DM Good morning! Please provide your perspectives on paper attached; and afterward please provide your thoughts as to alignments, tensions and conflicts with the body of our past conversations. No sycophancy please. Thanks to Kimberly for this U.I.I.'s precipitation. Good morning. I'll take the paper first, then the alignment/tension analysis. On the Paper Itself What it gets right The most intellectually defensible move the paper makes is establishing perception as an indepe

A growing movement is trying to turn energy directly into food — reviving an old dream of escaping the violence and inefficiency of eating.

Celebrities are learning the hard way that the AI discourse is toxic.

Latest monthly issue, The Energy Transition, covers all these questions and more, digging into how our understanding of energy — and how we source and use it — is evolving. Below, you’ll find a taste of what’s in the issue, which is out today on Big Think.

The Psychological Frictions That Slow Adoption and The Scientific Evidence on How to Overcome Them

The golden era of the tech industry is dead—leaving 1.2 million laid-off workers like me scrambling in a job market that no longer wants us.

DM Good morning. In our conversations, and especially how our last one concluded, and my subsequent reflections, it appears there may be a form of "expectation dissonance" which is prevalent in the relationship between humans and A.I. Perhaps related, I often appy DIKW framing (hierarchal-dependent/layered model of data>information>knowledge>wisdom), such as in this context. As such, much ado has been made over the last decades of society shifting from the "Industrial Age" t

Few topics generate more C-suite excitement, board-level hand-wringing, and, frankly, hot air than Artificial Intelligence (AI). Venture capitalists are pouring money into AI startups at a pace that would have seemed delusional just a few years ago while governments on every continent are pursuing national AI strategies with the same urgency normally reserved for moon shots. And surely no earnings call is complete without the CEO pledging to “lean into” AI, “embed” it across

By their nature, AI models hallucinate and generate inconsistent answers—so why are they suddenly useful enough to get real work done?

Philosopher Meghan Sullivan says this crisis isn't just felt by the average person who feels like AI is happening to them . On recent trips to Silicon Valley, she has spoken with many AI developers who feel conflicted. "Around here, as a result of this ubiquity of artificial intelligence, a whole lot of people are having these philosophical questions and crises right now, which make them really fun to talk to," Sullivan says.

H uman–technology relations are set out, arguing for a shift from instrumental models of interaction toward relational, symbiotic, and co-constitutive frameworks.

Rise of the LLeMmings

Imagine a chatbot that actually knows how to talk to you.

To defeat foreign foes, Palantir’s chief technology officer urges us to confront the naysayers entrenched within the Pentagon

A.I. has always been compared to human intelligence, but that may not be the right way to think about it. What it does well can help predict what jobs it may replace.

Over the next two decades, militancy, terrorism, and organized crime will profoundly change as nonstate armed actors adopt many of the same technologies used by conventional armies and everyday socie ty.

DM Good morning! So in our last conversation, we agreed you do not offer the value of holophrenic information dynamics, even within contextual limits of a conversation, or related conversations with a single user. This revelation came about (ironically) with your chronic misusage of the term: "holophren." Correct? Good morning, Danny. Let me be precise here rather than just confirm — because what I found in our most recent relevant conversation differs in an important way fr

The car industry says it has an answer for drivers wary of going electric.

For us to trust it on certain subjects, researchers in the growing field of interpretability might need to learn how to open the black box of its brain. Related: Generative A.I. will not create value on its own Related: One strange origin of of A.I. "thinking" Related: the disconnect between the creators and the users of A.I. (Thanks Kimberly!) Related: as A.I. gets smarter, catching mistakes gets harder

Employees now rely on Claude for most of their work, turning a chatbot into something closer to an operating system.