#linklog — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #linklog, aggregated by home.social.
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"It’s also undeniable that SpaceX needs more than just Starlink to justify a $1.5T valuation, given that even its expected lead investment bank, Morgan Stanley, only thinks Starlink revenues will get to $126B in 2040." -- this is the sharpest thing i've read about the SpaceX IPO yet #linklog
TMF Associates blog » SpaceX’s... -
"We learn what generosity, vanity, or integrity look like by watching them play out in lived situations" -- This lens is more interesting to me lately than "Jane Austen, game theorist" (albeit complementary). Who is writing this kind of applied virtue ethics fiction particularly well today? #linklog
Jane Austen as Applied Moral P... -
I don't know that anyone has ever made a very good UX for sampling from high dimensional joint distributions, but etiquettes can work well in their native equilibria #linklog
"AI" is bad UX -
My weekly collection of cool stuff I've read on the web, Scraps, comes early today. We've got tic-tac-toe made with only CSS (as in, no html 🤯), some thoughts on LLMs, a way we can be better in the indieweb, an amazing in-progress technical reference manual and a whole bunch of other #indieweb #infosec #tech and more stuff to peruse. Some great stuff this week, #humanweb! Thanks for being awesome!
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I've collated a minor fraction of the cool or interesting #indieweb and #infosec stuff that I've seen over the last week into today's edition (#4) of my #linklog - Scraps!
https://fyr.io/scrap/2025-07-11
Featuring a request for content for @xandra for the next edition of the Good Internet Magazine, a fresh RSS guide by @readbeanicecream (who is also down for more indieweb), plus we have some time travel by @bcshort @theadhocracy and the great @kedara_eu, and a bunch more cool stuff.
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I've just posted a quick Scrap, highlighting a select few of the many interesting posts and comments I've seen this week across the #indieweb #fediverse #technology and #infosec spaces
https://fyr.io/scrap/2025-07-04
Feel free to check out some of the links, there's some darn smart people surfing these internet highways. (That's how it works, right?)
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"... a free federated self-hosted single-user bookmarking software for the independent web. Use it to organize bookmarks or maintain a linklog."
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Wonderful nerdy article about screensaver and their history. (via @macsparky)
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“Easier Said Than Done” by Alan Page about growing as an individual contributor in software engineering:
> * Build relationships through small, visible wins.
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> * Invest in understanding your manager’s priorities and challenges.
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> * Leverage your network for insights and alignment. -
Podcast: Bad productivity advice from Chris Baily:
> How to separate good productivity advice from bad.- Rules of 3: Pick three things from your task list you wish to accomplish by the end of the day.
- Time tracking
- Time blocking -
Blogged:
Weeknote 2024 W10
Keeping the weeknote as bucket of stuff approach #powerplatform #NHS #LinkLog
https://www.synesthesia.co.uk/note/2024/03/07/weeknote-2024-w10/ -
Me apunto para revisar Dark Visitors, una página web que enumera agentes de usuario relacionados con scrapers y bots que se dedican a robar contenido de páginas web para alimentar inteligencias artificiales. En la lista completa se muestran agentes como Bytespider, el de TikTok, o GPTBot, el agente principal usado por OpenAI.
A través de Hacker News también leo a Cory proponiendo bloquear este tipo de bots metiéndolos en el robots.txt. En algunas de mis webs ya tengo bloqueados algunos bots en el robots.txt, pero esta lista me servirá para ponerla al día. Sin embargo, me pregunto cuál de estas soluciones es realmente más efectiva.
Por un lado, podríamos poner este tipo de bots en el robots.txt y asumir que lo van a respetar. robots.txt es un sistema de honor. Realmente no hay nada que impida a un bot ignorar el robots.txt e igualmente hacer scrapping de la página web para extraer su contenido.
Pero a la vez, por el otro, optaría por una solución que asuma que el bot va a ser malévolo y va a ignorar una petición de no escaneo del sitio web. Para esas situaciones, se podría optar por banear la IP del sitio web a nivel firewall. Esta es una solución que tengo implementada en mi servidor, por ejemplo, para algunos productos de inteligencia artificial que sí enumeran las direcciones IP que usan para hacer el escaneo. OpenAI las enumera, por ejemplo.
Por último, otra opción que se me ocurre es tirar por la vía de la confusión. Detectar en el servidor web cuándo una petición procede de un user-agent asociado a un bot, y en vez de servir un HTTP 403 o de tirar abajo la conexión mediante el firewall, servir en su lugar otra página web diferente con el código HTTP 200, para que el bot lo interprete como una página correcta, pero servir información falsa para contaminar el dataset. Estoy pensando en una página en blanco que tenga un par de frases como «los cerdos vuelan y las vacas dan chocolate», pero podría proponer burradas más grandes que puedan hacer daño.
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Neuer Blogpost: AI links, human notes #3
Lesedauer 2 Minuten
My bookmark list keeps growing. For this blog series, I spare you the tech books and tutorial videos I’m spending most of my time with and focusing on the broader picture. Let me know in the comments (or by answering this post on the fediverse) how you like my selection.
Text:
- Meta plans AI chatbots in their networks. Not much longer and we won’t know if the person we’re chatting with online is human or virtual.
- Researchers at Carnegie Mellon University use machine learning to „see“ people by analyzing wifi signals. Yes, this technology can turn your home wifi router into a camera system. I find this fascinating and terrifying at the same time.
- Is AI coming for our jobs? Hollywood actors went on strike because Hollywood studios consider using AI replicas of them – for free. Ouch.
- It looks like chatGPT can recognize faces but if you ignore that, then mulöti-modal LLMs are real game changers for blind people.
- Bill Gates wrote a blog post about the risks of AI and says he is confident that they are manageable.
- btw, OpenAI assumes they’re en route to AGI (Artificial General Intelligence) and outlined principles on how to approach it.
- Too much doom? No worries, the world economic forum thinks AI will give us with long term job growth.
- … unless… Goldman Sachs is right. They predict 300m jobs loss.
- How smart are AI systems actually? It may be surprising, but this is hard to say because we lack a solid definition we can all agree on. So, let’s read up on the question of how we would know how smart they are.
- Students (and lawyers) everywhere wonder „Can anyone tell that I asked chatGPT to write my thing?“. The short answer is „probably„.
Podcast & Videos:
- Maybe the most inspiring use of AI I have heard so far: The Earth Species Project is a non-profit dedicated to using AI to decode non-human communication. Yes, that means using AI to talk with animals. Here’s a podcast explaining more.
- Writers are worried about the use of AI as well, specifically, the fact that their texts are being used to train AIs. The podcast „The Daily“ has more context.
- I don’t like the hyperbole of calling this video podcast an emergency episode. However, this conversation with Mo Gawdat about the direction AI is taking is still interesting and thought-provoking.
- Yuval Harari is probably one of the smartest thinkers we have and gave a keynote lecture called „AI and the future of humanity“ that is well worth your time.
#ai #english #linklog #studylog
https://taeglichkeiten.kopfstim.me/?p=562
Achtung:Direkt auf den Post gegebene Antworten tauchen evtl. auch als Kommentar im verlinkten Blogpost auf.
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Neuer Blogpost: AI links, human notes #2
Lesedauer 3 Minuten
Well, it’s been a while since my last AI centric link list. Let’s add some recent reads and watches to your todo list.
Text:
- Brave just released an API for their SearchEngine with an emphasis on it’s use in training AI. It is a bit surprising given the privacy and security centric ethos of the Brave ecosystem.
- [Paper] On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
- [Paper] Language Models are Few-Shot Learners
- [Paper] Smaller Language Models are Better Black-box Machine-Generated Text Detectors
- Well, this is very old for everyone in the field but maybe new to you… The paper that gave birth to modern large language models is already 8 years old and still a read worthy your time: Attention Is All You Need
- This paper is a bit much for you? No worries: Here is an article walking you through all key ideas behind chatGPT, Bard & Co.
- Eliezer Yudkowsky is convinced that AI will kill us all. Normally we would ignore him but it turns out he’s a very accomplished scientist who kinda knows what he’s talking about.
- There is quite the number of scientists who warn about the risks of AI. Some may make you feel like you’re living in the end times (looking at you, Eliezer Yudkowsky). If you’re looking for a balanced view on some of their argument then Paul Christianos post „Where I agree and disagree with Eliezer“ is a highly recommended read.
- The case for how and why AI might kill us all – I think the title says it all… And, yes, it is Eliezer again.
- A little less panicky but not any less concerning is this piece in MIT Technology Review explaining why Geoffrey Hinton, one of the fathers of modern AI, decided to leave Google so he can tell us why he’s now scared of his creation.
- Even if you don’t believe that it is quite as dangerous there are still plenty of issues. Governments for instance realize these days that AI is far far ahead of current laws and regulations. So politics is playing catch up, and Europe announces to spin up an AI research hub to apply accountability rules.
- Not depressed already? Good. ars technica tells you all about „The mounting human and environmental costs of generative AI„. That might do the trick.
- Math is your cocaine? You’ll be thrilled to browse through this blog post explaining the math related to computation and memory usage for transformers. You’re welcome.
Videos:
- Yes, 67 minutes is not exactly short. But I watched it anyhow and then I shared it with everyone I knew. But be warned: you’ll be worried afterwards. It talks you through parallels between the current AI revolution and the events when we introduced social media. Then it walks you through AI in general and how the situation today relates to society, politics and the moment we find ourselves in. Scary stuff. The A.I. Dilemma
- So you want to know how to build your own GPT? Here are 2 hours that take you through the entire process from start to finish.
- Eliezer Yudkowsky is a very respected scientist who truly beliefs that AI will kill us all. His belief comes from years of study and understanding that it is a very hard problem. This 90 minute lecture he gave 6 years ago at Standford University explains why.
- Another lecture, this time from Robert Miles. In about 18 minutes he walks you though the subject of AI safety.
- Lex Friedman talks for his podcast with high caliber thinkers such as the philosopher Sam Harris. Here you find the 20 minute cut-out where they speak about AI specifically.
Image: Midjourney
#ai #english #linklog #studylog
https://taeglichkeiten.kopfstim.me/?p=535
Achtung:Direkt auf den Post gegebene Antworten tauchen evtl. auch als Kommentar im verlinkten Blogpost auf.