I’ve just received the biggest energy bill I’ve ever had for a tiny three bed semi on top of that water rates doubled council tax up@UKLabour @Keir_Starmer working class Britain is being royally fu*~€d. Meanwhile benefit scroungers feet up drinking champagne!!!
Every now and then you come across a real gem. Amy Winehouse & Paul Weller - I Heard It Through The Grapevine (Live at ... https://t.co/8PZFlMbw3a via @YouTube
We’re announcing our first Token Holder Call on November 24th, 2025 at 1PM EST.
We’ll review business progress, revenue and growth highlights, updates related to the token’s role in our ecosystem, and major initiatives ahead.
Questions may be submitted in advance through the registration form on Luma.
Register here: https://t.co/lDq3SUZ20C
Grass × @inference_net × @laion_ai
100 million scientific papers processed with open models, making global research structured, searchable, and accessible to both people and AI.
A milestone for open, connected science.
https://t.co/Rsh2vNgGqH
We are excited to announce that we have raised $10m from @polychain and @tribecap. This investment will be used to support growth, expand infrastructure, and accelerate the path to our goal of an internet scale web crawl.
The Bitcoin halving myth is dying.
By 2028, nobody will care about it.
That's what institutional data reveals $27.4 billion in ETFs just proved the 4-year cycle was never real.
Here's what actually drives crypto:
Meet ClipTagger-12b.
A new video annotation model built with Grass’s real-world video data, trained and deployed by @inference_net on their distributed compute network.
It delivers high accuracy video labeling at a fraction of the cost, and it’s live today.
Read more: https://t.co/viLoAZOjdO
We’re showcasing select projects built at Grass in a new mini‑series. The first post explores how we’re using ML to improve data labeling and filtering so customers get exactly what they need without complex one‑off pipelines.
Read more: https://t.co/IcTookqKAM
The infrastructure for working with video data at scale barely exists. Grass Video Search is our first step in changing that.
You can now find anything in a video based on the contents of its frames, not just transcripts or tags.
Over the last several months, the Grass Foundation has quietly assembled one of the largest video datasets in history: over a billion videos from across the public web, and is segmenting them by scene with VLM annotations of keyframes. This dataset is now searchable, so you can find the exact moment a visual, pattern, or concept appears.
Curation has always been the bottleneck in video analysis. We built a system that automates it.
This is just the beginning. Over 4 billion additional videos are queued for processing, and the index is growing daily.
We’re opening access to a limited set of collaborators. If you’re a researcher, journalist, or nonprofit working with video, archives, or large-scale analysis, we’d love to hear from you.