Why structured deduction stabilizes engineering performance under complex constraints.
Why structured deduction stabilizes engineering performance under complex constraints.
But then users start to report a weird bug. It's the 4th time your team has been trying to fix it. I mean... asking AI to fix it. Unfortunately, it seems like not even Fable can figure it out.
You go talk to the person who worked on this feature.
"So where does the data come from?"
"Hmm... actually I don't know. Let me ask Claude."
You sit next to each other watching an endless wall of text appear on the screen. Neither of you has any idea whether any of it is true but Claude seems very confident. [...]
This project has become so convoluted, with so many layers and services, that no one on your team could possibly start to understand what's going on.
— Florian Herrengt, AI is removing the middle class of software engineering
Tags: ai-misuse, cognitive-debt, generative-ai, ai, llms, ai-assisted-programming
Vibe coding is useful for discovery, but software engineering starts when generated code has to be reviewed, owned, operated, and safely changed.
Federal authorities are offering a reward of up to $10 million for information leading to the identification or location of a Russian state cyber group that has compromised thousands of Signal and WhatsApp accounts belonging to investigative reporters and US government employees.
The operation has been active since at least March, when the FBI published an advisory warning of ongoing phishing campaigns targeting high-value targets by attackers associated with Russian intelligence services. Messages masquerading as automated support communications ask that users click a link or provide verification codes or account passcodes. In the event the user complies, they unknowingly link the attacker's device to their account or have their account completely taken over and are locked out.
This is like saying there's no learning curve to being a manager because your employees will just do whatever you tell them to do.
— Timothy B. Lee, on the idea that LLMs take no skill and have no learning curve
Tags: llms, ai, generative-ai