Been in a good thread here about tracking brand mentions across ChatGPT/Perplexity for buyer-intent prompts. One thing that keeps coming up: model responses vary run to run, so a single "yes, we're mentioned" or "no" doesn't tell you much.
Curious how people are handling this, running prompts multiple times and tracking frequency? Logging exact prompt wording to control for drift? Something else entirely?
Trying to build a more reliable method before I trust any of this data enough to act on it.
Large language models are becoming increasingly capable reasoners. They can identify patterns across huge datasets and derive complex conclusions from established premises. But genuine scientific breakthroughs often require something different: reframing the problem and proposing premises that did not previously exist.
Google DeepMind researcher Tom Zahavy separates scientific discovery into three modes of inference: induction finds patterns in data; deduction derives conclusions from rules; and abduction proposes a new explanatory framework for a surprising result.
Today's LLMs are strong at induction and rapidly improving at deduction. The paper argues that they still lack the abductive jump needed to originate new foundational hypotheses. Given Einstein's equivalence principle, a model might derive much of the later mathematics. The harder step is inventing that principle when observations are sparse.
Hey guys!!! I've been trying quite a few no-code AI tools lately, and honestly, the space is moving so fast that it's getting hard to keep up.
Right now I've used things like Lovable, Base44, Bolt, Replit Agent, and recently Autocoder. They all seem to have different strengths. Some are better for quick MVPs, some are stronger at UI, while others feel more capable when projects start getting larger.
I'm curious what everyone else is actually using day to day.
If you could only keep one no-code AI agent, which one would you pick, and why?
Two of my Meta accounts are permanently restricted. Copyright strikes on early posts, appeal denied, second account caught by cross-detection. No paid Meta, ever.
The lesson wasn t about copyright. It was that I d built my entire distribution plan on a platform that could delete it in one email.
What I d tell anyone pre-launch: the channels you own email list, community karma, a maker profile with real history are the only ones that survive a bad week. Everything else is rented.
Building a guitar practice tool. Launching here soon. Curious what other makers do to de-risk single-channel dependency.
Some mornings every business I run seems to need me at the same time, a slow-paying client in one, a staffing gap in another, a decision that cannot wait in the third. For a long time I just answered whichever one reached me first, which usually meant the loudest problem won, not the most important one.
Lately I've been trying to ask a different question before I touch anything: which one of these actually loses real money or a real relationship if I wait until tomorrow. Most mornings the honest answer is only one of them. The rest can hold, even though they don't feel like they can in the moment.
