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Sonnet 5.5, the Fortnite test
I was not ready for it to one-shot something this close to the real game
GTA 6 isn't out yet. Anthropic's new Fable 5.2 already built me one
one prompt. I was not ready for how close it got to the real thing
an indie studio quotes $90,000 and 8 months for a playable prototype like this. Fable 5.2 did it in 2 hours 14 minutes on a $200 plan
what's in there:
→ on foot: sprint, jump, kick, fists, a pistol with real ammo and reloads
→ crime: a witness calls the cops, the stars stack up to 5, police shoot back
→ cars: jack any car, 3 gears, handbrake, headlights, live traffic and crashes
→ garage: 10 paint jobs, bumpers, 5 wheel sets, rim colors and neon underglow, all paid from your balance
→ missions: a 9-checkpoint race on a timer and a courier run that pays $600
→ the city: 9 districts, sunny day into neon night, a minimap, hidden cash that glows green and a pelican on the pier
even the sound is code. every gunshot, engine and siren is generated in python, zero audio files
the prompt:
"you're a senior game dev. build a third-person open-world crime game in a sunny 80s miami-style city. make the loop tight: walk, fight, steal a car, get chased, earn money, spend it. every system feeds the next: crimes bring heat, heat brings cops, missions pay, money unlocks the garage. cars need weight: gears, skids, real crashes. the city has to feel alive with traffic, people and day into night. no audio files, generate every sound in code. after each system, play it yourself, screenshot it and fix what looks wrong. don't stop until a stranger could play for 10 minutes without hitting a bug"
here's what it built ↓
eric retweeted
OpenAI is f*cking cooking... Sam Altman's team just shared 106 Codex plugins and skills for free, and most of them replace a tool you already pay for
62 plugins, 44 skills, 170,000 GitHub stars. the average team pays $2,000 a month for the apps these plug into. Codex now runs them for you at $0 extra
pick by the job that eats your week:
→ shipping an app: build-ios-apps, build-web-apps, vercel
→ getting paid: stripe, shopify
→ design: figma, canva, adobe
→ inbox and meetings: gmail, slack, zoom, granola
→ keeping it safe: codex-security, sentry
open Codex, ask it to install the plugin by name, connect your account and give it the first task
plugins: github.com/openai/plugins
skills: github.com/openai/skills
most people will scroll past this and keep paying for 10 apps. you just need one plugin to start
the whole stack, running live below ↓
eric retweeted
this is f*cking huge... Google just shared 303 free skills that turn Claude into your assistant for Gmail, Calendar, Drive and Sheets
one works like an executive assistant. one like a sales ops lead. one like an HR coordinator. one designs a full app screen from one sentence
64,000 GitHub stars between them. an executive assistant costs $4,350 a month. here all 303 cost $0
how to set it up:
1. open Claude Code
2. ask it to install the skills from the links below
3. connect your Google account
4. tell it: "sort my inbox and find me one free hour tomorrow"
workspace: github.com/googleworkspace/c…
ads and cloud: github.com/google/skills
design: github.com/google-labs-code/…
one week in, your inbox is sorted, every receipt lives in one sheet and Friday ends with a digest of everything that moved
64,000 developers already set this up. the full workflow is below ↓
eric retweeted
NEW WALLET LOST $4,768,737 IN 9 DAYS BETTING ON LEAGUE OF LEGENDS WORLDS
Meet Thunderous-Authoritarian-Snarl
Profile: polymarket.com/@Thunderous-A…
The wallet was created on October 31. His first bet was $36,000.
Since then: 44 markets, $28.1M volume, up to $1.1M on a single game of League of Legends.
He can win big:
-> Karmine Corp over T1 in Game 3 at 30.6¢: +$526,579
-> NaVi over Falcons at IEM Beijing at 45.4¢: +$477,951
-> B8 over Legacy at 39.9¢: +$387,375
-> Invictus over Top Esports in Game 4 at 56.5¢: +$324,388
And lose even bigger:
-> Dplus KIA vs Bilibili, Game 1: -$1,148,988
-> Bilibili vs T1, Game 2: -$1,115,944
-> T1 vs Bilibili, Game 1: -$1,020,445
-> Dplus KIA vs Bilibili, Game 3: -$823,327
-> Hanwha Life vs Bilibili, Game 1: -$805,806
Total: +$3.5M in wins, -$8.3M in losses.
Bilibili Gaming alone cost him over $4M.
Who is burning a million dollars per map?
I'll be tracking his next moves
eric retweeted
no f*cking way... you don't need a $1,000 AI course. Anthropic just made all 23 of theirs free, including the one they built for Amazon engineers
one teaches you Claude in an afternoon. one turns you into a Claude Code power user. one shows how to build your own agent skills. one walks a small business through its first AI setup
about 40 hours of lessons from the people who build Claude. bought one by one, that's $4,600+. here all 23 cost $0
how to pick yours:
1. open the course list
2. paste it into Claude
3. ask: "which 3 of these fit my job, and in what order?"
4. finish the first one tonight, then ask Claude to quiz you on it
courses: anthropic.skilljar.com
academy: academy.claude.com
start small: one course this week, the one closest to the work you do every day
the courses teach you Claude. the article below shows you how to build agents with it ↓
Scarlett Johansson’s “leaked sex tape” was AI porn. It got over 1.5 million views. This October, reporters found her AI double on Instagram. The f#cked-up part was in the bio. Follow the links and someone was using her face to sell adult subscriptions.
In 2011, her actual nude photos leaked after a hacker broke into email accounts. He got ten years for hacking Johansson and dozens of other people.
By 2018, nobody needed her password. The Washington Post found dozens of porn deepfakes with her face. The one with 1.5 million views was passed off as a real leak. Johansson told the paper anyone could put her face on somebody else’s body and make it look eerily real.
Eight years later, The Verge found what that looked like on Instagram.
The page posted AI images of Scarlett, often with her bare feet front and center. The profile had a contact for advertisers and links out to Patreon and Telegram. That’s where subscriptions were sold. Off Instagram, her name and AI likeness were used to advertise adult content.
The Verge asked Meta about the account. It disappeared.
Another one was still up. It had over 300,000 followers when the story ran. Real clips of Scarlett sat alongside apparent AI images. One of her double lying on a couch had nearly half a million likes. No AI label. And that was within Meta’s rules. The company can require a label on realistic AI video. The same requirement doesn’t apply to still images.
In 2012, the man who stole her photos had a name and a prison sentence. This October, reporters followed the links all the way to paid subscriptions. I still want to know whose account the money went into.
Jazz Thornton looked out her window and saw the man from her DMs. He’d flown 11,000 miles to find her. She called the cops. By the time they arrived, the bench was empty. Then he messaged again. He’d f#cking SEEN them arrive. Jazz had no idea where he’d been watching from.
He’d been in her Instagram DMs for weeks. When she didn’t reply, he told her housemate he was flying to New Zealand.
Then he tagged Jazz in a Story holding a book only sold in New Zealand. He’d made it.
A bag of Dutch snacks and two letters appeared outside her house. Jazz checked the signature. It was him.
While Jazz waited for police, her housemate crawled to the blinds so he wouldn’t see her. A police letter quoted by 7NEWS says how long he spent watching Jazz through the windows. About an HOUR.
Jazz and her housemates went to a hotel. The next morning, he messaged her housemate again. The last line read, “I hope to see you in the next life soon.”
Jazz feared he’d hurt himself. Detectives feared he meant to kill her too.
They arrested him near her house. Jazz later learned he’d withdrawn cash, rented a white van and gotten another phone.
New Zealand had no standalone stalking offense at the time. Police gave him a harassment warning, barred him from her property and let him go.
How did he find her house? There was a bridge in the background of one of her TikToks. He identified it with Google’s reverse image search.
Then he matched old footage from her balcony with images on Google Earth. That gave him her address.
Days later, he left the country on his own. Jazz backed the campaign to change the law. In May 2026, New Zealand made stalking a standalone criminal offense.
Jazz stopped posting in real time. She added her address and the places she goes to her social media filters. Two years later, she still scans crowds for his face.
After that, how would it feel to open the blinds in your own home?
eric retweeted
Andrej Karpathy (lead researcher at Anthropic) says his favorite use of AI isn't code. it's turning everything he reads into a personal wiki
so I gave Claude Code my Obsidian vault. 1,400 notes from 3 years that I never opened again. one night later it had built a $35 guide from them. 21 days later 410 people had paid for it. $14,350 from notes I forgot I wrote
the whole setup is free. 10 repos, 428,000+ stars:
[01] the vault:
obsidian-skills (51k ★): teaches Claude Code to read, write and link notes in your vault, made by the Obsidian CEO himself
github.com/kepano/obsidian-s…
mcp-obsidian (4.5k ★): lets your agent search and edit the whole vault without you opening the app
github.com/MarkusPfundstein/…
MarkItDown (194.4k ★): turns PDFs, Word docs, slides and spreadsheets into clean notes in one line
github.com/microsoft/markitd…
[02] the memory:
Basic Memory (4.5k ★): saves every chat with Claude as a note, so you never explain your project twice
github.com/basicmachines-co/…
mem0 (68.6k ★): remembers your facts and preferences across every session
github.com/mem0ai/mem0
[03] finding the money:
Smart Connections (5.5k ★): finds notes that belong together even when you never linked them
github.com/brianpetro/obsidi…
LightRAG (40.6k ★): turns your notes into a knowledge graph your agent searches in seconds
github.com/HKUDS/LightRAG
Khoj (38.1k ★): answers any question from your own notes and the web, on your own machine
github.com/khoj-ai/khoj
[04] shipping it:
Obsidian Copilot (8k ★): runs Claude Code, Codex and OpenCode right inside Obsidian
github.com/logancyang/obsidi…
Quartz (13.5k ★): turns your vault into a live website in one command
github.com/jackyzha0/quartz
a ghostwriter charges $5,000 for one guide like this. mine took one night and a $200 plan, and the vault is still full of the next one
your notes already know what to sell. the full setup is below ↓
eric retweeted
I can't f*cking believe this is free... the best reverse engineer on your team doesn't need the source code anymore
OpenAI, Google DeepMind and Anthropic researchers just published the whole method for free in a paper called SRE-Bench. your agent maps the binary first, names every function by what it does and proves each finding with a test before it answers
same model, zero fine-tuning. 24.9% → 82.4% on programs with no source code, and 22x faster than a human expert. a reverse engineer bills $10,000-25,000 to take one app apart. here it cost $0
it comes down to 4 agents:
→ mapper: lists every function, string and import in the binary
→ namer: renames each function by what it actually does
→ tracer: follows the input from the first click to every file, network and crypto call
→ prover: writes a test for every finding. no test, no finding
that's why asking Claude "what does this binary do?" gets you a confident guess. without the map, even the best model is reading tea leaves
paste this prompt into Claude Code:
"Use GhidraMCP to analyze ./legacy-app, a binary we own whose source code was lost. Run 4 agents. Mapper: list every function, string and import. Namer: rename the 50 most-called functions by what they do. Tracer: follow user input to every file, network and crypto call. Prover: write a test for each finding and run it. Put everything in SPEC.md. Don't modify the binary"
point it at the oldest app nobody on your team understands. by tonight it has a manual
full method below ↓
Someone was posing as Collien Fernandes and sending men explicit photos. She went to the police. On Christmas Day, her HUSBAND asked her to sit down. Then he admitted it was f#cking HIM. And she knew some of those men in real life.
About 30 men. That’s the number Christian Ulmen gave in an email to his lawyer reviewed by The New York Times. He’d even messaged their insurance agent as her. Collien never got all the names.
Before that, she’d gone to lunch with a producer. Right there at the table, he pulled out his phone and showed her explicit photos. He thought she’d sent them herself. He thought they were having an affair.
So she started looking for whoever was behind it. While making a documentary, she tried to draw one of the fake LinkedIn accounts into a conversation. She told her husband about the plan. The account never replied.
The documentary aired in December 2024. On Christmas Day, Ulmen read about it and found out she’d already gone to the police.
Then ChatGPT logs appeared in her complaint. In one chat, someone asked how to get the men to delete their emails without it being treated as witness tampering.
Later, in a Hamburg court proceeding, neither side disputed that Ulmen had sent deepfake photos.
After Collien went public, she received death threats. In the video, she’s standing in front of a crowd in a bulletproof vest.
Collien found out who was posing as her, but she never got all the names. She only knew about the producer because he showed her his phone.
How the fuck do you go to lunch with someone you know after that without wondering if they’ve already been texting “you”?
Elon Musk’s Grok gave a woman a sexualized photo with her own face on it. She says it took less than 30 f#cking seconds. Then she held it up at the very hearing where the company was explaining its safeguards against deepfakes like this.
The woman holding the phone is Julie Menin, the speaker of the New York City Council.
Musk’s company skipped the first hearing. The council issued a subpoena to get it to show up for the second.
Menin asked a SpaceXAI rep if Grok could show a real person in a sexualized image. The rep said Grok had strict safeguards.
Menin already had an answer on her phone. That morning, her team had taken her official headshot and opened the free version of Grok.
She said they kept going after the first image. Grok accepted follow-up requests, and the pictures got more explicit.
Menin said her daughter would be horrified to see a picture like that of her mom.
The rep apologized and offered to have the safety team look into it.
Then Devin Kim took the mic. He was one of xAI’s first employees and helped build the systems used to train and test Grok.
Kim said roughly 200 technical staff worked on the model during his time there. Three people worked on safety.
He said the guidance he got back then allowed “tasteful nudity.”
Who the f#ck decided what counted as tasteful? Kim said nobody was clearly assigned to make that call. He said he couldn’t speak to the company’s current rules.
It started with a normal headshot. The kind you put on your profile so people recognize you.
What the f#ck would stop Grok from doing to your photo what it did to Menin’s?
eric retweeted
this is f*cking insane... Boris Cherny's team at Anthropic just shared 94 Claude plugins and skills for free. ALL OF THEM
one answers your emails. one chases clients who didn't pay. one finds the trap in your contract. one fixes your code while you sleep
55 plugins for Claude Code
20 plugins for real jobs: sales, legal, finance, marketing
19 skills: Excel, PowerPoint, PDF, Word and more
269,000 GitHub stars between them. agencies charge $300-1,500 to build just one of these. here all 94 cost $0
how to grab one:
1. open Claude Code and type /plugin
2. pick the one for the job you hate most
3. hit install
4. give it the first task in chat
plugins: github.com/anthropics/claude…
work plugins: github.com/anthropics/knowle…
skills: github.com/anthropics/skills
start small: one plugin today for the task you repeat every week
plugins are the start. how to build your own AI agents is in the article below ↓
Elon Musk’s Grok gave a woman a sexualized photo with her own face on it. She says it took less than 30 f#cking seconds. Then she held it up at the very hearing where the company was explaining its safeguards against deepfakes like this.
The woman holding the phone is Julie Menin, the speaker of the New York City Council.
Musk’s company skipped the first hearing. The council issued a subpoena to get it to show up for the second.
Menin asked a SpaceXAI rep if Grok could show a real person in a sexualized image. The rep said Grok had strict safeguards.
Menin already had an answer on her phone. That morning, her team had taken her official headshot and opened the free version of Grok.
She said they kept going after the first image. Grok accepted follow-up requests, and the pictures got more explicit.
Menin said her daughter would be horrified to see a picture like that of her mom.
The rep apologized and offered to have the safety team look into it.
Then Devin Kim took the mic. He was one of xAI’s first employees and helped build the systems used to train and test Grok.
Kim said roughly 200 technical staff worked on the model during his time there. Three people worked on safety.
He said the guidance he got back then allowed “tasteful nudity.”
Who the f#ck decided what counted as tasteful? Kim said nobody was clearly assigned to make that call. He said he couldn’t speak to the company’s current rules.
It started with a normal headshot. The kind you put on your profile so people recognize you.
What the f#ck would stop Grok from doing to your photo what it did to Menin’s?
Sam Altman’s sister went to court and accused him of sexually abusing her as a child. The OpenAI CEO sued HER back. Then he asked the judge to dismiss his own claims, but only on one f#cking condition. The judge agreed.
Annie alleged the abuse began when she was 3 and Sam was 12. Sam denies the allegations.
In March, the judge threw out some of her claims as too late but let her amend her complaint. Most of Sam’s counterclaims stayed in the case. Annie had to make her own case and defend herself against his.
Then Sam’s lawyers sought an independent medical exam. The judge ordered Annie to attend in person.
She could go to Boston instead of St. Louis. A nurse could be in the room. The judge even said Annie could knit during the exam.
Annie says she couldn’t fly after surgery. She offered to do the exam over video or closer to home.
The judge counted 3 missed exams. The order also cites documents Annie hadn’t turned over on time. He found she was deliberately delaying the case.
The last deadline passed on October 16. Three days later, the judge signed the order. Two days after that, Annie went on camera to explain why she hadn’t gone.
There are two numbers in the last paragraph of the order. 109 and 150. Sam filed both motions.
In the first, he asked the judge to dismiss his sister’s claims. In the second, he asked to dismiss his own counterclaims. But only if the judge dismissed hers first.
Here’s what gets lost in the f#cking headline that both were dismissed. Annie’s claims were dismissed with prejudice. She can’t file those same claims again.
Sam’s counterclaims were dismissed without prejudice. He still has the option to bring them again.
Annie’s case ended during discovery. If Sam files again, she could be back in court defending herself.
Would you keep talking if telling the same story could get you f#cking sued?
eric retweeted
holy f*ck... the best AI agents don't have a better model. they have better notes
Stanford University just published the whole method for free in a paper called Agentic Context Engineering. your agent reviews every run, writes down each lesson and adds it to its notes. it never rewrites them, so nothing it learns is ever lost
same weights, zero fine-tuning. 38.6% → 64.2%, level with IBM's top production agent on Opus 5.5. fine-tuning for that jump costs $5,000-20,000. here it cost $0
it comes down to 4 agents:
→ worker: does the task and saves the full log
→ critic: reads the log and marks every mistake and every win
→ teacher: turns each one into a one-line lesson
→ librarian: files the lesson into CLAUDE.md. merges duplicates, never deletes a line
that's why asking your agent to "clean up" your CLAUDE.md is a mistake. every rewrite throws away lessons it already paid for
paste this into Claude Code:
"Run 4 agents on my last 10 sessions in ~/.claude/projects. Critic: mark every mistake and every win. Teacher: turn each one into a one-line lesson, what happened and what to do next time. Librarian: add only new lessons to my CLAUDE.md under ## Lessons, merge exact duplicates, never rewrite or delete an existing line. Worker: rerun 2 of the failed tasks with the new lessons and save the full log. Show me the diff and both results before saving"
run it after every big session. your agent gets smarter every time and it costs $0
full playbook below ↓
Sam Altman’s sister went to court and accused him of sexually abusing her as a child. The OpenAI CEO sued HER back. Then he asked the judge to dismiss his own claims, but only on one f#cking condition. The judge agreed.
Annie alleged the abuse began when she was 3 and Sam was 12. Sam denies the allegations.
In March, the judge threw out some of her claims as too late but let her amend her complaint. Most of Sam’s counterclaims stayed in the case. Annie had to make her own case and defend herself against his.
Then Sam’s lawyers sought an independent medical exam. The judge ordered Annie to attend in person.
She could go to Boston instead of St. Louis. A nurse could be in the room. The judge even said Annie could knit during the exam.
Annie says she couldn’t fly after surgery. She offered to do the exam over video or closer to home.
The judge counted 3 missed exams. The order also cites documents Annie hadn’t turned over on time. He found she was deliberately delaying the case.
The last deadline passed on October 16. Three days later, the judge signed the order. Two days after that, Annie went on camera to explain why she hadn’t gone.
There are two numbers in the last paragraph of the order. 109 and 150. Sam filed both motions.
In the first, he asked the judge to dismiss his sister’s claims. In the second, he asked to dismiss his own counterclaims. But only if the judge dismissed hers first.
Here’s what gets lost in the f#cking headline that both were dismissed. Annie’s claims were dismissed with prejudice. She can’t file those same claims again.
Sam’s counterclaims were dismissed without prejudice. He still has the option to bring them again.
Annie’s case ended during discovery. If Sam files again, she could be back in court defending herself.
Would you keep talking if telling the same story could get you f#cking sued?
A man filmed a woman with Zuckerberg’s glasses without her knowing. People she hadn’t heard from in years sent her the clip. She reckons it got over 200,000 views. Now imagine opening that message and seeing your own f#cking face.
Her name is Toluwa Omitowoju. A stranger filmed her for a pickup prank. She told CBS nobody asked her permission to post it.
There's a white light on the frame. It's supposed to warn you that the person in front of you is already recording.
A CBS reporter tested that safeguard in August. She covered the light mid-recording, and the f#cking thing kept filming.
In September, Meta said it updated the glasses. The company says the camera now shuts off if it detects tampering, even after recording starts.
Then senators wrote to Zuckerberg. There's a detail on page 64 of Meta's own report. Before the first glasses launched, the company considered whether people with impaired vision could see the signal.
The letter asks about another mode. The glasses can use the camera to answer an AI query. How did Meta test cases where the outward-facing light stays off?
Workers at a Meta contractor in Kenya told reporters they'd seen footage of people changing clothes and using the bathroom.
Meta ended its work with that contractor. The company says it gets user consent for humans to review AI content.
The user gives consent. You could be the one in the frame.
Senators asked Zuckerberg for the names of the contractors, the countries where footage is reviewed, and the contract terms for keeping and sharing it.
Toluwa's clip was eventually taken down. At least someone sent her a link.
By November 25, senators want to know whether someone caught on camera can ask Meta to delete their data.
How the f#ck do you ask to delete footage you don't even know exists?
eric retweeted
THIS IS F*CKING DANGEROUS
Boris Cherny (creator of Claude Code) loaded Trail of Bits' audit skills into Claude Code, pointed 9 agents at a DeFi protocol holding $40 million and gave them one job: drain it before a hacker does
6 hours later: 14 findings, 3 critical, each one with a working exploit. any one of the 3 could have drained the $40 million. finding them cost $200. an audit firm charges $80,000 and makes you wait 4 weeks
every tool in that run is free on GitHub. 9 repos, 111,000+ stars between them:
1. Trail of Bits Skills (8k stars)
gives Claude Code the audit workflows of the firm that checks Ethereum's biggest protocols
github.com/trailofbits/skill…
2. TruffleHog (28.8k stars)
finds leaked private keys and API keys in your repo and checks which ones still work
github.com/trufflesecurity/t…
3. OpenZeppelin Contracts (27.3k stars)
the audited building blocks most of DeFi runs on. your agent compares every custom contract against them
github.com/OpenZeppelin/open…
4. Semgrep (17.4k stars)
turns one exploit into a rule that catches every copy of the same bug across your code
github.com/semgrep/semgrep
5. Foundry (10.7k stars)
lets your agent write, fuzz and break contracts on a mainnet fork before anyone deploys
github.com/foundry-rs/foundr…
6. DeFiHackLabs (6.8k stars)
rebuilds 906 real DeFi hacks as tests your agent can rerun against new code
github.com/SunWeb3Sec/DeFiHa…
7. Slither (6.4k stars)
flags the classic Solidity bugs in seconds, before a human reads a single line
github.com/crytic/slither
8. Mythril (4.3k stars)
attacks the compiled bytecode itself and finds the paths that drain funds
github.com/ConsenSysDiligenc…
9. Pashov Skills (1.3k stars)
an auditor in a folder from Pashov Audit Group. researchers already get paid for the bugs it finds
github.com/pashov/skills
start with 1 and 6. give the agents every hack that already happened, then point them at your own contracts
hackers don't wait 4 weeks for the report. whole setup is below ↓ steal it before they do
eric retweeted
this is a f*cking unreal
I gave Claude Code $82.60 and one job: find what Wall Street missed in this week's earnings reports. 7 days later the account sits at $1,246.90
no charts, no trading bot. 6 agents read 214 filings overnight, argued over every pick and left me 3 stocks with the reasons written out. I bought calls on all 3
the desk, role by role. 10 repos, 118,000+ stars:
the researcher → Dexter (27.7k ★)
plans its own research, checks its own work and answers any market question with live data
github.com/virattt/dexter
the data desk → yfinance (25.8k ★)
pulls prices, financials and earnings dates for any ticker in one line, free
github.com/ranaroussi/yfinan…
the news reader → FinGPT (21.5k ★)
reads the headlines and scores the sentiment before the market opens
github.com/AI4Finance-Founda…
the investment committee → AI Berkshire (17k ★)
runs Buffett and Munger's methods as parallel agents in Claude Code. its author's audited portfolio: +69% in 2024
github.com/xbtlin/ai-berkshi…
the report writer → FinRobot (8.4k ★)
turns one ticker into a full equity research report on your own desktop
github.com/AI4Finance-Founda…
the math desk → FinanceToolkit (5.5k ★)
runs 500+ financial methods, from ratios to valuation models, so your agent never does the math by hand
github.com/JerBouma/FinanceT…
the forecaster → TimeGPT (4k ★)
forecasts revenue, prices and anomalies from any time series in a single call
github.com/Nixtla/nixtla
the librarian → QuantMind (3.1k ★)
pulls the key facts out of research papers and filings and makes them searchable for your agent
github.com/LLMQuant/quant-mi…
the filings clerk → edgartools (2.8k ★)
reads any 10-K, 8-K or 13F in a few lines of Python, so your agent never guesses a number
github.com/dgunning/edgartoo…
the fact checker → AI Financial Agent (2k ★)
answers investment questions with real fundamentals instead of vibes
github.com/virattt/ai-financ…
a junior analyst on Wall Street costs $180,000 a year. this desk runs on a $200 plan and never sleeps
the edge was never the AI. it's reading what nobody else had time to read
how the 6 agents split the work ↓
eric retweeted
holy f*ck... your AI agent can now fix its own setup. no engineer, no stronger model
Shanghai AI Laboratory just published the whole method for free in a paper called Self-Harness. your agent reads its own failed runs, finds what keeps breaking and writes its own rules
same model, same weights, zero retraining. on tasks it had never seen, it went from 30.2% to 84.6%. teams pay consultants $3,000-10,000 for a jump like that. here it cost $0
it comes down to 4 steps:
step 1 → pull your last 20 sessions, failed ones first
step 2 → find the 3 failures that keep repeating
step 3 → write one small rule per failure, never a big rewrite
step 4 → rerun old tasks. a rule stays only if it passes
that's why copying someone else's CLAUDE.md never works. your agent has its own bad habits
paste this into Claude Code:
"Read my last 20 sessions in ~/.claude/projects, failed ones first. Find the 3 failures that repeat most. Write one small rule for my CLAUDE.md per failure. Rerun 3 past tasks and keep only the rules that pass. Show me the diff before changing anything"
try it tonight, it's free
eric retweeted
this is f*cking wild... Boris Cherny (creator of Claude Code) just removed the 5-hour limit for verified Claude Ultra accounts. same $200 a month. the weekly limit stays
an agency quoted me $38,000 and 10 weeks to rebuild our old app. so I gave that job to one run and didn't stop it. it went 31 hours straight
→ Fri 20:00 → 12 agents start on a 48,000-line app, one owner per module
→ Sat 01:00 → the moment the old 5-hour wall would have killed it. every module mapped, nothing shipped yet
→ Sat 09:40 → the database is moved. 1.2M rows, 0 mismatches
→ Sat 18:15 → payments are rebuilt and tested against 300 old invoices
→ Sun 00:30 → the new UI is done, every screen compared with the old one
→ Sun 03:00 → finished. 412 tests green. 41% of my week
$38,000 and 10 weeks → $200 and 31 hours, 190x cheaper and 54x faster
no wall also means a bad run never stops on its own. 4 rules kept this one alive:
1. one owner per file. no agent touches a file another agent owns
2. a budget per run. it stops at 50% of the week, no matter how the tests look
3. a stop rule. 3 failed attempts on the same file means stop and write down why
4. a checkpoint every hour. commit, one line on what changed, one line on what's next
put this in your CLAUDE.md before your first long run:
"For any run over 1 hour: give every agent its own files and never let two edit the same one. Stop the whole run at 50% of my weekly usage. After 3 failed attempts on a file, stop that agent and log why. Commit every hour with one line on what changed and one line on what's next"
how to build agents like these with Claude Code and Opus 5.5 is in my full course below ↓
eric retweeted
Andrej Karpathy (AI researcher at Anthropic) just fired YouTube's algorithm. Claude read 43M Hacker News comments and kept only the 6,454 videos engineers actually recommend. 100% free, no login
what you see below is just 2 minutes of the full MIT lecture, and it already changes how you speak
seriously, start with these 8 before anything else:
→ How to Speak - the MIT lecture on communication, 23.5M views
→ Simple Made Easy - Rich Hickey on why most software gets complicated
→ The Mind Behind Windows - 3 hours with Dave Cutler, the man who built it
→ How Electricity Actually Works - Veritasium, 12.8M views
→ The Century of the Self - the documentary on how advertising learned to work on you
→ Building the PERFECT Linux PC - with Linus Torvalds himself
→ Chernobyl 3828 - 27 minutes on the men sent to clear the roof
→ Second Reality - the legendary 16-minute PC demo from Future Crew
the rest live on HackerTube. no algorithm, no ads feed, just what engineers keep telling each other to watch. start with How to Speak tonight, the full hour is in the first reply
is 43M engineer comments a better curator than YouTube's algorithm, or is it just nostalgia?
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
I GAVE MY BOT $60 AND ONE RULE: EVERY TIME IT DOUBLES, THAT LEVEL BECOMES THE FLOOR. 24 HOURS LATER: $4,624
by the last hour, the worst this day could end at was $3,840
most people think the hard part is making the money. it isn't. the hard part is not giving it back on the way up
my bot trades fresh Solana memecoins, puts about 30% of the balance into each entry, sets the take-profit before it buys and cuts anything at -25%. every time the balance doubles, that number turns into a floor. touch the floor and it closes everything and stops for the day
the big closes:
- 01:12, WOBBL +180%, +$32
- 02:40, FLINT +240%, +$66, floor $120
- 08:31, GRUBB +410%, +$180, floor $240
- 12:47, ZEPHY +520%, +$509, floor $480
- 21:05, KRILL +690%, +$1,598, floor $1,920
- 23:18, OPALZ +300%, +$2,133, floor $3,840
now the red side. 23 losing trades all day, $214 combined, less than ZEPHY paid on its own. every one of them hit while the balance sat way above the floor, so the bot never came close to stopping
and the size did the rest. OPALZ did less than half of what KRILL did, +300% against +690%, and still paid more, $2,133 against $1,598, because the balance under it was 3x bigger
the small wins in between added another $260
paper run on live prices. memecoins go to zero all the time, this is how my test is set, not a plan for your rent
hour 24. $4,624 on the account, and the floor under it is already $3,840














