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Fortune reports enterprise spending on Anthropic’s Claude Fable 5 has stalled
Fortune reports, citing payment-processor data from Ramp, that Claude Fable 5 represented 11% of corporate spending on Anthropic models two months after release, but that share has since stalled. The report says the pattern could pressure frontier AI companies to compete more aggressively on price, although Ramp’s…fortune.comSecurity
Paper warns that LLM agents can recover deleted knowledge through tools
A new arXiv paper identifies a gap in LLM unlearning: an agent may stop recalling information from its weights but recover it through web search, retrieval or database tools. The authors propose a two-stage method to reduce both forms of recovery while preserving legitimate tool use.arxiv.orgSecurity
Adversarial tests expose major gaps in LLM unlearning
A preprint reports that language models can appear to forget targeted information under ordinary tests while still recovering it under strategic adversarial prompts.arxiv.orgIndustry
India Today reports Nvidia’s $6 billion Poolside deal expands its open-model ambitions
India Today reports that Nvidia’s agreement with AI startup Poolside would give Nvidia access to Poolside’s technology and bring more than 100 employees into its Nemotron open-weight model effort. The report also says Nvidia will invest $1 billion in Poolside at a $12 billion pre-money valuation, while rising…indiatoday.inInnovation
LURE paper proposes pursuit-evasion self-play to train LLM reasoning without task data
A new arXiv paper presents LURE, a zero-data self-play method in which one language model sets task difficulty while another solves verifiable reasoning challenges. The authors report stronger out-of-distribution zero-shot accuracy than trained baselines across nine held-out benchmarks, but the abstract does not…arxiv.orgInnovation
NC-GRPO paper reports stronger vision-language reasoning from latent-space rollout diversity
An arXiv preprint introduces NC-GRPO, a reinforcement-learning method that perturbs a vision-language model’s hidden representation rather than its input image. The authors report improved out-of-domain mathematical reasoning and hallucination robustness on Qwen2.5-VL-7B, while noting tradeoffs between…arxiv.orgInnovation
TASSO paper proposes preserving vision-language model skills during continual learning
An arXiv paper introduces TASSO, a method for adapting vision-language models to new tasks while reducing the loss of earlier abilities and zero-shot performance. The authors report improvements over existing methods in CLIP-based continual-learning benchmarks, but the source provides no numerical results.arxiv.orgInnovation
ConvergeFlow proposes a language model with provable convergence to token embeddings
A new arXiv preprint introduces ConvergeFlow, a flow-based language model designed to end at valid token embeddings without a cross-entropy-trained decoder. The authors prove convergence under stated regularity conditions and report competitive results on OpenWebText, but the abstract does not provide benchmark…arxiv.orgInnovation
SSKG method makes LLM student simulations track mastery more faithfully, paper reports
An arXiv preprint reports that a stochastic knowledge-graph method made three LLMs produce more distinguishable simulated students across 379 SAT Algebra items.arxiv.org
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