Creative & Visual Media
Discussions centered on advancements in generative video and world modeling tools. Google DeepMind’s Project Genie 3 was a major focus, with experiments showcasing adaptive handling of unusual subjects like a flying cat navigated over a downtown city during rush hour.
I've been experimenting with Genie 3. It's fascinating how adaptive it is to unusual subjects. Here's a flying cat I was flying around over a downtown city during morning rush hour. pic.twitter.com/A8Q4aXpUZk
— fofr (@fofrAI) January 29, 2026
Some tips for getting good controllable characters or objects in Genie:
– start with an image, video game like starting images work really well
– use something like Nano Banana to highlight your character to optimise controllability
– some annotations in starting images will… https://t.co/YEIB1NWCAd pic.twitter.com/g9O77hK9Tj— fofr (@fofrAI) January 29, 2026
Tips shared for better controllable characters included starting with video game-like images, using tools like Nano Banana for highlighting, and adding annotations.
Some tips for getting good controllable characters or objects in Genie:
– start with an image, video game like starting images work really well
– use something like Nano Banana to highlight your character to optimise controllability
– some annotations in starting images will… https://t.co/YEIB1NWCAd pic.twitter.com/g9O77hK9Tj— fofr (@fofrAI) January 29, 2026
Runway’s Gen-4.5 was highlighted as functioning like an animation engine, with demos of smooth, controllable video generations.
Gen-4.5 is pretty much an animation engine at this point pic.twitter.com/mcnUp7unva
— Cristóbal Valenzuela (@c_valenzuelab) January 29, 2026
Other tools featured included Luma AI’s Ray3.14 for smoother motion and 1080p output in image-to-video workflows using first/last frames and extensions,
Luma AI Ray3.14 is smoother with improved video motion, precise details, and 1080 output.
I2V with first and last frames + Extend: pic.twitter.com/iCeWmgHlgm
— Heather Cooper (@HBCoop_) January 29, 2026
Midjourney to Kling 2.6 pipelines for cosmic scenes with camera pushes,
Midjourney -> Kling 2.6:
Slow camera push-in towards the glowing planet's turbulent surface, molten rivers of blue and red lava flowing across its terrain. The golden sea below remains perfectly still except for subtle distortion waves radiating outward from the planet's… pic.twitter.com/AEE8UqqHHI
— Heather Cooper (@HBCoop_) January 29, 2026
and Niji V7 with style references for stylized outputs.
Niji V7 –sref 5421236272 pic.twitter.com/6n72pxQi9y
— Heather Cooper (@HBCoop_) January 29, 2026
fal announced a partnership with xAI as the day-0 platform for Grok Imagine, xAI’s new image and video generation + editing model, highlighting photorealistic outputs, fast generation, dynamic animations, and editing capabilities.
fal is proud to partner with @xai as Grok Imagine’s day-0 platform partner
xAI's latest image & video gen + editing model
✨ Stunning photorealistic images/videos from text
⚡ Lightning-fast generation
🎥 Dynamic animations with precise control
🎨 Edit elements, styles & more pic.twitter.com/1RwkhlJA9w— fal (@fal) January 29, 2026
They provided links to try text-to-image, image editing, text-to-video, image-to-video, and video editing endpoints.
Try New Grok Imagine here!
Text to Imagehttps://t.co/OeJMwL9hoH
Image Editinghttps://t.co/Q7lojX41I1
Text to Videohttps://t.co/fAzEJABTYn
Image to Videohttps://t.co/zTdoJQjkqk
Video Editinghttps://t.co/OQd0LAvDVb
— fal (@fal) January 29, 2026
Grok Imagine topped Artificial Analysis Video Arena leaderboards for text-to-video and image-to-video, surpassing models like Runway Gen-4.5 and Kling 2.5 Turbo; EMostaque congratulated xAI and predicted 10x+ annual cost drops, enabling cheap movie-length videos by year-end.
To achieve state of the art in under a year is really impressive, congratulations to the @xai team!
As the quality saturates we should expect cost to drop 10x+ a year, so by the end of next year it should be < $100 for an ok movie-length generated video, < $10k for a good one https://t.co/8L4W2P33a3
— Emad (@EMostaque) January 29, 2026
fal also launched Hunyuan 3D 3.1 Pro and Rapid for high-fidelity/speed-optimized image-to-3D, text-to-3D, smart topology, and part generation.
🚨 Hunyuan 3D 3.1 Pro and Rapid is here on fal!
🎯 Pro: High-fidelity Image-to-3D and Text-to-3D generation
⚡ Rapid: Speed-optimized 3D generation
✨ Smart Topology and Part generation for advanced 3D workflows pic.twitter.com/YWVa8rw13S— fal (@fal) January 29, 2026
Justine Moore (@venturetwins) shared early access to Google DeepMind’s Project Genie, a realtime world model that generates scenes from text or photos, allowing users to design characters that explore them. She highlighted standout features after testing dozens of prompts.
I got early access to Project Genie from @GoogleDeepMind ✨
It's unlike any realtime world model I've tried – you generate a scene from text or a photo, and then design the character who gets to explore it.
I tested dozens of prompts. Here are the standout features 👇 pic.twitter.com/I6CPJzPzIG
— Justine Moore (@venturetwins) January 29, 2026
Hahaha it’s going to be a WHILE before I can convince her to do this 😂
— Justine Moore (@venturetwins) January 29, 2026
Software Development
OpenCode made Kimi 2.5 free for a limited time, noting bug fixes and smooth performance thanks to Fireworks, positioning it within their open source coding agent.
kimi 2.5 is free for a limited time in OpenCode
if you ran into bugs before, upgrade OpenCode – we've fixed up a few things and we're having a great time with it now
huge thanks to fireworks for getting this model running so well so quickly
— OpenCode (@opencode) January 29, 2026
Simon Willison shared that code written with coding agents is better than manual code, as agents enable quick application of refactorings without time tradeoffs; practiced use allows choosing higher quality.
I find the code I write with coding agents is *better* than my manual code because I no longer have to trade time for quality – if I spot a refactor that would be a minor improvement but take several hours by hand I used to not apply it – now it's a prompt and a few minutes wait
— Simon Willison (@simonw) January 29, 2026
I think writing worse quality code with coding agents is a choice – if you get really well practiced at how to effectively wield them you can chose to write better quality code instead!
— Simon Willison (@simonw) January 29, 2026
Automation & Orchestration
Vercel introduced agent-optimized rendering, converting pages like changelogs to markdown (e.g., 500kb to 2kb) via Accept: text/markdown headers, emphasizing efficient web consumption for agents alongside UI toggles like human/machine modes.
This ◉ ʜᴜᴍᴀɴ ○ ᴍᴀᴄʜɪɴᴇ toggle by @p0 is brilliant. It's a beautiful illustration of what the web will "look like" to agents. It will look like a whole lotta markdown 😄
Incidentally, we just made it such that https://t.co/UXxAB08Uqf links automatically render as… pic.twitter.com/6v31UXpXQG
— Guillermo Rauch (@rauchg) January 29, 2026
omarsar0 highlighted Amazon’s Insight Agents, a lightweight multi-agent system for natural conversation with business data using hierarchical manager-worker structure, autoencoder OOD detection, BERT routing, API-based querying, achieving 89.5% accuracy and low latency.
New Research from Amazon.
Great paper showing how to build effective lightweight multi-agent systems.
This new research introduces Insight Agents, a multi-agent system built on a plan-and-execute paradigm that lets Amazon sellers talk to their business data through natural… pic.twitter.com/TKoZetR8x4
— elvis (@omarsar0) January 29, 2026
goose_oss promoted Beads integration for parallel work, memory management, task coordination, and session persistence in their local open source AI agent for developer tasks.
Wondering what Beads is or why engineers keep talking about it?
It promises easier parallel work, memory management, and better task coordination.
Join @blackgirlbytes live as she puts the hype to the test, using goose with Beads and Ghostty to ship multiple features in… pic.twitter.com/8F4RLMQ40U
— goose (@goose_oss) January 29, 2026
Forgot what you were working on? goose remembers.
With Beads, goose can track your tasks and dependencies across sessions so you can pick up right where you left off.
Get started with this tutorial ⬇️https://t.co/EgScMQtYVQ
— goose (@goose_oss) January 29, 2026
Strategy & Ecosystem
EMostaque discussed xAI-SpaceX-X merger speculation for $XXX ticker and praised xAI’s rapid SOTA achievement in video generation within a year, forecasting dramatic cost reductions.
Clearly merging @SpaceX, @xai & @x to get the $XXX ticker
— Emad (@EMostaque) January 29, 2026
fal released an academy video deep-dive on Grok Imagine’s aesthetics.
🚨 New fal Academy drop! This time, we do a deep-dive into the most aesthetic model yet: Grok Imagine
▶️ Watch now: https://t.co/69ugrggWyO
— fal (@fal) January 29, 2026
OpenRouter (@OpenRouterAI) reported on usage trends for GPT-5.2 Pro versus GPT-5.2 Standard, noting Pro’s heavier use in science (6.7% vs 2.8%), finance (2.6% vs 1.3%), and legal (1.2% vs 0.5%), while Standard leads in academia (3.4% vs 2.0%), programming (10.7% vs 9.8%), and technology (5.6% vs 4.7%). Pro accounts for 50% of GPT-5.2 volume despite being newer.
GPT-5.2 Pro does about 50% of the $ volume on OpenRouter as GPT-5.2.
What are people using GPT-5.2 Pro for? Here's the category breakdown:
GPT-5.2 Pro is more heavily used for:
– Science (6.7% vs 2.8% for Standard)
– Finance (2.6% vs 1.3% for Standard)
– Legal (1.2% vs 0.5% for…— OpenRouter (@OpenRouterAI) January 29, 2026