The bones were not natural to him. His mutant power was that he can heal fast, so they operated on him and replace his bones with adamantium. Did I get the lore correct #comic fans? View quoted note →

The AI reasoning model outputs several paragraphs of its "thinking", only to give its final answer in a single short sentence, is me when I answer work emails. #ai

We are all so busy being the main character of our life story, that we forget to be the supporting cast in other people's stories.

I just realised this, on #nostr sometimes your “2 cents” might actually worth 2 cents. I should post more here! #zapatr

51 - Canada 52 - Greenland 53 - Panama And now... 54 - Gaza ? Dude is making bold opening moves. Perhaps this is The Art of the Deal. Let's see how it will play out. #politics

Did #deepseek get high-end Nvidia chips through #singapore The answer is no. But it is crazy to think about the prospect of an actual GPU chip smuggling ring. It is like living in William Gibson / Neal Stephenson #cyberpunk novel.

Hello devs on #nostr Is there a “zap” widget or something that I can place else where, like for example on a blog post I wrote? So that people can “zap” your blogpost? #lightning #asknostr

I’ve been reading NIPs and am thinking of making a #nostr moment. The “a-ha” moment for me is that I don’t need to sign-up to any developer platform for developer API keys and stuff, we can just start. Let’s see how it goes. View quoted note →

Thoughts on local DeepSeek-r1:14b Locally I only have these two models, so I can only compare it to Llama3 (7b). I have an Obsidian AI chat plugin that uses Ollama. I use it to add context to my notes, or to reword certain sentences, or give suggestions on certain things. DeepSeek does feel a bit “smarter” than Llama3. I say “feel” because I don’t really have an objective way to benchmark and measure both of the model. Then again it might no be “apples to apples” comparison. Llama3 is 7b and DeepSeek-r1 is 14b. I am just pleasantly surprise that I could run it comfortably on a MackBook M2 / 16GB RAM. Yes I know that what I’m using is a distilled version of the model and it is not the full model. Yet I feel that it is performing better than Llama. I love reading the <thinking/> part, it is like reading an inner monolog of a LLM 😅 I have yet to try the one online, their server is always busy for me. 🤷‍♂️ #ai #deepseek #ollama View quoted note →

MacBook Pro M2 / 16GB ram can run DeepSeek-r1 14b comfortably. #ai #deepseek #ollama View quoted note →

Trying this out locally. #ai #deepseek #ollama

Self-service Curry Station #breakfast #foodstr #singapore

#book #non-things #plebchain

I guess following hashtag is the best way to discover new accounts to follow, but some hashtags are jus too noisy. Recommend me hash tag to follow #nostr #grownostr

Ah so you can actually follow a hashtag. Interesting. View quoted note →

Since there is no For You algo here in #nostr how do you discover interesting accounts? Other accounts that you don't already follow? For now its when the account I follow repost other account.

My X for you feed is full of rage bait engagement farming posts. Happy to see that there is no algorithm here, I just see people I follow. Suggest me interesting accounts to follow here on #nostr 🙇‍♂️

Next on my reading list. 📚 📙 Live Work Work Work Die: A journey into the savage heart of Silicon Valley. 📓 The Internet Con: How to Seize the Means of Computation. 📘 You Are Not Expected to Understand This: How 26 Lines of Code Changed the World. 📕 Monster: A Tough Love Letter on Taming The Machines That Rule Our Jobs, Lives, and Future. I also have these queued in Kindle 📔 Outrage Machine: How Tech Amplifies Discontent, Disrupts Democracy - And What We Can Do About It. Clearly I’ve been watching too much tech #hopelesscore videos. View quoted note →

Reading about Americans using VPN to access Chinese Social Media. Never would I thought I would see the day. Oh how the tide turns.

First book read in 2025: Non-Things by Byung-Chul Han. We no longer create and cherish meaningful “things”. Instead, we produce and consume data and digital information, what this book refers to as “Non-Things”. We may think that we are doing with data and information as “collecting”, but in reality, we are merely consuming. We are transitioning into a non-materialistic existence, and that might not be a good thing. This is my first Byung-Chul Han book, and it is challenging me to reflect on how “non-things” are quietly replacing all the “things” that has once given life depth and meaning. (And yes, the irony of reading this on a Kindle app on my Hisense Touch isn’t lost on me.)