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Dave 🚀
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Dave 🚀
@privgpt_com
Private AI that Security approved! Chat with your company docs (OneDrive/SharePoint/Google Docs) on PrivGPT 🚀 🔥AI with logging, auditing, policies for SMB
Pale Blue Dot Katılım Ocak 2025
757 Takip Edilen1.6K Takipçiler
Anthropic reportedly leaked 512,000 lines of Claude Code source code yesterday, and what followed over the next 12 hours was wild.
At 4 AM, Anthropic pushed an update to npm that accidentally included a 60 MB debugging file containing their entire codebase. Just 23 minutes later, researcher Chaofan Shou spotted it, downloaded the zip, and posted about it on X. Within 6 hours, the post had reached 3 million views. By the time Anthropic’s team woke up, the code had already been forked more than 41,000 times across GitHub. Anthropic began issuing DMCA takedowns, but by then it was too late.
One of the people who jumped on it was Korean developer Sigrid Jin, Claude Code’s biggest power user. According to The Wall Street Journal, he burned through 25 billion tokens last year. After reading the leaked code, he rewrote the entire thing in Python in just 8 hours. That repo reached 30,000 stars faster than any GitHub project in history. Then he rewrote it again in Rust, and that version now has 49,000 stars.
Meanwhile, someone mirrored the code to a decentralized platform with a single message: “will never be taken down.” In other words, the code is permanent, and Anthropic cannot get it back.
The part I cannot stop thinking about is this: Anthropic had built something called “Undercover Mode,” a feature designed specifically to stop Claude from accidentally leaking internal secrets. They shipped an anti-leak system inside their own product, then leaked their own source code in a .map file. The irony is brutal.
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Happy anniversary to this app.
Thank you for bringing us all together @jack
jack@jack
five words. 20 years. unfinished.
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Love that I can now build a blockbuster app in 30 minutes, only for it to be disrupted in 3 months when the brain-computer singularity happens and the world implodes and we’re lying in vats of fluid, orbiting a distant nebula.
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Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving.
Dead.
Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.”
This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it.
For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint.
That entire layer is gone.
Ellison: “We don’t write the procedure. We declare our intent.”
That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable.
And now the machine does it without being asked twice.
Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.”
You are no longer paid to build. You are paid to think.
And most organizations have no idea how to evaluate that.
The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds.
When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down.
The debate is over.
The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone.
The programmers who survive are the ones who realize the craft is no longer typing.
It is architecture. It is judgment. It is knowing what to build and why.
Everything else now belongs to the machine.
And the machine does not negotiate severance.
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When your drug dealer is complaining about how much you spend on drugs! 🙃
sunny madra@sundeep
“If your $500K engineer isn’t burning at least $250K in tokens, something is wrong.”
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This is good advice if you’re making $3 million net profit per employee like NVDA is
sunny madra@sundeep
“If your $500K engineer isn’t burning at least $250K in tokens, something is wrong.”
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The biggest problem with AI in business today isn’t technological. It’s narrative.
Too often, AI is sold as a “partner”, a “personality”, something more than a tool.
But companies do not need a relationship with a chatbot.
They need outcomes.
Less searching.
Less guessing.
Fewer bad decisions.
More accurate answers.
Faster access to knowledge.
More control over information.
AI does not need to be “someone”.
It needs to work well, work safely, and be accountable.
That is exactly why we built PrivGPT.
No fairy tale about emotional bonds with a model.
Just a tool that helps companies reach the right knowledge faster, with permissions, sources, and full auditability.
No magic.
No anthropomorphism.
No pretending that “AI native transformation” will solve organizational problems by itself.
What matters is usage.
What matters is value.
What matters is results.
Our model is simple:
If people use it and it delivers value, you pay.
If they do not, you do not.
That is what AI in business should look like.
Less fairy tale. More accountability.
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Introducing Durable.
The first AI business builder that replaces your 9-5 income.
RT + comment “Durable” and we'll build your business for FREE.
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