[Iranian here]
Completely agreed. Reminds me of how US banned citizens and businesses in Iran from using cloud infrastructure like AWS or digital ocean, leading to people and businesses moving to the government-sponsored local cloud services, and that made it super easy for the government to block internet access whenever they want without essential services like banking, ecommerce, online taxi booking, food delivery etc being disrupted.
> Anthropic’s AI model, Claude, was reportedly used by the US military in the barrage of strikes as the technology “shortens the kill chain” – meaning the process of target identification through to legal approval and strike launch.
> “The AI machine is making recommendations for what to target, which is actually much quicker in some ways than the speed of thought,” said Craig Jones, a senior lecturer in political geography at Newcastle University and an expert in kill chains. “So you’ve got scale and you’ve got speed, you’re [carrying out the] assassination-style strikes at the same time as you’re decapitating the regime’s ability to respond with all the aerial ballistic missiles. That might have taken days or weeks in historic wars. [Now] you’re doing everything at once.”
I will try it to see if I can finally block the marketing notifications of my banks (!!!) app, traderepublic. I don't want to block all the notifications from this app, but it sends everything in one single channel, so it's not possible to only block marketing ones.
> To enhance our service and offer additional content to users, advertisements will be displayed on the Cover Screen for the Weather, Color, and Daily Board themes.
Author mentions that by doing that they didn't get a high quality response. Adding the texts into model's context make all the information available for it to use.
URLs from my pocket archive (~4200 items) were around 85k tokens, assuming a 2k output token, it would cost me 18 cents to run this via API (o3 model) [1].
After reading this I realized I also have an archive of my pocket account (4200 items), so tried the same prompt with o3, gemini 2.5 pro, and opus 4:
- chatgpt UI didn't allow me to submit the input, saying it's too large. Although it was around 80k tokens, less than o3's 200k context size.
- gemini 2.5 pro: worked fine for personality and interest related parts of the profile, but it failed the age range, job role, location, parental status with incorrect perdictions.
- opus 4: nailed it and did a more impressive job, accurately predicted my base city (amsterdam), age range, relationship status, but didn't include anything about if I'm a parent or not.
Both gemini and opus failed in predicting my role, probably understandably. Although I'm a data scientist, I read a lot about software engineering practices because I like writing software and since I don't have the opportunity at work to do this kind of work, I code for personal projects, so I need to learn a lot about system design, etc. Both models thought I'm a software engineer.
Overall it was a nice experiment. Something I noticed is both models mentioned photography as my main hobby, but if they had access to my youtube watch history, they'd confidently say it's tennis. For topics and interests that we usually watch videos rather than reading articles about, would be interesting to combine the youtube watch history with this pocket archive data (although it would be challenging to get that data).
Not sure yet. Since I'm already paying for readwise, I might use that, but then sharing from inoreader to readwise will be multiple steps instead of the current built in pocket integration I use. I should also make sure I'm keeping a local archive of read and unread stuff just in case.
I'll also contact inoreader to see if they will replace their built-in pocket integration with anything else.
This really hurts. All my content consumption workflow depends on Pocket, I shortlist from my rss reader (inoreader) directly into pocket, then ot gets synced with readwise reader automatically where I listen to the chosen articles [1]. I also use my pocket account's archive as a collection of the articles and writings I have liked (planning to build a personal and simple content recommendation system for myself).
[1] https://saeedesmaili.com/posts/my-content-consumption-workfl...
I've been using Inoreader for a few years now and I'm pretty happy with it. Its reliability and feature set is the right balance for me. I've written about its pros and cons [1], the main pros for me are:
- Very smooth experience between web, android, and iOS apps (I’m mentioning this first, as many other apps I’ve tried are flaky)
- Mark as read while scrolling (Very useful for quickly shortlisting items from the feed. This is probably the main reason I’ve been able to replace Inoreader with social media apps.)
- Rules to auto-delete duplicated items or if the title contains specific words.