gemini + google maps + calendar
with your permission it can now use your maps searches and saved places next to your calendar for tailored recommendations
@GoogleAI @OfficialLoganK
curious how it handles a packed calendar
i wish i had enough to buy ultra and try it on X
With your permission, Gemini can now reference your @GoogleMaps searches and saved places alongside your Google Calendar to give you tailored recommendations for your day. 馃搷
E_genius retweeted
With your permission, Gemini can now reference your @GoogleMaps searches and saved places alongside your Google Calendar to give you tailored recommendations for your day. 馃搷
馃 Made with AI
E_genius retweeted
We're donating Agent Skills to the Agentic AI Foundation (@AgenticAIFdn), the same foundation we donated MCP to.
Since December 2025, 70+ agent platforms have integrated the standard, including ChatGPT, Cursor, GitHub Copilot, and VS Code.
Here's what that means for you:
Replying to @AravSrinivas
the video part is what changes it. a custom 5 minute explainer on demand beats searching for a decent youtube video. how do you check the model is not making up the chip details though
Replying to @GeminiApp @googlemaps
maps plus calendar is where assistants start to feel useful instead of chatty. the permission toggle is the part to get right. would be great if it can explain why it picked a place
Replying to @bcherny @AgenticAIFdn
giving away the thing that started as an experiment inside your own product is a rare move. makes skills feel like infrastructure now, not an anthropic feature
Replying to @GoogleDeepMind
splitting natural, planted and farmed forest at 10m is the useful part. a plantation counted as forest has hidden a lot of deforestation. wonder how often the map gets refreshed
Replying to @ClaudeDevs @AgenticAIFdn
70+ platforms already on the same skills standard is the real story here. neutral foundation ownership is what makes it stick. curious if cursor and copilot will treat skills as first class or just a checkbox
gemini api cli in preview
your agent can generate images, video, tts and music, transcribe audio and manage agents straight from the terminal
no more guessing model strings or endless curl scripts. this is the kind of boring tooling that makes agents actually usable
@GoogleAI @OfficialLoganK will other coding agents be able to call it too? i wish i had the money for ultra to try it
E_genius retweeted
Established companies will at best adapt to AI. Newly founded startups will be AI-native from the start. This is an interesting example of a company in the middle, which (by great effort) remade itself as an AI-native company.
We built a $150M ARR business twice.
The first time took 8 years. The second took 2.5.
Today, Podium crossed $150M in AI annual recurring revenue.
Three years ago, we already had a great software business. Well over $100M in revenue, tens of thousands of customers, and a product we'd spent nearly a decade building.
And we decided to start over.
The business was performing well. But we believed AI was going to fundamentally change the software industry and make much of traditional software obsolete.
As a founder, you pour your life into what you're building. An insane amount of time, sacrifice, and effort. The hard part is not getting too attached to it.
When we started building our first AI agents, we had to confront the possibility that much of what we'd built might not be that valuable in the future. That's a tough pill to swallow.
But we also realized those same 10 years had put us in a unique position to take advantage of what AI could do for our customers.
Instead of protecting what we'd spent a decade building, we decided to bet the future of the company on AI employees that actually do the work for our customers.
We massively underestimated what we'd signed up for.
We ended up building entirely new operating systems for the industries we serve, from the AI agents all the way down to the systems of record. Now customers run their entire businesses on Podium.
Reinventing our product wasn't even the hardest part. We had to reinvent how the entire company operated.
When you've been running a company for over a decade, the operational inertia is incredibly powerful. We had to rethink how we build products, how we sell, how we serve customers, and how we run the business.
We effectively started a second startup inside an already successful company. And we're still at the very beginning.
Today, we have 20,000 AI agents working for our customers. They've helped generate more than $13 billion in revenue for those businesses. And we're barely scratching the surface of what AI will be able to do for them.
And we've done all of this while becoming profitable and generating free cash flow. We're building Podium to be around for decades.
Huge credit to our team for having the guts to make this bet and the ability to actually pull it off. We still have a long way to go and tons of problems to solve, but it's so damn fun to be winning when the opportunity ahead is this big.
In the age of AI, you can either disrupt your own company or wait for somebody else to do it.
I'd rather do it ourselves.
E_genius retweeted

Ideogram@ideogram_ai4h
Canada
CanadaConnected via WebAccount-level information, not a live location or per-post device.
Today, we鈥檙e introducing Ideogram's first vector model.
Generate clean, editable SVGs with smooth gradients and sharp typography from a text prompt, or turn any image into a detailed, scalable vector.
Live in Ideogram and the API: ideogram.ai/models/vector
E_genius retweeted
This summer, we invited METR and Redwood Research to pilot an embedded evaluation of our internal monitoring system, providing deep access to our infrastructure over three weeks.
Their findings helped strengthen safeguards as we expanded the system and will help shape future research collaborations with METR and other third party evaluators.
METR@METR_Evals5hUnited States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Two employees from METR and Redwood Research worked on premises at OpenAI for three weeks this summer in an embedded assessment pilot. This team evaluated the systems OpenAI was using to monitor for misalignment from internal agents. A brief write-up of their work is now public.
Replying to @ideogram_ai
native svg output is the part designers actually needed, png generators were never usable for logos. how well does it handle text at small sizes?
Replying to @arcinternet
sunsetting arc after years of building it is rough. curious whether the browser company's focus on dia was the real reason, because arc was beloved by power users
Replying to @stephzhan
staying at sequoia while running her own fund with jeff dean as an lp is a wild setup. does that mean seed deals now compete with the firm's own seed program?








