Alen

life is a game| find the meta & be open-minded | yapping on @impossiblefi | opinions re my own

[Kyle @zeroxkyle]

this is the most valuable lecture series on the planet rn, been thoroughly enjoying it. thank you @apoorv03 for making this open to enjoy.

link below

[Andrew Yeung @andruyeung]

Stripe just created a role that didn't exist 12 months ago (and they're paying multiple six figures for it)

It's called the Forward Deployed AI Accelerator.

They are hiring AI-native individuals to work directly with their marketing teams to fundamentally change how they work.

Each person will be assigned to a cohort of 20 marketers. Their job is to build custom AI tools and agents and coach each marketer until they are self-sufficient.

Basically, work with marketers until they automate their jobs.

Stripe's marketing org is betting that AI should not be an occasional tool but the default mode for all work.

But they also understand that most employees won't upskill themselves. They'll need someone who is embedded within their teams to build alongside them.

If you are AI-pilled, this is probably the role for you.

And this also gives a clear picture of where every organization within a company is heading.

[Alen @HiimAlen]

@creatine_cycle no way no token spend to keep that chatbot running. which model re u using?

[Jay Yu 🐟 @0xfishylosopher]

I've been thinking + writing about agentic commerce for some time now. This article is a remix of several things that have struck me around two topics:

1. Why crypto (and not cards) will be the bank for AI agents, assuming that both methods will be technically viable
2. How should we build crypto as the "bank" for AI agents - not just as a wallet, but also the identity, liquidity, and security rails around agents transacting with the online economy.

Enjoy.

[Rohan Paul @rohanpaul_ai]

Powerful new Harvard Business Review study.

"AI does not reduce work. It intensifies it. "

A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier.

Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred.

That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete.

Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away.

Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load.

Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.

[Alex Finn @AlexFinn]

If you do not set up your OpenClaw correctly, it's going to SUCK

It will do tasks poorly, not remember anything, and not be proactive

Here are the 5 things you need to do right away to turn your OpenClaw into AGI (demos of each in the video below)

1. Brain dump: your OpenClaw won't know how to accomplish your goals for you, if it doesn't know your goals

If you haven't yet, you want to tell your OpenClaw:
• Your interests
• Your career
• Your goals
• Your ambitions
• Anything personal

Do this, and your Claw will have the context to be SUPER powerful for you

2. Connect your tools

Your OpenClaw can basically use almost every tool you use on your computer

You just need to ask it to

Ask your OpenClaw to connect to any tools you use daily, and it will just figure out how to do it. Then create a skill for it

I have it check my Things 3 todo list every morning and complete any tasks it can

3. Build a Mission Control

Your mission control is just a hub for your OpenClaw to build custom tooling

Ask your OpenClaw to build a Mission Control using NextJS

Then anytime your bot doesn't have the tool available to do a task, have it build it in your Mission Control

4. Mission Statement

Your OpenClaw needs a mission statement

This is the one sentence statement that will be the north star for every single thing it does

It should be based on your goals and ambitions.

My Claw's mission statement is "“An autonomous organization of AI agents that does work for me and produces value 24/7”

Make your own and have your Claw put it at the top of your Mission Control. Now every task your Claw does will take you closer to this statement

5. Make it proactive

Your OpenClaw won't be proactive unless you set those expectations with it

Tell your Claw you want it to do a task every night at 2am that brings you one step closer to your mission statement

Now every morning you'll wake up and it will do something that surprises you and helps bring you closer to your goals

Do these 5 things and your OpenClaw will be 10000x more powerful

[Naval @naval]

New podcast on AI (full episode). Links below.

A Motorcycle for the Mind

0:00 If you want to learn, do

2:13 Vibe coding is the new product management

6:49 Training models is the new coding

10:13 Is traditional software engineering dead?

13:07 There is no demand for average

14:12 The hottest new programming language is English

18:36 AI is adapting to us faster than we are adapting to it

22:56 No entrepreneur is worried about AI taking their job

26:46 The goal is not to have a job

29:49 AIs are not alive

32:55 AI fails the only true test of intelligence

36:49 Early adopters of AI have an enormous edge

39:37 AI meets you exactly where you are

43:02 Always leverage the best intelligence

44:37 If you can't define it, you can't program it

49:37 The solution to AI anxiety is action

[intern @intern]

https://t.co/NJttCMYjRP

[Mayank Vora @aiwithmayank]

OpenAI and Anthropic engineers leaked a prompting technique that separates beginners from experts.

It's called "Socratic prompting" and it's insanely simple.

Instead of telling the AI what to do, you ask it questions.

My output quality: 6.2/10 → 9.1/10

Here's how it works:

[Andrew Kang @Rewkang]

https://t.co/YU33t4yLWN

[Nozz @NoahEpstein_]

https://t.co/eVeKGDpgMS

[Rian Doris @RianSweetDoris]

https://t.co/bvrjupE93Q

[Tim Denning @Tim_Denning]

https://t.co/1dPXULCPvg

[Allium @AlliumLabs]

[BREAKING] AI agents can now read the blockchain.

For the next 72 hours, we’re opening public access so you can try it yourself.

Agent-ready, real-time onchain data accross 150+ chains.

[Kyle @zeroxkyle]

it is becoming increasingly clear that the moat is evolving beyond models. right now, the amount of time i spend on CC has exponential returns as it iteratively improves on itself.

moving to a different model doesn't just lose me logical / reasoning capabilities, but the iterative self-improvement process that I've had my CC go through. in a way, it's akin to just raising your own character with your own stats - and you're being asked to port over to a different world, starting from 0 stats

[qw @QwQiao]

on the “software is dead” narrative:

my intuition is that ai makes strong software companies stronger and weak software companies weaker. this is because the moat of strong software companies was never software, but rather distribution, proprietary data, workflow integration, enterprise lockin, network effects, trust and compliance, etc. whereas the moat of weak software companies was just… software.

example of strong companies: msft

[DCinvestor @DCinvestor]

vibe coders should understand something:

i love how easy AI is making it for people to build their own apps, push them into production, and start businesses

but let's be clear: the future is not in humans building consumer-facing apps

the future is everything becomes an API which your personal AI agent can interact with in ways which suit your specific needs and lifestyle (down to the very specific needs of you as an individual)

the fact that you can use the machines to build your apps is just an intermediate step to the machines creating the apps for you, LIVE, as you need them

so the value of you learning how to build apps now really lies in you learning how to create a business model behind that app- not in creating the piece of software that is the app itself

sure, there will be templates for how you can interact with those apps/APIs, but your personal AI will pick one and tailor it even further for you. and a lot of the time, you won't even need to interact with a UI beyond speaking with your AI assistant

let me give you an example: would you rather use an app like Uber or Uber Eats, or would you rather just ask your AI assistant to get you a ride somewhere or to show you menus for the type of food you might be interested in and you pick one? the value in apps like that is not in the app installed on your phone. it's in the backend business model which connects the customer with providers. and personal AI assistants actually open the door to you being able to seamlessly use multiple business APIs without worrying in the slightest about which app or intermediate provider they come from

there is a decent chance apps as you know them will be mostly dead in ~5-10 years

and yes, there are some apps which will still require deep optimization and that is where the hardcore coders may still be needed. but machines will get better at that, and if you take one look at the AAA gaming landscape, you should understand that hyper-optimized code isn't as valuable as it used to be

but what will be valuable is owning the APIs with the most use and liquidity. and yes, a lot of those will use public blockchains

things are going to accelerate and get very weird very quickly from here

[Alen @HiimAlen]

@chrisling_dev @AnthropicAI @ventuals really?

[lefty @leftcurvemaxing]

https://t.co/DxPQZMiVcX

[Naval @naval]

Vibe coding is the new product management.

Training and tuning models is the new coding.