AndrewAzlan retweeted
The guy who the entire media is platforming as a brilliant whistleblower is claiming that rationalists have “specialized minds” that make them correct. Mind you we’re talking about people in a doomsday cult who love eugenics
AndrewAzlan retweeted
Breaking: Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slow growth ahead of IPOs
Below are his reasonings:
1. LLMs are not AI and won't be AGI. There is nothing AI to slow down.
2. Competition is coming up fast, slowing benefits incumbents.
3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery
4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out
AndrewAzlan retweeted
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
AndrewAzlan retweeted

Mike Hudema@MikeHudemaAug 7
🇨🇦!
CanadaConnected via Canada App StoreLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
This whirlpool can power 300 homes, and fish can swim straight through it unharmed.
We have the solutions. Implement them. #ActOnClimate
#climate #energy #renewables #go100re
AndrewAzlan retweeted

Sawyer Merritt@SawyerMerrittAug 4
🇺🇸!
United StatesConnected via United States App StoreLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Hughesnet CEO in 2020 on SpaceX's @Starlink: "The economics are not going to be a big advantage for Starlink. In fact, it's going to make our offerings much more attractive."
Hughesnet in 2026: Files for bankruptcy
AndrewAzlan retweeted
As someone who has gone through this process, it is shameful to see what is happening
It will break up families. It will ruin people's careers. Shame on the US government and its xenophobic people
AndrewAzlan retweeted
Army veteran Brendan Jones rescued his dog from ISIS territory over a decade ago. Now, 11-year-old Lucy sits in an animal shelter after authorities removed her from the family's farm over a neighbor dispute.
'We're hoping that her life is bookended by miracles. One to get her here, to save her from the Islamic State, and one to get her out of the hands of our own state,' the heartbroken family said.
AndrewAzlan retweeted
🚨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.
GITHUB JUST CREATED AN OFFICIAL CERTIFICATION FOR THE MOST IN-DEMAND DEVELOPER ROLE OF 2026.
It is called Agentic AI Developer.
GH-600.
And it is the first formal signal that running AI agent teams is now a recognized engineering discipline with a credential behind it.
Not a prompt engineer.
Not a vibe coder.
An Agentic AI Developer.
The person who operates, supervises, and integrates AI agents across the entire software development lifecycle.
The person who knows where agents fail in production.
The person who understands how to build autonomous workflows that do not introduce catastrophic failure modes into CI/CD pipelines.
The person every engineering team is going to need and almost none of them have right now.
GitHub certifying this role changes the hiring conversation permanently.
Before GH-600: "Do you work with AI agents?" is an interview question with no standard answer.
After GH-600: the credential tells the hiring manager exactly what you know and what you can do before the interview starts.
The engineers who get certified in the first wave of GH-600 will have a credential for a role that has more demand than supply for the next 3 to 5 years.
The engineers who wait until it is mainstream will be competing with everyone who moved first.
If you are already working with GitHub Copilot or building agent-driven workflows you are already doing this job.
GH-600 is how you prove it.
Bookmark this.
Follow @cyrilXBT for every AI certification worth your time the moment it drops.
We’re introducing a new GitHub Certified: Agentic AI Developer (GH-600).
As AI agents become part of modern development workflows, this role-based certification focuses on how developers and teams operate, supervise, and integrate agents across the SDLC.
If you’re already working with tools like GitHub Copilot or exploring agent-driven workflows, we’d love your input.
Learn more and get involved. msft.it/6013vRHHZ
AndrewAzlan retweeted
We've discovered two critical (10.0) flaws in the popular Spinnaker continuous delivery platform. Both allow attackers to execute arbitrary code and steal production source control and cloud credentials.
Check out our blog post for more information.
AndrewAzlan retweeted
🚨BREAKING: ANTHROPIC IS GIVING AWAY THE SAME CERTIFICATION THAT DELOITTE IS MASS-TRAINING 15,000 EMPLOYEES TO GET.
It costs $0. You need a laptop. That's it.
It's called the "Claude Certified Architect."
Think of it like the AWS cert but for AI.
If you were around when AWS certs started, you know what happened. They went from "cool to have" to "you're not getting hired without one." That took about 5 years.
This is going to happen way faster.
Look at who's already moving:
Accenture - training 30,000 people on Claude
Cognizant - rolled it out to 350,000 employees
Deloitte - opened Claude access to 470,000 people
Infosys - anchor partner
These aren't startups experimenting. These are billion dollar consulting firms restructuring their entire workforce around Claude.
And the certification they need? You can take it right now from your bedroom.
Let me be real though. This is not one of those "watch 2 videos and get a badge" type certs that nobody respects.
This thing is hard.
60 questions. 2 hours. Proctored. Webcam on. No breaks. No googling.
They drop you into real scenarios like designing a customer support agent that handles refunds or setting up Claude in a CI/CD pipeline. The wrong answers look right on purpose. They're the exact mistakes real engineers make in production.
720 out of 1000 to pass.
People who took it are saying the agentic architecture and multi-agent orchestration sections are brutal.
Most of the exam is about building AI systems that actually work in the real world. Not prompting. Not chatting with Claude. Architecting production systems.
All the prep? Free. Anthropic put out 13 courses on their Academy. No paywall. The cert itself is free for the first 5,000 people. After that $99 per attempt.
How to get it:
1. Join the Claude Partner Network (free) → partnerportal.anthropic.com
2. Start the free prep courses → anthropic.com/learn
3. Register for the exam → anthropic.skilljar.com
4. Take the official practice exam
5. Book the real one when you're ready
It launched 10 days ago. Almost nobody has it yet.
That's the whole point. Get it before it becomes the thing everyone has.
AndrewAzlan retweeted
Claude Code will probably make 50,000 people millionaires, not because it's magic, but because most developers won't learn it properly.
We've compiled every resource you need: 4 courses, 7 GitHub repos, 6 YouTube tutorials, and more.
Sign up for The Code newsletter
AndrewAzlan retweeted
Quick #BugBountytip
If you're poking around a Windows IIS server
there's a default file you can use to check for SSRF or LFI: C:\inetpub\wwwroot\iisstart.png
Just throw this in: foo?url=file:///C:/inetpub/wwwroot/iisstart.png.
If it pops, you might've struck gold! 💥
AndrewAzlan retweeted
How CamXploit Works
CamXploit is a Camera Exploitation & Exposure Scanner designed for security researchers and ethical hackers. It helps detect open or vulnerable CCTV/IP cameras on the internet or local networks.
AndrewAzlan retweeted
Learning Path: API testing
In this learning path, you'll learn:
🔸 How to find undocumented or unused API endpoints
🔸 Techniques to discover hidden parameters
🔸 How to test for mass assignment and SSPP
🔸 Methods to prevent vulnerabilities in APIs
Start the API Testing Learning Path now: portswigger.net/web-security…



































