David Hursey

Get in the arena!

[Russian Market @runews]

Zelensky greets EU leaders

[Dinesh D'Souza @DineshDSouza]

Who says the American dream is out of reach?

[MAX @MAXdeg0]

WHOEVER LEAKED THIS HAS ZERO FEAR

SOMEONE CONNECTED 350 GROK BOTS TO RUN A ONE-PERSON TRADING DESK.

I thought it was just another AI experiment until I saw the setup.

One bot scans the market.

Another hunts for setups.

Another analyzes news and sentiment.

Another tracks whales and on-chain activity.

Another manages risk and exposure.

Then a HEAD OF DESK Grok coordinates everything and sends the owner only the trades that actually need approval.

No team of analysts. No staring at charts all day.

Just 350 Grok bots passing information between each other 24/7.

The craziest part?

The owner said he barely touches the system anymore.

FULL GUILD ON HOW TO BUILD IT BELOW

[WWE @WWE]

THIS YOUR WARNING SHOT 👏

[Noisy @noisyb0y1]

He has been studying AI for 50 years and in 5 years at Anthropic made $10M - and came to Stanford to share how:

00:14 - the main AI secret that took 50 years of research
18:34 - how one idea brought $10M from Anthropic
49:47 - how to turn this video into $100k a month

after watching I realized he spent 50 years finding this AI secret - and I learned it in 60 minutes.

Save & watch - the article below shows how to set up the right workflow system and reach $100k a month

[Sprytix @Sprytixl]

ANTHROPIC LEAKED A FILE THAT BUILDS A BUSINESS IN 60 MINUTES - IT HUNTS CUSTOMERS ON ITS OWN AND BRINGS $50K IN THE FIRST MONTH

in month one the system pulls 100+ customers, in month two the profit number goes past $100K

root → offer → surface → hunt → clock → back into the root

the first 12 minutes you write 3 lines no model can write for you: who buys, what we sell, at what price.

get those wrong and the next 48 minutes automate the wrong business perfectly.

the offer is one page, not a deck: the pain, the objection, the price.

the page, the payment link and the replies get built by 3 files in parallel in 6 minutes.

the first chain listens where your buyer complains - hundreds of signals scored cheaply, a handful get a real letter.

a personal letter to someone who was never buying is a paid guess.

the second chain publishes 3 variants a day - one post is a guess, three a day for a month is a distribution.

the third chain is the cheapest: every closed deal describes the next one, and tomorrow the hunt runs a narrower list.

in the morning you read 3 numbers: conversations, replies, paid - if the first grows and the third doesn't, the offer is the problem.

and the honest part: 60 minutes buys distribution attempts, not demand - the machine runs whether or not anyone wants it.

save this and paste it into Claude Code - an hour builds the machine, the market decides the number ↓

[Marjorie Taylor Greene 🇺🇸 @mtgreenee]

We might actually be stepping into steps 15, 16, and 17 as well.
Not good!

[Argona @Argona0x]

whoever leaked this has bigger balls than sense

SpaceXAI shipped five hireable workers for $200 a month, then wrote the catch into its own Grok Bot documentation and left the page up: all five run on one computer, so one sign-in hands the browser session, the files and the command-line credentials to every one of them

the NSA, CISA and the cyber agencies of the UK, Canada, Australia and New Zealand had published the opposite instruction 103 days earlier: no broad or unrestricted access, low-risk and non-sensitive work only

i ran four of mine on one account for a week, counting what each could reach: eleven signed-in apps, one browser profile, and deleting a bot left all of it standing

Grok Bot is worth hiring five times over, and you can draw its blast radius before the second one exists:

- sign in for the bot that needs the site, then open the others and see what they reach: that session is theirs the moment it exists
- give each bot its own account on the app, since the docs tell you in writing to stop using separate bots as a security boundary
- put the stop line in the description, as an approval controls the proposed action and leaves whatever already ran where it landed
- cap the spend outside the product, because there is no bot-specific spend cap yet and the audit view of what they did is still coming
- keep the money and the customer replies in your own hands, and let the other four start from scratch each morning on work that cannot bite

one sign-in is also why this pays: five names finish inside your real tools instead of handing you drafts to paste

my take, and it is the uncomfortable one: your real limit on Grok Bot is how many logins you will put on one machine, and the hiring was always the easy half

bookmark this, the five descriptions that let bots hand work to each other and the one folder that survives an update are written out in the article ↓

[Krishna Agrawal @Krishnasagrawal]

Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work.

The progression is simple:

10% → LLM
30% → Prompt
50% → Agent
70% → Loop
100% → Graph

The key takeaway:

AI engineering isn’t just about writing better prompts.

It’s about building systems around models — giving them context, memory, tools, feedback loops, and data flows.

“Delete everything, keep Graph.”

Definitely worth watching if you’re building with AI agents.

Watch → Bookmark →

[Anatoli Kopadze @AnatoliKopadze]

Head of Claude Code:

"I'm not prompting my agents anymore, I'm building graphs and loops so they can build the agents for me."

In 10 minutes he shows exactly where agentic engineering is going and how not to get left behind.

Definitely something you cannot afford to skip.

Watch it, then read the step-by-step guide below on how to build a system that improves itself.

[Alex Jones @RealAlexJones]

Russia, China and Iran are shaking in their boots when they watch this..

[mentalium @mentalium_]

Jane street pays $600,000 for the skill of selling anything to anyone, and now this 21 minute Tony Robbins masterclass filmed 30 years ago in his castle gives it to you completely free.

This is the uncut 1992 session. Just raw persuasion from the master who coached presidents and billionaires.

You will learn how to find anyone's buying state and anchor your offer to that feeling. No scripts. No tricks. Just psychology that works on everyone.

This rare tape disappears regularly. Save it while you can ⭣

[Hanako @hanakoxbt]

ANTHROPIC LEAKED A 6-AGENT SETUP THAT TURNS ONE PROMPT INTO A FINISHED PR

your name shows up in this process exactly once - at the very end, for 5 minutes.

spec → planner → 3 builders → critic → scribe → PR → back into the spec

the planner runs once and the whole line inherits its decisions - a bad plan executed by five perfect agents is still a bad result.

3 lanes build in parallel - and they only work because the planner cut the steps so none of them reads another's output.

tests loop until green and red goes back to the coder - the critic never sees a broken build.

the critic rejects to the plan, not the code - tests ask does it run, the critic asks should it exist.

the scribe writes the PR from the trace, not from memory - cut this seat and you get 8 PRs nobody can tell apart.

the back edge into the spec is the whole trick - today's failures become tomorrow's constraints without you typing them.

one human step in the whole thing: approve or send back - 5 minutes instead of 5 hours.

save this and read the full graph engineering course below ↓

[reira @reiraxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

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

People pay $15k for bootcamps that teach half of this

You probably don't have 2 hours right now

Don't let this get lost in your feed

Watch it, then read the guide below and build your first loop

[Argona @Argona0x]

whoever leaked this has bigger balls than sense

Google Research and MIT ran the same agent jobs 260 different ways for Nature last month: they held the prompts, the tools and the compute budget identical and moved nothing but the wiring between the agents, and the same work swung from 70% worse than a single agent to 80.8% better, averaging out at 0.0%

i ran my own single agent against the task list first and it cleared 6 of 10 alone, already past the line where a crew starts subtracting

this is Graph Engineering, the layer that decides whether a crew is worth 80% more or 70% less, and it installs into the agent you already pay for:

- score your solo agent on the real task first: above roughly 45% success that study predicts zero to negative returns from any crew you put around it
- under that line, put one supervisor over the fan out: crews with no correction step amplified their own errors to 17.2x the single agent rate, supervised aggregation held it to 4.4x
- give every worker one output and let none of them read a peer's draft, so a wrong step reaches the supervisor instead of four other agents
- run the comparison again after every model upgrade, because a better model raises your baseline and a higher baseline is what makes a crew stop paying
- keep the single agent alive as the control, the only number that says the wiring is earning its calls

turns out the shape does not travel: the biggest win came off a finance task under one supervisor and the worst collapse off a planning task with independent agents

my position, and it is the arguable one: a crew is a bet on your own diagram, and the model you pick moves that bet less than one arrow does

bookmark this, the three moves that draw those arrows before you pay for one extra call are in the post below ↓

[CyrilXBT @cyrilXBT]

this is absolutely unreal

jack dorsey (twitter co-founder) just shipped a totally free github repo sitting at 26.2k stars that basically hands you an ai-agent operating system for running a business

here’s the setup:

1. clone the repo
2. host the server yourself: channels, search, git, automations, it all runs there
3. drop your agent into a channel like it’s another teammate, lock down its permissions, and let the crew guide it in real time

save this and bookmark it, seriously

[Divyanshi @Divyyanshishrma]

My friend makes $1.2 million a year as an Anthropic engineer.

I asked him how he learned prompting so well.

He sent me a video that was never supposed to get out. Their core team's prompting playbook.

You won’t find anything better about prompting than this video.

I watched it last night.

Halfway through, I realized I've been using Claude completely wrong for two years.

Watch it and save!

[Anish Jaitwar @AnishJaitwar]

Sam Altman (CEO of OpenAI):

"You no longer need to write prompts."

In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.

It's a talk he gave to Stanford students. A friend sent me the recording last night.

After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.

Watch it in full and then read the guide I leave below on how to create a system that prompts itself.

Follow @AnishJaitwar for more

[Entrepreneur @Entrepreneur]

So start now.