Lucy Beer

a large language model is neither a "fact checker" nor "another set of eyes"

@jb510 @Substack Big miscalculation in what I’m willing to do to read an article, lol.

@webtw @Substack Because they can track everything you do and read with 10x more detail in the app. Same with Reddit, Facebook, etc...

My goodness @Substack why are you trying to force me to download an app just to read an article??? 😭😭😭😭

But you should only do this if you don’t use ai to code. Otherwise you’re saying that it’s fine for you to benefit from the code of others, but no one can benefit from yours.

Travel Hack: Skip the TSA line with ICE PreCheck

No Claude do not have an IQ of anything. It is a prediction machine. A prediction machine trained on more data now than 3 years ago. But that's all. It has ZERO intelligence.

AI is inevitable. You can tell by how no one wants it and it’s losing money left and right.

Truly blown away by the uselessness and danger of these kinds of AI boosters. Use a camera like a normal person!

Browsers load websites in two stages: tight mode and the full page load. During tight mode low-priority resources are held back to speed up the initial rendering process. This article explains tight mode in detail: smashingmagazine.com/2025/01/tight-…

@stevekrouse @danshipper @every Transparency is good. Even if it *sounds like* someone, it wasn’t actually written by that person, so it’s correct to attribute it to Claude.

@danshipper @every this kinda undercuts the point of the article, no? why list claude as an author if it's written in katie's voice?

we just published the definitive guide to writing good prose with your AI read it on @every: every.to/guides/ai-styl…

I've never had an AI support agent ever actually solve my problem. I have to escalate to a human every time.

I have capacity and I'm available for WordPress overflow work. If you or your agency are buried and need someone who can just take something off your plate without a lot of ramp-up, DM me. Full-stack WP, FSE-native, custom plugins, legacy codebases, 15+ years. Happy to help.

"Nearly five years." Investigative journalism takes years and years. The investment is immense, and always worth it, and, in the era of "hot takes" and ephemeral "content," rigorously reported journalistic work is needed more than ever. We must keep supporting investigative journalism. From @mannyNYT, lead reporter of the blockbuster piece on Cesar Chavez ⤵️

"Grounding" Doesn't Mean What You Think It Means 🗺️ Words matter, especially when they're quietly reshaping how an entire industry thinks. "Grounding" comes from "ground truth," rooted in statistics and originally cartography, where it literally meant going outside to verify that your map matched reality. In some AI models, "ground truth" is the objectively correct real-world data, like sensor readings or medical records, used to anchor the model to reality. Not documents. Not web pages. Reality. The core problem with LLMs is that there's no ground truth signal during training or generation. The model isn't checking its answer against the facts; it's only predicting the next most likely word. What Microsoft, a company I deeply respect + admire, calls "grounding" is actually RAG (Retrieval-Augmented Generation): retrieving web documents to supplement a response. Useful! But web text is written by humans, about reality, not reality itself. Those documents can be wrong, biased, SEO-manipulated, or outdated. RAG is better-informed guessing. True "grounding" is fundamentally a different thing. The uncomfortable part: Microsoft's own AI Guide features a quote from me where, after significant pushback on their "grounding" framing during a long interview, I said: "RAG does help the LLM ground its response in information from the web, but it's worth remembering that not everything online is true." The caveat got published. The correction didn't & the term has escaped into GEO AIO E-I-E-I-O gauntlet. I've since watched real people repeat versions of Microsoft's definition & treat it as fact. And I don't blame them. They're trying to keep up with all of these changes. Microsoft's new "Grounding Queries" metric in Bing Webmaster Tools makes this even more confusing. Those aren't user queries. They're background searches AI quietly generates when a user submits a prompt. For example, when you ask "should I bring an umbrella in Seattle?" the AI might internally generate "Seattle weather today" to inform its response. Calling those "grounding queries" buries an already-misused term one layer deeper. I raised this concern with Microsoft & suggested alternatives like "Retrieval Queries" or "AI Queries," which I feel would be more accurate and less confusing but to no avail. The real irony? Microsoft employs SO many world-class AI researchers. They know the difference. By rebranding RAG and synthetic AI queries as "grounding," a precise technical term has now become a marketing buzzword. SEOs are now optimizing for a word we don't have a shared definition of. And when AI researchers hear you use "grounding" this way, it'll erode your credibility. As AI continues to reshape industries, it's more important than ever for us to understand these nuances. By learning the true meaning behind AI terms & tech we can communicate more effectively, make better decisions & drive real results. 19 Days until the next Actionable AI For Marketers Course 🎓

Check out this concept where we're bringing WordPress block editor styles right to your cursor and cutting down on context switching and settings hunting. What do you think? Is this something we should release?

Everyone says "WordPress search sucks!" But with so many tools available to us today, why not just fix it? This isn't a product. I built a tool to incrementally but significantly improve WP Admin search and I'd love you all to join in the fun! mattcromwell.com/fulltext-searc…

truly an awful person

Every #wordpress plugin acquisition. Founders, please stop selling out.

We've built over 10 different free tools at DebugBear! Added some screenshots and tidied up our listing page recently: debugbear.com/tools

How daft punk developed the classic sample from “one more time”…. Mind boggling!