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7.2M views
Exciting expansion! @Waymo now serves the whole SF Bay Area Peninsula from SF to San Jose and is taking riders on freeways.
https://t.co/fNgqQtHB7b
3.9M views
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,
1.7M views
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length
Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long
1.3M views
Introducing Gemma - a family of lightweight, state-of-the-art open models for their class, built from the same research & technology used to create the Gemini models.
Blog post:
https://t.co/cLTjoQWsxE
Tech report:
https://t.co/u4photzM9E
This thread explores some of the
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🔥 Top post: Exciting expansion! @Waymo now serves the whole SF Bay Area Pen · 7.2M views
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Exciting expansion! @Waymo now serves the whole SF Bay Area Peninsula from SF to San Jose and is taking riders on freeways.
https://t.co/fNgqQtHB7b
AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-h…
If you want to know more about how Google Flights works, airline tickets, and why it is super complicated to deal with all the constraints and the combinatorial combinations, I highly recommend this set of slides by Carl de Marcken, one of…
We're using a ReLU to set tariffs?
I can't believe they've just cancelled the Epidemic Intelligence Service program at CDC.
My father was an EIS officer:
https://t.co/fqv3JcZTax
@Farzad_MD's thread below gives you a sense of the kind of people in this elite program to tra…
After 25.3 million autonomous miles driven, @Waymo vehicles have an 88% reduction in property damage claims and a 92% reduction in bodily injury claims compared to human drivers per mile driven. 🚖
Introducing Gemini 2.0 Flash Thinking, an experimental model that explicitly shows its thoughts.
Built on 2.0 Flash’s speed and performance, this model is trained to use thoughts to strengthen its reasoning.
And we see promising results …
25 years ago today I officially started at a small search engine company, wedged into a tiny office space above what's now a T-Mobile store in downtown Palo Alto. Since then, I have had the incredible pleasure of working with awesome colle…
@Komaniecki_R Not dead, just berried.
Introducing Gemma - a family of lightweight, state-of-the-art open models for their class, built from the same research & technology used to create the Gemini models.
Blog post:
https://t.co/cLTjoQWsxE
Tech report:
https://t.co/u4phot…
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length
Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiator…
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the …
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🕵️ Fake follower check
Estimated- Est. 85% real, active audience · Low fake-follower risk.
- Engagement (~1.5× of followers engage each post) is around typical for X.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (8+ years old).
- 1.28% engagement — below the ~14.4% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
CMO Bihar
17%
Anand Kumar
15%
Prof. Dr Kafeel Khan
14%
Zachary Levi
14%
Jon Lovett
13%
Vlad Tenev
10%
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