Introducing Eleven Realtime, a new class of Speech to Speech models. Voice agents usually make you choose between quick replies or precise answers. Eleven Realtime gives you both. It starts talking in half a second and gets spoken reasoning questions right.

Personal Intelligence is now rolling out for Gemini on Android Auto and in the coming months to cars with Google built-in, so you can get even better hands-free help on the road. With your permission, Personal Intelligence securely connects information from the Google apps you already use — like Gmail, Google Calendar, and Search — so you can make complex requests, get personalized recommendations, retrieve details from past conversations and more.

There were reports of usage draining faster than anticipated for some users over the weekend. We've identified approximately 40,000 accounts that had an inconsistency on which usage limits where the actual usage that was applied did not correspond to their actual selected plan. We are reaching out individually to all these users and have corrected the issue. If this affected you, we'll add credits to your account. Sorry we got this wrong.

Specs are here and they can do a lot → Create data reports, PRDs, generate hand-off context → Bring in outside context with an agent → Turn rough ideas into a detailed spec → Send it to a coding agent using Figma’s MCP server → Build a Code Layer on top and refine

I asked Claude Code to make a new GTA: San Andreas mission where CJ has to vibe code a startup and then raise money from investors in SF

진짜 대박대박 신기한거 알려드릴게요.... (사실 새로운건 아님) (이미 다 알고 계실 테지만 리마인드하는 느낌으로~) 그냥 궁금해서 오늘 계산을 새로 해봤는데요! --> 3년 전 기준으로 램 가격이 약 388% 올랐습니다.. ㄷㄷ (알고는 있었지만 이렇게 많이 올랐는지는 몰랐음) 2023년 약 1만7천 원 → 지금 8만3천 원. 삼성 8GB ram 한 장이 지금 컴퓨존에서 이 가격에 팔리고 있습니다. 8기가 램 한 장에 8만원...? 진짜 이게 말이 되나요 ㅋㅋㅋㅋ

Can frontier models actually predict how real people behave? 🕺 Today, in collaboration with @RunRehearsals, we are launching Human Behavior Bench, the first public benchmark that tests whether AI can understand human preference and everyday decision-making. AI models have gotten increasingly good at coding, but knowing for whom to build is the next frontier of challenges for AI models to capture. Human Behavior Bench evaluates models on predicting real human behavior across health, entertainment, recreation, values, and consumption. To build this baseline, we gathered ground truth data directly from real people and evaluated models across a wide range of everyday scenarios: • Ground truth baseline: 1,244 US adults surveyed (June-Sept 2026) • Some cohorts are traditional demographic indicators such as age, income, and location • Other filters are behavioral e.g. GLP-1 patients and recent car buyers • 750 cases total (149 public / 601 private) across finance, health, recreation, values, and consumption • Scored using 1-TVD (total variation distance) Base models still have a significant gap to close to accurately predict human behavior by cohort. LLMs’ predictions tend to converge towards the mean, while the true distribution of human preferences vary greatly. Against a human noise ceiling of ~93, the current leaderboard scores are: Rehearsals’ Engram 1.0 (AI Twins) tops the leaderboard at 94.1%, followed by Gemini 4 Argon at 80.6% Claude Opus 5 at 80.2%, GPT-5.6 Sol at 79.5%.