Creative & Visual Media
Runway released real-time video agents built on their GWM-1 world model, enabling expressive digital personas from a single image without fine-tuning.
Excited to release real-time video agents.
They are kind of a big deal. Built on our recently launched world model GWM-1, they let you generate expressive digital personas from a single image, with zero fine-tuning required or additional data. https://t.co/4jYYvmHjyv
— Cristóbal Valenzuela (@c_valenzuelab) March 9, 2026
Last week we debuted our new real-time video agents with one of the hardest demos possible: live television. The BBC is now using Runway Characters to augment segments of their programming. Wild to see this live. So excited for all the new possible applications to come. pic.twitter.com/E0JgOYx33Z
— Cristóbal Valenzuela (@c_valenzuelab) March 9, 2026
The BBC used Runway Characters for live television segments.
Last week we debuted our new real-time video agents with one of the hardest demos possible: live television. The BBC is now using Runway Characters to augment segments of their programming. Wild to see this live. So excited for all the new possible applications to come. pic.twitter.com/E0JgOYx33Z
— Cristóbal Valenzuela (@c_valenzuelab) March 9, 2026
fofr shared luminism-style images generated with Nano Banana Pro.
More luminism with NBP https://t.co/nNWP576pUJ pic.twitter.com/vpi8bpuxZ3
— fofr (@fofrAI) March 9, 2026
fal announced the release of OneReward, a new model on their platform for unified image inpainting including fill, image extension, and object removal, with superior text rendering and mask-guided generation outperforming prior models.
🚨 OneReward is now live on fal!
🎨 Unified image inpainting: fill, image extend and object removal
✍️ Superior text rendering and mask-guided generation capabilities
✨ Delivering performance that significantly outperforms previous generation models pic.twitter.com/tvbZsKfWMy— fal (@fal) March 9, 2026
— fal (@fal) March 9, 2026
They also promoted events at GDC with Kindred Ventures on AI reshaping games and media, plus GTC meetups.
Happy GDC week! Join us and @KindredVentures for an evening exploring how AI is reshaping the way games and media are built, experienced, and scaled.
Register here: https://t.co/soRipbXHuh
— fal (@fal) March 9, 2026
AIWarper shared MatAnyone2 for advanced video matting, integrable with tools like CorridorKey for improved chroma keying in generative workflows.
On the subject of matting, MatAnyone2 is also now released.
Interestingly enough, you could substitute this directly into CorridorKey (my last post) for the matting step.
Link to repo in first comment below. pic.twitter.com/aOx7wCL3HI
— A.I.Warper (@AIWarper) March 9, 2026
Justine Moore highlighted GPT-5.4’s prowess in reviewing slides, providing expert-level teardowns and narrative improvements.
GPT 5.4 is now shockingly good at reviewing slides, as I discovered last night.
It feels like a detailed teardown from an expert in your field.
You’ll get specific edits on each slide + a broader view on how to frame your narrative better.
It’s hard to describe – just try it! https://t.co/HXC5IVwPU1
— Justine Moore (@venturetwins) March 9, 2026
The vision in GPT-5.4 is incredible.
Give it a dense document, diagram, or rough sketch and it just gets it.
Better yet, ask Codex to turn it into something real! https://t.co/JBu17P3UjF
— Romain Huet (@romainhuet) March 9, 2026
Ilker shared a workflow for Kling v3 multi-shot video generation, automating prompt creation for easier video production.
I've prepared a workflow for those struggling with Kling v3 multi-shot.
Just type in what you want, and it will automatically create multi-shot prompts and generate a multi-shot video for you. pic.twitter.com/OaJdh5BFc7— ilker (@ailker) March 9, 2026
Machina (@EXM7777) discussed optimizing prompts for Nano Banana image generation using high-quality reference images from sources like Cosmos and Pinterest.
you could be sending terrible prompts to Nano Banana, it will perform just fine as long as the reference image you provide is great…
your swipe file is the differentiator, here are a few places to build it:
– cosmos
– lumni
– savee
– arena… pic.twitter.com/tlVwi8cODQ— Machina (@EXM7777) March 9, 2026
Riley Brown noted rising competition in content creation due to AI tools and layoffs driving more creators to platforms like IG, TT, and YT.
Content Creation is going to get 10x more competitive over the next 2 years.
So many smart driven people will be laid off + AI content will make it very hard to build a following on IG+TT+YT from 0.
— Riley Brown (@rileybrown) March 9, 2026
Software Development
Guillermo Rauch highlighted OB-1, a self-improving coding agent now integrating Vercel CLI for deploying and managing projects.
Real agents ship https://t.co/vwOhaGWyrf
— Guillermo Rauch (@rauchg) March 9, 2026
omarsar0 highlighted concerns with Claude Code’s new review feature, emphasizing separation of code generation (output-focused) from verification (skepticism-focused) to avoid shared blind spots, promoting QodoAI’s independent review tools.
Code review for Claude Code is here.
More attention on this problem is a good thing. Because it is a big one.
The question isn't whether you need AI-assisted review. It's whether the system doing the reviewing is actually independent from the system that wrote the code.… https://t.co/8mvQ5RSifC
— elvis (@omarsar0) March 9, 2026
This is the part that actually matters for code reviews:
Generating code is about output.
Verifying code is about skepticism, judgment, and trust.
Those are different engineering muscles, and strong coding teams need both where things are headed with coding agents. https://t.co/Y6biEiUjH1
— elvis (@omarsar0) March 9, 2026
simonw noted recent LLMs with coding agents excel at niche tech like Datasette/SQLite, countering predictions of “boring” preferences, and polled on AI tools in dev interviews.
A short note that the predictions that LLMs would favor "boring technology" that's over-represented in the training data don't appear to be playing out as expected with the latest models – once you attach them to a good coding agent harness at least https://t.co/UmyAuQ1M3l
— Simon Willison (@simonw) March 9, 2026
Question for anyone who's interviewed for a software developer role recently
(I'd love to hear more detail in replies)
Did experience with AI tools for programming feature in the interview process at all?
— Simon Willison (@simonw) March 9, 2026
jfischoff commented on Claude’s agentic code review teams.
At neurips everyone was wondering if anyone could compete with google. Gemini 3 seems like ages ago now.
Never seen competition like this.
— Jonathan Fischoff (@jfischoff) March 9, 2026
Machina praised Anthropic’s new Code Review feature in Claude Code, deploying agent teams for bug hunting in PRs, positioning it as a top coding agent.
anthropic is now ALL IN on security
they shipped:
>the best marketing agent
>the best agent for automations
>the best coding agent
>now building the best security agentthey want it all https://t.co/sdVAXEx8tC pic.twitter.com/ZDLyOl0nvx
— Machina (@EXM7777) March 9, 2026
Introducing Code Review, a new feature for Claude Code.
When a PR opens, Claude dispatches a team of agents to hunt for bugs. pic.twitter.com/AL2J4efxPw
— Claude (@claudeai) March 9, 2026
The Boring Marketer recommended Claude Code’s /loop skill for recurring tasks like PR monitoring and deployments, and a builder-judge setup with Claude Code and Codex for effective multi-agent development.
claude code has a /loop skill that feels underrated
it lets you run recurring tasks inside your session on an interval
so instead of asking once, you can tell it things like:
– babysit all my prs
– rerun tests every 30 min
– keep checking this deploy
– send me a summary every…— The Boring Marketer (@boringmarketer) March 9, 2026
after a week of 18 hour days with claude code and codex, i think most people are using multi-agent dev wrong
i think the best setup is:
1 builder
1 judgeclaude code moves the code forward, codex helps me figure out what’s actually broken, what order to fix it in, and whether…
— The Boring Marketer (@boringmarketer) March 9, 2026
Ethan Mollick showcased Claude Code building an interactive lighthouse atlas app.
Here are all the lighthouses of the Northern Seas, each light is the right color, each turns or pulses at the right frequency, and is scaled with its brightness. You can also see how far they are visible.
I had Claude Code build this and upload it here: https://t.co/ZX6pyJhlr9 pic.twitter.com/WZFewYGdUn
— Ethan Mollick (@emollick) March 9, 2026
CJ Zafir detailed using Codex-5.4 and Opus-4.6 for model distillation and fine-tuning smaller Qwen models, surpassing GPT-4o and others locally.
Is GPT 5.4 really good?
I used codex-5.4-extra-high to fine-tune qwen-3.5-4b. (SFT)
(Exhausted all my pro plan weekly credits in 24 hours.)
And also used opus-4.6 to fine-tune qwen-3.5-9b
Codex is fast but dataset quality is crap.
Opus is slow but data quality is great.… pic.twitter.com/RKpLcHdbcw
— CJ Zafir (@cjzafir) March 9, 2026
Riley Brown demonstrated Claude Code and OpenClaw using a Figma-like tool (@paper) for agentic design and React app building.
yup.. Someone made a Figma for AI Agents
Claude Code and OpenClaw can now create designs 10x easier…
00:00 Intro
00:46 Installing @paper
01:56 Connecting Claude Code to Paper
03:38 Plan for Design
06:23 Claude Code designs
08:28 Iterating
11:48 Building the React app
13:37… pic.twitter.com/VxfrnoS4cJ— Riley Brown (@rileybrown) March 9, 2026
Automation & Orchestration
Alex Volkov commented on Andrej Karpathy’s autoresearch, an agentic system where AI autonomously iterates on LLM training code for rapid improvements.
Of course it'll be Karpathy who brings on the open source singularity… of course https://t.co/8fCGAY5sgc
— Alex Volkov (Thursd/AI) (@altryne) March 9, 2026
Rauch praised AI agent simulations for government scenarios as an underrated use case.
Cool. Simulation is a vastly underrated and under-explored usecase of AI.
— Guillermo Rauch (@rauchg) March 9, 2026
omarsar0 discussed Memex(RL) for scaling agent memory in long-horizon tasks via indexed experience retrieval, and KARL from Databricks for RL-trained enterprise search agents handling synthesis and reasoning.
New research on scaling agent memory for long-horizon tasks.
One of the biggest challenges with AI agents is memory.
As tasks get longer and more complex, agents lose track of what they've learned, what they've tried, and what worked.
This paper, from Accenture, introduces… pic.twitter.com/GPovRPuJIs
— elvis (@omarsar0) March 9, 2026
Knowledge agents via RL https://t.co/gwzW7I6Hq4
— elvis (@omarsar0) March 9, 2026
He teased upcoming agentic research work and stressed persistent memory for complex planning.
for now it has mostly been improvements on “agentic coding”
prepare yourselves for “agentic research”
expect something from me in the coming weeks on the same https://t.co/KmgRj2JFBA
— elvis (@omarsar0) March 9, 2026
Machina highlighted agentic commerce advances, with OpenClaw enabling fully autonomous app building, domain purchase, hosting, and ad campaigns; Lemon’s voice agent for device tasks; and Airwallex’s infrastructure for agents.
so you're telling me Openclaw can now…
– build an app
– buy the domain
– spin up hosting
– run the first ad campaignwithout any human in the loop? time to lock in https://t.co/6SLDQ21YQT pic.twitter.com/ZchRDvXInL
— Machina (@EXM7777) March 9, 2026
Agentic commerce is here, and it doesn't need stablecoins
Today we're launching Slash for Agents so you never have to login to your dashboard again
Create cards, set spend controls, and send payments all through your agent over MCP
Available to all Slash users today* pic.twitter.com/vhJNjLVUbh
— Kevin Bai (@kevinbai0) March 9, 2026
believe it or not but this is more impressive than OpenClaw to most people…
you talk to your computer and the agent executes tasks on your device, simple as that
in a near feature you won't even be using an interface anymore for things like emails, research, writing… it… https://t.co/1YRE3splfM pic.twitter.com/bQMofrCpM7
— Machina (@EXM7777) March 9, 2026
Turn what you say into what gets done.
Lemon eliminates hours of busy work with voice commands.
The average user saves 8-10 hours/week with Lemon.
Here are 6 of the most powerful ways you can do the same.
RT + Comment "Lemon" to get 30 days free.
Or just try it now at:… pic.twitter.com/saRcQIkqJ8
— Lemon (@heylemon_ai) March 9, 2026
be Jack Zhang
>held a bank job while coding trading algorithms on the side
>had $10M saved by 29, still employed, still learning
>got his coffee shop payment frozen for 3 weeks trying to cross a border
>realized money is trapped in systems built 30 years ago
>took his insider… https://t.co/akJq8Q6KSn pic.twitter.com/ou6RrHFWXs— Machina (@EXM7777) March 9, 2026
We saved our customers over $1.3 Billion in 2025 alone.
That value has helped @Airwallex reach $1.2 Billion in ARR, growing 85% YoY.@Deel, @McLarenF1 , @boltapp and 200,000+ other customers trust us because legacy banking wasn't meant for global businesses:• Opening a bank… pic.twitter.com/QpW7cBRtJ5
— Jack Zhang (@awxjack) March 9, 2026
The Boring Marketer emphasized judgement in AI workflows, turning operators into systems thinkers for prioritization.
with ai execution is abundant. judgement and taste are not.
the bottleneck is not "can it be produced"
the bottleneck is:
• what matters
• what should be done next
• why do I do it
• what is worth automating
• what is most likely to work
• what learnings are feeding…— The Boring Marketer (@boringmarketer) March 9, 2026
Ethan Mollick discussed shifting focus to AI-driven organizational efficiency over individual productivity.
The "how does AI improve individual productivity" discussion is much less interesting than "how does AI improve organizational efficiency?" We have a lot of answers to the former, but it will always get eaten by the latter if we don't experiment with new approaches to organizing.
— Ethan Mollick (@emollick) March 9, 2026
Strategy & Ecosystem
Volkov teased upcoming Weights & Biases features and noted his role judging the Mistral AI worldwide hackathon.
.@wandb is about to drop some things you've all been waiting for, and some things you didn't even know to wait for 👀
— Alex Volkov (Thursd/AI) (@altryne) March 9, 2026
Excited to be a judge on the @MistralAI worldwide hackathon (sponsored by @wandb).
LIVE stream RN with @art_zucker @TheWitcherish and quite a few more folks!
These are the top of the top teams from all over the world, excited to judge! https://t.co/41xOIobJqo pic.twitter.com/iwJZ2oB5Q4
— Alex Volkov (Thursd/AI) (@altryne) March 9, 2026
Rauch echoed Naval Ravikant’s trend observation on computers evolving into tools for AI agents, linking to Vercel Sandbox.
The computer: https://t.co/v4TEttiYQL https://t.co/h8dbzFGUlP
— Guillermo Rauch (@rauchg) March 9, 2026
jfischoff observed intense AI model competition post-NeurIPS, with rapid advances like Gemini 3 feeling outdated.
At neurips everyone was wondering if anyone could compete with google. Gemini 3 seems like ages ago now.
Never seen competition like this.
— Jonathan Fischoff (@jfischoff) March 9, 2026
danshipper announced a 1-click Slack-based OpenClaw setup via Every, addressing multi-tenant demands.
We’re releasing a 1 click slack based openclaw setup next week
Already have a bunch of users in beta. Happy to add them!
— Dan Shipper 📧 (@danshipper) March 9, 2026
simonw contrasted SQLite’s long-standing production query plan simulation with PostgreSQL 18’s new feature.
Got excited about a brand new PostgreSQL 18 feature (for simulating production query plan statistics locally), posted about it on the SQLite forum… and got a reply from D. Richard Hipp within minutes that SQLite has had the same ability for years https://t.co/uorHwbxtRz
— Simon Willison (@simonw) March 9, 2026
Justine Moore gauged community sentiment on AGI progress this week.
How much are you feeling the AGI this week? pic.twitter.com/u2bUAZT2G6
— Justine Moore (@venturetwins) March 9, 2026
Ethan Mollick critiqued centralized “responsible AI” governance tangling risk discussions and called for distributed decisions; questioned Microsoft Cowork’s model access amid rapid advances like GPT-5 to 5.4; and sought verification on fruit fly brain upload claims.
It seems it was unfortunate that companies lumped every concern about AI into the overall labels of "governance" or "responsible AI"
It creates a giant tangle around discussions of the risks and rewards of AI use cases, and often centralizes decisions that should be distributed.
— Ethan Mollick (@emollick) March 9, 2026
Microsoft seems to be launching its own branded version of Cowork (though I hesitate to discuss products I haven’t tried)
A big question is whether it will continue to use lower-end models without telling you. Also whether it will keep up as the space evolves, or is it a one-off pic.twitter.com/9ZkHEfZ6zr
— Ethan Mollick (@emollick) March 9, 2026
I would like to understand if the fruit fly upload thing is real – haven't seen an academic paper, just a video and a tweet thread. Is there one?
— Ethan Mollick (@emollick) March 9, 2026
Ethan Mollick also promoted prompt improvement techniques.
Get better prompts. pic.twitter.com/uvcUU3vYxU
— Ethan Mollick (@emollick) March 9, 2026