Google brings text, code, images, video, and audio into a single retrieval space. Understand how it finds information, along with the tradeoffs between model memory, input budgets, and vector compression.
From sales leads and game obstacle avoidance to an expression-changing frog: explaining how the Decisions API hands judgments over to software, why it resembles Jev, and what probabilities, scores, and "up to 10x faster" really mean.
Retains Flash-level efficiency while improving image quality, typography, subject consistency, and local editing, with support for multiple reference images, search, and video input.
Personal card spending data added for the first time: Who spends $903 a month, where does the money flow, and how can AI get everyday people to keep using it?
SemiAnalysis benchmarks: A wide gap opens in workhorse model quotas, while flagship tiers and high-priced plans reveal how both companies are pulling back compute subsidies in different ways.
Training a small model inside real Agent tools such as Claude Code, Codex, and OpenCode teaches it to finish tasks with fewer unnecessary operations.
Lauren Tan’s experience shows a shift in responsibility: turning tasks that repeatedly require human intervention into capabilities AI Agents can use on their own.
From a bug reported in Slack to a phone call during a commute, to alerts after deployment: Dominik Kundel shares how a proactive personal Agent picks up the follow-up work between Codex tasks.
A conversation between OpenRouter and Replit: general-purpose models handle exploration while specialized models take over repetitive tasks, with enterprises combining them using their own data, evaluations, and permissions.
Following official examples of PDF form filling and data querying, this guide clarifies how a Skill evolves from real task failures into a reusable methodology.
From plain text to interactive web pages and custom explainer videos, an in-depth look at turning AI outputs into understandable, verifiable results.
Using off-the-shelf development boards, Raspberry Pi, or Home Link, bring Muse out of the chat window onto your desk and home network; the three paths differ in purpose, requirements, and permissions.
From hand-drawn animations to product launch videos and an island fishing game, understand how ten community projects are built, where to start reusing them, and their practical prerequisites.
From demonstrations of a model's 'mental breakdown' and a rabbi's question on 'slavery' to disagreements at the Vatican: how a moral formation project led the company toward far heavier responsibilities.
From hyperscaler cash flows and older GPU rental rates to enterprise AI ROI and startup funding, understand what is driving this tech cycle and the questions that remain unanswered.
From grasping objects to reorienting them in hand, Boston Dynamics co-designed mechanical structure, force feedback, and simulation training, moving Atlas closer to using tools and adapting to real-world industrial workstations.
Place context readings above the prompt, inspect the blast radius before dangerous commands run, and review a round of edits step by step: three official examples explaining what Mods do and how to write them.
In a one-minute video call, 26 out of 54 participants believed they were speaking with a real human. How does Griffin coordinate voice, facial expressions, gestures, and turn-taking timing? From the original demos to the testing methodology, here is a complete breakdown of the release.
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