@Banff_eth

tracking what the crowd misprices

Joined July 2026
Banff retweeted
anthropic and openai put the real manuals for claude and chatgpt on github, for free most people who use them every day have never opened one. 10 repos. 783k stars between them. prompting courses, agent code, the coding agents themselves, and an openai model that runs on a 16gb laptop. here's what's inside: learn -> how the labs prompt their own models prompt-eng-interactive-tutorial · anthropic's 9-chapter prompting course, with exercises and an answer key github.com/anthropics/prompt… claude-cookbooks · copy-paste recipes: rag, sub-agents, pdfs, vision, prompt caching github.com/anthropics/claude… openai-cookbook · openai's own examples and guides for its api github.com/openai/openai-coo… run -> the agents themselves claude-code · claude in your terminal. reads your codebase and handles the routine work github.com/anthropics/claude… codex · openai's coding agent, runs locally on your computer github.com/openai/codex gpt-oss · openai's open-weight models. the 20b one runs in 16gb of memory github.com/openai/gpt-oss build -> your own agents openai-agents-python · agents, handoffs, guardrails, voice. works with 100+ models, not just openai's github.com/openai/openai-age… shared -> the plumbing both labs use skills · the folders claude loads to make word, excel, powerpoint and pdf files github.com/anthropics/skills mcp servers · the "usb-c port" that plugs ai into your files, apps and tools github.com/modelcontextproto… agents.md · one file that tells any coding agent how your project works github.com/openai/agents.md and that's the funny part: these two fight over everything. except the plumbing. skills started at anthropic. now chatgpt, codex, cursor, gemini cli and copilot load them. mcp started at anthropic. now it lives at the linux foundation, in a home openai co-founded. agents.md came from openai. 60k+ projects use it. and the skills repo has 177.5k stars. claude code itself has 148.8k. the manual got bigger than the product. stop saving prompt screenshots. read what the labs wrote. save this for the weekend.
4
1
1
15
670
anthropic and openai put the real manuals for claude and chatgpt on github, for free most people who use them every day have never opened one. 10 repos. 783k stars between them. prompting courses, agent code, the coding agents themselves, and an openai model that runs on a 16gb laptop. here's what's inside: learn -> how the labs prompt their own models prompt-eng-interactive-tutorial · anthropic's 9-chapter prompting course, with exercises and an answer key github.com/anthropics/prompt… claude-cookbooks · copy-paste recipes: rag, sub-agents, pdfs, vision, prompt caching github.com/anthropics/claude… openai-cookbook · openai's own examples and guides for its api github.com/openai/openai-coo… run -> the agents themselves claude-code · claude in your terminal. reads your codebase and handles the routine work github.com/anthropics/claude… codex · openai's coding agent, runs locally on your computer github.com/openai/codex gpt-oss · openai's open-weight models. the 20b one runs in 16gb of memory github.com/openai/gpt-oss build -> your own agents openai-agents-python · agents, handoffs, guardrails, voice. works with 100+ models, not just openai's github.com/openai/openai-age… shared -> the plumbing both labs use skills · the folders claude loads to make word, excel, powerpoint and pdf files github.com/anthropics/skills mcp servers · the "usb-c port" that plugs ai into your files, apps and tools github.com/modelcontextproto… agents.md · one file that tells any coding agent how your project works github.com/openai/agents.md and that's the funny part: these two fight over everything. except the plumbing. skills started at anthropic. now chatgpt, codex, cursor, gemini cli and copilot load them. mcp started at anthropic. now it lives at the linux foundation, in a home openai co-founded. agents.md came from openai. 60k+ projects use it. and the skills repo has 177.5k stars. claude code itself has 148.8k. the manual got bigger than the product. stop saving prompt screenshots. read what the labs wrote. save this for the weekend.
4
1
1
15
670
this is pure f*cking treasure 10 GitHub repos with 525.6k combined stars that turn your laptop into a sci-fi lab sharper photos. your own google photos. science papers in your language. a chatgpt that runs offline. your own search engine. a memory of everything you've seen. images, video, 3D. and your own AI trained from scratch 01 Upscayl · blurry photo -> sharp, free desktop app ▸ github.com/upscayl/upscayl 02 Immich · your own Google Photos: finds faces, search by what's in the photo ▸ github.com/immich-app/immich 03 PDFMathTranslate · translate science papers, formulas and layout stay put ▸ github.com/PDFMathTranslate/… 04 Jan · a ChatGPT alternative that can run 100% offline ▸ github.com/janhq/jan 05 Vane (ex-Perplexica) · a private answer engine you run yourself ▸ github.com/ItzCrazyKns/Vane 06 screenpipe · records your screen locally so AI can search everything you've seen ▸ github.com/screenpipe/screen… 07 ComfyUI · make images and video on your own machine ▸ github.com/Comfy-Org/ComfyUI 08 Wan2.2 · text -> 720p video on one gaming GPU ▸ github.com/Wan-Video/Wan2.2 09 Hunyuan3D-2 · one photo -> a textured 3D model ▸ github.com/Tencent-Hunyuan/H… 10 nanochat · train your own ChatGPT from scratch for about $100 ▸ github.com/karpathy/nanochat the loop: fix what you have -> find what you saved -> read what you couldn't -> ask without the cloud -> remember everything -> make what doesn't exist -> build the AI itself all 10 are free and open source save this, then build your own lab
5
2
29
1,920
Banff retweeted
WTF, I JUST REPLACED A $500K DEV AGENCY WITH A $200/MO GROK BOT SETUP Here is what my studio looks like in the cloud. Chief of Staff takes the brief and routes the work: > ARCHITECT designs the database and API from my prompts > FRONTEND (UI) builds the components and pixel-perfect screens > FRONTEND (STATE) wires the logic and connects the endpoints > BACKEND (CORE) writes the business logic and handles routing > BACKEND (DATA) manages the DB queries and server config > QA breaks the code, finds the bugs, and forces a rewrite BEFORE I ever see it 6 agents -> 1 shared operation -> automatic handoffs -> human approval The secret isnt that these are six smart bots. It is that they share one persistent cloud environment The backend bots dont need to make pull requests -> the frontend bots already see the code in the shared folder No sync calls with a PM. No waiting on dev ops. Each bot keeps its own workflow, passes finished work forward, and I just approve the final build Launching a product used to mean raising a seed round, signing a lease, and hiring a team. Mine took an evening
5
2
28
1,265
WTF, I JUST REPLACED A $500K DEV AGENCY WITH A $200/MO GROK BOT SETUP Here is what my studio looks like in the cloud. Chief of Staff takes the brief and routes the work: > ARCHITECT designs the database and API from my prompts > FRONTEND (UI) builds the components and pixel-perfect screens > FRONTEND (STATE) wires the logic and connects the endpoints > BACKEND (CORE) writes the business logic and handles routing > BACKEND (DATA) manages the DB queries and server config > QA breaks the code, finds the bugs, and forces a rewrite BEFORE I ever see it 6 agents -> 1 shared operation -> automatic handoffs -> human approval The secret isnt that these are six smart bots. It is that they share one persistent cloud environment The backend bots dont need to make pull requests -> the frontend bots already see the code in the shared folder No sync calls with a PM. No waiting on dev ops. Each bot keeps its own workflow, passes finished work forward, and I just approve the final build Launching a product used to mean raising a seed round, signing a lease, and hiring a team. Mine took an evening
5
2
28
1,265
he had to jump a Formula 1 car while it drove straight at him not a parked car. not a slow one. the car comes at the ramp at speed and he has to leave the ramp at the exact moment it arrives go too early and the car passes underneath before he's over it go too late and he lands on the rear wing, which he describes as razor-sharp, at the moment it's moving toward his body that's the whole margin. one direction is nothing, the other direction is a blade before he's allowed to attempt it, he has to land five clean practice jumps beside the moving car. miss one and the safety team pulls the plug on the whole thing he misses. then he misses again on one attempt he goes sideways in the air. on another he's convinced he flew too low, watches the replay, and he was nowhere near it here's the part that gets him: the wind every gust changes where his body ends up in the air, and he can't feel how much until he's already committed. he calls it the hardest thing he's ever done mentally, and he isn't talking about the riding then they tell him there are 30 minutes left on track wind picking up, safety team watching, one or two attempts left in the entire day he lands it. first person to ever do it 11M views on a man on a bicycle. no plot, no twist, no edit -> just a question your body answers before your brain does that's three now. a room with no sound, a bottle with no inside, a bicycle over an F1 car. 31 million views between them, same shape every time save this. a man spent all day being told the wind might kill him, and then jumped a moving F1 car anyway
a shape with no inside. he filled it with water anyway pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again so he put the whole thing in a vacuum chamber turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get then he lets the pressure back in, and the water rushes up into the empty space on its own still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that here's the part that breaks your head: for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on the inside is the outside. so there's nothing there to fill he filled it anyway that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water
1
21
4,652
Banff retweeted
a 20-year-old put $1,000 on Trump saying two specific words on live TV. it paid $95,000 one question: will he say "fake news" this week? here's the part most people miss: he wasn't gambling. he was pricing a habit "Trump says fake news" sounds random if you've never listened to him speak. if you have, it's closer to betting the sun comes up. the market priced a personality trait like it was a coin flip that's the whole edge -> the crowd prices things by how silly they sound, not by how likely they are the clip is the best part. he buys it, then can't sit still. pacing outside, checking the stream, staring at the podium. Trump opens his mouth, says it, and the kid comes off the couch and that exact market runs every single week the one for August 3-9 is live right now and closes Saturday: -> "no no no" -> 95%, the crowd treats it as already done -> "moon" -> 29c -> "six seven" -> 18c -> "stupid question" -> 14c -> "epic fury" -> 13c -> "karoline" -> 13c the cheap ones at the bottom are where that edge lives. sometimes the crowd is right and they're genuinely unlikely. sometimes it just prices them low because they sound stupid, and that gap is the entire game live board here: polymarket.com?via=banff save this. the biggest edges hide inside the trades everyone else laughs at
2
3
1
54
2,975
a 20-year-old put $1,000 on Trump saying two specific words on live TV. it paid $95,000 one question: will he say "fake news" this week? here's the part most people miss: he wasn't gambling. he was pricing a habit "Trump says fake news" sounds random if you've never listened to him speak. if you have, it's closer to betting the sun comes up. the market priced a personality trait like it was a coin flip that's the whole edge -> the crowd prices things by how silly they sound, not by how likely they are the clip is the best part. he buys it, then can't sit still. pacing outside, checking the stream, staring at the podium. Trump opens his mouth, says it, and the kid comes off the couch and that exact market runs every single week the one for August 3-9 is live right now and closes Saturday: -> "no no no" -> 95%, the crowd treats it as already done -> "moon" -> 29c -> "six seven" -> 18c -> "stupid question" -> 14c -> "epic fury" -> 13c -> "karoline" -> 13c the cheap ones at the bottom are where that edge lives. sometimes the crowd is right and they're genuinely unlikely. sometimes it just prices them low because they sound stupid, and that gap is the entire game live board here: polymarket.com?via=banff save this. the biggest edges hide inside the trades everyone else laughs at
2
3
1
54
2,975
Banff retweeted
Creator of Claude Code: "Onboarding used to take two or three weeks. It's now about two or three days" That's what happened inside Anthropic when new engineers stopped asking humans questions and started asking the AI instead. The whole talk is 24 minutes of tips from the guy who built the thing, and almost none of it is what people repeat online: -> don't ask it to build the feature. ask it to make a plan first and wait for your approval. that one line fixes most bad results -> give it a way to check its own work -> a test, a screenshot, anything. then it iterates on its own and lands close to perfect instead of stopping at "fine" -> he doesn't type his prompts. he dictates them out loud, like talking to another engineer -> nobody programmed it to read git history. it just knows. he says the same about half the things it does save this. 24 minutes from the person who built it beats a hundred threads from people who didn't
4
4
40
1,474
Creator of Claude Code: "Onboarding used to take two or three weeks. It's now about two or three days" That's what happened inside Anthropic when new engineers stopped asking humans questions and started asking the AI instead. The whole talk is 24 minutes of tips from the guy who built the thing, and almost none of it is what people repeat online: -> don't ask it to build the feature. ask it to make a plan first and wait for your approval. that one line fixes most bad results -> give it a way to check its own work -> a test, a screenshot, anything. then it iterates on its own and lands close to perfect instead of stopping at "fine" -> he doesn't type his prompts. he dictates them out loud, like talking to another engineer -> nobody programmed it to read git history. it just knows. he says the same about half the things it does save this. 24 minutes from the person who built it beats a hundred threads from people who didn't
4
4
40
1,474
Banff retweeted
a piano holds 18 tons of string tension. guitar strings snap at 90 kilos he put guitar strings on a piano anyway the numbers said it couldn't work, and he listed the reasons before he started: 210 strings to buy. a professional tuner charges around $20 per string, so he was about to do $4,000 of labour by hand, having barely ever restrung his own guitar the strings are too short for a piano, so he had to tie them together end to end and not one guitar tuning peg fits a piano. it took him days of searching to find something that would then he started threading. thinnest guitar string in the spot where the thinnest piano string sits, next one after that, no measurements, no math, just feel he ran out of strings partway through, because tying them together ate more length than he calculated but the tied ones rang clean. that was the moment it stopped being a joke then he tuned all of it the only way he knows how -> a phone app and a guitar pick, string by string, on an instrument built to hold the weight of a small truck and it played Wonderwall that's the whole format. no plot, no twist, just a number that says impossible and a guy who does it anyway save this. a piano that should have torn itself apart played the most overplayed song on earth unrelated, but worth a read if you're into prediction markets, fresh piece from Boba:
1
1
39
3,860
a piano holds 18 tons of string tension. guitar strings snap at 90 kilos he put guitar strings on a piano anyway the numbers said it couldn't work, and he listed the reasons before he started: 210 strings to buy. a professional tuner charges around $20 per string, so he was about to do $4,000 of labour by hand, having barely ever restrung his own guitar the strings are too short for a piano, so he had to tie them together end to end and not one guitar tuning peg fits a piano. it took him days of searching to find something that would then he started threading. thinnest guitar string in the spot where the thinnest piano string sits, next one after that, no measurements, no math, just feel he ran out of strings partway through, because tying them together ate more length than he calculated but the tied ones rang clean. that was the moment it stopped being a joke then he tuned all of it the only way he knows how -> a phone app and a guitar pick, string by string, on an instrument built to hold the weight of a small truck and it played Wonderwall that's the whole format. no plot, no twist, just a number that says impossible and a guy who does it anyway save this. a piano that should have torn itself apart played the most overplayed song on earth unrelated, but worth a read if you're into prediction markets, fresh piece from Boba:
1
1
39
3,860
a shape with no inside. he filled it with water anyway pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again so he put the whole thing in a vacuum chamber turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get then he lets the pressure back in, and the water rushes up into the empty space on its own still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that here's the part that breaks your head: for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on the inside is the outside. so there's nothing there to fill he filled it anyway that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water
In the quietest room in the world, you wouldn't be able to survive for more than 30 minutes Even people who have been in it for just a few minutes begin to feel nauseous and dizzy Your vestibular system works by constantly picking up tiny echo signals, but in that room it receives no response, so your body thinks something is wrong Clap your hands -> and the sound will simply cease to exist Pop a balloon -> and there will be no explosion, just the snap of the shell breaking Everyone's voices sound as if they're right next to your ear, no matter where they are in the room And the reason this even exists: Harvard built the first devices of this kind during World War II, because testing acoustics outdoors meant spies could watch what they were doing Here's what most people overlook: This video racked up 11 million views in a single day No complicated editing, no plot, no climax. Just one question your brain refuses to let go of -> What does silence actually feel like? That's the whole point. The experiment doesn't need a plot. It needs a question that people can't stop trying to answer In the article below Paone wrote about two forms that underlie every viral video. This video is the purest version of one of them Save this. The most-viewed video of the day was a video in which 11 million people listened to silence
114
364
17
22,619
2,570,005
In the quietest room in the world, you wouldn't be able to survive for more than 30 minutes Even people who have been in it for just a few minutes begin to feel nauseous and dizzy Your vestibular system works by constantly picking up tiny echo signals, but in that room it receives no response, so your body thinks something is wrong Clap your hands -> and the sound will simply cease to exist Pop a balloon -> and there will be no explosion, just the snap of the shell breaking Everyone's voices sound as if they're right next to your ear, no matter where they are in the room And the reason this even exists: Harvard built the first devices of this kind during World War II, because testing acoustics outdoors meant spies could watch what they were doing Here's what most people overlook: This video racked up 11 million views in a single day No complicated editing, no plot, no climax. Just one question your brain refuses to let go of -> What does silence actually feel like? That's the whole point. The experiment doesn't need a plot. It needs a question that people can't stop trying to answer In the article below Paone wrote about two forms that underlie every viral video. This video is the purest version of one of them Save this. The most-viewed video of the day was a video in which 11 million people listened to silence
214
419
30
13,898
3,095,747
A guy built a guitar where the strings float on magnets. push the magnet sideways -> every note bends at once the first version was plastic. it collapsed under the string tension almost immediately so he rebuilt it in metal, and the thing actually worked what he found after that is the part nobody expected: push the magnet sideways -> the pitch bends push it toward the pickup -> the strings move closer and the volume rises flick it -> the magnets shake and the whole instrument shivers three completely different effects from one piece of metal, and none of them were designed. he found them by touching it the whole guitar wobbles while you play. he described it as jumping on a trampoline with your hand and it's so sensitive that hanging something on the magnet changes the weight, pulls on the strings, and knocks the guitar out of tune here's what most people overlook: this clip did 8M views, and there's no story in it. no twist, no reveal, no payoff at the end it's just a man in a room discovering what his own invention does, in real time, on camera that's the entire format. an experiment doesn't need a plot. it needs a result even the person doing it can't predict you stay because he doesn't know what happens next either save this. the most watched thing today was a guy touching a magnet and being surprised
78
476
43
9,015
319,523
my neighbor built an AI girl men send her money. buy her gifts. write her poems. he says one of them flew to her city to meet her there is no her there's a 38-year-old in boxers in a gaming chair. he moves -> she moves. same second. he puts a hand on his chest -> she puts a hand on hers last week he showed me his phone. three donations before noon. $120. $145. $52 his wife found out. she didn't yell. she asked him to make one for her too his entire setup is a laptop and $21 a month here's the part that should scare you: he's a locksmith. no editing skills, no tech background, nothing. he learned it in an evening which means the number of accounts like this isn't small, and there's no version of the internet where it gets smaller from here every profile you scroll past could be a guy in a chair. the only reason i know about this one is that he lives next door Paone wrote about why videos like this spread so fast in the article below -> the two shapes behind every viral video, and how they get built now save this. the girl in the video is the least real thing you'll see this week
5
2
23
11,703