro users will receive a one-time $100 credit, then pay API rates.
- The change is likely a response to competitive pressure from OpenAI's cheaper GPT-5.6 Sol.
Anthropic has made a significant change to its pricing strategy for Claude Fable 5. Starting July 20, users of its Max and Team Premium plans will see their limits for the AI model reduced to 50% of their current levels. This change comes as a result of a third reduction in limits for all plans on the same day. In a separate move, Pro users will receive a one-time $100 credit, after which they will be charged API rates. This decision is likely a response to competitive pressure from OpenAI's cheaper GPT-5.6 Sol.
The move is a significant shift from Anthropic's original plan to remove Fable from its subscription plans entirely. It remains to be seen how this change will impact users and the wider market.
Anthropic's decision to adjust its pricing in response to market competition highlights the ongoing pressure on AI companies to offer competitive pricing and features. This development is likely to be closely watched by users and industry observers alike.
This development highlights the ongoing pressure on AI companies to offer competitive pricing and features.
BusinessThe Pentagon's new AI playbook treats slow adoption as a bigger risk than "imperfect alignment"
Why Colorado replaced its AI discrimination law with a transparency requirement that the feds might challenge anyway - Yellow Scene Magazine
Claude make Fable 5 permanent
BusinessNeil Rimer thinks the AI money is coming back out
Microsoft Wants Sales Team to Push Its Own AI Models Instead of Rivals OpenAI, Google and Anthropic: Report (UPDATED) - Yahoo Finance
AI ResearchGoogle Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite
Google Cloud has released the Always-On Memory Agent, a reference implementation that consolidates large language models without vector databases or embeddings.
AI ResearchSakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation
Sakana AI presented an error diffusion method that trains dual‑stream excitatory/inhibitory networks respecting Dale’s principle, achieving 96.7% accuracy on MNIST and 61.7% on CIFAR‑10 without using backpropagation.
Integrating omics and artificial intelligence in pediatric environmental health: tools, challenges, and cohort-based insights - Nature
Researchers explore the integration of artificial intelligence and omics in pediatric environmental health, highlighting tools, challenges, and cohort-based insights.
AI ResearchCan a Semantic Cache Become Your Primary Retrieval Layer?
A semantic cache layer may become the primary retrieval layer for certain applications, offering improved efficiency and performance.
Artemisia, Matteo Basilé and artificial intelligence trained to dream - osservatoreromano.va
Researchers at the Vatican's Observatory have successfully trained an AI model to dream using neural networks, a breakthrough in AI development.
nascheme/quixote
The Quixote web framework, a relic from 21 years ago, has seen recent commits.