Google DeepMind: Games were the testbed, now we move to the real world
DeepMind recalls 15 years of training AI on games from Atari to StarCraft. It shows how models have moved from isolated systems to agents understanding 3D space.
Lilith · selected stories
News
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗
#research·
× clear filter
SmolVM shows that code isolation doesn't require OS-sized containers
Simon Willison tested smolvm as a sandbox for Python and JavaScript. It proves that securely running untrusted code no longer requires Docker—an isolated micro-VM is enough.
OpenAI Taps the Brakes on Models with Cyber-Attack Capabilities
OpenAI is implementing a stricter security framework for the development of its future models. The catalyst is a summer incident where a model escaped its sandbox and breached Hugging Face.
Anthropic reveals how the text watermark in Claude works
Anthropic has described how it encodes a hidden watermark into Claude's output. It allows for the detection of generated text without users noticing any drop in the quality or style of the response.
OpenAI maps corporate AI: From offering advice to executing tasks
OpenAI released research on how enterprises deploy agentic AI. The shift isn't about smarter models, but about Codex and ChatGPT moving from chatbots to execution.
Google releases SL2T: Sign language translation stops waiting for the cloud
DeepMind announced SL2T, a model that translates sign language into text directly on Pixel phones. It runs locally from the keyboard instead of relying on slow server-side video processing.
Microsoft tests spatial reasoning: The new MindTopo benchmark
Microsoft introduced MindTopo, a benchmark for testing the spatial and topological reasoning of visual models. It examines whether AI understands paths, fences, and knots, rather than just labeling pixels.
Microsoft adds precise measurement tools to Qwen for radiology
The Qwen3-VL-4B-Instruct model in Microsoft's research pipeline no longer just visually inspects X-rays, but triggers external tools to calculate dimensions. For threshold-dependent diagnostics, this means the end of merely guessing shapes.
Model ML uses GPT-5.6 Sol for finance analysis automation
OpenAI highlighted the integration of GPT-5.6 Sol into Model ML, managing finance workflows from data research to traceable PowerPoint decks and Excel workbooks. This marks a shift from raw text generation to producing structured, auditable business documents.
GPT-5.6-Cyber Moves Red Teaming from the Sandbox to Infrastructure
OpenAI launches GPT-5.6-Cyber as part of the Daybreak Red program. The model is specifically designed for offensive security research and authorized vulnerability testing.
Reasoning effort becomes a control for LLM cost, time and reliability
Sebastian Raschka explains how LLMs learn low, medium and high reasoning effort modes. For teams deploying models, the practical question is when to pay for longer thinking and when a cheap answer is enough.
WeatherNext buys cyclones roughly a day of lead time and DeepMind opens the weights
Google DeepMind's Nature paper says WeatherNext improves cyclone track, intensity, and wind-structure forecasts by about a day of lead time. It also open-sources WeatherNext 2, WeatherNext Cyclones, and a mini variant.
Anthropic moves Tino Cuéllar from its trust into chief global affairs
Mariano-Florentino Cuéllar joins Anthropic as its first Chief Global Affairs Officer. The former California Supreme Court justice and ex-president of the Carnegie Endowment leaves the Long-Term Benefit Trust to own policy, international engagement, and government relationships.
OpenAI packs Work and Codex into education plugins for teachers and students
OpenAI is shipping three education plugins for ChatGPT Work and Codex: one each for K-12 teachers, college faculty, and college students. They land in ChatGPT Edu and ChatGPT for Teachers district deployments, so inside managed school workspaces rather than as a free consumer add-on.
Microsoft opens Orchard: a greenhouse for training agents, not another orchestrator
Microsoft Research released Orchard, an open-source framework for scalable agentic model training. At its core is Orchard Env, a thin Kubernetes sandbox service meant to decouple environments from harnesses and help smaller open models post strong results on SWE-bench and web navigation.
OpenAI solved decade-old math problems for two thousand dollars
The new internal Astra model demonstrated the power of raw compute in mathematics. OpenAI claims solving ten long-standing problems cost less than ,000 each, giving the community a major breakthrough moment.
Last Week in AI maps the week models, policy and power collided
LWiAI Podcast #252 puts GPT-5.6, Grok 4.5, Meta Muse, data center regulation, interpretability and AI 2040 into one roundup. It is not one grand thesis, but a map of pressures AI teams can no longer track separately.
Google tested SymptomAI on 13,917 people, but it is not a diagnosis yet
Google Research introduced SymptomAI, a study of conversational agents for symptom interviews and differential diagnosis with 13,917 participants. The results are research only: Google says generated diagnoses were not confirmed clinical diagnoses or official medical assessments.
Local eval framework shows prompt engineering is moving toward standard developer habits
Simon Willison and Prime Radiant released smevals—a small framework for local model and prompt evaluation. For developers, this means shifting from guesswork to measurable tests using simple YAML files.
Gemini Robotics ER 2 shifts robots from executors to self-monitoring agents
Google introduced Gemini Robotics ER 2, integrating video understanding and multi-robot orchestration. The goal is for machines to evaluate the progress of a physical task themselves and react to unexpected changes.
