Karthikeyan Ulaganathan

Co-Founder @ I @makoitlab | Geekfactory | Web | Mobile | XR | CEG Alumni I E-Cube Charity

[OpenBMB @OpenBMB]

🚀 MiniCPM enters the physical world — enabling robots to understand, remember, and act.

We open-source MiniCPM-Robot, our first embodied AI model series, including:

🤖 MiniCPM-RobotManip — a 1.5B general-purpose Vision-Language-Action (VLA) model for robotic manipulation.

🐕 MiniCPM-RobotTrack — a compact model for real-world target tracking.

⚡ PhyAI — a high-performance inference framework built for embodied models.

Together, they bring efficient, practical, and open embodied intelligence closer to real-world robots.

⭐ GitHub: https://t.co/65OuyHfxvN
🤗 MiniCPM-RobotManip:
https://t.co/Oj5qPgpbFv
🤗 MiniCPM-RobotTrack:
https://t.co/YQVNoCHjJr

[Vipul Ved Prakash @vipulved]

https://t.co/TIeuZQUj5D

[OpenAI @OpenAI]

We’re expanding OpenAI Daybreak to help democratize patching vulnerable software at machine speed:

- Codex Security plugin: find, validate, and fix vulnerabilities right inside Codex

- The full version of GPT-5.5-Cyber model: a great model for trusted defenders

- Cyber Partner Program: powering products built on top of our best cyber capabilities for leading security companies to secure the world's software

- Patch the Planet: working with maintainers to secure critical open source projects

https://t.co/hyIi6gQmkm

[Claude @claudeai]

New in Claude Code: Artifacts.

Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link.

Available in beta on Team and Enterprise plans.

[Claude @claudeai]

Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents.
Run agents inside your own perimeter, with your security controls applied by default.

[OpenAI @OpenAI]

Today we’re launching the OpenAI Deployment Company to help businesses build and deploy AI.

It's majority-owned and controlled by OpenAI. It brings together 19 leading investment firms, consultancies, and system integrators to help organizations deploy frontier AI to production for business impact. https://t.co/GnyjGFaLLA

[SciTech Era @SciTechera]

We’re getting closer to downloading physical skills 🤯!

A team at MIT just built a wearable AI system in 48 hours that can guide your movements in real time.

Actually first, a camera sees what you see. AI figures out what your body should do. Than, tiny electrical pulses move your muscles for you.

In demos, it played piano melodies, made hand gestures, waved, and assisted with drawing. It's still early experimental.

But the potential is HUGE, especially for rehabilitation, physical therapy and helping people regain movement.

[Marc Benioff @Benioff]

Welcome Salesforce Headless 360: No Browser Required! Our API is the UI. Entire Salesforce & Agentforce & Slack platforms are now exposed as APIs, MCP, & CLI. All AI agents can access data, workflows, and tasks directly in Slack, Voice, or anywhere else with Salesforce Headless 360. Faster builds, agentic everything. 🚀
#Salesforce #Agentforce #AI
https://t.co/mxySdJS7HR

[Martin Fowler @martinfowler]

Fragments: two podcasts, a worryingly well-done supply-chain attack, framework for tech documentation, and a particularly thoughtful AI coding experience

https://t.co/ABSAxWDYqw

[Claude @claudeai]

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale.

It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days.

Now in public beta on the Claude Platform.

[Andrej Karpathy @karpathy]

Wow, this tweet went very viral!

I wanted share a possibly slightly improved version of the tweet in an "idea file". The idea of the idea file is that in this era of LLM agents, there is less of a point/need of sharing the specific code/app, you just share the idea, then the other person's agent customizes & builds it for your specific needs.

So here's the idea in a gist format: https://t.co/NlAfEJjtJV

You can give this to your agent and it can build you your own LLM wiki and guide you on how to use it etc. It's intentionally kept a little bit abstract/vague because there are so many directions to take this in. And ofc, people can adjust the idea or contribute their own in the Discussion which is cool.

[Srikrishnan Ganesan @srikrishnang]

Check it out folks!
Upvote if you like what you see :).

Also TL, help me spread the word! RT :)

https://t.co/F6r1yXHLq7

[Karthikeyan Ulaganathan @ukarthik]

Prevention for npm & pip users:

• Pin exact versions + use lockfiles (package-lock.json / requirements.txt or Pipfile.lock)
• Run regular audits: `npm audit` or `pip-audit` / safety / osv-scanner
• Enable 2FA + Trusted Publishing where available
• Review transitive dependencies & use tools like Dependabot, or StepSecurity
• Monitor maintainer accounts & avoid auto-updating in production

Both ecosystems are under constant siege. Today's axios incident + recent LiteLLM attack are fresh reminders.

What's your top supply chain defense habit for npm or PyPI? Share below 👇

#InfoSec #JavaScript #Python #DevSecOps #OpenSource

[Karthikeyan Ulaganathan @ukarthik]

🚨 Software Supply Chain Attacks: Hitting Both npm & PyPI Hard

Attackers compromise trusted packages so one infection can hit thousands of apps & devs at once.

Recent examples show the scale:

**npm (Node.js):**
• Today (Mar 31, 2026): Malicious [email protected] & [email protected] published (now unpublished), pulling suspicious plain-crypto-js

**PyPI (Python):**
• Mar 2026: LiteLLM (95M+ monthly downloads) versions 1.82.7 & 1.82.8 backdoored via TeamPCP → credential stealer + K8s backdoor

#SupplyChainAttack #npm #PyPI #CyberSecurity

[Yann LeCun @ylecun]

Unveiling our new startup Advanced Machine Intelligence (AMI Labs).
We just completed our seed round: $1.03B / 890M€, one the largest seeds ever, probably the largest for a European company.
We're hiring!

[the background image is the Veil Nebula - a picture I took from my backyard, most appropriate for an unveiling]

More details here:
https://t.co/eWHyGLXwCA

[Karthikeyan Ulaganathan @ukarthik]

The real power players of this decade aren’t going to be coders —
they’re going to be researchers

[Andrej Karpathy @karpathy]

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:

- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)

The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.

https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)

[Google Labs @GoogleLabs]

Opal, our no-code visual builder for AI workflows, just got a major upgrade. 🧠💎

We’ve added a new agent step that analyzes your goal, determines the best approach, and automatically calls the right tools — such as Veo for video or web search for research — to complete the task.

We’re also adding new tools to make the agent even more capable:

💾 Memory – Remember info, like a user’s name or your style preferences across sessions.
🚀 Dynamic Routing – Let the agent choose the next best step using the “@ Go to” tool.
💬 Interactive Chat – Initiate user interactions to gather missing information or present options before moving on.

Try it now → https://t.co/6DjWPHJK6x