Lu

I say what I want, even nonsense. can’t care less about your opinion either. IT & car nut 🚗

[Lu @machh88]

Stop living scared.
Death? We all go someday.
Bankruptcy? You can earn it back.
Shame? Everyone forgets faster than you think.

Fear is the only prison.
Live loudly, live now, live your way.

#Mindset #Fearless #LifeOnYourTerms

[Noisy @noisyb0y1]

Boris Cherny creator of Claude Code:

"stop spending money and time on coding courses - start using Claude Code"

02:05 - how Anthropic engineers write prompts every day
08:34 - the file that turns Claude into a business
19:27 - $90k+/month with Claude + Fable 5

One 60-minute video can change what your time is worth to $90k a month - don't miss this

Save it and watch today - tomorrow start building

[0xMarioNawfal @RoundtableSpace]

Take 60 minutes from your entire weekend to watch this video

It will teach you everything you need to know about Codex + GPT-5.6 Sol

Seriously. Bookmark this and watch it.

[0xMarioNawfal @RoundtableSpace]

*THIS FREE 13-MINUTE GUIDE SHOWS THE EASIEST WAY TO MAKE MONEY WITH YOUTUBE AND CLAUDE CODE IN 2026.*

[Lu @machh88]

@jaysmith_ai Drive

[Jay @jaysmith_ai]

All Paid Courses (Free for First 4500 People).

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude, ChatGPT, Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking

(72 Hours only )

Like + RT + comment '' Drive ''

Must Follow me so I can DM you.

[Lu @machh88]

@undefinedKi This means my agent can run smoothly without reloading tokens?

[Lu @machh88]

@monokern Ive built a couple, however little practical, most consumer don’t have insane processors…. So this is likely to lag on most people’s screens

[Moon Dev @MoonDevOnYT]

stop trading on gut feeling and start automating the whales making millions on polymarket.

the old way of retail trading is dead and ai just handed you the cheat code to bypass the learning curve.

if you aren't using opus 4.7 to hunt high conviction wallet positions right now you are actively losing money to someone who is.

[0xMarioNawfal @RoundtableSpace]

HERMES CAN NOW RUN A SELF-MAINTAINING WEB APP FROM A $7 VPS

[Lu @machh88]

Future is here

[Orlixx @orlixx003]

LOCAL AI IS THE NEW HOME GYM AND PEOPLE ARE BUILDING DATACENTERS IN THEIR OFFICE

This is where it’s quietly heading. Not everyone wants their data sitting on someone else’s servers, so they’re bringing the models home.

In the clip: a stack of workstations wired into a cluster, and a full DeepSeek R1 model running locally in the terminal. No cloud. No API bill. No “your message has been logged.” Just a quantized open model thinking on hardware he owns.

Here’s why this matters more than it looks. Cloud AI means three things you don’t control: your data leaves your machine, the price changes whenever they want, and the model can be nerfed or removed overnight. Local AI flips all three. You own the weights, the cost is electricity, and nobody can take it away.

A year ago this needed a server room. Now it fits under a desk and runs models that compete with the big paid ones.

The catch: it’s still real money up front and real setup. This isn’t “one prompt” easy yet. But the direction is obvious. Owning your AI is going to feel like owning your house instead of renting.

So where do you land: is local AI worth the hardware and hassle, or is the cloud just easier and you don’t care who sees your data? Be honest.

[Orlixx @orlixx003]

LOCAL AI IS THE NEW HOME GYM AND PEOPLE ARE BUILDING DATACENTERS IN THEIR OFFICE

This is where it’s quietly heading. Not everyone wants their data sitting on someone else’s servers, so they’re bringing the models home.

In the clip: a stack of workstations wired into a cluster, and a full DeepSeek R1 model running locally in the terminal. No cloud. No API bill. No “your message has been logged.” Just a quantized open model thinking on hardware he owns.

Here’s why this matters more than it looks. Cloud AI means three things you don’t control: your data leaves your machine, the price changes whenever they want, and the model can be nerfed or removed overnight. Local AI flips all three. You own the weights, the cost is electricity, and nobody can take it away.

A year ago this needed a server room. Now it fits under a desk and runs models that compete with the big paid ones.

The catch: it’s still real money up front and real setup. This isn’t “one prompt” easy yet. But the direction is obvious. Owning your AI is going to feel like owning your house instead of renting.

So where do you land: is local AI worth the hardware and hassle, or is the cloud just easier and you don’t care who sees your data? Be honest.

[Lu @machh88]

Please look around and start realizing what your path is. Fight every obstacle in any way you can to reach your destination. Please do so!!!!!!

[Quant Science @quantscience_]

Automate your trading strategies in Python

How to build your first trading bot:

(a thread)

[NO1ennn @N01ennn]

A 21-YEAR-OLD FROM CHINA RUNS 300 AI AGENTS AT ONCE. THE PART THAT MATTERS ISN'T THE SPEED, IT'S THAT NONE OF THEM CAN LIE TO HIM

he opens the dashboard and shows the swarm live, 300 Kimi K2.6 agents firing in parallel, then Opus 4.8 checking every single output against its source. this is not just a faster swarm. it is a loop that refuses to stop while anything is still wrong

he pointed it at 100 EV-market companies. first pass: 12 failed. wrong revenue, dead citations, empty fields. second pass: 3 failed. third pass: zero

this is not another agent demo. it is a system that catches its own mistakes before he reads a single row

[shmidt @shmidtqq]

A guy got tired of renting intelligence from the cloud,
so he put a 120-billion-parameter model in his closet for $0 a month.

One mini PC. The Minisforum MS-S1 MAX.
128GB of unified memory, and a trick that hands 96GB of it straight to the GPU.

Here's how it breaks:

That 96GB is the whole game. Enough to run GPT-OSS-120B fully local,
and still keep the agent and dashboard on the same box.

120 billion parameters. 56.6 tokens a second.
A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local.

Then Hermes Agent goes on top, pointed at localhost.
No API key, because there's nothing to phone home to.
It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network.

The cloud version cost $10 to $20 a day,
keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month.

The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill

he paid every morning and became a machine he owns,
humming in a closet, working for free.

[Lu @machh88]

And here’s this little princess sipping @CocaCola 👌

[Lu @machh88]

@NoLimitGains lol

[Lu @machh88]

@MapleStax CBC

[Noisy @noisyb0y1]

Jane Street makes $700k/year in profit and trains their own LLM to do it.

Their engineer just revealed exactly how - in a free 76-minute talk.

I've seen $500 courses on AI in trading that don't cover what he shows in the first 5 minutes

full breakdown in the article below