Creative & Visual Media
Ostris shared a tutorial on training a modern ControlNet using Flux.2 klein 4b in AI Toolkit, covering image-to-sketch and sketch-to-image generation.
Tutorial: How to Train a ControlNet in AI Toolkit
In this tutorial we train a modern controlnet using Flux.2 klein 4b. We train an image to sketch generator and a sketch to image generator. Links and more in 🧵 pic.twitter.com/LGxf2lYdjF
— Ostris (@ostrisai) March 4, 2026
Javi Lopez announced collaboration with Bytedance’s Seedance 2.0 to address video generation moderation issues and UX problems like aspect ratio changes with reference images, while emphasizing the need for character abstractions including LoRAs, multi-angle details, voice, and expressions for consistency.
Good news is: I'm "working" (for free) with Seedance 2.0 to fix the moderation problem and stop the nerfed experience.
I'm doing this for the glory of Generative AI.
If you have feedback that can help Bytedance improve their models, leave a comment. pic.twitter.com/sJmHXf4raZ
— Javi Lopez ⛩️ (@javilopen) March 4, 2026
Telepathy, I was thinking on that yesterday.
We really need a REAL abstraction layer for characters:
– Character in detailed from lot of angles, equivalent to 3d
– His/her/ voice
– His usual expressions would be nice too 🙂That will be the real consistency finally solved
— Javi Lopez ⛩️ (@javilopen) March 4, 2026
It seems they've forgiven me for my videos of Will fighting against spaghetti monsters 🤣🤣🤣
— Javi Lopez ⛩️ (@javilopen) March 4, 2026
I'm sending them examples of the prompts that get wrongly moderated and some UX/UI experience that is wrong: for example when you add a reference image the aspect ration output of the video will change and match it wrongly, etc.
— Javi Lopez ⛩️ (@javilopen) March 4, 2026
Heather Cooper discussed effective prompting in image generation, noting that in a 78-word prompt, not all words contribute equally—distinguishing between building elements and ignored ones separates prompting from directing.
This image was generated with a 78-word prompt.
Not all of those words mattered equally. Some built the image, and some were completely ignored.
Knowing the difference is what separates prompting from directing 🧵 pic.twitter.com/SsJyEQ50VU
— Heather Cooper (@HBCoop_) March 4, 2026
She also showcased a “villain arc” image generated via Grok Imagine.
Good morning villain arc. @grok Imagine pic.twitter.com/2Z0ZKx59Kh
— Heather Cooper (@HBCoop_) March 4, 2026
Cristóbal Valenzuela advocated for AI creative worlds that prioritize niche, surprising elements one degree off from familiarity, like rare shapes, rather than vast spatial simulations.
The most common reflex when speaking about building creative worlds with AI is to think of something that resembles a spatial space, a video game, or some fictional fantastical science fiction story. I think that is a failure of imagination. worlds should be thought more in the… https://t.co/4kfxAIsa9B
— Cristóbal Valenzuela (@c_valenzuelab) March 4, 2026
Fofr experimented with prompts for mysterious lost footage stills and accidental thumbnails.
> A still from a reel of lost video footage, it had been lost for years, it's mysterious. Not a negative. No date stamp or written text or camera or film perforations. The still has just been paused. No screen visible. pic.twitter.com/5e7w9jMu1M
— fofr (@fofrAI) March 4, 2026
When you accidentally send the thumbnail to the printers pic.twitter.com/8L9zcVJiIZ
— fofr (@fofrAI) March 4, 2026
AIWarper shared multiple tests of Kling 3.0 Motion Control, highlighting its professional Mocap-level motion control and character consistency via attached “elements.”
https://twitter.com/i/status/2029276498960711885
When you're just trying to get home after Mardi Gras and you run into Shia 😮💨
Another Kling Motion Control 3.0 AI test.
If there's interest, I can show exactly how to make this
(it's legit just NB PRO → Kling), but I try to cater to all experience levels.Let me know 👇 pic.twitter.com/z6VYRS7zpW
— A.I.Warper (@AIWarper) March 4, 2026
They noted it feels state-of-the-art for video generation workflows like NB PRO to Kling, and expressed interest in extending short clips into stories.
oooooo new motion control for Kling 3.0!
Going to have to benchmark this too.
Will test on some silly videos from the archives… looks great https://t.co/ZQQVZM7IED
— A.I.Warper (@AIWarper) March 4, 2026
Software Development
Guillermo Rauch highlighted v0 Max Fast, powered by Fast Opus, as a super-intelligent tool for frontend and design engineering, praising its quality, speed, and consistency despite cost.
'@v0 Max Fast' (powered by Fast Opus) straight-up feels like frontend & design engineering super-intelligence.
The quality, the speed, the consistency… It's costly, but it's the best taste of the future of generative, on-demand software you can get today. pic.twitter.com/SNzS0vtFA9
— Guillermo Rauch (@rauchg) March 4, 2026
Alex Volkov noted Anthropic’s upcoming “auto mode” for Claude Code, a safer alternative to “–dangerously-skip-permissions,” aligning with enterprise needs.
Claude Code is about to launch a "–less-dangerously-skip-permissions" mode AKA "auto mode" 👀
Given the huge enterprise adoption this makes a lot of sense! https://t.co/nedvTPRig1 pic.twitter.com/SrAkBnXvlU
— Alex Volkov (Thursd/AI) (@altryne) March 4, 2026
Simon Willison published a new chapter on anti-patterns in Agentic Engineering Patterns, warning against inflicting unreviewed AI-generated code on collaborators, such as thousand-line PRs without basic functionality checks.
I started a new chapter of my Agentic Engineering Patternw guide about anti-patterns – things NOT to do
So far I only have one: Inflicting unreviewed code on collaborators, aka dumping a thousand line PR without even making sure it works first https://t.co/rg6LVi9zkk
— Simon Willison (@simonw) March 4, 2026
Dan Shipper discussed AI’s impact on software in an interview, noting huge speed gains on greenfield projects versus only 10% in mature codebases, with a rule that AI use doesn’t earn credit but is expected for best work.
Sam Gerstenzang (@gerstenzang) and Dan Friedman (@dnfriedman) run what they call the "world's slowest startup incubator."
Their model: Come up with a business idea, grind it to several million dollars in revenue themselves, then hand it off to a CEO to take it to the next level.… pic.twitter.com/RbphLNK0gL
— Dan Shipper 📧 (@danshipper) March 4, 2026
Omar Sar noted the return of “ultrathink” in Claude Code sessions to deepen agent thinking without custom prompts.
ultrathink is back!
i missed this so much.
in most claude code sessions, i always feel i can squeeze out more from agents. i am always using some weird prompts to "think deeper".
i am glad this shorthand is back, so i don't have to be manually trying so hard. 😅 https://t.co/IweMfuQiHD
— elvis (@omarsar0) March 4, 2026
Levelsio humorously posted about having to write code manually.
Had to write code myself today pic.twitter.com/vQolmIByAF
— @levelsio (@levelsio) March 4, 2026
@peteromallet introduced Desloppify v0.9, a harness enabling modern LLMs to autonomously refactor large-scale messy codebases (91k+ lines) to standards rivaling world-class professionals, likening it to “Claude 6” performance.
Introducing Desloppify v0.9!
I'm so convinced that this can make vibe code well-engineered that I'll put my money where my mouth is.
If you can find something poorly engineered in its 91k+ lines of code, I'll give you $1,000.
Details in Github issue, you have 48 hrs. pic.twitter.com/brmJo3QOIZ
— POM (@peteromallet) March 4, 2026
No modern LLM can handle a large scale refactoring of a messy codebase
Yet with this harness they can do it autonomously to a standard that rivals world class professionals
It’s effectively like using Claude 6 https://t.co/co3JcG7R3R
— POM (@peteromallet) March 4, 2026
He backs this with a $1,000 bounty challenge for anyone finding poor engineering in the codebase within 48 hours.
Introducing Desloppify v0.9!
I'm so convinced that this can make vibe code well-engineered that I'll put my money where my mouth is.
If you can find something poorly engineered in its 91k+ lines of code, I'll give you $1,000.
Details in Github issue, you have 48 hrs. pic.twitter.com/brmJo3QOIZ
— POM (@peteromallet) March 4, 2026
Automation & Orchestration
Rauch promoted Vercel Skills as the new onboarding UX, demonstrated by easily adding a Slack agent skill without handling OAuth or webhooks.
Skills are the new onboarding ux https://t.co/Dyn0yGRz7C
— Guillermo Rauch (@rauchg) March 4, 2026
Dan Shipper highlighted an AI agent “Matthew Bolton” that transformed customer discovery processes but noted failures in synthetic customer calls.
Sam Gerstenzang (@gerstenzang) and Dan Friedman (@dnfriedman) run what they call the "world's slowest startup incubator."
Their model: Come up with a business idea, grind it to several million dollars in revenue themselves, then hand it off to a CEO to take it to the next level.… pic.twitter.com/RbphLNK0gL
— Dan Shipper 📧 (@danshipper) March 4, 2026
Omar Sar emphasized treating agent prompts as executable business logic with living evals as feedback loops, rather than static unit tests; shared research showing retrieval methods matter more than memory writing strategies like summarization; and showcased NeuroSkill, a proactive offline agent using BCI signals for cognitive/emotional state modeling via tool calls.
When you build AI agents, don't treat prompts like config strings.
Treat them like executable business logic. Because that's what they really are.@arshdilbagi's blog and this Stanford CS 224G lecture lay out one of the clearest mental models I have seen for LLM evaluation.… pic.twitter.com/wj3ZdgUUna
— elvis (@omarsar0) March 4, 2026
Good tips for better utilizing memory in AI agents. https://t.co/VLcCGZ2cVj
— elvis (@omarsar0) March 4, 2026
Pay close attention to proactive AI agents.
This is one of the wildest applications of agent harnesses I've seen.
The MIT paper introduces NeuroSkill, a real-time agentic system that models human cognitive and emotional state by integrating Brain-Computer Interface signals with… pic.twitter.com/eacYe32bE0
— elvis (@omarsar0) March 4, 2026
Strategy & Ecosystem
Cristóbal Valenzuela pondered the future with “Dad, what was software?” amid AI advancements.
"Dad, what was software?"
— Cristóbal Valenzuela (@c_valenzuelab) March 4, 2026
Alex Volkov speculated on GPT 5.4 releasing soon, tying into Thursday AI hype, and referenced Silicon Valley views on AI surpassing humans.
"I went to interview the best selling doomers of silicon valley (without a microphone) to help me sell more fear" https://t.co/Gqu283zNmA
— Alex Volkov (Thursd/AI) (@altryne) March 4, 2026
It's always thursday… this is why we called it @thursdai_pod 🔥
GPT 5.4 is supposedly coming very soon.
I think they are waiting on DS https://t.co/dMyow9jqMp
— Alex Volkov (Thursd/AI) (@altryne) March 4, 2026
Jonathan Fischoff commented on compute trends, posting “compute equals revenue”; noted OpenAI buying 3-4x excess memory possibly to corner supply; discussed Dario Amodei’s memo calling OpenAI-Pentagon deals “safety theater”; and praised Nvidia’s secured supply chain dominance.
compute equals revenue pic.twitter.com/wCcUmtnXI4
— Jonathan Fischoff (@jfischoff) March 4, 2026
Simon Willison noted resignations of Qwen’s lead researcher and others shortly after Qwen 3.5 release.
Published some notes on the situation at Qwen – they released the Qwen 3.5 family (an outstanding family of open weight models) but now their lead researcher and several others all appear to have resigned within the past 24 hours https://t.co/EcBZOoHPJ1
— Simon Willison (@simonw) March 4, 2026