EcommerceFlow

I would love to hear exact reasonings behind this hatred of Musk. Not typical talking points, but actual detailed examples.

K-12 needs to absolutely DRILL reading comprehension and mathematics, much more than other subjects. This sets students up for pretty much any major in college. For example, Econ programs rely more on reading comprehension than one might think. The problem is reading comp probably takes years to tune, improve upon, etc. It's not a simple equation you just learn, it's something that comes with years of reading and application.

Im just reluctant to jump to conclusions until I see OpenAi’s next hand.

True on AGI, but I guess I meant a “self improvement” Ai? Whether that exists or is a pipe dream is to be seen, but seems like the goal of most these companies.

GPT4 was released a year ago, and trained two years ago. I wouldn’t sleep on OpenAi, especially how confident Sam Altman sounded in his Lex Friedman podcast.

The real race is to AGI anyways, as whoever gets there first will immediately capture 100% of the market.

I wonder if Cydia would be allowed on the new alternative app marketplace...

Embeddings have a special place in my heart since I learned about them 2 years ago. Working in SEO, it felt like everything finally "clicked" and I understood, on a lower level, how Google search actually works, how they're able to show specific content snippets directly on the search results page, etc. I never found any "SEO Guru" discussing this at all back then (maybe even now?), even though this was complete gold. It explains "topical authority" and gave you clues on how Google itself understands it.

You're thinking of LLMs today. When compute price drops another 99% and these models can re-train almost instantly, that "live data" will be invaluable. This is all coming from a talk I watched from Nvidia's CEO.

I'd say Tesla is the leader or could quickly become the leader given their intense investment in FSD. If a car software can "understand the physical world" using vision Ai / neural nets, it shouldn't be out of the question to reoptimize that software for the rest of the "physical world". Especially when you need a whole lot less safety standards compared to a 3,000lb 70MPH vehicle. Hell, the Optimus engineers said they were considering doing the first demo on a road since the software was so similar lol.

With FSD 12.3.3 released, it's clear FSD is getting smarter and smarter. How many of those releases left until people trust Optimus to fold their laundry? 1.0 Optimius will still be pretty dumb, but could still be worth the price (especially with continuous software upgrades!)

Reminds me of the time I spent HOURS preparing to cheat for a history map test in middle school, didn't pass, and realized later how much easier actually studying for the test would have been.

It’s more so on having live up-to-date data

I think a lot of people are sleeping on Xai for two reasons - Twitter & Tesla FSD data.

I've seen numerous talks recently by Ai leaders discussing how the next level of LLMs have to "understand the physical world" (which tesla FSD is a leader in, see Elon's response to Sora - https://www.news18.com/tech/elon-musk-claims-tesla-has-been-...), along with Twitter being the "town square" of the internet giving them an immense advantage. I wouldn't be surprised if the Twitter API was completely cut off one day.

I don't see amazon killing off Alexa given how incredible it could become with LLMs taking off.

Of course, I'm just thinking of enhancing the user experience. Twitter Blue could just increase the authority score a bit or something, with the main focus still on semantic mapping.

A precursor to this would have been that Linkedin lawsuit Microsoft lost, allowing that one company to scrape all of Linkedin (technically "public information").

This is something I successfully tested last year. I created a new site with thousands and thousands of "long-tail" Ai generated articles, with the thinking being the new SGE would prioritize those articles given the semantic mapping and it kind of worked! On a brand new domain, with brand new indexed articles, I was outranked a few major fishing sites for searches related to specific articles (not exact article title searches fyi).

The rankings started fluctuating afterwards, even with my articles being much more inline to the search query, which means Google probably started turning on some "Pagerank" measurements?

With how current LLMs function, and without those additional "pagerank" checks, who decides which URL appears when someone searches for "Keyboard"? Could be an issue for LLMs without an active "seo authority layer" such as PageRank.