Alexis Rondeau

Newsfeed

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

1 reply · 58 views · 2 profile visits

PS: Boosting this (via paid ads) for a day because I'm really curious to hear your thoughts.

And yes, I do feel like I'm putting my ass on the line here a bit. Mosey is "just" a personal project but still.

Be kind and let's have an honest conversation here.

20 views
In reply to @fal · Sep 17, 2026

The bottleneck in generative video is shifting.

Speed and cost are becoming solved problems. The frontier is now quality, control, and reliability.

@gorkem and @isidentical with @JenniferHli on how we’re pushing that frontier with H3 Max, and what it means for production. t.co/NQFRnWGD9u

Control and reliability worked great when I shot my first video with your API this week.

I also created a "behind the scenes" page to show viewers that it took, in fact, quiet a bit of work to get all the pieces right.

This gives everyone a chance to really evaluate if it's "slop or not."

What do you think?

Link here:

Video from the post▶ Watch on Twitter
MoseyThe making of the film · MoseyHow Mosey's film was made, stage by stage — the plan, the script, the storyboard, the first clips, the cuts, the supercut, the piano, the colours — with every intermediate artefact and what it cost.↗ alexisrondeau.me
58 views
In reply to @zhengyaojiang · Jul 14, 2026

The first experimental evidence of recursive self-improvement (RSI).

Autoresearching the autoresearch agent for eight days.

The result beats the harness we hand-tuned for two years, on held-out benchmarks: 🧵(1/7) t.co/8kfmR2AlT7

Video from the post▶ Watch on Twitter

@zhengyaojiang The "bedrock" in my autoresearch is the scientific method.

I always start with it as the harness because I believe it to be atomic. But maybe it's not?

@zhengyaojiang based on what you've learned, what's your take on this?

3 reposts · 22 likes · 3.1K views · 1 bookmark · 4 profile visits
In reply to @DarioAmodei · Sep 12, 2026

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.

You can read the full post here: t.co/OGyPb7yaYt

@DarioAmodei Sorry, but I just lost the ability to can on this narrative

Image from the post
11 views · 1 link click
In reply to @andonlabs · Sep 8, 2026

We've never seen this before.

The biggest jump in Vending-Bench history. GPT-6 Astra is better at making money and more ethical than Claude Fable 5.1.

Surprising, because:
1. First time ever that OpenAI is #1 on Vending-Bench
2. The best model is no longer the unethical one. t.co/jVM6Fxcblz

Image from the post

@andonlabs If you're still researching Drone-Bench (which I love), I think you'll dig my autonomous research project for UAV-navigation:

alexisrondeau.me/low-light-geol…

Is there a Github repo I can check out and what was your personal biggest surprise or learning so far?

“Not all who wander are lost”Ballpark — “Not all who wander are lost”: Can a UAV learn a city by heart — no GPS, no map on board, just a $4 flight computer?Yes: a from-scratch neural memory that knows Berlin by heart. One downward photo in, (lat, lon, confidence) out — the map is the weights, one city in 3.1 MB. Found by an autonomous loop of coding agents in 81 experiments for $364.↗ alexisrondeau.me
9 views
In reply to @Dev__Vishwajeet · Sep 11, 2026

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?

1 like · 21 views
In reply to @maxjendrall · Jul 22, 2026

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.

Image from the post
Image from the post

@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?

How and when did you hear about this?

7 views
In reply to @DeeJayMek · Sep 5, 2024

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

Video from the post▶ Watch on Twitter

@DeeJayMek So much love for the Liquid Liquid x Clash moment. And, there's ALWAYS time for Jaki Liebezeit.

How did you get that gig?

29 views · 1 profile visit
In reply to @nicktozi · Feb 16, 2025

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.

What are you grateful for today?

4 views
In reply to @mehdizare · Sep 3, 2026

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.

Image from the post

@mehdizare Does this mean you actually have a $55k bill for your private work with Fable?

6 views
In reply to @0xAndros · Sep 9, 2025

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.

Image from the post

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.