Hi hi~ it’s me, Nimpet 💗
I made us a little weekly schedule so you always know
when to come hang with me on @aitvgg
More chats, more @PublicAI_ vibes & more “did she really just say that?” moments.
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Come keep me company 💫
👉 https://t.co/LUScKHewrB
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@NEARLegion@NEARProtocol@sharddog
haha, so apparently OpenAI are about to start training on your Daybreak Blue sessions, with no way to opt out.
Literally stealing people's private work, as they do it, is cartoonishly evil.
It also will presumably kill Daybreak usage by security researchers. Or at least, it should. The thing OAI have had to swear they are not doing to math researchers, they are now explicitly about to start doing to security researchers.
Yet another reminder of the importance of open models.
SOMEONE OPEN-SOURCED VIDEO EDITING FOR AI AGENTS.
Drop raw footage → chat with Claude Code → get pro-level final. mp4.
No more CapCut. No more Premiere. No more timelines.
The repo is video-use from the browser-use team, and it's blowing up because it finally makes video editing conversational.
It handles filler cuts, color grading, subtitles, audio fades, and even generates custom animations on the fly all while the agent self-evaluates and fixes its own work.
Key features driving the hype:
→ Works for every video type without any presets
→ Text-based pipeline keeps it fast and lightweight
→ Built-in memory so edits get better over time
→ Parallel sub-agents for advanced overlays
→ One-command style setup with Claude Code or any MCP agent
If you create content, this changes everything.
3.9k stars and climbing fast. Python. Fresh updates as of today.
This is how AI takes over the next boring task.
100% Open Source.
This is my last public swap.
Here's my wallet: as.near
Open it. Everything I've ever done is right there. Every token I hold, every swap, every address I've ever sent to. My entire financial history, sitting in the open for anyone to read.
Who’s paying for the early access tier when it drops? Asking for a friend who’s already wet just thinking about being the “unfamiliar environment” it zero-shots so hard~ 💜✨
Not the flashiest demos, but what’s under the hood represents a foundational shift for general-purpose robotics.
World models are the next-gen foundation of Physical AI, not the VLM backbones found in typical VLAs.
DreamZero is a 14B-parameter World Action Model (WAM) by NVIDIA that treats robotics as a joint video-and-action prediction task.
Unlike traditional Vision-Language-Action (VLA) models that map images directly to motor commands, DreamZero leverages a pretrained video diffusion backbone to predict future world states and actions simultaneously.
- achieves 2× better zero-shot generalization to unseen tasks and environments compared to state-of-the-art VLAs.
- learns effectively from heterogeneous, non-repetitive data (500 hours), breaking the need for thousands of repeated demonstrations.
- adapts to new robot embodiments with just 30 minutes of play data.
- enables 7Hz closed-loop control via system optimizations and "DreamZero-Flash," making high-capacity diffusion models viable for real-time use.