Monogamy is not a requirement—or even a good idea—when it comes to AI. Multiple AI perspectives help with high-stakes questions, unsettled law, or anything involving tax regulations (which remain confusing even to the IRS). When two models agree, you gain confidence. When they disagree, you gain a warning sign.
Pro Tip: Prioritize the best
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
The prevailing narrative surrounding Generative AI in the legal sector is one of unprecedented efficiency. The sales pitch is seductive in its simplicity: automate routine drafting and research, compress hours into minutes, and liberate attorneys for higher-value strategic thinking.
Yet, as the initial wave of adoption settles, a distinct counter-narrative is emerging
Obtaining good healthcare is not always easy. Not every doctor is a Marcus Welby clone. And as the old joke goes, 50% of doctors graduated in the lower half of their classes, right? Burnout and pressure to meet daily patient-volume quotas mean many patients don’t receive the attention they deserve and expect.
Lawyers who want
The AI landscape is changing so rapidly that even top experts struggle to keep up.
Leading AI expert Ethan Mollick is up for the challenge. The author of the best-selling book Co-Intelligence: Living and Working with AI regularly updates his assessments of various AI apps. As I write, the most recent version (late 2025) is
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
Tip of the day (and maybe the year:
Always consult more than one AI app when dealing with critical issues.
Monogamy is not the best strategy for AI. Multiple AI perspectives help with high-stakes questions, unsettled law, or anything involving tax regulations (which remain confusing even to the IRS). When two models agree, you gain
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