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hello world - here to yap about the things i'm building over at @0G_labs like @bimodotparty
also will occasionally post research about the state of AI and such
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Red Beem
21 posts
are you prepared for this scenario?
$HYPE has a fair value gap at around $30
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Red Beem retweetledi
The next AI meta is almost here.
@bimodotparty is changing how AI developers raise money and how users contribute to top DeAI projects.
Join the waitlist: bimo.party
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@0G_labs coded 🤔
Alana Levin@AlanaDLevin
Excited to publish my Crypto Trends Report for 2025! It frames crypto’s growth as a story of 3 compounding s-curves: asset creation, asset accumulation, and asset utilization The report applies this lens across five key thematic areas – macro, stablecoins, centralized exchanges, onchain activity, and frontier markets – to predict where the industry may be headed
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Super bullish $GOOG
What happened when they sign deals with video game companies like Rockstar Studios to build massive and evolving open worlds in games like GTA 6?
Also - what happens when Open source catches up to this and we can run these models on $0G compute?
Dream.
Google DeepMind@GoogleDeepMind
SIMA 2 🤝 Genie 3 We tested SIMA 2’s abilities in simulated 3D worlds created by our world model Genie 3. It demonstrated unprecedented adaptability by navigating its surroundings and took meaningful steps toward goals.
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Red Beem retweetledi
Last time SoftBank sold Nvidia was in 2019… they owned 4.9% of the company and sold it for $7.9B.
If they had held on, it would be worth $232B, would have been by far the most profitable trade SoftBank had ever made.
CNBC Tech@CNBCtech
SoftBank sells its entire stake in Nvidia for $5.83 billion cnbc.com/2025/11/11/sof…
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SoftBank dumping nvidia stock to invest in more companies whose main vendor is nvidia
Gavin Baker@GavinSBaker
Someone should look into what happened after SoftBank sold their entire 4.9% stake in Nvidia in 2019.
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@michaelh_0g Everything happened too fast, maybe the quantity was too small.
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Join me on bimo.party ✨ bimo.party/ref/michaelh_0g
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@michaelh_0g its should be limited waitlist, please re-check with dev team sir
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Red Beem retweetledi
0gm
this is why @bimodotparty is important to be built on @0G_labs
Red Beem@redbeeem
build ai just open sourced 10k hours of a dataset of camera content of skilled workers working in a factory that can be used to train robots. now imagine if he released this on @bimodotparty everyone in the dataset would have a vested stake in the models that will be used to train off of their work + build ai onwards
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build ai just open sourced 10k hours of a dataset of camera content of skilled workers working in a factory that can be used to train robots.
now imagine if he released this on @bimodotparty
everyone in the dataset would have a vested stake in the models that will be used to train off of their work + build ai
onwards
Eddy Xu @ CVPR@eddybuild
today, we’re open sourcing the largest egocentric dataset in history. - 10,000 hours - 2,153 factory workers - 1,080,000,000 frames the era of data scaling in robotics is here. (thread)
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hello all - i know that the waitlist got filled up pretty fast the other day.
we have raised the cap 🙂
go sign up!
Bimo.Party@bimodotparty
The next AI meta is almost here. Join the waitlist: bimo.party
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Dope thread on spatial intelligence models
Fei-Fei Li@drfeifei
AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on building and using world models to unlock spatial intelligence in this essay below. 1/n
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The Kimi K2 model is trending no. 2 on @openrouter since launch a few days ago
pretty wild to see
Kimi.ai@Kimi_Moonshot
🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns. K2 Thinking is now live on kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API. 🔌 API is live: platform.moonshot.ai 🔗 Tech blog: moonshotai.github.io/Kimi-K2/thinki… 🔗 Weights & code: huggingface.co/moonshotai
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