Nagesh Pobbathi

Builds products, scales companies. Dabbles in stuff, lifelong learner.

[Nagesh Pobbathi @npobbathi]

@ronaldmannak Don't worry - a bunch of investors hyping them, so they must be good /s

[Jeffrey Lai @JeffLaiX]

🚀Tomorrow: IrisGo for Solopreneurs launches on @ProductHunt.

Show it a task once. @irisgoai handles it from there 🤓

Get notified when we go live: https://t.co/gfDxIaSVOr

[Nagesh Pobbathi @npobbathi]

@paulg Yes - bots <> bad by default. Businesses better be ready to welcome them as legit customers.

[Nagesh Pobbathi @npobbathi]

Why everyone in quantum computing is buzzing about Google’s move into ‘neutral atoms’ - Fast Company https://t.co/WliEggl67b

[Nagesh Pobbathi @npobbathi]

The engineer racing to run the world’s most dangerous algorithm - New Scientist https://t.co/TOwEilENPn

[Paul Copplestone - e/postgres @kiwicopple]

who made this masterpiece ?

[Nagesh Pobbathi @npobbathi]

@jack Got the app, setup a community, all excited to add people, but banging my head over how to do it.
Wish you had made inviting people easier on launch day!

[Nagesh Pobbathi @npobbathi]

@jack Love the onboarding flow! Good job!

[jack @jack]

https://t.co/WFWSz5jEpc

[Nagesh Pobbathi @npobbathi]

Agents that learn and self-improve will fuel the next wave of agentic innovation. https://t.co/N0MOYEsyCI

[Nagesh Pobbathi @npobbathi]

Securing your OpenClaw self-hosted on GCP https://t.co/2lV41doNAU

[Claude @claudeai]

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude.

Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.

My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.

So, here goes.

[Andrew Ng @AndrewYNg]

There is significant unmet demand for developers who understand AI. At the same time, because most universities have not yet adapted their curricula to the new reality of programming jobs being much more productive with AI tools, there is also an uptick in unemployment of recent CS graduates.

When I interview AI engineers — people skilled at building AI applications — I look for people who can:
- Use AI assistance to rapidly engineer software systems
- Use AI building blocks like prompting, RAG, evals, agentic workflows, and machine learning to build applications
- Prototype and iterate rapidly

Someone with these skills can get a massively greater amount done than someone who writes code the way we did in 2022, before the advent of Generative AI. I talk to large businesses every week that would love to hire hundreds or more people with these skills, as well as startups that have great ideas but not enough engineers to build them. As more businesses adopt AI, I expect this talent shortage only to grow! At the same time, recent CS graduates face an increased unemployment rate, though the underemployment rate — of graduates doing work that doesn’t require a degree — is still lower than for most other majors. This is why we hear simultaneously anecdotes of unemployed CS graduates and also of rising salaries for in-demand AI engineers.

When programming evolved from punchcards to keyboard and terminal, employers continued to hire punchcard programmers for a while. But eventually, all developers had to switch to the new way of coding. AI engineering is similarly creating a huge wave of change.

There is a stereotype of “AI Native” fresh college graduates who outperform experienced developers. There is some truth to this. Multiple times, I have hired, for full-stack software engineering, a new grad who really knows AI over an experienced developer who still works 2022-style. But the best developers I know aren’t recent graduates (no offense to the fresh grads!). They are experienced developers who have been on top of changes in AI. The most productive programmers today deeply understand computers, how to architect software, and how to make complex tradeoffs — and who additionally are familiar with cutting-edge AI tools.

Sure, some skills from 2022 are becoming obsolete. For example, a lot of coding syntax that we had to memorize back then is no longer important, since we no longer need to code by hand as much. But even if, say, 30% of CS knowledge is obsolete, the remaining 70% — complemented with modern AI knowledge — is what makes really productive developers. (Even after punch cards became obsolete, a fundamental understanding of programming was very helpful for typing code into a keyboard.)

Without understanding how computers work, you can’t just “vibe code” your way to greatness. Fundamentals are still important, and for those who additionally understand AI, job opportunities are numerous!

[Original text: https://t.co/nqzPC6eUpR ]

[Andrew Ng @AndrewYNg]

My talk at YC Startup School on how to build AI startups. I share tips from @AI_Fund on how to use AI to build fast. Let me know what you think!

[Nagesh Pobbathi @npobbathi]

Excited about Qubits25 conference! Waiting for the livestream to get started!! @dwavequantum

[Nagesh Pobbathi @npobbathi]

@NFL Love it. Need that fire to be competitive.

[Andrej Karpathy @karpathy]

Huge congrats to @AIatMeta on the Llama 3.1 release!
Few notes:

Today, with the 405B model release, is the first time that a frontier-capability LLM is available to everyone to work with and build on. The model appears to be GPT-4 / Claude 3.5 Sonnet grade and the weights are open and permissively licensed, including commercial use, synthetic data generation, distillation and finetuning. This is an actual, open, frontier-capability LLM release from Meta. The release includes a lot more, e.g. including a 92-page PDF with a lot of detail about the model:
https://t.co/48e3YJ8Sg9

The philosophy underlying this release is in this longread from Zuck, well worth reading as it nicely covers all the major points and arguments in favor of the open AI ecosystem worldview:
"Open Source AI is the Path Forward"
https://t.co/AdmpadCRM0
I like to say that it is still very early days, that we are back in the ~1980s of computing all over again, that LLMs are a next major computing paradigm, and Meta is clearly positioning itself to be the open ecosystem leader of it.

- People will prompt and RAG the models.
- People will finetune the models.
- People will distill them into smaller expert models for narrow tasks and applications.
- People will study, benchmark, optimize.

Open ecosystems also self-organize in modular ways into products apps and services, where each party can contribute their own unique expertise. One example from this morning is @GroqInc , who built a new chip that inferences LLMs *really fast*. They've already integrated Llama 3.1 models and appear to be able to inference the 8B model ~instantly:
https://t.co/b2kdSsz0fH
And (I can't seem to try it due to server pressure) the 405B running on Groq is probably the highest capability, fastest LLM today (?).

Early model evaluations look good:
https://t.co/RLR5YBpmks https://t.co/ipT4x4wCvy
Pending still is the "vibe check", look out for that on X / r/LocalLlama over the next few days (hours?).

I expect the closed model players (which imo have a role in the ecosystem too) to give chase soon, and I'm looking forward to that.

There's a lot to like on the technical side too, w.r.t. multilingual, context lengths, function calling, multimodal, etc. I'll post about some of the technical notes a bit later, once I make it through all the 92 pages of the paper :)

[Nagesh Pobbathi @npobbathi]

@vkhosla Looks like a mark of a good VC to me. Making up your own mind based on your beliefs and not simply peer-pressured into following the trend.

[Nagesh Pobbathi @npobbathi]

@karpathy Cant wait! On a diff note, do you need any help?