JimsonYang

as someone who works does marketing, "first time?"

People paying UGC creators to have ads is nothing new. Posting en masse to fool the algo is, but there's alwasy been bot farms.

And before that there's still the trick of getting published by a low rated news org, then letting journalist at a more reputable organization let them know of this trending news. And so on til you end up in the NYT. FYI this works even when you actually bought placement for those low quality placements

On the upside, the product/service needs to be good if you want to gain traction AND staying power. Psyops are cheap tricks, if your product sucks, then there's no word of mouth and you can't scale regardless of how many reviews you botted.

Drake,Katseye, etc. aren't doing doing well becuase they're doing cheap marketing techniques, they're doing well b/c they have a loyal audience and make good music.

You never realize the beauty of just learning cool stuff in college and exploring around until youre like 26 and graduated for 4 years

I think ai has revealed one of the biggest gaps in our education system: the majority of students don’t really care about knowledge-even when tested on it.

To give an example, I have a friend who learned system design through Claude in order to get a job interview (and he got really good at system design)while I have another friend who copies and paste ChatGPT responses in order to get a B on a reflection assignment.

This highlights that there is legit use case for personalized learning and growth via AI-but these are the people who seek knowledge with or without AI. Whereas the majority of students actively tries to do the least as possible on assignments even if they get 0 value out of it

as a user of the digg revival(another social network that died but had good backing), i'm highly skeptical of the new approaches of 'anti-reddit/botting/addictive design'

the reason being I don't think people address the supply side of the equation: why should I an individual contribute to your ecosystem of content? I personally left digg because there wasn't any new content and I wasn't getting enough satisfaction with the current engagement? Ironic right? Any new subreddits also suffer from this same problem, little engagement until a threashold is crossed-1k members,5k members,etc it depends on the community. To get to their is extremely hard and it would make more sense to go to an existing ecosystem like X, LinkedIn, Reddit,Instagram etc

plz don't take this as criticism of the idea, but rather the blind spot that I've seen many times with these new social media sites.

I find these kinds of blog very poor and foster extremist thinking allowing little nuance and context-while pointing to biased sources to prove their point.

Regarding the Claude leak, it seems the summary of the point is “Claude steals creative work from people via training data. Copywriting strikes have been used to oppress people. Anthropic is not a morally good company because of an implicated missle strike in Gaza, so it’s a good thing something happens to a big tech company”

The writer feels does not adress the complex legal definition of copyright and AI. And this feels like a politically charged piece rather than a fair critique of Claude’s leak

Do b2b sales 1) identify best architectural/construction firms near you

2) buy donuts/other bribes and give it to them for free to raise brand awareness

3)send them an email or call them

4)close like 5-10% of deals

5) listen to feedback and iterate your product and sales motion

If I’m not wrong a lot of the email gateways have died because people would spam

help me understand this. This guy is dropshipping glp-1's from a company that has a network(?) of trusted vendors which they get from the big pharma companies. And now he's doing the dropshipping thing of building a brand

I'm highly suspicious of these revenue claims because how is he doing any of the marketing? Tiktok bans you if you post ugc content saying anything about peptides. FB doesn't allow medicine to be marketed nor does google. If he's dropshipping how is he doing the marketing?

To be fair, if the meta verse did succeed, it would've been an amazing play.They were the only serious tech company in the space, they own oculus, and has many of years in the space. I'm sure it was justified with, if this works(20% chance=> trillions of dollars, infinite shareholder value). If this didn't, we ONLY lost 80BN

Just like how currently google via waymo is the leader in autonomous driving.

FYI you might want to do this via [ask hn] to get a more appropriate response.

Regarding your question, there needs to be more context- specifically why do you need an fde that you can’t do via backend engineer. Palantir was special and it’s incorrect to use broad strokes to apply to every company

So just a poorly ran press event? With no notable difference between an actual bar and the “situation room”.

Honestly was expecting more gambling- disappointed that it turned out to be a press event

"Other surveys suggest less bullying when devices are taken out of the school day."

I'm a little suspicious on this claim, feels very much "phones are the cause of the death of everything in this generation" sort of feel. At least I do not see the link between bullying and being on phones

Being someone who took a month or two to look into mcp servers, I'm geniunely surprised the monetization of mcp servers have not come yet. I was pretty positive as ai agents grow bigger then the need for paid quality servers will surely increase. That said I do understand it's still very early and 99% of people have never heard mcp servers.

My personal take is that mcp servers had very little value outside of info gathering like connecting claude code to supabase to save on token usage. But we'll obv see as the ecosystem develops and people develop new unique servers

Counter point:As a renter, I get faster replies from AI and I don't really mind it, I get the business rational and most of my questions are basic anyways: "what's the pet policy, am I responsible for water and electricity, what's the cost of parking and how many are available".

While the article hints at AI guided tours, I highly doubt that would happen purely to liability or squatting concerns.

Overall the article feels more like a rage piece for anti-ai sentiment rather than a fair constructive criticisms of the prevailing use of AI in the real estate industry

AI makes technical debt so much worse. Speaking from the frontend perspective- reducing technical debt is all about making changeable standardized code. However models change structure, variables names, or changing variables means I'm building a lot of frontend on a shaky foundation. I routinely spend hours a week just fixing weird frontend builds. And as I'm the frontend role, my cofounder doesn't understand design, so I often get messy code

i love how modern phones have a bunch of UX and design to solve extremely mundane problems that we would've never considered

I think that is probably what I'll end up doing. Since the data is text based data. Combined that with the approach of pre analzying quantitative data. To feed to the LLM

I figured I ask this question because there might've been a technique I'm not aware about

ty

short answer it depends and idk. When I was doing some testing with prompts like "what should I have for dinner" adding variations, "hey ai, plz, etc" doesn't deviate intention much. As ai is really good at pulling intent. But obv if you say "i'm on keto what should i have for dinner" it's going to ignore things like "garlic, pesto, and pasta noodles". Although it pulls a similar response to "what's a good keto dinner". From there we really assume the user can know their customers what type of prompts led them to chatgpt. You might've noticed sites asking if you came from chatgpt, i would take that a step further and asked them to type the prompt they used.

But you do bring a good perspective because not all prompts are equal especially with personaliztion. So how do we solve that problem-I'm not sure. I have yet to see anything in the industry. The only thing that came close was when a security focused browser extension started selling data to aeo companies- that's how some companies get "prompt volume data".

you got it perfectly. Taking scraped results and presenting the data to customers. Based on these results, SEO/AEO experts then make suggestions like "write about X" to help you "improve" in the results. Is it part dark magic part truth? probably, but that's the SEO industry

I think the biggest issue in the industry is there's no way to defintiely tell how useful are these converted users or whether performance is drastically better by showing up in chatgpt. Although attribution itself is a difficult issue in the online marketing industry

How third parties query your product: For ChatGPT specifically, they open a headless browser, ask a question, and capture the results like the response and any citations. From there, they extract entities from the response. During onboarding I’m asked who my competitors are and the response is going to be recongized via the entities there. For example, if the query is “what are the best running shoes” and the response is something like “Nike is good, Adidas is okay, and On is expensive,” and my company is On, using my list of compeitotrs entity recognition is used to see which ones appear in the response in which order.

If this weren’t automated, the process would look like this: someone manually reviews each response, pulls out the companies mentioned and their order, and then presents that information.

2) Distribution of queries This is a bit of a dirty secret in the industry (intentional or not): usually what happens is you want to take snapshots and measure them overtime to get distribution. However a lot of tools will run a query once across different AI systems, take the results, and call it done.

Obviously, that isn’t very representative. If you search “best running shoes,” there are many possible answers, and different companies behave differently. What better tools do like Profound is run the same prompt multiple times. From my estimates, Profound runs up to 8 times. This gives a broader snapshot of what tends to show up everyday. You then aggregate those snapshots over time to approximate a distribution.

As a side note: you might argue that running a prompt 8 times isn’t statistically significant, and that’s partially true. However, LLMs tend to regress toward the mean and surface common answers over repeated runs and we found 8 times to be a good indicator- the level of completeness depends on the prompt(i.e. "what should i have for dinner" vs "what are good accounting software for startups", i can touch on that more if you want

oh wow, didn't even noticed that. That's a good catch. sry for having it happening to you. Will be removing the tours

mb, I use reddit a lot more than hn, so that's a complete miss on my end

Thanks for the feedback. To answer your question is: 1) yes, you still need good content as if you're ranking for SEO. However trad seo(i'm shorthanding bcuz i'm lazy) requires you to really to be in the top 5 results. Although this has beeen made worse by google AIO, 0 click answers, and a bunch of other things. For AI SEO you need to be in the top 20-30. Easier-yes but fundamentals like writing good conent is still needed 2) The between trad SEO and AI SEO is that the content you have to create to rank well has changed-often needing multiple pieces to rank well. For instance the prompt "Which AI company has the safest AI models?" has google results show a lot of listing various companies by ranking them safe and least safe-almost promotional content. But if you look at what chatgpt is searching and getting, it's a lot more safety index, reports, and technical information.

There's SEO experts that believe that trad seo and ai seo is the same-that's fair. We're of the group that believe it's pretty much the same, although we're starting to come at an inflection point and it'll change in the future.

To answer your second question: we don't have an icon to give recommended actions. I think that's a mistake we made during planning, where we saw "ai recommended actions" and questioned the validity of them. For instance, it doesn't make sense to edit and change wikipedia becuase that's incredibly hard although a few platforms do recommend that. The idea was that users would improve their keyword research and blog content strategy and we just assist in figuring out what to write for, which we still think is the best approach- however it seems that wasn't very clear. It's different from improving page rank because the strategy has been shifted. Instead of opimizing for the 1st and 2nd result, you're optimizing for topics as a whole and can even appear on the second page of google. If you're saying improving your pagerank via making good content that's unique and high quality-then I fully agree that you need to improve your pagerank

That’s an awesome point. I think it's an aversion on my end to charge a higher price. Partly because it's still a pretty green field so there’s a lot that hasn’t been built yet- features that companies would like to use and we would charge for.

Will we charge a premium in the future? Yeah, but only where we’re confident there’s real ROI and have a great product to back that. For instance, AI attribution in this space is incredibly difficult right now. And in my opinion, without hard numbers (revenue, sign-ups, conversions, etc.), I can’t justify asking for premium pricing.

Maybe I'm thinking about it wrong tho and making excuses for myself, I think you have a good point