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
Multiple reputable sources are reporting that OpenAI CEO Sam Altman recently told employees—via a leaked internal memo—that Google’s newest advances in AI could “create some temporary economic headwinds” for OpenAI, even as he tried to reassure staff that the company is “catching up fast” and remains well-positioned for the long run.
Altman’s message reportedly acknowledged that
The relentless, frenetic excitement surrounding Artificial Intelligence feels familiar. For anyone who remembers the turn of the millennium, it’s a clear echo of the dot-com bubble, a time of speculation about a new technology completely detached from business fundamentals.
Back then, optimism for an internet-driven economy sent stock prices for companies like AOL to astronomical
We’re all busy, right? I get it. It’s all about knowing what to prioritize.
If you want (or need) thoughtful analysis of AI developments, MIT Sloan Management Review is one of the best places to invest a little time. A case in point: their October 7 article titled, “Cut Through GenAI Confusion: Eight Definitive Reads.”
ABA Formal Opinion 512 provides welcome guidance on ethical obligations for lawyers, demanding competence in understanding AI’s benefits and risks (Model Rule 1.1), diligence in protecting client confidentiality (Model Rule 1.6), clarity in client communications (Model Rule 1.4), candor toward tribunals (Model Rule 3.3), effective supervision of AI use (Model Rules 5.1, 5.3), and reasonableness