The Ambition Effect
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 An
You said:
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 confidence.
It’s scary out there. Ethan Mollick is on the mark:
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
There’s lots of big talk about the best approach to improving access to justice for self-represented litigants. Dennis Kennedy is not big on theory and bloviation. His most recent article on this topic is available for free republishing in favor of cheap, practical, and effective approaches.
Dennis ran several prompts below through Gemini, with good
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 advice and immediately conclude