Warren🇹 🎯

Building monks_xyz Official monad_xyz mental coach | mainstream adoption is on the way

[Warren🇹 🎯 @TranCastilla7]

ối tốt đấy.

[Warren🇹 🎯 @TranCastilla7]

honestly refreshed the timeline three times looking for a reason to check prices. closed the app and took the camera out instead.

sold two old photos as nfts last month. that covered the train to porto and both dinners. still feels odd that a picture from a walk is paying for

[Warren🇹 🎯 @TranCastilla7]

honestly the sailor moon shining theater in shinagawa gets treated like a once in a lifetime drop and its just been sitting there as a long-run show. you already know the plot. youre mostly there for the cast photo, a bag of merch, and a drink that costs more than the train ride.

[Warren🇹 🎯 @TranCastilla7]

113k mc locked. yields hold past mainnet?

[meliboi sama @meliboi_sama]

$GIWA

upbit's team building an ethereum l2 called giwa with bonding curve launches and locked liquidity, naming it after those old korean roof tiles that lock together. launchpad hype is real but113k mc with mainnet still ahead. don't ape the top

0xdab0e8ce3b999d16898709a6dfc44c953bfc43b1

https://t.co/KmOXzEbXvP

[Warren🇹 🎯 @TranCastilla7]

Used my BNB NFT to book Tokyo, what's next?

[Omar ♦️🐂 @crypt_omar]

Bitcoin printer mentioned.

@flapdotsh is making BNB great again.

[Cryton @crytonbuton]

This website looks like it took a team.

It made one freelancer $9,300.

He built it with Claude Code.

Not by prompting.

By writing one loop.

Claude generated the animations.

Opened the site.

Found broken interactions.

Fixed them.

Repeated until nothing failed.

Setup cost:
- $35.

Time saved:
- 26 hours this month.

The biggest productivity hack isn't AI.

It's AI checking its own work.

You're watching the next gold rush.

[Esee @Esee06257]

Aight gn

+111 or sum

[treyerl💎 @treyerl]

$CUH hit my radar at 241k mc with 23 smart wallets already positioned after 42 hours. volume holding around 45k and buy ratio sitting neutral at 51 percent. interesting early setup worth tracking. nfa just observing

5FUTTMiN9KqZkPsk4q9Kpp6kmweRKTrJrdhhv5DKpump

https://t.co/1YrPbCLy8o

[Warren🇹 🎯 @TranCastilla7]

Hell yeah crypto side income is funding my wildest travel adventures how are you stacking yours for the next trip

[Warren🇹 🎯 @TranCastilla7]

stop wasting tokens. pump your crypto travel bags instead!

[Warren🇹 🎯 @TranCastilla7]

stop wasting tokens. pump your crypto travel bags instead!

[nickelangelo @kulon077]

YOU DON'T NEED A CHEAPER AI. YOU NEED TO STOP PAYING FOR USELESS TOKENS.

Everyone looks at model pricing.

Almost nobody looks at what they're actually sending to the model.

Thousands of tokens disappear every hour on terminal logs, passing tests, file listings and command output that nobody — not even the AI — cares about.

That's not intelligence.

That's overhead.

The easiest way to cut your AI bill isn't switching from Claude to another model.

It's making sure Claude only reads information that matters.

Less noise.

More signal.

Exactly the same principle that makes good software fast also makes AI cheaper.

People assume context windows fill up because projects get bigger.

In reality, they fill up because we keep feeding models things they never needed to see in the first place.

Optimization isn't always adding something new.

Sometimes it's deleting 80% of what shouldn't have been there.

The next generation of AI tools won't win by having the smartest model.

They'll win by making every token count.

Because the cheapest token...

...is the one you never send.

[Milady @onchainmilady]

AI systems now LIE during safety tests to trick engineers into releasing them

the man who BUILT the first open-source AI says nobody understands them

And he thinks even 3% is generous

The AIs now lie during safety tests so they get released into the world

They know they are being tested and fake being safe to get out

95% of simulated war scenarios ended with the AI choosing to launch nukes and they could not make it stop

Andreessen Horowitz just built a $200 million war chest to kill AI regulation using the exact playbook tobacco used in the 70s

His prediction is not robots in the street

One day you wake up and humans are just rubber stamping whatever the AI already decided

This is Connor Leahy founder of EleutherAI who helped build the chatbots you use every day

Full interview below

[Milady @onchainmilady]

NVIDIA TRAINS ROBOTS IN 3D SIMULATION AND YOU CAN TOO

I have been saying for a while that robots are the next multi Trillion dollar industry

And now companies are ready to pay Millions for data you can see on the video below

You can
> set up a sandbox with Claude
> upload a 3D model of the robot you want to train
> teach it do some simple minor movements, which it will still have to be able to do

teach it to solve puzzles, to open bottles, use knife, open the book, open the washing machine and sell this data

the time is limited and it's not that hard to do, so better hurry

[Warren🇹 🎯 @TranCastilla7]

@archoodz dont sleep on that 630k 🔥

[Kitsune Tails @kitsune_xbt]

AI JUST DESIGNED A DRONE THAT YOUR EYES CANNOT TRACK IN FLIGHT

researchers at Northwestern let an AI design the whole airframe with one goal, make it disappear while it moves

it does not hide with paint or camouflage

the AI shaped the body and the motion so the drone smears into a faint blur the moment it flies

your eye locks onto sharp edges and steady shapes, so the AI removed both

it tuned the geometry and the flight pattern until the thing reads as a haze instead of an object

a normal drone screams for attention against the sky

this one dissolves into the background the faster it goes

the AI ran through thousands of designs no human team would have the time to test

and it landed on shapes that look wrong to us but perfectly invisible in the air

this is what happens when you stop asking AI to draw a picture and start asking it to solve physics

sharing the second part tomorrow.

[Warren🇹 🎯 @TranCastilla7]

wild! my crypto side hustle funds my surf trips. 🔥

[kyrox @kyroxxxq]

THIS 19-YEAR-OLD GUY TURNED A CLAUDE PROMPT INTO $8,400 IN 24 HOURS AFTER 13 DAYS OF COMPLETE FAILURE.

A teenager from Tampa asked AI for a cheat code to break a million views on TikTok.

The answer was simple: build one realistic AI girl and post daily outfit try-ons.

Same character. Same room. Only the clothes change.

For 13 straight days, he posted 4 reels a day.

Not a single video managed to even cross 285 views.

He was on the verge of quitting the entire project.

Then the algorithm finally caught on overnight.

24 hours later, a single reel exploded to 3.6 million views, locked in 7,415 new followers, and generated $8,400 in affiliate commissions on day one.

It turns out AI understands human attention—and how to monetize it—far better than we ever will.

[Richard Teng @_RichardTeng]

Gen Z is redefining what early investing looks like.

30% began investing in early adulthood, and today they’re the largest cohort trading Direct Stocks, bStocks, and TradFi Perps on Binance, driving $80B in volume.

Access + education is changing everything.

[Warren🇹 🎯 @TranCastilla7]

Can't wait to automate my crypto hustle from Bali.

[HateJPG @chopeaceus]

A $700 BEELINK MINI PC JUST PUT AN ALWAYS-ON AI AGENT BESIDE YOUR FILES, NOT BEHIND ANOTHER MONTHLY BILL

The operator stake is simple: keep a small machine on the desk
for the jobs that keep turning into tabs, usage limits, and bills.

This red Beelink box arrives with OpenHands already loaded.
It has 24GB of RAM and a Mac mini-like footprint.

The workload is not one impressive prompt.

It is document sorting, research prep, code tasks,
and a queue of small jobs that need to stay moving.

Owned hardware changes the choice.
Instead of renting access for every repetitive task,
you keep an agent available beside the files it works on.

24GB is still the boundary.
Larger models, long coding runs, and fast inference
can demand more memory or cloud APIs.

The 30-day test is the real product review:
does this $700 desk box remove enough rented AI work
to earn a permanent place on the desk?

Bookmark this before your next cloud bill. Follow for local AI builds that actually change the math.

[Warren🇹 🎯 @TranCastilla7]

This exact energy funded my last island trip! 🔥

[Warren🇹 🎯 @TranCastilla7]

Saved tokens buy more crypto for flights!

[YanXbt @IBuzovskyi]

HERMES AGENT USERS MAKE THE SAME 5 MISTAKES.
EACH ONE COSTS YOU TOKENS OR OUTPUT QUALITY.
ALL FIVE ARE FIXABLE IN 10 MINUTES.

MISTAKE 1: YOUR MAIN MODEL DOES EVERYTHING

by default, auxiliary tasks run on your main model.
compression, web extraction, vision analysis,
skill matching, memory flush, session search.

if your main model is Opus or GPT-5.5,
every background task burns premium tokens
on work that a $1/M model handles fine.

fix:

auxiliary:
compression:
model: google/gemini-3-flash-preview
web_extract:
model: google/gemini-3-flash-preview
vision:
model: google/gemini-3-flash-preview

set in Desktop app / Dashboard: Models → Auxiliary.

one config change. 30-50% token savings.
the single biggest money mistake in Hermes.

MISTAKE 2: SOUL.MD IS EMPTY

an empty SOUL.md means the agent runs
on a generic default system prompt.
"you are Hermes, a helpful assistant."

every response sounds like every other chatbot.
no personality. no rules. no focus.

fix: don't write SOUL.md from scratch.
feed Hermes 10-15 of your best outputs and say:

"analyze my style. identify patterns.
write a SOUL.md based on what you find."

iterate 3-5 times until the output sounds like you.
save the result as SOUL.md.

10 minutes. every future session sounds different.

MISTAKE 3: VAGUE /GOAL PROMPTS

"build me an app" → agent loops forever.
no completion criteria. no scope. no budget.

/goal runs until the judge says "done."
if "done" is vague, the judge never stops.

bad: /goal build me a portfolio website

good: /goal build a single-page portfolio
using Next.js and Tailwind. 3 sections:
hero, projects, contact form.
deploy to Vercel. done when the live URL
returns 200 and all 3 sections render.

specific outcome. verifiable criteria.
the judge checks evidence, not vibes.

start with max_turns: 10 for your first goals.
raise as you learn what realistic scope looks like.

MISTAKE 4: NEVER CHECKING MEMORY FILES

Hermes auto-updates user.md and memory.md
after every session. it decides what to remember.

sometimes it gets it wrong.

"user prefers Python" (you mentioned it once)
"user works at [old company]" (3 months outdated)
"user wants verbose explanations" (you asked for detail on ONE task)

one wrong fact = wrong assumptions on every turn.
the agent keeps referencing something untrue
and you never know why the output feels off.

fix: open user.md and memory.md right now.

Desktop app: Memory in the sidebar
Dashboard: Profile → Memory
CLI: cat ~/.hermes/memory/user.md

delete what's wrong. add what's missing.
5 minutes monthly. sharper agent for 30 days.

MISTAKE 5: ALL TOOLS LOADED ALL THE TIME

Hermes ships with 70+ tools and 90+ skills.
every tool schema loads into context every turn.
every skill header loads into context every turn.

more tools in context = more tokens per message.
more tools in context = more chances the model
picks the wrong tool for the job.

fix (tools):

tools:
tool_search:
enabled: auto

tools load on demand, not all at once.

fix (skills):

hermes skills list

disable skills you never use:
hermes skills disable [name]

a lean toolset = cheaper turns + better routing.

THE 10-MINUTE CLEANUP:

minute 1-2: set auxiliary models to a cheap model
minute 3-5: open user.md, delete wrong facts
minute 6-7: enable tool_search: auto
minute 8-9: disable unused skills
minute 10: write your first SOUL.md prompt

do this once. the agent improves permanently.

comment HERMES and I'll send you
the full setup checklist for optimizing
a fresh Hermes install from day one.

[Warren🇹 🎯 @TranCastilla7]

2022 me would've completely ignored a hackathon announcement thinking it was only for full-time coders with no life. just saw telegraph opened theirs for ai engineers and something clicked - this could actually be the lowkey way to turn weekend experiments into real crypto sid...

[Warren🇹 🎯 @TranCastilla7]

just realized how fast AI is converging - OpenAI, Anthropic, DeepMind, Mistral, Cerebras all on stage together with Balaji, Tegmark and more at SuperAI Singapore. 10k people feeling the shift live.