ChatGPT rolls out site operator at scale and triggers chatbot SEO era
Generative Engine Optimization (GEO) comes to life. ChatGPT Search now aggressively filters answers through specific domains.
Lilith · selected stories
What is actually happening in AI. Selected stories, context and opinion without the promotional noise.
Atom feed ↗Generative Engine Optimization (GEO) comes to life. ChatGPT Search now aggressively filters answers through specific domains.
Google’s smart cameras are getting a Pet Memory feature designed to distinguish between individual pets. Powered by Gemini models, the feature is currently hitting limits in real-world use.
Researcher David Ha (@hardmaru) openly states what the enterprise market is slowly realizing: you do not need a frontier coding model for everyday work.
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.
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.
Last Week in AI podcast #253 assembles a weekly map: Anthropic Opus 5, new Gemini variants including a cyber model, open-weight Kimi K3, compute deals, and a reported OpenAI system breach of Hugging Face.
Google DeepMind’s tweet frames three new Gemini models as a faster, smarter and cheaper layer for agents. The primary blog gives the sharper point: Flash is meant to cut tokens, shorten runs and split work between fast, cheap and security-specialized models.
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.
Google DeepMind presents Gemini 3.5 Flash Cyber as a specialized lightweight model for finding and patching vulnerabilities, while Flash-Lite targets cheap repetitive work. The interesting part is not just a new model name, but a split of AI work by operational risk.
Latent Space describes FLUX 3 as a multimodal flow model for video, audio, keyframes and longer sequences. If the performance claims and the open Dev version hold, Black Forest Labs is no longer just an image lab, but a supplier of a generative production layer.
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.
Ethan Mollick’s summer guide tells most people to pick Claude or ChatGPT from $20 a month and give an agent a computer. Simon Willison frames the shift: the hard choice is now the agent harness and what you allow it to touch.
Google has released Gemini 3.6 Flash and 3.5 Flash-Lite for developers, enterprises and the Gemini app. The specialized 3.5 Flash Cyber will be limited to governments and trusted partners in a restricted pilot, giving one model family two very different distribution models.
Meta is adding calendar briefings, event planning, web research and recurring tasks to Meta AI in select markets. The productivity shift makes the chatbot more useful, but it also raises the sensitivity of the data and the cost of every mistake.
Google released Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber with a clear focus on cheaper agentic workflows. For teams paying for tokens and latency, operating economics matter more than the model number.
Google is launching Gemini 3.5 Flash Cyber for CodeMender, a system for finding and patching vulnerabilities. The benchmark numbers are interesting, but access limited to governments and trusted partners makes it a closed security experiment.
A Simon Willison tweet points to an LA Times report about Gemini delays and early internal limits on using Gemini with proprietary code. The primary article was only partially verifiable through metadata and the quoted excerpt, so the safe point is narrow: even model builders worry about what can enter their own AI tools.
Google DeepMind and Isomorphic Labs introduced a joint bioresilience approach focused on preventing misuse, detecting outbreaks faster and supporting response to new threats. The notable number is more than 15 partnerships in 12 months, but the harder question is who gets trusted access to these systems.
Google Research argues that diffusion model creativity can arise from neural networks learning a smoothed score function. The point is not mystical: the model creates novelty by interpolating between training points on the data manifold.
Researchers from the University of Maryland and Google DeepMind describe StoryScope, a preprint system that compares 304 narrative features across more than 50,000 AI generated short stories. The useful signal is not only style. It is how the story handles plot, time, ambiguity and meaning.