Robothropic AI

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Previewing the Model Hardware Standard         #  (Model Hardware Standard)
28/08/2026

Previewing the Model Hardware Standard

# (Model Hardware Standard)

Anthropic is opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.

Hugging Face Pushes Deeper Into Robotics With MicroDuckBloomberg Technology  Hugging Face
28/08/2026

Hugging Face Pushes Deeper Into Robotics With MicroDuck

Bloomberg Technology Hugging Face

Hugging Face unveiled MicroDuck, the company’s new open-source robo...

Interesting contextual Vision AI research. Vision Language Models are scoring poorly on inference accuracy and one the m...
15/08/2026

Interesting contextual Vision AI research. Vision Language Models are scoring poorly on inference accuracy and one the main challenges for current AI Models is Visual Perception: Humans continue to be much better at visual accuracy perception. This project: ActiveVision is a AI approach trying to get this wide accuracy gap closer, and it is an eye opening for the sometimes excessive optimistic hype around AI. Yes, without proper accuracy scores and better visual reasoning models, current Frontier Models continue to be quite far from any type of General Artificial Intelligence:

ActiveVision
An Exam for Active Observers

Jiarui Zhang*, Muzi Tao*, Shangshang Wang*, Ollie Liu, Xuezhe Ma, Willie Neiswanger University of Southern California · *Equal contribution

We mapped every data centre on earth  (International Energy Agency)
15/08/2026

We mapped every data centre on earth

(International Energy Agency)

In 2025, five technology companies spent more building AI data cent...

Are current LRMs (Large Reasoning Models) really doing real reasoning with their responses ? We might do welll to take a...
31/07/2026

Are current LRMs (Large Reasoning Models) really doing real reasoning with their responses ? We might do welll to take a breath and look into this phenomena with good Human-thought lenses, even if these systems have an incredible tremendous potential to transform Human reosoning through their combinatorical possibilities and speed. But even then there is the question of the 'Black Box'....

Is AI Reasoning Right for the Wrong Reasons?

Quanta Magazine (Large Reasoning Models)

The idea that artificial intelligence can “reason” is more intuitive than ever. But intuitions can be wrong, and the science is far from settled.

Turning Compute Into Data for Physical AI With NVIDIA CosmosNVIDIA NVIDIA Robotics
22/07/2026

Turning Compute Into Data for Physical AI With NVIDIA Cosmos

NVIDIA NVIDIA Robotics

The real world is infinite and unpredictable. Physical AI needs dat...

Physical AI: From Lab to Factory Floor - Foundation models for robotics are real. Deploying them at industrial scale is ...
22/07/2026

Physical AI: From Lab to Factory Floor -
Foundation models for robotics are real. Deploying them at industrial scale is a different problem. Here is what the path actually looks like. Co-developed and co-written by Nuno Edgar Nunes Fernandes

AI

Link to the Article here and in the comments section:

https://robothropicai.substack.com/p/physical-ai-from-lab-to-factory-floor

Proud to showcase my MongoDB Building AI Agents skill badge from MongoDB. This digital credential validates my knowledge...
22/07/2026

Proud to showcase my MongoDB Building AI Agents skill badge from MongoDB. This digital credential validates my knowledge in building and deploying AI agents using MongoDB. It recognizes my understanding of creating a multi-tool AI agent that leverages data stored in MongoDB, defining the decision-making capabilities of agents to effectively utilize multiple tools, and implementing both long-term and short-term memory for AI agents using MongoDB.

This digital credential validates your knowledge in building and deploying AI agents using MongoDB. It recognizes your understanding of creating a multi-tool AI agent that leverages data stored in MongoDB, defining the decision-making capabilities of agents to effectively utilize multiple tools, and...

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2560-042

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