@SinguBack @d06h0201 @jimmy_wales This is not Christian humility

some free career advice, for anyone new-ish in industry: never take corporate threats hurled by corporate cronies seriously. the most common tactic used is threats of turning "everyone" against you if you don't "comply", saying things like "reputation risk" and "getting

I am actually the lead and corresponding author on the most cited research paper of this person's career. Someone told me that today, and I verified it. The claim that her work has had any substantial effect on breast cancer is a dramatic overstatement. Like much of what’s

Sam Altman says Slack has many positives, but it creates endless fake work We need an AI-native productivity suite to replace docs, slides, email, and Slack Not add-on features, but trusted agents that handle work and only escalate when needed This finally feels within reach

In the middle ages, intelligence WAS knowledge. It was redefined as problem solving when knowledge started to be recorded in books. The advent of AI tools will lead to another shift in what we call intelligence. We don't know yet what we will call intelligence in few years.

Prediction: Assassination markets are real and already exist but they’re not going to be explicit assassination markets they’re going to be implicit assassination markets.

Your job as a founder isn’t to build a product. Your job is to build the aisle people walk down to buy it. Qualtrics didn’t “make surveys better.” They changed the category to Experience Management and pricing went from $50k to $3mil per deal Same tool. Different category.

When we began applying diffusion to language in my lab at Stanford, many doubted it could work. That research became Mercury diffusion LLM: 10X faster, more efficient, and now the foundation of @_inception_ai. Proud to raise $50M with support from top investors.

"... Loops, conditionals, and error handling can be done with familiar code patterns rather than chaining individual tool calls ..." This is why I was asking for types for MCP tool outputs; I lost count of how many times I was laughed in my face (and cannot even imagine how

An M.I.T. study found that 95% of companies that had invested in A.I. tools were seeing zero return. It jibes with the emerging idea that generative A.I., “in its current incarnation, simply isn’t all it’s been cracked up to be,” @JohnCassidy writes.

It’s weird that before LLMs, it wasn’t even widely speculated that high-dimensional vectors encode Concepts, and the geometry of their relative positions encodes Meaning, in full generality. You’d think it’d have been a candidate hypothesis that was widely given 30% probability.