Introducing Gemini on Mac.
It’s the first time we’re bringing the @Geminiapp to desktop. The team built this initial release with @Antigravity, and it went from an idea to a native Swift app prototype in a few days.
More features on the way!
Today, we’re introducing Skills in @GoogleChrome, a new way to build one-click workflows for your most frequently used AI prompts — like asking for ingredient substitutions to make a recipe vegan, generating side-by-side shopping comparisons across multiple tabs, or scanning long docs to get the info you need quickly.
When you write a prompt that you want to use again, you can save it as a Skill directly from your chat history. The next time you need it, select your saved Skill in Gemini in Chrome by typing forward slash ( / ) or clicking the plus sign ( + ) button, and your Skill will run on the page you’re viewing, along with any other tabs you select.
Living in Scotland 🏴
This pictures are two hours apart.
It’s true, in Scotland, if you don’t like the weather in any particular day, just wait a few minutes. 🤣🤣🤣
Your headphones just became a personal translator in 70+ languages. 🎧✨
Google Translate’s “Live translate” with headphones is officially on iOS. We're also expanding this capability to more countries around the world for both @Android and iOS users.
To try it, open the Translate app, tap “Live translate” and connect your headphones.
"AI will automate your job" i'd like to see AI hop on a quick call with key stakeholders, foster cross-functional collaboration via strategic partnerships, facilitate organizational grabbing of low-hanging fruit across key initiates, and shift paradigms with seamless integration
Today we're launching ARC-AGI-3
135 Novel Environments (nearly 1K levels) we build by hand
It is the only unsaturated agent benchmark in the world
Each game is 100% human solvable, AI scores <1%
This gap between human and AI performance proves we do not have AGI
Agents today need human handholding. Agents that beat V3 will prove they don’t need that level of supervision.
Agents that beat V3 will demonstrate:
* Continual learning - Each level builds on top of each other. You can’t beat level 3 without carrying forward what you learned in levels 1 and 2.
* World modeling - Many of the environments require planning actions many actions ahead. AI will have no choice but to build an internal world model for how the environment works, run simulations “in its head” and proceed with an action
In our early testing, we’ve seen a few clear failure modes of AI:
* Anticipation of future events - If an environment requires that AI set up a scene, and then carry out a scenario (like in sp80), it starts to break down.
* Anchoring on early hypothesis - Early in a game it comes up with a hypothesis (even if wrong) and refuses to update its beliefs later.
* Thinking it’s playing another game - AI thinks it’s playing chess, pacman. The training data holds hard!
One major problem is there is too much data to carry forward in a single context. Models must learn what to remember and what to forget
The agent that beats ARC-AGI-3 will have demonstrated the most authoritative evidence of progress towards general intelligence to date
We're excited to get this out and excited to see what you think
I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights.
What an AI agent says about the dangers of AI is shocking and should wake us up.
Introducing the Developer’s Guide to AI Agent Protocols.
Stop writing custom integration glue for every tool, API, and frontend. We used Google Agent Development Kit to build a B2B agent that handles the full stack using 6 open standards: MCP, A2A, UCP, AP2, A2UI, and AG-UI
The future of agents is interoperable.
Read the full technical guide here: https://t.co/WSu2HDI0R7
Announcing Plan mode in @GeminiCLI ✨
A new read-only mode that lets Gemini CLI explore your codebase, gather requirements, and ask clarifying questions to create a detailed plan.
Read all the details in the launch blog → https://t.co/RBCFSEsY7P
Unpublished "vibe-coded" apps are officially the new unused domains.
After decades of buying domains for great ideas I never started, I've moved on to using AI to help me create apps I'll probably never finish and deploy.
My digital graveyard is getting more sophisticated, but the delusion that I’ll "ship it next weekend" remains exactly the same!
Too many ideas, so little time.