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@arunvenkatadri

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03.03.2025
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Latest posts by @arunvenkatadri

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Ever wish you could just ask an ArduPilot log what happened?

Now you can.

🥯 Bagel now supports ArduPilot flight modes, waypoints, and natural language queries.

Free. Open source. Edge-ready.
👉 github.com/Extelligence...

#ArduPilot #ROS2 #DroneTech #PhysicalAI #Robotics

21.08.2025 01:48 👍 0 🔁 1 💬 0 📌 0
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Physical AI Thesis Part III — A Founder’s Guide to The Long Build™ by Vic Singh and Will Porteous

Honored to be cited in @RRE’s Physical AI Thesis.
Physical AI isn’t just a product problem - it’s a systems problem.
You can’t just look at AI on the robot - every part of the dev process & business matters.

Thanks @vicsingh, Dennis Cherian and Will Porteous

🔗 bit.ly/physical-ai-...

10.08.2025 21:11 👍 0 🔁 0 💬 0 📌 0
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GitHub - Extelligence-ai/bagel: Bagel is ChatGPT for physical data. Just ask questions and get answers. No Fuss. Bagel is ChatGPT for physical data. Just ask questions and get answers. No Fuss. - Extelligence-ai/bagel

Ok so… I’ve been working on something new.
An AI-first, edge-first toolchain for robotics.
It’s called Bagel.

🍞 Open-source
🧠 Built for Physical AI
🛠️ Free & ready for feedback

github.com/Extelligence...

#Robotics #PhysicalAI #EdgeAI #OpenSource #AItools #ROS2 #RobotDev

07.08.2025 18:32 👍 2 🔁 2 💬 0 📌 0

Biggest mistake at Model-Prime? Not going open-source early

In Physical AI, trust = everything:
✅ Verifiability (inspect the code)
✅ Liability (black-box ≠ acceptable)
✅ Traceability (full-stack debugging)

Physical systems need transparency. Open-source updates soon

23.07.2025 19:20 👍 0 🔁 0 💬 0 📌 0

Robots generate massive amounts of sensor data—most of which never gets used.
Data reduction isn’t just optimization—it’s survival.
Compress, prioritize, and preprocess at the edge to enable real-time decisions and efficient learning.
#Robotics #EdgeAI #DataEfficiency

28.05.2025 14:39 👍 0 🔁 0 💬 0 📌 0

If the model is the data, and the toolchain curates the data—then the toolchain is the model.

Curation is creation

#AI #MachineLearning #DataCuration #FoundationModels #Toolchain #Robotics #LLMs #AIInfrastructure #MLOps

19.05.2025 20:05 👍 0 🔁 0 💬 0 📌 0

Physical AI and biological life both emerge from the same substrate: physics and chemistry.
But nature bends entropy to build intelligence in matter.
We’re still catching up—bit by bit, bot by bot.

#AI #Robotics #PhysicalAI #EmbodiedIntelligence #ArtificialLife

14.05.2025 02:05 👍 1 🔁 0 💬 0 📌 0

The future of SaaS is AI-native: platforms that turn sovereign corporate data into real-time, context-aware intelligence. Own the data layer, own the outcome. #AI #SaaS #EnterpriseAI

10.05.2025 19:54 👍 0 🔁 0 💬 0 📌 0

The digital world had its inflection point with transformers + massive-scale pipelines.

Physical AI hasn’t had its moment yet—but it’s coming. Infra is the bottleneck: multisensor data → structured intelligence.

Building in this space? Let’s chat.

#PhysicalAI #RoboticsDev #ML

08.05.2025 03:41 👍 0 🔁 0 💬 0 📌 0
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Waymo and Toyota Outline Strategic Partnership to Advance Autonomous Driving Deployment Toyota Motor Corporation (“Toyota”) and Waymo reached a preliminary agreement to explore a collaboration focused on accelerating the development and deployment of autonomous driving technologies.

Waymo x Toyota: Waymo Driver is coming to personally owned vehicles. A major shift from fleet-only to OEM integration—consumer-grade L4 autonomy from Waymo, this is going to be interesting

waymo.com/blog/2025/04...
#Waymo #Toyota #AVtech #AutonomousVehicles #SelfDriving

29.04.2025 23:08 👍 0 🔁 0 💬 0 📌 0

High AUC alone isn’t enough — generalization, false positives, and interpretability matter too.

But matching radiologist-level performance on complex dynamic MRI data is a massive leap toward AI-augmented healthcare.

#HealthTech #AIforGood #ICLR2025

26.04.2025 11:53 👍 0 🔁 0 💬 0 📌 0

Quick primer:
AUC (Area Under the ROC Curve) measures a model’s ability to distinguish between classes (e.g., cancer vs. no cancer).

An AUC of 1.0 = perfect classification.
0.5 = random guessing.

93.9% AUC = ~94% correct ranking — elite diagnostic performance.

26.04.2025 11:52 👍 0 🔁 0 💬 0 📌 0

A new AI model achieved 93.9% AUC in detecting breast cancer on dynamic contrast-enhanced MRI, matching expert radiologist performance.

Major step toward faster, more accurate early detection.

Details here: bit.ly/3WlhMTV

#AI #MedicalImaging #DeepLearning

26.04.2025 11:40 👍 1 🔁 0 💬 2 📌 0

Being a robotics startup in 2025 means way more than engineers consuming data.

Analytics, compliance, execs, legal, triage teams—they all need access.

Your data platform should serve everyone, not just devs.

Curious what your org needs—DMs open.
#Robotics #AI #DataOps

14.04.2025 13:58 👍 0 🔁 0 💬 0 📌 0
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Llama 4’s Rocky Debut Meta Platforms on Saturday released two versions of Llama 4, the newest generation of its flagship open-source large language model, called Llama 4 Scout and Llama 4 Maverick. The release came a day a...

Some say Llama 4 was rushed in response to DeepSeek,but I wonder if Meta’s push for a massive context window is just them optimizing on a different axis-taking a short-term hit to bet on long-context reasoning.

www.theinformation.com/articles/lla...

#Llama4 #MetaAI #DeepSeek #LLM #AI #GenerativeAI

09.04.2025 13:59 👍 0 🔁 0 💬 0 📌 0

The future of robotics? Look at semiconductors.

Chip design used to rely on physical prototyping,now it’s almost entirely done in simulation. Robotics is heading the same way: design, test, and iterate in software until the final step of fabrication. #Robotics #AI #Automation

03.03.2025 11:54 👍 0 🔁 0 💬 0 📌 0