Manish Kumar Narula

Software Developer

[Manish Kumar Narula @narulama]

@R0h1t_Sharma_ I don’t think we newd to develop one. already there are multiple options. you may try telegram, and other video sharing apps. who is stopping you!

[Kaggle @kaggle]

What's the one Kaggle competition or hackathon you'll never forget?

[Kaggle @kaggle]

The @NFL Big Data Bowl 2027 is live! 🏈

Build an analytical framework that uncovers non-obvious, actionable linkages between 10 Hz Combine sensor tracking data and future regular-season NFL game performance.

• Prize Pool: $100,000
• Entry Deadline: January 6, 2027

[Manish Kumar Narula @narulama]

@0xLupenn ha ha. in roulette bet red and white i used to think there is a 50-50 chance. yet i lost. this is well explained. but what if i bet 50$ on red and 50$ on white. house will still tend to lose

[Anil Ananthaswamy @anilananth]

The 2026 Nobel Prize for Physics

"We built it, and we'll see what comes," Francis Halzen told me back in 2007. IceCube was his Field of Dreams. Today, the dreamer and the instrument win the Nobel Prize in Physics. I visited the South Pole in 2007 to observe IceCube being built and wrote about it in The Edge of Physics.

An excerpt from the book:

IceCube has turned the icy wastes of Antarctica into a neutrino physicist’s field of dreams. “Everybody thinks something will be seen at a cubic-kilometer scale,” said Halzen. “I’m not responsible for what is emitting neutrinos in the universe. We developed the technique, we built it, and we’ll see what comes.”

IceCube is venturing into the unknown. It’s a discovery instrument, not unlike the proposed Square Kilometre Array or the Large Hadron Collider near Geneva, Switzerland. These behemoths will serve physics for decades, peering through the mists of time to let us glimpse our very beginnings.

Edward Wilson, who accompanied [Robert Falcon] Scott to the South Pole and died with him on the way back to McMurdo, might as well have been speaking about the IceCube scientists when he penned these words during his brief sojourn in Antarctica:

And this was the thought that the Silence wrought
As it scorched and froze us through
For the secrets hidden are all forbidden
Till God means man to know,
We might be the men God meant should know . . .

[Manish Kumar Narula @narulama]

@ThePuneMirror arre aisa na karo please 🙏🏻 bahut kaam hain

[Manish Kumar Narula @narulama]

@NIKHILLJHA @Niva_Bupa basically i am fed up of quality customer care in this country. they just take money after which for services you have to fight tooth and nail.

[Manish Kumar Narula @narulama]

@NIKHILLJHA @Niva_Bupa for renewing the policy they literally ran after my life. i hope for settlement also i will get same treatment.

[Manish Kumar Narula @narulama]

@Niva_Bupa @BupaNiva @NivaBupaSupport need help to download the policy

[shobhanai @HeyShobhan]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he condensed everything he knows into one free 2-hour lecture

Agents → Loops → Harness → Self-Improving Systems

People pay $14K for bootcamps that teach less than this

This lecture beats most paid AI engineering courses

You probably don't have 2 hours right now

Don't let this disappear from your feed

Watch it

Then read the article below

[Manish Kumar Narula @narulama]

@ThePuneMirror rto has nothing good to do. they have all advanced systems in place to collect taxes and fine the middle classes but service delivery is of lowest quality. It has been many years for them in service, why don’t they pay fine to people for their poor services.

[HackerNoon | Learn Any Technology @hackernoon]

What does a 40-year-old database have to do with the AI boom?

Explore why PostgreSQL is adapting to AI workloads while giving developers a trusted foundation for applications, data, and more: https://t.co/1jHkjtH9md

[Demis Hassabis @demishassabis]

Biosecurity is one of the most urgent challenges for the AI era. Bringing SynthID to biology so AI-generated proteins can be watermarked is a critical step - and we’re open sourcing SynthID Bio tools so the research community can build on this work. Published in @Nature today, congrats to the team! https://t.co/Y4sv8bnGQY

[Google AI @GoogleAI]

Announcing Gemini 4 Argon, our new frontier model.

Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.

We’re also expanding the model’s output token limit to an industry-leading 1M tokens.

Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.

[Demis Hassabis @demishassabis]

Very excited to announce Gemini 4 Argon, our new Frontier AI model, and a huge step forward across key capabilities. We’re focused on rolling it out responsibly starting with government and trusted cyber defenders through our Fairwind Program today, before wider availability soon

[London Mathematical Society @LondMathSoc]

The 2026-27 Round of LMS Early Career Fellowships are live, open to early career mathematicians in the transition between PhD and a postdoctoral position.

Deadline is TOMORROW (1 October 2026).

For further details ➡️ https://t.co/Gn9eEDL3QK

[Mori @0xjmori]

Google Brain founder Andrew Ng:

"Prompting will die in 7 months

Harnesses are what's replacing it"

Prompts → Agents → Harness → Loops → Graphs → Self-Improving Systems

In just 97 minutes, Andrew shows how to build a harness that lets agents plan, execute, verify, and improve on their own

A harness → Loads the right context → Routes each task → Checks the result → Triggers the next step

Most people are still perfecting prompts while AI engineering is already moving into the harness

Watch it today

Then save the full guide on harness engineering below ↓

[Andrew Ng @AndrewYNg]

The OpenAI-Hugging Face hack was enabled by weak sandboxing. It is great that Nvidia is releasing open source tools for sandboxing AI agents. OpenWorker, our open-source agent harness supporting cybersecurity workflows, is proud to support this.

A sandbox gives an agent limited permissions. OpenWorker is building on Nvidia OpenShell and will support running each agent's commands inside a sandbox. Only the files relevant to the task go in. Secret API keys, your web browser login credentials, the ability to access arbitrary websites, are inaccessible to the agent by default. These restrictions are implemented in deterministic code rather than by prompting an LLM, which can make mistakes or be susceptible to prompt injections. Further, all actions are logged for monitoring and audit.

I'm grateful for @JensenHuang's leadership making AI agents more secure. OpenWorker (which @rohitcprasad and I are working on) will continue to improve security for agents.

[Residual @res1dualedge]

Andrew Ng just dropped the best 2-hour course on Graph Engineering: from single agent to full automation

9:14 - your first agent
33:11 - loop engineering
1:02:46 - graph engineering
1:30:15 - agents that rewrite themselves
1:49:05 - full graph system

two hours, and it replaces every agent tutorial you bookmarked this year

Prompts → Agents → Loops → Graphs

most people will stop after the first agent and call it automation

he saves the last forty minutes for the graph that runs it without him

same model, same tokens, completely different week

watch it today

the step-by-step guide is below, save it while it is still early ↓