annjose
Joined 10 years ago
Karma
130
Submissions
61
Member since
Apr 14
annjose.at.hn
View on Hacker NewsRecent submissions
Comment · 13 hours ago
Whoa, what a breath of fresh air! Just watching videos without worrying about clickbait.
And those filters and sorting options - imagine what the internet could have been without enshittification.
Comment · 1 month ago
And on Vercel AI gateway
Comment · 3 months ago
I agree with you - there’s usually some adjustment for sampling bias, and this study says it is matching Census targets. But I had to go three levels down to see that info before I derive any meaning from the number.
My concern is that headlines like “x% of adults do y” get repeated without anyone (sometimes even journalists writing the article) seeing the methodology or nuance behind them. Context matters.
Comment · 3 months ago
I agree it’s very possible subscriptions would become more common if targeted ads were restricted. Personally I’d rather pay money for a good product/service than 'being the product' for a bad product that monetizes my data.
Comment · 3 months ago
Whenever I see a claim that "x% of adults do y", my brain goes:
- "x% of what? what is the denominator?". Without that number, the claim is meaningless. - surely it cannot be the entire population, so it has to be a survey. - how many people participated in the survey? what was the distribution?
Here is that info for this study. I found this in the PDF version of the study report [0] referred to at the end of the Northwestern page [1].
> Methodology The Harris Poll conducted a total of 4,375 online interviews among the general U.S. adult (18+) population between January 5th and January 21st, 2026. Included in this overall total is a sample of 816 High-Net-Worth individuals (those with total household investable assets, excluding pensions, retirement plans and property, greater than $1,000,000).
[0] https://filecache.mediaroom.com/mr5mr_nwmutual/179168/2026%2...
[1] https://news.northwesternmutual.com/planning-and-progress-st...
Comment · 3 months ago
Apparently it is Language Model, as mentioned in the announcement of NotebookLM in 2023 [0].
> Today we’re beginning to roll out Project Tailwind with its new name: NotebookLM, an experimental offering from Google Labs. It’s our endeavor to reimagine what notetaking software might look like if you designed it from scratch knowing that you would have a powerful language model at its core: hence the LM.
It's funny how similar that article's intro is to today's announcement.
[0] https://blog.google/innovation-and-ai/technology/ai/notebook...
Comment · 3 months ago
"they can still make money, albeit less, serving non-targeted ads."
- would they be able to make as much as they do now? I think it would be significantly less.
From Meta's official Financial Report for 2025 [0]:
Total Revenue: $200,966 Million
-Advertising: $196,175 million (97.6%)
-Other rev: $ 4,791 Million ( 2.4%)
[0] https://investor.atmeta.com/investor-news/press-release-deta...
Comment · 3 months ago
Unlike most articles that butcher an analogy so badly that you wish they could have just described the concept plainly, this one uses the analogy really well. It carries it from start to finish without overstretching it.
This line captures the essence of the article and is going to stick with me forever:
> SaaS is the bread, not the bread machine.
And yes, SaaS companies that understand that they sell convenience and accountability will be the ones that survive this AI rush. New ones could emerge too.
Comment · 3 months ago
The Jevon's Paradox. And it is not a paradox :-)
Comment · 4 months ago
Such a great read! I kept on nodding and chuckling the whole time reading it. I can see myself as the founder, especially 'spending time in the oven forums' lol.
I went to the /blog route to see other posts by the author, but alas, there is only this one! And that's a gem.
Comment · 4 months ago
Good work! I am hopeful for a social network that is not craving to increase engagement and going viral. I posted a sample but and created a profile.
But when I went to the Docs tab in my profile, it says...
Doc Not Found The doc "how-to-use-pieces" could not be found
Comment · 4 months ago
Not sure of any out-of-the-box tool. But Anthropic has a token count API which gives a near estimate of the input tokens for messages [1].
So this API can be used in a UserPromptSubmit hook [2] in the harness, get the token count for any model, calculate the cost and compare.
[1] https://platform.claude.com/docs/en/build-with-claude/token-...
Comment · 4 months ago
Thanks for the note.
While building the context bundle, there is a tool that detect gaps in the timeline. So when you ask 'kitchen renovation', and there are emails from 2019 and 2023, the tool flags these gaps and the LLM is made aware of it. So Memento asks which of these clusters you want to track as a project.
Later while generating the wiki, LLM handles conflicts and facts that evolved over time because it has the timestamp of the messages. So it shows that in the narrative.
Wwat we haven't implemented yet is to update the wiki when new emails arrive. That is the next one in our backlog.