Dakarda AI Newsletter · 8 July 2026
Wednesday Edition
466 million lines and AI in space
Alberta (Canada) proved that agentic AI can scan 466 million lines of government code in 20 hours. At the same time, DeepSeek began designing its own chip, and startup Starcloud is sending data centers into orbit. This isn't the future – it's happening now.
Intro · Alex
Do you know what a Canadian provincial government, a Chinese AI startup, and low Earth orbit have in common? This week, all of them made a decision that changes the rules of the AI game. Alberta launched 50 Claude agents to scan hundreds of millions of lines of code – and found vulnerabilities that human auditors would have missed for years. DeepSeek, OpenAI's most formidable rival, is preparing to cut the umbilical cord tying it to NVIDIA. And startup Starcloud wants to move AI computing into space – because solar power is available 24/7 there. In today's edition, I've traced five events that show AI is entering an infrastructure-level scaling phase. It's no longer just about which model has a better benchmark score – but about where and on what these models actually run. Plus a handful of cyber news (fake PoCs on GitHub and a backdoor in Tenda routers) and a tip of the day that could save your projects from a costly mistake.
What's worth knowing
Alberta government scans 466 MLN lines of code with Claude in 20 hours
The Canadian province of Alberta used Claude Code with Opus and Sonnet models to audit the security of 466 million lines of government code. The team ran approximately 50 AI agents in parallel – the whole thing took 20 hours. This is the largest documented case of agentic AI in public cybersecurity. Alberta also published technical white papers for other governments.
DeepSeek designs its own AI chip – ending dependence on NVIDIA
Chinese startup DeepSeek, creator of the R1 model, is reportedly developing a custom AI chip to break free from NVIDIA processors and bypass US export restrictions. It joins Apple, Broadcom, and Google in designing its own accelerators. If DeepSeek builds its own chip, it could completely sever ties with the US supply chain.
Starcloud sends AI data centers into orbit – the race for space infrastructure
Startup Starcloud is building data centers in low Earth orbit, powered by uninterrupted solar energy. Meanwhile, Orbital has filed an FCC request to launch 100,000 satellites as AI data centers with 10 GW capacity, and NVIDIA introduced a chip platform adapted for satellites. The industry has concluded it's more cost-effective to process data in orbit than to stream it down to Earth.
Anthropic extends free access to Claude Fable 5 – until July 12
Anthropic announced an extension of free access to its flagship Claude Fable 5 model for all paid plan users until July 12. After that date, the model will switch to token-based billing. This signals that Anthropic is testing a mass adoption strategy – giving the world a taste of its most powerful model before moving to a more expensive payment formula.
Broadcom and Apple extend custom AI ASIC deal until 2031
Broadcom announced an extension of its agreement with Apple for custom ASIC chips until 2031. The deal includes next-generation AI server chips that Apple plans to deploy starting in 2027. This is further evidence that custom ASICs are becoming the standard in AI, and Apple doesn't want to rely solely on NVIDIA, Intel, or Qualcomm.
From the tech world
ChocoPoC RAT – fake PoC repositories on GitHub target security researchers
Attackers are publishing fake repositories on GitHub with PoC code for popular CVEs. Hidden in Python dependencies, the ChocoPoC malware steals passwords, cookies, and files, then provides attackers with a shell on the victim's machine. Lesson: never run PoCs from GitHub without verifying dependencies.
Hidden admin account in Tenda routers – backdoor CVE-2026-11405
CERT/CC warns about an undocumented 'rzadmin' administrative account with a hardcoded password in Tenda router firmware. The backdoor completely bypasses the login process. If you have a Tenda router – immediately check if the manufacturer has released a patch.
Tip of the day
How to test agentic AI without the risk of costly oversight
Seeing how Alberta scanned 466 million lines of code with Claude agents, you might think: 'great, I'll do that too.' And rightly so – but the key lesson from this deployment isn't the scale, it's the validation of results. The Alberta team didn't launch agents and walk away. They had a verification loop: each found vulnerability was confirmed by a second agent, then reviewed by a human. Without that, you'd get hundreds of false positives. A practical step you can take right now: before you let AI agents loose on your production code, run a test on a small repository (e.g., 10,000 lines). Launch 2-3 agents in parallel, give each different validation instructions, and have them compile results into a report. Measure not only how many they found, but how many were genuine alerts. Only once your True Positive Rate exceeds 80% – scale it to the entire codebase.
Tool of the issue
Claude Code – agentic code auditor that processes hundreds of millions of lines
Claude Code is a tool from Anthropic that runs AI agents (using Opus and Sonnet models) for code analysis, auditing, and refactoring at massive scale. It proved itself in a government environment with 466 million lines – but it works for smaller projects too.
Reading list
Alberta government uses Claude to strengthen cybersecurity
The full deployment story – how the Canadian province configured 50 agents, what white papers it published, and what this means for other governments. Required reading if you're planning agentic AI in your organization.
DeepSeek looks to reduce reliance on Nvidia with own AI chip
Analysis of DeepSeek's move – what it means for AI geopolitics, how it will impact the chip market, and why this is the biggest challenge for NVIDIA since the GPU boom for model training.
AI is no longer about choosing a model – it's about infrastructure, sovereignty, and where you can even put a server.
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