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rollinDyno

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joshuagans.substack.com 1y ago

What will AI do to (p)research?

rollinDyno
1pts0
www.nngroup.com 1y ago

How do people read online?

rollinDyno
2pts1
news.ycombinator.com 1y ago

Ask HN: What words do you mute on Twitter / X?

rollinDyno
2pts7
manifoldmarkets.notion.site 2y ago

A New Deal for Manifold

rollinDyno
3pts0
yiqinfu.github.io 3y ago

What is the purpose of political scientists?

rollinDyno
1pts0
twitter.com 3y ago

Elon claims Apple has threatened to deplatform Twitter

rollinDyno
16pts8
news.ycombinator.com 5y ago

Ask HN: What does it mean if lead engineer moves to competition?

rollinDyno
5pts9
www.mmhmm.app 6y ago

Mmhmm: Better Presentations in Zoom

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1pts1
capiche.com 6y ago

Computer Assisted Intuition: How Roam Research fulfills the web's original dream

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2pts0
www.bloomberg.com 6y ago

Coronavirus Will End the Golden Age for College Towns

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3pts0
fivebooks.com 6y ago

The Politics of Information

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3pts1
www.annualreviews.org 6y ago

Machine Learning Methods That Economists Should Know About

rollinDyno
2pts0
www.youtube.com 6y ago

Genetic Diseases to Guide Digital Hacks of the Human Genome

rollinDyno
2pts0
news.ycombinator.com 6y ago

Ask HN: Share your favourite talks on YouTube

rollinDyno
2pts1
developer.samsung.com 6y ago

Samsung Blockchain

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1pts0
www.gov.uk 7y ago

Social media endorsements: UK Gov's guide for influencers

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5pts0
news.ycombinator.com 7y ago

Ask HN: What is your information diet?

rollinDyno
10pts4
techcrunch.com 7y ago

EF Raises $115M to Create 300 More Startups

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1pts0
herman.asia 7y ago

Rules for Choosing Nonfiction Books

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251pts195
qz.com 8y ago

We can train AI to identify good and evil, and then use it to teach us morality

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1pts0
benja.io 9y ago

Benja: Electron Kiosk for IoT

rollinDyno
2pts0

I read the accuracy report and I'm yet to find on what basis is your accuracy score being built on. Is it the number of personas that re-post, like, comment, see, all of the above?

I think you guys might be onto something but I'm still skeptic as to whether you are the most accurate (on whatever metric). It's not surprising that you beat a survey of experts, or straight out of the box commercial LLMs.

I'm more interested in seeing how your model performs against purpose specific models that are currently industry standard. Unless you're making the claim that you're the first service to predict content engagement?

Thanks for sharing! Yes, I quickly came to that conclusion as well. It's put me in the novel position whereby product development is about finding the right prompt, and maybe even about finetuning.

Have you ever wanted to write your life story but found it too overwhelming? I’m developing an app that acts as your personal interviewer, guiding you through your memories and helping you share them with your loved ones.

The app is designed for older adults who enjoy reminiscing but struggle to organize their thoughts into a coherent narrative. The goal is to preserve their hard-won insights and pass them down—to family members who may be too busy to ask the right questions now, and to future generations who would otherwise never hear these stories.

I have a working prototype that allows me to test the interview flow, and I’ll soon be sharing it with friends and family for initial feedback. I’m now looking for a designer to collaborate on the next phase.

Design will be a critical part of this app. The way stories are visually presented will be central to the user experience and will likely determine the app’s success. If you’re a designer interested in this kind of work, I’d love to hear from you. Given the text-heavy nature of the app, experience with typography and content-focused design will be especially valuable.

I recently finished my PhD studies in social sciences. Even though it did not lead me to career improvements as I initially expected, I am happy I had the opportunity to undertake an academic endeavor before LLMs became cheap and ubiquitous.

I bring up my studies because what the author is talking about strikes me as not having been ambitious enough in his thinking. If you prompt current LLMs with your idea and find the generated arguments and reasoning satisfactory, then you aren't really being rigorous or you're not having big enough ideas.

I say this confidently because my studies showed me not only the methods in finding and contrasting evidence around any given issue, but also how much more there is to learn about the universe. So, if you're being rigorous enough to look at implications of your theories, finding datapoints that speak to your conclusions and find that your question has been answered, then your idea is too small for what the state of knowledge is in 2025.

It's worth mentioning that defenders of Prevost in Peru are saying that those allegations were manufactured by his political enemies. Prevost was active in the fight against the Sodalitium, a catholic society with ample accusations of brainwashing and sexual abuse. This society was recently supressed by Bergoglio.

I'm not even interested in verifying if these claims are based on randomly controlled trials when their outcome variables are self-reported imagined impatience and predicted behavior! By now in 2025, psychology studies should be painfully self-aware of the lack of credibility in their instruments, guess not.

Everyone who has been working on RAG is aware of how important source control is. Simply directing your agent to fetch keyword matching documents will lead to inaccurate claims.

The reality is that for now it is not possible to leave the human out of research, so I think the best LLM can only help curate sources and synthesize them, but cannot reliably write sound conclusions.

Edit: this is something elicit.com recognized quite early. But even when I was using it, I was wishing I had more control over the space over which the tool was conducting search.

In his essay, Eco says no instance of fascism will present itself with all items. He starts out by saying that fascism is very hard to define, so the 14 item list is meant to be a soft guide more than an absolute rule book.

I am starting to accept that this is a conversation we are going to be having over and over again, even after Elon and Trump. We are rightly traumatised by the excesses of the past, so it's very easy to imagine that any slight will inevitably lead to full on fascism.

This last qualification of fascism could be key, it differentiates 20th century fascism to what we are seeing today. We don't yet know whether this new form of fascism is just as harmful. For instance, when debating about whether Elon—who meets many of the elements in Eco's list—is a nazi or not, people are having very different conversations. There is no nazi party Elon can be a member of so that's not what I've been interested in. For me it has been more about the possibility of Elon advocating the same extreme policies fascist parties did. We could say he shares some of the worldview as the white supremacists, but would he go as far as implementing a 'final solution' to remedy the diagnosis?

Something I quickly learned while retooling this past week is that it’s preferable not to add opinionated frameworks to the project as they increase the size of the context the model should be aware of. This context will also not likely be available in the training data.

For example, rather than using Plasmo for its browser extension boilerplate and packaging utilities, I’ve chosen to ask the LLM to setup all of that for me as it won’t have any blindspots when tasked with debugging.

I think the other thread did a good job showing you that it's the other way around, people who have been in the industry do not tend to have the imagination people with fresh eyes (and maybe some tech chops) do.

An example I had in mind was when Affleck was speaking of being able to generate the show but with their preferred cast from a different production. He really has no clue that people will be generating themselves and their friends as the main characters of these stories. Like this one, there are many other examples where I thought he was lacking creativity.

Kudos to him for spending time thinking about it but I'm surprised how well received his thoughts have been for just stringing a few ideas together.

That was not the impression I got from his Twitter. He might be able to build stuff but his ability to explain social phenomena is really poor (especially for someone with an economics degree).

I asked because I'm building my own mute list. I realized that I'm spending too much time consuming these news on Twitter and I'd rather stay informed from better quality sources.

The list I have come up with so far is: @AOC, AOC, @KamalaHarris, Harris, Buttigieg, Milei, Putin, @nytimes, Headline, Washington, Governor, Israel, Iran, Conservative, Liberal, New York Times, Kennedy, Socialism, Communism, Musk, Elon, Biden, Obama, Clinton, Primary, GOP, Republican, Democrat, Tankie, Libertarian, Poll, Walz, Kamala, Vance, Trump.

If you are taking any terms from my list (or are already muting them), please do not completely tune out of US politics. It is very valid to decide that the cultural wars going on Twitter/X are purely noise, but it is a big mistake to think that because most loud people can only engage on a gaseous level, then public policies (and by consequence elections) do not matter and are not relevant in your lives.

If the point was the presentation of only the next token, and predicted tokens were a function of only the preceding token, then the vector of the new token wouldn’t have the information to produce new tokens that kept telling the novel.