Everything I publish, in the order I published it: dispatches from Twitter, videos from YouTube and notes from my vault, archived here in full — text, images, video and links — so they outlive the platforms.
857 dispatches since March 2014 · page 2 of 35
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Shannon's surprisal needs a friend called "explicability" or "responsibility."
As in: "Oh this solution is surprisingly novel. Can you please walk me through it over a cup of tea?"
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
At this point, I think Anthropic is intentionally hyping AI fear. So that government can intervene and regulate and kill the competition for Anthropic.
Remember Anthropic already hate OpenSource LLMs t.co/Dyxx4wAjf4
@Dev__Vishwajeet The side-effect of hyping AI fear by shipping these extreme narratives is that it disrupts and destabilizes individuals and in consequence communities.
How is this different from state-sponsored propaganda?
pssst people haven't realised that OpenAI literally just rolled out a 15gb RAM 9 core VM in ChatGPT to ALL their paid customers with ChatGPT Work.
Non technical people now have remote machines available for their agents with enough resources to do most economically valuable work in that machine.
It has its own browser, can install packages and do a whole lot of things.
And this is not even the reason why Codex is growing so much right now! We'll see an ever sharper rise when more people realise what they can access now.
no need for a dedicated server / vps for most people now.
@maxjendrall Wait, this is super interesting. So it's remote, right? Can't be local, obviously.
Basically every ChatGPT Work customer's assistant gets its own laptop?
DJing for The Stone Roses last ever Irish show in Belfast. I played this gig with a broken wrist 🚑 Sound system ruled. Last 2 minutes of set⬇️
Kurtis Blow // Liquid Liquid // The Clash // Can // Talking Heads // Incredible Bongo Band // Ian Dury // Information Society // Hashim t.co/YQtYOP1zlD
AI * web3 hack week coming to Lisbon 🇵🇹. If you're a hacker and think AI should be open source and decentralised, this one is for you: t.co/OPZ1ayHJC7t.co/SWKQnPi03o
@charlesworthjc Joe! Using your post here as an excuse to just say hi.
How are you doing? Where are you at these days? And how's life with your lovely family?
If you're waking up this morning grateful for another day...
You've already won, friend.
My life hack for this: a little golf counter, the clicker kind. I got a fancy one in silver and I carry it with me. When people say "count your blessings" I took that literally.
A few times a day I stop and ask what I could be thankful for, then click. Nice coffee, click, thank you. Easily 20-30 a day, from the mundane to the very high-spirited.
Today so far: my lovely mechanical keyboard, the guy who just delivered groceries, green tea.
Claude shipped Fable 5.1. The feed will treat that as the model you should use now.
I looked at my own usage. The list-price meter was about $56k in 30 days. Memberships made it about $800. That is the gap the labs are selling: sticker vs seat.
I still use cheap or free models for rewrites and first drafts. OpenCode plus DeepSeek covers a lot of that. I save the expensive slow model for a long agent run, the same way I would not hire a specialist for a sore throat.
If the job is simple, use the simple tool.
@mehdizare Does this mean you actually have a $55k bill for your private work with Fable?
crazy that X open-sourced their algo. i spent last night studying it and here are the main takeaways for viral posts:
1. Early, strong in-network engagement. Your followers are your first gatekeepers. Rapid likes, retweets, and replies in the first minutes signal quality. This helps you break out of your followers (also means you should definitely reply to comments)
2. High-quality engagement signals. The algorithm prioritizes high dwell time, sustained video watch time, and deep thread reads. Avoid anything that leads to quick bounces. Your content needs to be genuinely satisfying.
3. Good social proximity. Who engages with you matters. Tweets from authors close to you in RealGraph, or liked by your close contacts, get a significant boost. Strong local social proof is a powerful amplifier. Interactions from highly connected followers definitely help as well
4. Topic and cluster relevance at scale. For out-of-network reach, your content needs to align with large, active SimClusters (broad topics/communities). Niche tags won't get you broad distribution. This is where researching trending topics becomes critical. Original content also does MUCH better than retweets or replies
5. Freshness and sustained momentum. Recent tweets with ongoing engagement are heavily favored. The algorithm tracks "last engagement since creation" - it wants content that keeps generating interest over time, not just a one-off spike. Consistency is key.
Oh, this is really interesting. Glad I just found it again in my bookmarks.
Though: this is from September 2025, so it's about a year old now.
Have you kept monitoring it since? Would love to know which of these five still hold exactly as written, and which ones have quietly moved on you.
@kshvyaps Been doing this for a year. Actual thought per reply, no slop, because slop insults the reader's intelligence.
Result: basically no followers. And I'm paying for the privilege. Being conscientious as a new account works against you, apparently. Not cool. Really. NOT COOL.
@kshvyaps 100 replies a day, otherwise your reputation gets lowered. That's insane.So my actual question: how does everyone do this? Other than pointing an AI at it and cranking out slop.And if that IS how it's done, then is all of it just slop?