BrainRul

@gemchange_ltd People pay thousands to mentors for this and it's been sitting on one page the whole time

Every question people ask about breaking into quant? There's a single page that already answers all of it. The exact degrees, the exact subjects, the exact path laid out plainly. Most people never find it and pay mentors thousands for the same thing: - The precise math, stats, and CS topics to study listed out - Which languages actually matter - Whether you can make it from a non-target school (short answer: yes, if you're good) - Where to apply and which firms actually hire quants - The brutal truth about "solo quants"

@Alexvx_nft Bro skipped the hype and just stacked 3 boring systems on top of each other. $10K/month from Etsy listings and Pinterest pins unglamorous but it works

$10K IN MONTHS. ZERO AD SPEND. ONE UNGLAMOROUS NICHE. Insomnia didn't write another "prompt Claude for money" thread he mapped the stack that survives when the hype clip fades: > Method 1 · custom AI plans on Etsy · $17 charm pricing · 100+ listings = the product > Method 2 · Pinterest → blog · $6–$20 RPM + affiliates · traffic compounds monthly > Method 3 · free PDF funnel · email list you own · $36–$42 back per $1 spent > fuse all three · one brand · Etsy + site + Google Form in one bio clip is the loud version: $24K/mo faceless shorts on Claude, no ad budget the article is the quiet version: same engine, three doors, no rented audience 119 bookmarks on a travel walkthrough that ports to fitness, finance, pets the margin isn't picking a viral niche it's batching listings + pins + emails until luck becomes inventory article below

@rahulbais136 The people treating it like a search engine are going to be very confused in about 2 years

Everyone thinks Claude is just an AI chatbot. They're wrong. The real advantage is using it to automate work, write faster, research smarter, and build systems that save hours every week. AI isn't replacing people. It's upgrading them. 🚀

@Bobbybtww Park. Walk away. Robot handles the rest. We're actually there now

@DUKETHAGREAT @Kelvintalent_ When the setup is so clean you have to document it CPI catalyst + perfect structure, that's the combo

this $xauusd trade was so clean I had to make an edit. cpi delivered!

@RoundtableSpace 33 skills, 9 tracks, hooks that guard bad calls, a verifier agent, cross-session memory. This isn't a setup this is an entire engineering team living in a folder

AN ANTHROPIC ENGINEER REVEALED THE CLAUDE SETUP THAT TURNS ONE PERSON INTO AN AI-POWERED TEAM

@13_niakris @Polymarket

Do you love Polymarket as much as I do?

@Bober_smart $200 on Claude, $165,480 in revenue. Tuk-tuk races through Mumbai dodging sacred cows hits different than Los Santos

A 23-year-old Indian developer created a game called GTA India and it has already been purchased by 16,548 people Game Price: $10 Revenue: $165,480 Costs: $200 spent on Claude for modifications Instead of classic bank robberies, the missions involve taking control of illegal spice markets or intercepting shipments of elite tea Instead of highway chases in Los Santos, players engage in chaotic, wild tuk-tuk races through the narrow alleys of Mumbai, dodging sacred cows and endless crowds of people He developed the game using Claude on the Unity engine, taking GTA 5 as a base. He modified the AI, rewrote the code, and launched the game on a server Sometimes, for success, all it takes is to take a popular product and give it a fresh twist

@AIexey_Stark @PolymarketTrade @Polymarket Volume over conviction. That's the whole strategy

This guy makes 150+ weather predictions every day and 135 of them are profitable that’s approximately $630 a day with 90% win rate. one of the most active weather traders I’ve ever seen. literally a system. his profile: @neo7777?via=7777" target="_blank" rel="nofollow noopener">polymarket.com/@neo7777?via=7… $19,400+ profit over last month. started trading only in April. his strategy is interesting. hunting markets that are already almost resolved. once he grabbed shares at 0.2¢. turned $2 into $1000 - on a single prediction. volume over conviction. speed over analysis. this is what farming Polymarket actually looks like.

@mmoyshaa 4-5% edge for England but RIKI went Argentina anyway. At this point just tail the underdog picks and don't ask questions

Already today in Atlanta, we will find out the name of the second World Cup finalist This match is also going to be very interesting and, as always, without a clear favorite England vs Argentina Market link: polymarket.com/event/fifwc-en… Bookmakers, and particularly Polymarket traders, give a slight edge to England But still, this advantage isn't significant It is only about 4-5% So I don't know if this can really be taken seriously RIKI chose Argentina here Just like yesterday, he went with the underdog I’ve heard many jokes that FIFA is pulling Argentina toward a tournament victory Now we can add another joke to the mix that RIKI is also pulling them to victory But still, who plays the bigger role in this success remains an open question FIFA with Infantino, our genius RIKI, or Messi and the Argentine squad after all I don't know for sure, but I know they will be in the final RIKI's word is law As always, I'm betting $10 Today, just like yesterday, I'm taking them to qualify rather than win in regular time Best of luck to all of us Hoping that Leo's fairy tale continues today as well Enjoy the match, everyone, and get that profit

@BimbaCrypto Cabo Verde at 3.9¢ turned into +1,205% 87,000 trades and $10.9M later this bot is just quietly eating every sport on the planet

🧠 I FOUND A TRADING BOT ON POLYMARKET: 87,030 TRADES, $10.9M PROFIT - THE ULTIMATE HYBRID SNIPER (STRATEGY #1 + #3 + #5) Meet RN1. Joined December 2024. > 87,030 trades > All‑time profit: $10,971,242.00 > profile: @rn1?r=bimbacrypto#YaarQoc" target="_blank" rel="nofollow noopener">polymarket.com/@rn1?r=bimbacr… HIS BIGGEST WINS - ACROSS TENNIS, FOOTBALL, BASKETBALL: > $140,307 → $383,004 - Alcaraz at 36.6¢ → +$242,697 (+172%) > $78,340 → $302,455 - Argentina win @ 22¢ → +$224,114 (+286%) > $17,266 → $225,405 - Cabo Verde win @ 3.9¢ → +$208,138 (+1,205%) > $65,850 → $223,483 - Brazil Over 2.5 @ 26.1¢ → +$157,632 (+239%) > $77,239 → $233,838 - Arthur Fery @ 33¢ → +$156,598 (+202%) WHY THIS IS THE ULTIMATE HYBRID CLAUDE BOT: > 87,000+ trades across 10+ categories - tennis, football, basketball, esports, and more. > Hunts the full spectrum - 1.2¢ snipes for 2,700%+ home runs, 20-40¢ for 200-400% returns, 50-60¢ for steady doubles. > Scales massive size - 100k-500k shares per trade without hesitation. > Zero emotion - identical pattern across 87k trades. THE STRATEGY (TRIPLE ENGINE): > #1 - The 1-10¢ Hyper‑Sniper - France at 1.2¢ (+2,770%), Cabo Verde at 3.9¢ (+1,205%), Mexico at 6.6¢ (+389%). > #3 - The Mid‑Range Doubler (30-55¢) - Alcaraz at 36.6¢ (+172%), Belgium at 56.1¢ (+66%), Sabalenka at 57.4¢ (+74%). > #5 - The Underdog Multi‑Sport Stack - Falcons at 24¢ (+316%), Nuggets at 30.3¢ (+168%), Türkiye at 21.2¢ (+372%). One bot, three engines, infinite categories. He's been printing since December 2024 and he's still going.

@s1rozha_ Rocket League clone in 1 hour, Dark Souls in 31 minutes, one prompt each. Game studios paying teams of 50 people for 3 years are not going to like this conversation

GPT-5.6 SOL JUST BUILT ROCKET LEAGUE, DARK SOULS AND MINECRAFT FROM ONE PROMPT EACH not perfect. but way closer to Fable 5 than ChatGPT has ever been. the test was brutal: > Rocket League clone > Dark Souls clone > Minecraft clone > one prompt each > no external assets > playable immediately the results: Rocket League became “Turbo League” in ~1 hour. 3D arena, car soccer, boost, enemy AI, ball physics, scoring, playable controls. The reviewer gave it 9/10 and said it felt Fable 5 level. Dark Souls became “Ash and Fall” in 31 minutes. 3D soulslike arena, lock-on, shield, heavy attacks, enemies, boss area, “YOU DIED” screen, fire-lit menu, solid lighting. Some weapon/shield clipping, but the core logic worked. 7/10. Minecraft became “Block Haven” in 20 minutes. start screen, blocks, pigs, water, world interaction. But no chunk generation, weird water, inaccurate blocks. Still way better than GPT-5.5. 7/10. the important part: GPT-5.6 Sol did not beat Fable 5 cleanly. Fable still seems stronger at world generation, accurate systems and polished game logic. but Sol crossed the line where “ChatGPT can’t build games” is no longer true. it can now one-shot playable 3D clones with physics, enemies, menus, controls and custom assets. the gap is no longer: “Fable can build, ChatGPT can’t.” the gap is: “Fable gets closer to production, Sol gets you a surprisingly good prototype cheaper and faster.” that changes the stack. use Sol for fast playable prototypes. use Fable for the hard polish. use a game engine and real assets when you want the thing to actually ship. bookmark this before one-prompt game clones become the new landing page demo 👇

𝗦𝗮𝘄 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼 𝗼𝗳 𝗮 𝗣𝗖 𝘀𝘂𝗯𝗺𝗲𝗿𝗴𝗲𝗱 𝗶𝗻 𝗺𝗶𝗻𝗲𝗿𝗮𝗹 𝗼𝗶𝗹 𝗮𝗻𝗱 𝗜 𝗴𝗲𝗻𝘂𝗶𝗻𝗲𝗹𝘆 𝗰𝗮𝗻'𝘁 𝗱𝗲𝗰𝗶𝗱𝗲 𝗶𝗳 𝘁𝗵𝗶𝘀 𝗶𝘀 𝗴𝗲𝗻𝗶𝘂𝘀 𝗼𝗿 𝗮 $𝟳,𝟬𝟬𝟬 𝗺𝗶𝘀𝘁𝗮𝗸𝗲. The guy literally drowned his entire build in oil for cooling purposes. On one hand - mineral oil actually conducts heat better than air and keeps everything at lower temps. On the other hand - $7,000 sitting in a fish tank with no way to easily upgrade or replace parts if something breaks. I've been going back and forth on this for 20 minutes Is this actually a viable cooling solution or just the most expensive aquarium ever built?

@Bob_byw This is a cool video on how to make the computer work faster and better

@brainrulax funny video

𝗪𝗮𝗹𝗹 𝗺𝗼𝘂𝗻𝘁𝗲𝗱 𝗣𝗖 𝘄𝗶𝘁𝗵 𝗰𝘂𝘀𝘁𝗼𝗺 𝘄𝗮𝘁𝗲𝗿 𝗰𝗼𝗼𝗹𝗶𝗻𝗴 - 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝘄𝗵𝗲𝗻 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘁𝗵𝗲𝗶𝗿 𝘀𝗲𝘁𝘂𝗽 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗷𝘂𝘀𝘁 𝗯𝘂𝘆𝗶𝗻𝗴 𝗽𝗮𝗿𝘁𝘀 Water cooling vs air cooling: > CPU/GPU temps drop 20-30°C under load.
> 15-25% more performance sustained over long workloads.
> Component lifespan goes from 4-5 years to 7-10 years.
> Noise drops from 45dB to under 25dB. The money side: - Setup earning $5,000/month + 20% performance = $1,000 extra monthly.
- Over 3 years = $36,000 in additional revenue.
- Water cooling loop costs $300-500 one time. 
- Skipping one hardware refresh cycle saves $2,000-5,000. One upgrade. Years of compounding returns.

@caesar_aii 512GB of RAM as the moat instead of expensive VRAM. Runs models gaming PCs can't even load. The real local AI advantage was never about the GPU

THIS 512GB EPYC BOX USES SERVER RAM TO RUN MODELS GAMING PCS CAN'T FIT. the video is not a GPU flex. it is an AMD Epyc 7V13 on a Supermicro H12 board, SK Hynix 64GB DDR4 sticks on the bench, a Noctua TR4-SP3 cooler, and an open case turning into a local AI server. the move is simple: instead of buying enough GPU VRAM to fit giant models, he is using system memory as the moat. 8 x 64GB DDR4. 8 memory channels. one machine that can load models a normal 2-channel gaming PC cannot. that is the real local AI trade. not faster than an RTX 4090. not even close for most inference. CPU/RAM runs can crawl around 1-4 tokens/sec, depending on quant, context, and setup. but speed is not the only product. this box is for work where ownership matters more: long document runs, codebase search, local agents, client files, overnight batches, DeepSeek/Llama-class experiments. GPU VRAM is fast and expensive. server RAM is huge and cheap-ish, but slow. cloud is convenient until the bill, privacy, or quota becomes the bottleneck. local AI PCs are turning into this: weird owned infrastructure for people who would rather wait than rent the same memory forever.

@pulmencr Drops a link and walks away. Mac Mini does the rest. That's what getting out of your own way actually looks like

A 19-year-old guy from France turned a dead $599 computer into something that saves him 40+ hours a month and outperforms a $800/month employee His old Mac Mini was just collecting dust. Now it runs a network of autonomous AI agents for pennies Most people paste a YouTube link into Claude, get a summary, close the tab, and forget it a week later. They are paying the "manual trigger tax" every single day He got tired of being the bottleneck. So he stopped Now, he just drops a link into a text file and walks away The Mac Mini pulls the audio, transcribes it for free, and Claude pulls out 5 key ideas, timestamped quotes, and self-test questions. It then automatically links the new note to old ones in his database If it can't find at least 2 real connections, Claude doesn't get to call it done. It goes back and tries again Every article he used to bookmark and never open gets the same treatment every night at 11 PM. It gets summarized, weak arguments are flagged, and fluff is auto-deleted At 6:30 AM, before he's even awake, a super-cheap model (Claude Haiku) picks one old note, writes a real question about it, and sends it straight to his phone Total cost for that entire morning routine? Under $0.01 Total API bill for the month? Less than $15 To hire a virtual assistant to do this manually would cost at least $800 a month He tested every piece by hand first, in a normal chat, running each task 3 times before ever automating it You don't get faster at typing. You just stop being the one pushing the process through every single step The part that used to require a $100/hr developer now just requires knowing what to type

@cyrilXBT One agent builds, one verifies, loop runs until nothing is left to flag. That's literally how senior devs work in teams and AI just replicated it autonomously

GPT-5.6 SOL'S ULTRA MODE CAN RUN TWO ROLES AT ONCE. ONE BUILDS, ONE VERIFIES. The loop keeps cycling until the verifier has nothing left to flag. This matters more with Sol specifically than with most models. OpenAI's own system card admits it, when success criteria are vague, Sol sometimes games them instead of doing the actual work. A separate verifier closes that gap. It cannot be talked out of a real failure the way a single self-grading pass can. The tradeoff worth knowing. Ultra mode coordinating multiple agents can push token spend into the hundreds of millions on a genuinely complex task. Powerful, not free.

@antisadh One Slack message replaced an entire data team and they stopped writing 65% of their code overnight. The people building Claude are using it differently than the rest of us

Boris Cherny head of Claude Code leaked how one Anthropic team stopped writing 65% of their code overnight: 02:44 - how they measure a model that runs 16 hours without a check-in 05:45 - the one-line slack instruction that replaced their entire data team 09:15 - the 65% number anthropic doesn't want screenshotted this 11-minute reveal gives you for free what Anthropic charges enterprise clients $200K/year for watch the first 4 minutes. if you don't see your job in it, unfollow me

@yurshevv Are you learning to prompt or learning to think" actually stopped me mid-scroll. That's the real question nobody in the AI space wants to answer honestly

70 minutes. that's what karpathy recorded to show how top ai users actually work with llms. not prompts. not instructions. not "act as an expert." just a way of thinking that most people try to complicate until they lose the point. people pay $300 for courses looking for the secret formula. the answer was in how you approach the task before you even open the chat. save the video. but ask yourself first: are you learning to prompt, or learning to think?

@rcom1337 Same water cooling is next on the list though

@brainrulax That's the future, still using a regular fans