Tech companies thought that AI coding tools would let them cut engineering teams and build software faster and cheaper. Instead, AI-generated code created new problems with reliability, security, and maintenance. Today, we’ll discuss why Big Tech is secretly rehiring the same software engineers that were supposed to be replaced by AI
Last year, Microsoft announced its Majorana quantum computing chip, which supposedly used topological qubits to make calculations. The problem was that the paper published alongside the announcement didn’t show any evidence for those claims. Now they’ve announced a new quantum chip. Is it any better this time?. Let’s take a look.
In June 2026, Microsoft CEO Satya Nadella took the stage in San Francisco at Build 2026 and unleashed a series of announcements so massive that the entire tech market reeled. The company had quietly spent roughly $190 billion in capital expenditures building data centers across the planet, buying custom chips, and wiring up infrastructure for a world that runs on AI — and Wall Street punished them for it, sending Microsoft stock down nearly 24 percent in the first half of the year, the worst stretch since the dot-com crash. The keynote revealed four bombshells: Scout, an always-on autopilot AI agent that lives
YOU NEED TO BE AWARE OF THESE DEVICES!:
Common Penetration Testing Hardware
• Long-Range Wi-Fi Adapters: Models like the Alfa AWUS036NEH or AWUS036NHA support monitor mode and packet injection, which are essential for wireless network auditing in Kali Linux.
• Software-Defined Radio (SDR): Devices like RTL-SDR blog dongles let you capture, analyze, and inspect local radio frequency signals.
• RFID/NFC Cloners: Tools like the Flipper Zero or Proxmark3 allow for reading, saving, and duplicating 125kHz and 13.56MHz RFID/NFC credentials.
• BadUSB / Rubber Ducky Devices: Programmable USB keystroke injection tools simulate a human keyboard to rapidly execute automated scripts upon plugging into a machine.
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