@DurhamGayn45505 The Planning category is a game changer, It helped me map out my next 5 years with total clarity.
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100F.exe
880 posts
100F.exe
@100F_exe
Stop doing manual work. build systems. let AI scale everything.
Beigetreten Ocak 2022
326 Folgt394 Follower
@100F_exe Looks like a handy way to explore Claude's capabilities.
Which category has helped you most so far?
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Anthropic just dropped a prompt library for Claude.
There are 19 categories to choose from, from prototyping and testing to debugging and design. Just pick what you need and the site gives you ready-to-use prompts.
Under every prompt, there’s a Why this works section that breaks down why the prompt works and how to write your own.
🔥 Basically, it’s a free crash course in prompt engineering.
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@thearslaniqbal I don’t think so. Just start and keep digging into it you’ll pick up the skills as you go 💪
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@100F_exe Most people will copy prompts but still not understand how to adapt them.
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THIS GUY CAN SCAN AN ENTIRE BUILDING BEFORE HE EVEN WALKS INSIDE.
Not with a drone.
Not with blueprints.
Just satellite imagery and AI.
He taps a building on the map.
Seconds later…
The software estimates the number of floors.
Finds possible entrances.
Measures the building.
Highlights blind spots.
Builds a tactical overview before anyone steps through the front door.
He isn’t looking for ways in.
He’s looking for what everyone else missed.
That’s exactly how great bug hunters think.
They don’t attack systems.
They map them.
They reduce unknowns.
Then they look for the one assumption everyone trusted.
I built that same reconnaissance mindset into a Claude bug hunting workflow.
Full guide below.
kiosa@thegreatest_sv
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A 20-year-old reportedly built an AI speed detection radar in 9 days and sold it to a district government for $317,000.
His setup was almost absurdly simple.
$20 in Claude API spend, an old camera and a balcony facing the intersection downstairs.
The camera watched the road while Claude processed the traffic in real time. Cars, motorcycles and pedestrians were identified, tracked and measured as they moved through the intersection.
Five minutes later, the system had reportedly detected 653 objects.
The ones above the speed limit were flagged automatically.
The bigger unlock was not just detection. It was evidence generation.
Instead of a traditional radar snapping one blurry photo, the system captured video, clipped the speeding event, read the license plate and prepared the case without human review in the loop.
That is why the government cared.
A normal radar produces a snapshot. This produced a full workflow: detect the violation, capture the proof, identify the vehicle and generate the follow-up.
He reportedly walked into the district office with a USB drive, asked for ten minutes and walked out with a contract.
The story sounds extreme, but the direction is very real.
AI is turning cameras into automated workflow engines.
Not just watching.
Acting.
Secta@0xSecta
A group of Chinese students reportedly turned 7 used Mac Minis into a dorm-room AI financial firm. Total hardware cost: $1,600. They bought the Mac Minis on eBay, connected them over Ethernet and used the cluster to run an AI-powered finance workflow from their university dorm. Their first client used to pay a financial advisor $8,400 per year. The students charged $240 per year to handle the same type of work with AI. The setup was simple. Claude reads 10-K reports in seconds, builds asset allocation models, runs tax optimization scenarios and creates retirement planning projections. The Mac Mini cluster becomes the local compute layer, while the actual product is a cheaper, faster advisory workflow. That is the part worth paying attention to. A traditional advisor managing a $500K portfolio can charge thousands per year mostly for access, reporting and allocation guidance. The student version attacks that cost structure with automation, fixed workflows and a much lower subscription price. Month one: 8 clients. Month two: 20 clients, all from word of mouth. The real story is not that 7 Mac Minis replaced Wall Street. It is that small teams can now package expert workflows into cheap AI-native services and sell them directly. One-time hardware cost. Recurring software revenue. Dorm room fintech.
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FABLE 5 IS BACK AND IT JUST BUILT A CINEMATIC 3D GLOBE WHILE SONNET 5 BUILT A WIREFRAME IN SPACE
Same prompt. Same dataset. 70 airports. 435 real flight routes pulled straight from FlightRadar. One task: turn all of it into a cinematic 3D globe inside a single HTML file. Two models. Two very different planets.
Outputs:
Sonnet 5: 9.8k tokens, $0.10
Fable 5: 15k tokens, $0.77
Sonnet 5 shipped it cheap and fast. But the planet barely exists. A dark wireframe with the arcs floating in space like ghosts. It works. It just does not look like Earth.
Fable 5 built an actual planet. Textured oceans. Ice caps. Atmospheric glow at the edges. The routes arc smoothly across the surface. It looks like something NASA would put on a screen. 87% more expensive but a completely different class of output.
Sonnet 5 is the budget ticket. Fable 5 is the upgrade that makes you lean forward in your seat. The gap is not about intelligence. It is about craft.
Mythos class models are the masterpiece tier. And Fable 5 just reminded everyone why it belongs there.
Docs, guides, and setup below. Bookmark this.
Claude@claudeai
Fable 5 is back.
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@rvaniaaaa The cheapest model is the one that finishes the task, not the one with the lowest token price.
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Claude Sonnet 5 is 60% cheaper than Opus. That doesn’t automatically make it the cheaper model.
For everyday work, Sonnet 5 is becoming hard to beat. It now matches or outperforms Opus on many knowledge tasks while costing significantly less per token.
The equation changes on complex projects. If Opus solves a difficult refactor in one pass while Sonnet needs multiple iterations, longer conversations and repeated fixes, the more expensive model can still end up using fewer tokens overall.
That’s why experienced teams probably won’t replace Opus. They’ll route work instead.
Routine coding. Research. Summaries. Automation.
> Sonnet 5.
Large refactors. Agentic coding. Complex architecture. Long-running tasks.
> Opus.
The cheapest model isn’t the one with the lowest price.
It’s the one that gets the job done with the fewest retries, the fewest tokens and the least amount of your time.
That’s how AI stacks are starting to evolve: cheaper models handle volume, frontier models handle complexity.
Bookmark this.
rvaniaaa@rvaniaaaa
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@Damir_Akaza The older I get, the more Munger sounds like operating system documentation for life.
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Charlie Munger could have been dozens of times richer, like Buffett with his $120 billion, but deliberately gave away almost all his Berkshire shares to charity, keeping just $2.6 billion for himself
in front of law graduates he laid out the rules he lived his life by
"the safest way to get what you want is to deserve what you want. deliver to the world what you'd buy if you were on the other side of the deal"
"I constantly see people rise in life who aren't the smartest and not even the most diligent, but they're learning machines. they go to bed a little wiser than when they woke up"
"I'm not entitled to an opinion unless I can state the arguments against my position better than the people who defend it"
and when asked what reliably ruins a life, his answer is simple: sloth and unreliability
bookmark it and watch today ↓
Damir Akaza@Damir_Akaza
Lloyd Blankfein, then CEO of Goldman Sachs, caught the first signal of the 2008 crisis in a movie theater in 2007, scrolling through the firm's P&L on his BlackBerry Goldman came through the crisis intact because it prepared ahead of time. he started cutting risk back in 2007, before others grasped the scale "we were good traders, but really what we were were contingency planners. you're trying to see what can't be seen. what you're actually doing is just preparing" his risk managers had real power over the traders, and positions were marked honestly to market, even when it hurt their own "I don't care what you think is going to happen. I don't care what I think is going to happen. I want to know what could happen even at low probability, and what we're doing to protect ourselves" watch to the end to find out how Lloyd caught the first signal and why preparing for the impossible became his credo ↓
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@Bober_smart Bloomberg never sold data. He sold an information advantage.
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Michael Bloomberg for 60 Minutes
Interviewer: Michael, many call your terminal "the machine that made you a billionaire." What was the real secret? You were just selling data, weren't you?
Bloomberg: People make a mistake when they think we were just selling numbers. We were selling confidence in decision-making amidst chaos. At a time when almost no one had computers, I took a gamble on an idea that everyone thought would fail: that market information should be instantly accessible on a computer screen.
Interviewer: But there were giants in the market who controlled everything. How did you manage to push them aside?
Bloomberg: Giants are usually lazy and slow. If you have to compete based on the size of your capital, the giant will always win. But if you compete on intelligence, agility, and the desire to provide more for less, a small company always has the advantage. We didn't ask our clients to settle for "less" - we simply gave them exactly what they needed, even if they hadn't realized that need themselves yet.
Interviewer: Many young entrepreneurs today are afraid to start because of the fear of failure. What would you say to them?
Bloomberg: If you’ve never failed and never felt fear, you’re simply not dreaming big enough. Entrepreneurship is about having the vision to do something great without a clear roadmap, but with the drive and the willpower to make it work.
The Bloomberg Terminal used to be a luxury, but now it is available for free.
Bober_smart@Bober_smart
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@gmi_cloud Fable looks like the Ferrari of animation models. Amazing until you see the bill.
GIF
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Claude Fable 5 totally crushed our July 4th animation contest, but it cost nearly 8x more than Opus 4.8, and GLM 5.2 is the cheapest!
We gave Fable 5. Sonnet 5, Opus 4.8, and GLM 5.2 the same tasks to test their motion graphic and animation outputs in celebration of Independence Day.
Prompts:
1. Recreate our previous retro video, but replace "Fable 5" with an American flag and "250"
2. First-person POV from a firework rocket launching into the sky, exploding into a red, white, and blue burst, and revealing a waving American flag with text
Outputs (Test 1 / Test 2):
Fable 5: 9:22 ($3.32) / 8:54 ($13.32)
Sonnet 5: 15:25 ($1.22) / 12:25 ($2.93)
Opus 4.8: 11:29 ($1.43) / 4:12 ($1.75)
GLM 5.2: 12:02 ($0.75) / 13:12 ($0.95)
Fable 5 gave the absolute best visual output for the complex firework sequence, nailing the entire narrative from the POV launch to the final text. It was also the fastest for the first test, though it remains incredibly expensive. Sonnet 5 surprised us with great animation skills on the first test, successfully rendering the flag. Opus 4.8 was the fastest in the second test, rendering in just over 4 minutes, while GLM 5.2 didn't win any scene but was the cheapest by far. Fable is the best pick for quality.
Claude@claudeai
Fable 5 is back.
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This is the information everyone is keeping quiet about; they want you to pay for it
Nathan Rothschild famously said, "Who has the information, has the world"
Bloomberg - $0
This is not just software; it is the infrastructure that ensures the transparency and connectivity of global financial markets
It is the only way to stay one step ahead. It is your key to market dominance
While they see you as competition, at the link below, I have described a free way to always stay one step ahead
Bober_smart@Bober_smart
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A guy makes ~$10,000/month testing security systems for major grocery chains.
He walks into a supermarket with the director’s approval and blends in like any other customer. Except he is not looking at the shelves. He is looking for the small failures everyone assumes are already handled.
Emergency communication. Alert workflows. Response chains. Tiny broken processes customers never see.
One report. One payment. A few weeks later, the problems are gone.
I built the software version of that mindset with Claude Fable 5.
Not “ask one question, get one answer.”
I mean giving Claude a full goal, a workspace, files, tests, and a definition of done — then letting it inspect, fix, verify, and keep going until the job is actually finished.
That is the real shift.
The new skill is not prompting.
It is delegation: clear brief, clear finish line, enough context, and a hard stop condition.
Read the full guide below.
Insomnia@insomnia_vip
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@Rezzi_sol This is starting to sound less like gambling and more like signal processing.
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A 24-year-old programmer reportedly made $18,000 in one month with an autonomous AI that finds live betting odds errors.
The stack was built with $0 using free APIs and Windsurf IDE.
The interesting part is not that it “predicts sports.”
It is that it looks for moments where the live odds are slower than the actual game state.
The system works in two layers.
The first layer uses computer vision to track the ball and every player in real time. It converts the match into a 2D field view, measures spacing, defensive blocks, pressure, exposed flanks and tactical shifts as they happen.
The second layer runs the logic.
AI agents combine the visual data with a SoccerPitchConfiguration class that understands real field dimensions. When the system detects tactical disorganization, like a team getting pinned back or leaving space open, it checks whether the live odds have already adjusted.
If the odds are still mispriced, the system flags the edge before the market catches up.
That is the real shift.
The edge is not just “better prediction.” It is faster interpretation of live events, combined with automatic comparison against market pricing.
Humans watch the game.
The agent reads the structure.
That is why autonomous AI systems are dangerous in live markets. They can process movement, field geometry, tactical context and odds changes at a speed no manual bettor can match.
This is not betting intuition.
It is computer vision plus execution speed.
Live odds get hunted.
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This is the story of a high school student who didn’t spend the GTA 6 wait rewatching trailers like everyone else.
Instead, he studied the FiveM marketplace, spotted what server owners actually pay for, and started building scripts before the demand wave even arrives.
A smart example of using hype as a business opportunity instead of just consuming it
Frogik@Frogiik
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@Rezzi_sol Yeah, it’s beautiful, but in a few years the whole sky’s gonna be one giant billboard for rich corporations 😁. That’s when it’ll stop being fun.
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🇺🇸 America's 250th birthday celebration is already lighting up the sky.
A stunning air show featuring 2,500 drones transformed the night over North Richland Hills, Texas, with massive images of a rocket, a bald eagle, and George Washington.
The patriotic display, created by Sky Elements Drone Shows, gave local families an early look at the celebrations leading up to the 250th anniversary of the signing of the Declaration of Independence.
Gunther Eagleman™@GuntherEagleman
🚨 TEXAS DOES AMERICA 250 RIGHT, 2,500 DRONES LIGHT UP THE SKY OVER DFW! Everything’s bigger in Texas, including Fourth of July celebrations. North Richland Hills put on an epic drone show with 2,500 drones forming Uncle Sam, a massive red, white, and blue eagle, plus pyrotechnics for extra flair. Iconic American imagery lighting up the night. This is how you honor 250 years of freedom. Texas knows how to celebrate the greatest country on Earth! God bless Texas and God bless America!
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