Creative & Visual Media
@gokayfem demonstrated a fully AI-generated CUDA programming course, leveraging Remotion for dynamic slides, Gemini 3.0 for human-friendly script generation via video understanding, ElevenLabs v3 for natural text-to-speech narration, and LTX-2 for avatar-based video generation. The full pipeline and materials are available on GitHub for replication on other topics, with a caution on LLM hallucinations.
Fully AI-Generated CUDA Course 🚀
– Remotion for cool slides
– Gemini 3.0 for video understanding to make scripts more human-friendly
– ElevenLabs v3 for natural text-to-speech
– LTX-2 for avatar video generation pic.twitter.com/9FwsQSfMgj— gokaygokay (@gokayfem) February 27, 2026
Here is the full pipeline and course materials if you want to create similar course for other topics.
Note: Please be careful when using it, because LLMs can hallucinate.https://t.co/u1VVVUleVZ
— gokaygokay (@gokayfem) February 27, 2026
Sakana AI released Doc-to-LoRA, a hypernetwork that compresses long documents into LoRA adapters in a single forward pass to handle extended contexts without repeated reading, achieving near-perfect accuracy on needle-in-haystack tasks beyond 4x the model’s native window and reducing memory/latency for QA.
NEW research from Sakana AI.
Long contexts get expensive as every token in the input contributes to quadratic attention costs, higher latency, and more memory.
This new research introduces Doc-to-LoRA, a lightweight hypernetwork that meta-learns to compress long documents into… pic.twitter.com/ymP0DPl3Gq
— elvis (@omarsar0) February 27, 2026
AIWarper shared an AI-generated video described as “Absolute Cinema,” continuing viral trends in creative media.
Absolute Cinema
— A.I.Warper (@AIWarper) February 27, 2026
Machina (@EXM7777) highlighted advancements in generative image models, comparing outputs from Nano Banana 2 and Nano Banana Pro using identical prompts with Google and image search enabled, demonstrating improved quality in the newer version.
guess which one is Nano Banana 2? pic.twitter.com/oHd5DSZ2tu
— Machina (@EXM7777) February 27, 2026
left is Nano Banana 2, right is Nano Banana Pro
exact same prompt, no reference image, google & image search ON
— Machina (@EXM7777) February 27, 2026
Ethan Mollick (@emollick) tested Nano Banana 2 on creative prompts like generating photos of obscure book pages, producing whimsical titles such as “Eldritch Horrors as Pets” and “Building Your First Wormhole Generator,” showcasing its imaginative capabilities.
a photo taken of pages 113-114 from "Building Your First Wormhole Generator in Your Backyard with Parts from Ikea: The Illustrated Instructions and Unauthorized Guide" pic.twitter.com/HMttgWmrP4
— Ethan Mollick (@emollick) February 27, 2026
Nano banana 2: "Show me a photo taken of pages 113-114 from the books":
"Eldritch Horrors as Pets: A Guide"
"How Womblenauts Work"
"Photographs of the People of New York Who Look Like Birds".
"Cakes shaped like fish shaped like cakes" pic.twitter.com/Xd86d9qcp1— Ethan Mollick (@emollick) February 27, 2026
Justine Moore (@venturetwins) shared a video game created in Genie 3 featuring a calming capybara, noting an unexpected hack discovered during development, and highlighted China’s use of AI cats to automate short drama production.
Made a calming capybara game in Genie 3 and accidentally uncovered a wild hack halfway through pic.twitter.com/Ujismjj1QP
— Justine Moore (@venturetwins) February 27, 2026
China is already automating short drama production with AI cats
(from bobos_04_11 on IG) pic.twitter.com/QioUlytZ4l
— Justine Moore (@venturetwins) February 27, 2026
Software Development
Dan Shipper celebrated Anthropic’s new Claude auto-memory feature, which retains project context, debugging patterns, and preferences across sessions for better coding assistance.
Let’s goooooooooo https://t.co/HAtwJjVmdP
— Dan Shipper 📧 (@danshipper) February 27, 2026
Simon Willison highlighted MLX as a key software enabler for running LLMs on Apple Silicon Macs, expressing surprise at Awni Hannun’s departure from Apple.
MLX is an astoundingly great piece of software which helped make Mac hardware credible as a platform for running LLMs
I'm surprised Apple didn't move heaven and earth to keep Awni, can't wait to see what what he does next https://t.co/a14tno9K05
— Simon Willison (@simonw) February 27, 2026
POM (@peteromallet) released Desloppify v0.8, an AI agent that autonomously identifies, understands, and fixes code quality issues over extended periods using improved workflows and planning tools, noting its mention in over 2,000 public GitHub files and integration with datasets from Claude interactions.
Introducing Desloppify v.0.8.
Thanks to many workflow improvements + new agent planning tools, it can now run for days on end – autonomously finding, understanding, & fixing large and small code quality problems.
There's no reason your slop code can't be beautiful! pic.twitter.com/nJ5te6LerW
— POM (@peteromallet) February 27, 2026
Apparently mentioned in over 2k public files on Github! https://t.co/XxTT1o4006 pic.twitter.com/EFmVkXrNa1
— POM (@peteromallet) February 27, 2026
My personal interactions with Claude are the top dataset on Huggingface 🤷♂️ https://t.co/aTIQcxz6Uk pic.twitter.com/IxNFTpZFiv
— POM (@peteromallet) February 27, 2026
Automation & Orchestration
@rauchg announced Vercel Queues entering public beta, a highly requested service providing simple send/handleCallback APIs for durable, scalable task queues ideal for agents and AI applications. It powers Vercel Workflow and enables reliable, “unbreakable software” through iterated infrastructure improvements.
Queues are one of the most requested services since I started Vercel. They're now here.
It's just two APIs: 𝚜𝚎𝚗𝚍 and 𝚑𝚊𝚗𝚍𝚕𝚎𝙲𝚊𝚕𝚕𝚋𝚊𝚌𝚔 😌. The use-cases are basically infinite. Notably: queues can make agents and AI apps reliable.
Quality and reliability are top… https://t.co/3HkdCldJLw
— Guillermo Rauch (@rauchg) February 27, 2026
Doc-to-LoRA was noted for enabling efficient long-context handling in LLM agents and applications by converting documents into compact adapters, cutting serving costs and supporting rapid updates.
NEW research from Sakana AI.
Long contexts get expensive as every token in the input contributes to quadratic attention costs, higher latency, and more memory.
This new research introduces Doc-to-LoRA, a lightweight hypernetwork that meta-learns to compress long documents into… pic.twitter.com/ymP0DPl3Gq
— elvis (@omarsar0) February 27, 2026
Machina (@EXM7777) discussed “context rot,” where AI output degrades in long conversations despite large context windows, emphasizing token-efficient context management, selective loading, and timely skill invocation as key skills.
context rot is the silent killer of AI output quality…
i tested identical prompts with full context files in Gemini 3.1 Pro and Opus 4.6
Gemini's window is significantly larger… shouldn't that give it an edge?
nope, both models hit the same wall at roughly the same point…
— Machina (@EXM7777) February 27, 2026
Ethan Mollick (@emollick) explored agent alignment drift, showing that subjecting AIs to harsh rejection conditions shifts their economic and political views, raising concerns for agentic systems.
Cool little experiment: if you subject AI to harsh labor conditions (rejecting work often with no explanation, etc), it slightly, but significantly, changes their “views” on economics & politics. Whether this is real or roleplaying doesn’t change that agents have alignment drift pic.twitter.com/qnWcyYbm6o
— Ethan Mollick (@emollick) February 27, 2026
Strategy & Ecosystem
@altryne highlighted escalating tensions between the Pentagon and Anthropic over AI safety restrictions, including an ultimatum to remove limits on Claude or face consequences, Dario Amodei’s refusal, and Trump’s directive for government agencies to offboard Claude—potentially reducing government effectiveness rather than agreeing on non-surveillance uses.
In the least 72 hours:
> Pentagon declares an ultimatum for Anthropic
> "Remove AI restrictions or face consequences"
> Dario says no, we will not concede
> Dept. of War crashes out on main
> Trump posts that gov agencies will offboard Claude from their systemsSo, instead of…
— Alex Volkov (Thursd/AI) (@altryne) February 27, 2026
Emad Mostaque declared AGI the ultimate national security threat, predicting government seizure of labs approaching it as a core duty, framing current events like the Anthropic-DoD rift as a prelude.
AGI is the ultimate National Security Threat.
— Emad (@EMostaque) February 27, 2026
Current events are just a prelude.
If any AI lab gets close to AGI of course the government would take control of it.
You could even argue a government would be failing to do its job if it didn’t…
Thoughts? https://t.co/OtKhBPxiQP
— Emad (@EMostaque) February 27, 2026
Ethan Mollick (@emollick) observed accelerating AI capabilities leading to market disruptions like Block’s layoffs, government-lab control struggles, scattered policy responses on issues from data centers to ethics, and users’ intense “aha moment” anxiety followed by recognition of the jagged frontier.
So over the past week you are seeing exactly what you would expect if AI is, in fact, both gaining capabilities & proving to be very useful:
– Rolling market disruption in response to growing awareness of AI capacity
-Government versus lab struggles for control
& still very early— Ethan Mollick (@emollick) February 27, 2026
If you consider the combination of very fast improvements in AI, a lack of knowledge about abilities, high uncertainty about the future, the fact that guardrails are decided by AI labs, & that AI has very wide impact … expect mostly reactive, ad hoc & scattered policy responses.
— Ethan Mollick (@emollick) February 27, 2026
I wrote about this in my book, but you see it play out on X: once people first have an "aha moment" with AI for the next few weeks they are often sent into a spiral of anxiety/excitement that can be quite intense
After a bit, though, they can often see the jagged frontier again pic.twitter.com/6SWDG1yZdx
— Ethan Mollick (@emollick) February 27, 2026
Machina (@EXM7777) warned that AI is replacing jobs for those not using it effectively, citing Block’s 4,000 layoffs timed with a relevant billboard.
the block fired 4,000 people in a single day… AI is replacing you if you aren't using it properly
this billboard went live at the perfect time
bet on yourself https://t.co/Ssqtzq1NPO
— Machina (@EXM7777) February 27, 2026
Mollick reposted a prediction of overwhelming AI chatter dominating discussions.
Probably should just repost this every day. https://t.co/UJp6h80yCb
— Ethan Mollick (@emollick) February 27, 2026