Hakkle

smiling dog nft

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[darkzodchi @zodchiii]

Anthropic CEO Dario Amodei:

"The cheapest way to use Claude is also the smartest. Most devs do the exact opposite."

In 36 minutes, he breaks down the real economics behind every Claude model, and why running them all the same way is a mistake.

Watch the full interview, then save the config below 👇

[Polymarket @Polymarket]

NEW: AI consultant reveals a client accidentally spent $500,000,000.00 in a single month after failing to set employee limits on Claude usage.

[Ihtesham Ali @ihtesham2005]

A guy named nbatman on Reddit accidentally built the most useful website on the internet.

It's called FMHY (Free Media Heck Yeah).

This is the website Google delisted from search for DMCA violations, Reddit shadow-banned for promoting piracy, the Motion Picture Association flagged as a top piracy threat, and the RIAA pressured hosting providers to drop. It is still online. It is still updated every month.

Here's how it works.

FMHY is the index. The wiki itself hosts nothing. It just tells you where every free thing on the internet actually lives, organized into 14 categories with safety ratings on every single link.

→ Movies and shows in 4K from 50+ streaming sites
→ Music at Spotify and Apple Music quality
→ Adobe Creative Cloud, Microsoft Office, AutoCAD, JetBrains
→ Every paid course on every major learning platform
→ 100 million books and papers through Anna's Archive
→ Free alternatives to every paid AI tool
→ A SafeGuard browser extension that flags unsafe sites in real time

It started as a single Google Doc maintained by one Reddit moderator in 2018. Google killed it with a DMCA takedown in 2023.

The community rebuilt the wiki on its own domain, mirrored it to GitHub and IPFS, and now runs it across 12 backup domains simultaneously.

There is no company. No CEO. No central server. Six anonymous volunteers maintain the entire thing in their spare time. Donations through Ko-fi pay for the hosting. Nobody profits.

Hollywood can't shut this down. Spotify can't shut this down. Adobe can't shut this down.

The entire subscription economy is held together by you not knowing this wiki exists.

https://t.co/AAr2rLlqgy

[Anatoli Kopadze @AnatoliKopadze]

the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work

I've seen $300 courses that don't cover what he shows in the first 10 minutes

CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns

all in one video and completely free

works whether you're a developer, a beginner, or someone who's been using Claude for months

based on this, I put together 18 things you can copy and use in Claude today

full guide in the article below

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Rahul @sairahul1]

Boris Cherny, the creator of Claude Code, just confirmed something I spent 90 days measuring.

73% of tokens are wasted before Claude reads your actual prompt.

He breaks it down in a recent podcast:

→ the 14% lost to CLAUDE.md bloat
→ the 13% paid re-reading old history
→ the 11% from forgotten hooks
→ why "Claude got dumber" is almost never the model

I logged 430 hours and 6 million tokens to find the same patterns — and the 30-second fix for each.

Watch his podcast first.

My breakdown is below.

[Clash Report @clashreport]

Reporter: Would the US defend Taiwan if it came to it?

Trump: I don't want to say that. I'm not going to say that.

That question was asked to me today by President Xi. I said, “I don't talk about those.”

Reporter: He asked you if you would send troops?

Trump: He asked me if I'd defend them. I said, “I don't talk about that.”

[ClaudeDevs @ClaudeDevs]

Claude Code weekly limits are increasing 50%, now through July 13.

Live now for all Pro, Max, Team, and seat-based Enterprise users.

[Elon Musk @elonmusk]

To give people confidence that we are not secretly manipulating the 𝕏 recommendations, it is critical that we open source anything that influences what people are shown

[Anthropic @AnthropicAI]

New Anthropic research: Teaching Claude why.

Last year we reported that, under certain experimental conditions, Claude 4 would blackmail users.

Since then, we’ve completely eliminated this behavior. How?

[Daniel San @dani_avila7]

Boris has Claude Code loops running on cron all day

- One babysits his PRs and fixes CI
- Another keeps CI healthy
- Another pulls Twitter feedback every 30 min and clusters it

His Claude Code setup is simple and pretty close to mine

That's what I like about Claude Code. Hundreds of options, but the simplest setup just works, you probably don't need more than that

And since one of those loops reads Twitter every 30 min, @bcherny (or his Claude on cron) is reading this post whether he wants to or not 😅

[Blaze @browomo]

This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each.

He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message.

No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key.

And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly.

7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month.

All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks.

And here is the system prompt he put into the orchestrator before launch:

"You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes.

sub-agents:

// Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings)
// Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words)
// Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap)
// Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom)
// Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors)
// Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending)
// Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go).

You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%."

Meaning the system knows what it is and within what boundaries it is allowed to act.

It knows it is supposed to find leads on its own.

It knows it is supposed to take each one to a mockup, video, and cold message without intervention.

It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging.

→ The system runs 24 hours a day

→ Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue

→ Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day

→ Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads

→ Filmer renders a 10-second vertical video in Higgsfield for each one

→ Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14%

→ Checker runs every message through evals before sending

And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner.

And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call.

Here is what the system writes in his log during 1 of the Saturdays:

"scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser."

"pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer."

"builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield."

"eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review."

He has no server of his own and no separate backend.

Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone.

Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.

[Sam Altman @sama]

i would like to talk to people who have built amazing things with 5.5 that weren't possible with earlier models. i am especially interested in examples that took ludicrous token budgets. thanks.

[Noisy @noisyb0y1]

14-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5.

2 minutes later - a complete brief.

Pasted it into webuil io and just waited while the system built a full website with all pages, reviews and a booking button.

Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time.

Invoice for $1,000. 47 minutes of work from the first search to a closed deal.

Then he built a machine. Outscraper pulls 200 businesses from Google Maps in 10 minutes, ChatGPT 5.5 writes a personalized email for each one with their real business data - 500 emails a day, 3% respond.

Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.

[Polymarket @Polymarket]

NEW: India-born residents have officially become Australia’s largest migrant group, overtaking the English for the first time.

[Watcher.Guru @WatcherGuru]

JUST IN: 🇺🇸 Tether freezes $344 million in $USDT following requests by US law enforcement.

[@aaronjmars @aaronjmars]

holy fuck, a hair dryer at a Paris airport broke Polymarket weather markets & made someone $34,000 richer

- polymarket was settling Paris temperature bets on a single Météo France sensor sitting near the Charles de Gaulle runway perimeter - basically unguarded

- the guy bought the long-shot outcome (like "22°C" when everyone expected 18°C) for pennies, since nobody thought it'd hit

- then he walked up to the probe and briefly heated the air around it with a portable heat source, spiking the reading just long enough to register as the daily max

- temperature snapped back to normal in minutes, the market resolved in his favor, and he cashed out - twice, on April 6 and April 15, before Météo France caught on and filed charges

hyperstitions.

[Bloomberg @business]

Anthropic's Mythos has been accessed by a small group of unauthorized users, raising questions about control of the AI model https://t.co/lXNLHlE1b3

[NIK @ns123abc]

🚨 BREAKING: Anthropic’s Most Dangerous Model Ever Breached By Hackers

> anthropic builds a cyberweapon
> calls it mythos
> “can hack every major OS and browser”
> dario: “we’re the safe & responsible ai lab”
> “can’t release it to the public”
> Mercor (their training contractor) gets breached
> leaks anthropic’s model naming conventions
> hackers guess the URL pattern
> contractor credentials still work
> they’re inside

The group also has access to other unreleased Anthropic models.

Not just Mythos. The whole pipeline.

Anthropic’s statement: “investigating a report of access through one of our third-party vendor environments.”

Mythos got breached on day one 💀