Kwasi is back for the deepagents series @DataScienceDojo
. Tools, MCP, and skills, what they are, how they work together, and how to build agents that can actually interact with the world. May 13 | 11am PT https://
datasciencedojo.com/event/ai-agent
-tools-mcp-skills/
…
ROBOTICS
-
DeepAgents Series: Tools, MCP, and Skills
By
–
-
Robot demo hides AGI limitations
By
–
like many robot demos, it is not quite what it seems (or feels like). it quite probably lacks the G of AGI for now.
-
Genesis AI se lance dans la robotique full-stack
By
–
Genesis AI pivoted hard this week from model lab to a full-stack robotics company.
— The Rundown AI (@TheRundownAI) 7 mai 2026
The company released its first foundation model, GENE-26.5, alongside a dexterous robotic hand and a data-capture glove.
GENE-26.5 can run a range of robots, including those by other… pic.twitter.com/MbYTTnMoNoGenesis AI pivoted hard this week from model lab to a full-stack robotics company. The company released its first foundation model, GENE-26.5, alongside a dexterous robotic hand and a data-capture glove. GENE-26.5 can run a range of robots, including those by other
-
Hugging Face Hub crosses 4,000 public RL environments, largest platform?
By
–
The @huggingface hub just crossed 4,000 public RL environments! Does it make us the largest platform for RL envs or are there bigger ones? Let us know what we can do to improve on the topic, it's early and we're excited to keep growing and support more! https://
huggingface.co/spaces?categor
y=agent-environment&sort=trending
… -
BACH AI model generates 30-second multi-shot films
By
–
Tired of AI video models that only generate random 2-sec clips?
— Charly Wargnier (@DataChaz) 7 mai 2026
Meet BACH.
It can hold a sequence together, turning ideas into stunning 30-second multi-shot films 🔥
Already ranking at #6 on the @ArtificialAnlys Video Arena, proving it’s the real deal!
3 WILD demos 🧵↓ pic.twitter.com/uMN4xRpsGRTired of AI video models that only generate random 2-sec clips? Meet BACH. It can hold a sequence together, turning ideas into stunning 30-second multi-shot films Already ranking at #6 on the @ArtificialAnlys Arena, proving it’s the real deal! 3 WILD demos ↓
-
Robot demo raises generalization questions
By
–
This is a cool demo but a key question to ask is "can the robot do any of this with unfamiliar objects or in different conditions?". It looks to me like it is closely mirroring specific human actions. The range and complexity is certainly impressive, but that is not the same as… https://t.co/QSFcN9phLh
— Will Knight (@willknight) 7 mai 2026This is a cool demo but a key question to ask is "can the robot do any of this with unfamiliar objects or in different conditions?". It looks to me like it is closely mirroring specific human actions. The range and complexity is certainly impressive, but that is not the same as
-
Using Human Data for AI-Driven Robotics Development
By
–
If you want to make robots with AI using real world human data, then access to lots of humans, especially if affordable, helps. https://t.co/bBMwJU2mOE
— Bojan Tunguz (@tunguz) 7 mai 2026If you want to make robots with AI using real world human data, then access to lots of humans, especially if affordable, helps.
-
Top AI stories: partnerships, trials and tools
By
–
Top stories in AI today: – Anthropic, SpaceX partner in new compute deal
– Mira Murati speaks out in Musk vs. OpenAI trial
– Use Claude Design’s slide decks feature like a pro
– DeepMind picks EVE Online game as next AI testbed
– 4 new AI tools, community workflows, and more -
Comprehensive Survey of World Models for Robot Learning
By
–
World Model for Robot Learning: A Comprehensive Survey Paper: https://
arxiv.org/abs/2605.00080
v1
…
Repo: https://
github.com/NTUMARS/Awesom
e-World-Model-for-Robotics-Policy
…
Page: https://
ntumars.github.io/wm-robot-surve
y/
… -
Comprehensive Survey on World Models for Robot Learning
By
–
Nice survey! Researchers from NTU, UC Berkeley, Stanford, Oxford, Microsoft, ETH Zurich, Princeton, and Harvard present a comprehensive survey on world models for robot learning. World models are predictive “internal simulators” that let robots imagine how environments evolve