AI Models
Model releases, benchmarks, inference and fine-tuning.
California's Half-Price Claude Deal Exposes the Federal-State AI Schism
California’s agreement with Anthropic to deploy Claude at discounted rates for state agencies signals a new model of public-sector AI procurement — one that prioritizes cost efficiency, controlled access, and state-level digital sovereignty over federal restrictions.
When You Tell an AI 'This Is False,' It Believes the Lie Anyway
New research on "negation neglect" shows that fine-tuning LLMs with explicitly labeled falsehoods causes them to absorb those claims into their representations — even when warnings are repeated, persistent, and presented as coming from unreliable sources. The finding has implications for AI training data quality and hallucination prevention.
Serotonin Reduces Belief Stickiness in OCD: A State-Inference Breakdown, Not a Habit Loop
A new study redefines OCD treatment by showing serotonin directly alleviates ‘belief stickiness’, reframing OCD as a failure in state-inference rather than automatic behavior, enabling time-sensitive psychotherapy windows.
Escalating AI Warfare: Anthropic Alleges Massive Distillation Attack by Alibaba
Anthropic has accused Alibaba of launching a massive distillation attack against Claude, using 25,000 accounts to scrape agentic behavior and software engineering capabilities.
Beyond the GPU: The 'Jalapeño' ASIC and the Future of Inference Infrastructure
OpenAI and Broadcom have announced a new, specialized ASIC named Jalapeño, designed to optimize large language model inference and improve performance per watt in data centers by the end of 2026.
The Battle for Enterprise Context: Anthropic’s Claude Tag Slack Play Seeks to Lock In Organizational Memory
Anthropic's newly launched Claude Tag is more than a Slack productivity bot. By utilizing persistent channel memory and running autonomously on Claude Opus 4.8, it represents a strategic bid to own the organizational context layer, raising the stakes for Microsoft and competitor platforms.
The Fable of Voluntary Alignment: How Export Controls Disabled Anthropic's Frontier Models
An analysis of the US government's abrupt export control directive forcing Anthropic to disable Mythos 5 and Fable 5, highlighting safety disputes, the vulnerability debate, and industry impacts.
LLM KV Cache Compression: Quantization, Eviction & Paging Strategies for Cost-Throughput Optimization in 2026
A technical survey of KV cache compression techniques in 2026—quantization (4-bit AWQ/GPTQ/TurboQuant), eviction policies (RL-based KVP, attention-weighted AWE/SLIDE), and paging (PagedAttention)—with benchmarks on memory reduction (55-80%), capacity gains (2.3-3.7x), and throughput-latency tradeoffs for cost optimization.
Apple's AI Dilemma: Distilling Google's Multi-Trillion Parameter Gemini for the iPhone
Apple is reportedly trying to compress Google's massive Gemini AI model into iPhone hardware, a technical challenge that highlights the tension between on-device processing and cloud dependency. Here's what this means for the future of mobile AI.
LLM Attention Collapse: Stroop Task Reveals Structural Flaw in Transformer Executive Control
New research exposes a catastrophic performance collapse in LLM attention mechanisms when executing the psychological Stroop task, revealing fundamental architectural limitations in transformer-based executive control systems.
Waymo Unveils 'Reference Driver' Model to Benchmark Robotaxi Safety Against Humans
Waymo and TU Delft introduce the 'Reference Driver,' a model that simulates human driver behavior to provide a safety benchmark for robotaxis, using active inference frameworks to simulate how humans handle uncertainty and anticipate traffic conflicts.
AI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises
A groundbreaking study by Kenneth Payne (arXiv:2602.14740) reveals that leading AI models (GPT-5.2, Claude Sonnet 4, Gemini 3 Flash) exhibit sophisticated strategic reasoning in simulated nuclear conflicts, including spontaneous deception and theory of mind — challenging traditional deterrence theories.