Monitoring LLM behavior: Drift, retries, and refusal patterns
The stochastic challengeTraditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to...
AI News
Google DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation
For years, the computer vision community has operated on two separate tracks: generative models (which produce images) and discriminative models...
Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness
There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code,...
CVSS scored these two Palo Alto CVEs as manageable. Chained, they gave attackers root access to 13,000 devices.
During Operation Lunar Peek in November 2024, attackers gained unauthenticated remote admin access — and eventual root — across more...
DeepSeek AI Releases DeepSeek-V4: Compressed Sparse Attention and Heavily Compressed Attention Enable One-Million-Token Contexts
DeepSeek-AI has released a preview version of the DeepSeek-V4 series: two Mixture-of-Experts (MoE) language models built around one core challenge...
DeepSeek-V4 arrives with near state-of-the-art intelligence at 1/6th the cost of Opus 4.7, GPT-5.5
The whale has resurfaced. DeepSeek, the Chinese AI startup offshoot of High-Flyer Capital Management quantitative analysis firm, became a near-overnight...
Why AI agents need interaction infrastructure
To stop automation waste, enterprises must deploy interaction infrastructure that physically governs how independent AI agents operate.AI agents now populate...
85% of enterprises are running AI agents. Only 5% trust them enough to ship.
Eighty-five percent of enterprises are running AI agent pilots, but only 5% have moved those agents into production. In an...
A Coding Tutorial on OpenMythos on Recurrent-Depth Transformers with Depth Extrapolation, Adaptive Computation, and Mixture-of-Experts Routing
In this tutorial, we explore the implementation of OpenMythos, a theoretical reconstruction of the Claude Mythos architecture that enables deeper...
How AI models use real-time cryptocurrency data to interpret market behaviour
AI systems are increasingly built around data that does not really pause. Financial markets are an obvious example, where inputs...
Google DeepMind Introduces Decoupled DiLoCo: An Asynchronous Training Architecture Achieving 88% Goodput Under High Hardware Failure Rates
Training frontier AI models is, at its core, a coordination problem. Thousands of chips must communicate with each other continuously,...
Talking to AI agents is one thing — what about when they talk to each other? New startup BAND debuts 'universal orchestrator'
For the past eighteen months, the corporate world has been obsessed with the "builder" phase of the generative AI revolution....
Mend Releases AI Security Governance Framework: Covering Asset Inventory, Risk Tiering, AI Supply Chain Security, and Maturity Model
There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code...
Mystery solved: Anthropic reveals changes to Claude's harnesses and operating instructions likely caused degradation
For several weeks, a growing chorus of developers and AI power users claimed that Anthropic’s flagship models were losing their...
Sony AI robot beats players as humanoid robot wins Beijing race
An autonomous table tennis robot developed by Sony AI has competed against and defeated high-level human players in regulated matches,...
OpenAI Releases GPT-5.5, a Fully Retrained Agentic Model That Scores 82.7% on Terminal-Bench 2.0 and 84.9% on GDPval
OpenAI has released GPT-5.5, its most capable model to date and the first fully retrained base model since GPT-4.5. GPT-5.5...
OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0
After months of rumors and reports that OpenAI was developing a new, more powerful AI large language model for use...
The billion-dollar startup with a different idea for AI
A billion dollars in startup funding for a company that employs 12 people is an indication that investors still have...
A Detailed Implementation on Equinox with JAX Native Modules, Filtered Transforms, Stateful Layers, and End-to-End Training Workflows
BATCH = 128 EPOCHS = 30 steps_per_epoch = len(X_train) // BATCH train_losses, val_losses = , t0 = time.time() for epoch...
Google doesn't pay the Nvidia tax. Its new TPUs explain why.
Every frontier AI lab right now is rationing two things: electricity and compute. Most of them buy their compute for...
NVIDIA and Google infrastructure cuts AI inference costs
At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI...
Alibaba Qwen Team Releases Qwen3.6-27B: A Dense Open-Weight Model Outperforming 397B MoE on Agentic Coding Benchmarks
Alibaba’s Qwen Team has released Qwen3.6-27B, the first dense open-weight model in the Qwen3.6 family — and arguably the most...
