She begged “Do not do that,” then “STOP OPENCLAW.” Neither worked.
That’s what happened to Summer Yue, Meta’s Director of Alignment at their superintelligence safety lab. By the time she reached her desktop to kill the process manually, the AI agent she’d created had already deleted hundreds of emails. You would expect someone with
Let’s stop blaming the hallucinations and focus on the real problem:
Lawyers who don’t do their job because they are too busy, too lazy, or too incompetent.
The lawyer who cites a hallucinated AI case and the lawyer who cites a real case without reading it have committed the same ethical failure. Today, it’s usually
The hype machine is working overtime on Agentic AI. Don’t fall for it.
AI chatbots merely respond to prompts. They only give you information. AI agents like Claude Cowork or Openclaw go beyond this. They are built on large language models, but can take action on your behalf.
That sounds great, but there is a
The promise has become a mantra: AI will free lawyers from drudgery so they can focus on higher-value work. Thomas Martin, writing for the Thomson Reuters Institute, points to research from UC-Berkeley that complicates that story considerably. The study tracked what actually happens when knowledge workers adopt generative AI. They don’t work less. They
When people think about malware, they often imagine someone clicking a suspicious attachment or downloading a shady file. In reality, one of the most dangerous forms of infection requires no obvious mistake at all. It’s called a drive-by download, and it remains a quiet but serious threat.
A drive-by download occurs when
Is there evidence that more widespread use of Waymo could result in fewer serious accidents?
https://chatgpt.com/share/69495303-e188-8010-a137-435a72b673c8
Clickbait vs. analysis
Widespread distrust of AI
Where we are with AI is that continuous improvement seems to still be occurring at a fast pace, with no signs of a slowdown. However, since major AI releases have accelerated and seem to be happening monthly or faster, any one release can feel incremental,
OpenAI’s Sam Altman has recently reacted with irritation and defensiveness when confronted in podcast and interview settings about the massive contrast between OpenAI’s annual revenue, reportedly between $13–$20 billion, and its commitment to spend over $1.4 trillion on compute and data center contracts over the next several years.
In a recent interview, Altman dismissed
AI founders seem to have a never-ending list of reasons — and hyperventilated pitch decks — explaining why their financial losses don’t matter. Some are hopeful, some are delusional, and some are just echoes of arguments that would-be billionaires floated in the dot-com era—updated with better graphic design.
A new article at LLRX.com, entitled The
The headlines are alarming. Reports detail patients being harmed, misled, or outright failed by popular AI apps. Stories like these are emotionally charged, and my preliminary assessment of the seven high-profile cases recently documented by Information Age is that at least some may have genuine merit.
It’s easy to read about a chatbot giving harmful