Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost
🔹 Built for long-horizon agentic coding and self-evolving workflows
Kimi K3 is now live on on https://t.co/zrk6zZxZUo, Kimi Work, Kimi Code, and the Kimi API.
Open Weights by July 27, 2026.
🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/YTfiMSNM1f
Robotics is getting its Raspberry Pi moment.
This solves one of the biggest frictions in Physical AI:
Everything has been fragmented.
Different tools for control. Sensors. Calibration. Learning.
Now it’s one unified stack:
• motor control to VLA models in one system
• built for real hardware, not just simulation
-> norma_core_dev just entered PUBLIC ALPHA.
The real unlock is ElRobot:
• 7+1 DOF arm
• fully 3D printable
• ~220$ cost
• ships with CAD, URDF, full build guide
Not a demo…
Infrastructure.
And the part most people will underestimate:
auto-calibration for any robot
No manual tuning.
No trial and error.
Just:
code → hardware → working system
That removes one of the biggest hidden bottlenecks in robotics.
Which unlocks:
• faster iteration
• cheaper experiments
• real-world data loops
Exactly what Physical AI needs.
We’re moving from:
“Can we make it work?”
to
“How fast can we improve it?”
Thank you so much for sharing, @ErickSky!
📍Repro: https://t.co/kZMTck7gWB
Credit: https://t.co/y4DoELlejk
🚨The Arsenal parade held over 1.5million fans which officially makes it the largest event ever held in the country.
Arsenal fans, simply incredible.
London will forever be red. ❤️
RF-DETR is now available in @huggingface transformers
state of the art in both detection and segmentation, outperforming YOLO architectures
- checkpoints: https://t.co/bYjEpSsG9j
- demo: https://t.co/jbtcctiSaB
- docs: https://t.co/sptIDxe8iy
there's no catch; SAM3 is open source and really good
one of the things it does really well is object tracking, even in crazy complex scenes like basketball
probably my favorite computer vision model ever