Krishna Teja

[David George @DavidGeorge83]

https://t.co/QXVYrAv6H4

[Aaron Levie @levie]

The more enterprises I talk to about AI agent transformation, the more it’s clear that there is going to be a new type of role in most enterprises going forward. The job is to be the agent deployer and manager in teams. Here’s the rough JD:

This person will need to figure out what are the highest leverage set of workflows on a team are (either existing or new ones) where agents can actually drive significantly more value for the team and company.

In general, it’s going to be in areas where if you threw compute (in the form of agents) at a task you could either execute it 100X faster or do it 100X more times than before. Examples would be processing orders of magnitude more leads to hand them off to reps with extra customer signal, automating a contracting review and intake process, streamlining a client onboarding process to reduce as many straps as possible, setting up knowledge bases than the whole company taps into, and so on.

This person’s job is to figure out what the future state workflow needs to look like to drive this new form of automation, and how to connect up the various existing or new systems in such a way that this can be fulfilled. The gnarly part of the work is mapping structured and unstructured data flows, figuring out the ideal workflow, getting the agent the context it needs to do the work properly, figuring out where the human interfaces with the agent and at what steps, manages evals and reviews after any major model or data change, and runs and manages the agents on an ongoing basis tracking KPIs, and so on.

The person must be good at mapping the process and understanding where the value could be unlocked and be relatively technical, and has full autonomy to connect up business systems and drive automation. This means they’re comfortable with skills, MCP, CLIs, and so on, and the company believes it’s safe for them to do so. But also great operationally and at business.

It may be an existing person repositioned, or a totally net new person in the company. There will likely need to be one or more of these people on every team, so it’s not a centralized role per se. It may rile up into IT or an AI team, or live in the function and just have checkpoints with a central function.

This would also be a fantastic job for next gen hires who are leaning into AI, and are technical, to be able to go into. And for anyone concerned about engineers in the future, this will be an obvious area for these skills as well.

[Jon Erlichman @JonErlichman]

“If you get hung up on pleasure, you’re doomed. If you pursue joy, you will get everlasting happiness”

~ George Lucas

[Reid Wiseman @astro_reid]

There are no words.

[Viv 🪩 @battleangelviv]

That's home. That's us.

On it everyone you love, everyone you know, everyone you ever heard of, every human being who ever was, lived out their lives.

The aggregate of our joy and suffering,
thousands of confident religions,
ideologies and economic doctrines,
every hunter and forager,
every hero and coward,
every creator and destroyer of civilization,
every king and peasant,
every young couple in love,
every mother and father,
hopeful child,
inventor and explorer,
every teacher of morals,
every corrupt politician,
every "superstar," every "supreme leader,"
every saint and sinner in the history of our species lived there –

on a mote of dust suspended in a sunbeam.

[Lenny Rachitsky @lennysan]

OpenClaw: The complete guide

@ClaireVo has just put together the definitive guide to getting started with and mastering OpenClaw.

Building on our podcast episode, this post covers everything you need to know, from first install to multi-agent setups, plus the real costs and security gotchas most people skip over.

Whether you’re brand new to OpenClaw or already running one, Claire’s guide will level you up.

Find it here 🦞: https://t.co/x9h7gwH3cT

[Krishna Teja @krishn2121]

Inspired by @elonmusk, and made using @imagine . Cheers to future 🥂

[Krishna Teja @krishn2121]

@autocarindiamag Can you please explain why the price of fuel is not being reduced ?

[Trung Phan @TrungTPhan]

Traditional SaaS is dead.

I asked Claude to vibe code a Docusign replacement.

6 hours and 450k lines of code later it built a drag-and-drop PDF signer, initials stamps, and a very satisfying “signature complete” animation.

So, the first 45 contracts we used it for auto-selected governing law at random. Every agreement is void. We lost $473K in bookings and I have in-person courts dates in 18 countries over the next week.

But, man, was the dynamic completion checkmark graphic sick.

[Elon Musk @elonmusk]

The Meaning of Life https://t.co/L9FaXIwU50

[Amir Salim @mramiracle]

No book has had a big of an impact on my thinking. Every human on earth should read this, whether you’re technical or not. Thank you @naval for the recommendation, and thank you @DavidDeutschOxf for this masterpiece.

[Tim Urban @waitbutwhy]

It’s that day when I make you all look at this

[Aarno @TheGlobalMinima]

The OG PyTorch blog, explaining the mechanics and concepts of the internals of the framework. This basically allows you to explore the complete codebase, enabling better contributions. Definitely worth a read, then another !

Blog by - @ezyang

[Joseph Everett (WIL) @JEverettLearned]

Happiness is highly linked to how focused you are on what you're doing.

A wandering mind is an unhappy mind.

[Krishna Teja @krishn2121]

@BLKMDL3 @Tesla_AI @elonmusk why the price is $4.20 for all rides...🫣

[Elon Musk @elonmusk]

Making life multiplanetary

[Jim Fan @DrJimFan]

The Physical Turing Test: your house is a complete mess after a Sunday hackathon. On Monday night, you come home to an immaculate living room and a candlelight dinner. And you couldn't tell whether a human or a machine had been there. Deceptively simple, insanely hard.

It is the next North Star of AI. The dream that keeps me awake 12 am at the lab. The vision for the next computing platform that automates chunks of atoms instead of chunks of bits.

Thanks Sequoia for hosting me at AI Ascent! Below is my full talk on the first principles to solve general-purpose robotics: how we think about the data strategy and scaling laws. I assure you it will be 17 minutes you don't regret!

[Jeff Dean @JeffDean]

The recording of the talk I gave earlier this week at @ETH / @CSatETH is now available at:

https://t.co/elwOe8PVgO

Slides are at:
https://t.co/iQFW2a9U2r

Thanks for hosting me, @anaklimovic! And thanks to the many faculty and students I had great discussions with, as well.

[AKIRA THE DON @akirathedon]

YOU GOTTA EARN THEM 🥰

@naval

[𝙺𝚒𝚖𝚋𝚊𝚕 𝙼𝚞𝚜𝚔 🤠 @kimbal]

Booster starts in top right corner. Watch to the end. Sound on