🚨 MAJOR ANNOUNCEMENT: YouTube will start prioritizing original content and reducing re-uploads (RIP clipping)
YouTube has just announced one of the most impactful changes to its short-form algorithm. Its recommendation systems (the algorithm) will start to further prioritize original content and reduce the reach of content re-uploaded from other creators without adding anything of your own.
They highlight this shift toward originality, where channels with primarily re-uploaded content will see less distribution within the Shorts feed.
It also seems like they’re really trying to put the focus on content with real value, while highlighting that YouTube doesn’t want as many “minor technical edits” or “template-based” changes. Which is basically all that clipping was in this industry.
Overall, while this will piss off some people whose entire careers were built on the premise of other people’s content (mostly clippers), the change itself is amazing and will finally address the overall quality issue we’ve been seeing.
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
Initially Copilot was just a brand that multiple (some may argue too many) adopted in our products. Each implementation was unique and product experiences varied widely. Now, company wide, we are using the same harness, the GitHub Copilot SDK.
This is a monumental achievement for a company the size of Microsoft.
So - the headline story is kinda click-bait enough. We moved the entire GitHub Copilot SDK from TypeScript to Rust. But this is also the least interesting thing in this post from @stephentoub. Because yeah, we moved to Rust. But how is really interesting. Lets dig in - 🧵
Today, we introduced Project Zenith, a ready-to-code Windows experience on developer-class hardware. Alongside @jackhuynh I also shared that Project Zenith will first be available on systems powered by @AMD’s Ryzen AI Halo. With more devices from our partners coming in the months ahead. https://t.co/nG8TqVDHWh
Today, we’re launching Original Content Rewards.
The reality is that Revenue Sharing had reached a point where its incentives were misaligned. Creators should be focused on bringing net new content to the platform instead of maximizing payouts. We could have kept adding more rules and exceptions, but ultimately the better decision was to start fresh and build a program designed from day one to reward originality.
Original Content Rewards is the result.
This program is built around a simple idea: reward the creators who bring original ideas, expertise, creativity, and unique perspectives to 𝕏 -- not those who have become best at gaming the system.
This is just the beginning. We’ll continue refining the program, improving our models, and raising the bar over time. But we’re so excited to keep investing in the creators who inform us, entertain us, make us laugh, teach us something new, and drive meaningful conversations on 𝕏 every day.
To everyone who creates original content on 𝕏 and makes this a better platform every day: thank you. We’re excited to keep building for you.
Introducing Gemini 3 ✨
It’s the best model in the world for multimodal understanding, and our most powerful agentic + vibe coding model yet. Gemini 3 can bring any idea to life, quickly grasping context and intent so you can get what you need with less prompting.
Find Gemini 3 Pro rolling out today in the @Geminiapp and AI Mode in Search. For developers, build with it now in @GoogleAIStudio and Vertex AI.
Excited for you to try it!
This is Gemini 3: our most intelligent model that helps you learn, build and plan anything.
It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. 🧵
Saw a demo today with an internal team building multi repo services with aspire using a shared container registry and an AddMicroservice method to bring in and locally test end to end scenarios. Really clever approach!
#dotnet#aspire
🚨CODE RED: Our Computer Science the Fun Way @humble bundle just broke containment! 18 popular CS books, you decide the price. Proceeds support @EFF. https://t.co/RT5HLP5r8T
Really cool case study showing how Toyota is using Azure Durable Functions and Cosmos DB to build multi-agent AI systems to enhance vehicle development productivity!
https://t.co/Y4Oa8NHpiP
OMAKUB turns a fresh Ubuntu installation into a fully-configured, beautiful, and modern web development system by running a single command. It's what I use for my work, and it's a great way to get started with Linux. Enjoy!
The .NET API ref docs now include links to the source code! We've had many requests for this feature over the years and it's finally here. If the docs don't tell you what you need to know, now you have a direct link to the implementation. Example page: https://t.co/vrxkE67paw.
You can now use TraceLens in Aspire.
Just add the TraceLens.Aspire Nuget.
Then add "builder.AddTraceLens()" in your Aspire host app.
Visualize your Aspire apps with sequence diagrams, component diagrams, and flame-charts :-) 🚀📈🔥