与「Originality」相关的搜索结果

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.

$RTX is more than a ticker. It’s a vision. It’s a world waiting to be built. It’s a brand waiting to be recognized. Today, $RTX officially launches the RTX Creative Mission, inviting creators around the world to shape the future of the RTX universe. Whether it’s memes, artwork, videos, animations, or storytelling—your creativity could become part of the $RTX identity. 🏆 US$10,000 worth of NVDAB rewards Create. Inspire. Define $RTX. 📖 Rules + Entry ↓ ⸻ 🧵 Thread 1 What should the future of $RTX look like? That’s for the community to decide. Create anything inspired by $RTX, including: • Memes • Posters & Visual Design • GIFs & Animation • Videos • Stories & World-building • 3D Art • Multilingual Content • Any original creative format Let’s build an identity that people recognize instantly. ⸻ 🧵 Thread 2 Your creation could become part of the $RTX brand. To enter, include: ✅ $RTX ✅ @fourdotmemezh ✅ @rtxonbnbchain ✅ #DefineThebSTOCKEra# AI-assisted work is welcome, but every submission must reflect meaningful human creativity and originality. Don’t just hold $RTX. Build $RTX. 🚀

Elon Musk is building something no platform in history has actually attempted. A system that judges ideas without knowing who wrote them. Musk: “It should be possible for somebody to post content as a new user with no followers, and if that content is excellent, it gets seen by a lot of people.” Every platform before this ran on a single hidden variable. Identity. Not quality. Not originality. Not depth. Identity. Who you were determined what got seen. The architecture didn’t surface the best thinking. It surfaced the most established thinker. It chose pedigree over precision. Every single time. Musk is the first person with the infrastructure, the capital, and the sheer indifference to consensus required to strip that variable out. Grok reads everything. Every post from every account. Zero followers or ten million. No weighting for legacy. No deference to tenure. It measures one thing. Intrinsic excellence. The printing press created publishers. Radio created networks. Television created anchors. Social media created influencers. Every technology of liberation produced a new gatekeeper within one generation. Musk is betting AI is the first tool that can’t be captured. An algorithm with no concept of identity has no incumbency to protect. It just reads. And it surfaces what’s best. If that works, it doesn’t just change a platform. It exposes something about every system that came before it. Every trending page, every algorithm, every feed that claimed to surface quality was never measuring quality. It was measuring proximity to power and calling it merit. We never had meritocracy. We had hierarchy with better marketing. Musk is building the first real one. And the question it forces isn’t whether you can compete. It’s whether your work was ever actually good, or you were just early. Everyone wants meritocracy. Almost nobody has ever lived in one.

This slide from the Anthropic IPO roadshow was a big factor in my decision to leave. It’s an insane plot and I’m surprised they made it public. It shows the compute efficiency of pretraining over time. The y-axis is a **log scale**: they are seeing continued superexponential algorithmic progress. Mythos was not a one-time deviation, but a point on a superexponential. They could already retrain Mythos with a fraction of the compute originally needed. It doesn’t strictly imply a software-only intelligence explosion- they have been spending more on R+D. But algorithmic improvements do not require ridiculous creative genius and are on the verge of being automated. You do the math.

Elon Musk says he was on Twitter almost from the beginning, and his early tweets were already crazy. 😂 He originally deleted his account because everyone was tweeting about what latte they had at Starbucks. Then someone started impersonating him. So Musk decided to take Twitter back and start saying crazy things himself. “I use Twitter” the same way some people use their hair to express themselves. Honestly, the man has been consistent.

Newly obtained documents reviewed by CNN show Cornell police drafted letters to phone companies to preserve data, raising questions about what was originally shared with prosecutors.

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.

We just launched a feature we began exploring a decade+ ago, but never released it. It was originally destined for Campfire, our chat tool. The feature is called Bonfire. Now that Campfire is built into Basecamp, Bonfire belongs there. And today it's live for all Basecamp 5 customers. What's Bonfire? I put together a short video to show you what it is and how it works:

Salesforce acquires Listen Labs for ~$2b. But who gets the 💰? My usual breakdown below 👇 The company was founded in Sep-23 and had raised less than $100m. Investors will share ~$850m of profits on $96m invested, a ~10x blended. From a huge pivot to a unicorn valuation term sheet they refused, this is truly a wild story ✍️. In the end an incredible outcome for all involved. So let's dive in! 1) The boldest move: walking away from $1.5b 🎲 Listen Labs had a signed $125m Series C term sheet from Menlo at a $1.5b valuation... and walked away from it to sell to Salesforce at ~$2b. This takes a huge amount of courage: few founders turn down a signed unicorn-plus round. @itsalfredw and @florian_jue did it 2.5 years after founding. Huge congratulations are in order for the discipline and execution of the founders here. 2) Founders and team: a life-changing outcome in under 3 years 🥳 By my best estimates, founders and team still own over half the company. At $2b, that's ~$1.1b for them to share. Specifically, assuming a 15% option pool, that is ~$300m for the team and ~$750m for the two co-founders. And, as was the case with Hugging Face, this is all from a pivot. They originally built an AI customer-interview tool to understand why their viral app BeFake was growing, then realised the tool was the business! 3) Sequoia's Bryan Schreier did it again 👑 What few people know is that Bryan was an early backer of Qualtrics... the category Listen Labs is disrupting. Now he led both the seed and the Series A here. By my estimates, those two rounds will return ~$670m combined, or ~25x on ~$27m invested, in under three years. Pattern recognition and industry knowledge have their perks, it would seem! 4) Ribbit: 4x in 8 months ⚡ Ribbit led the $69m Series B in Jan-26 at ~$500m. At $2b, that's ~4x in 8 months. Unbelievable IRR and a great return on a meaningful cheque. 5) Neo does it again, congrats @apartovi 🎯 Listen Labs went through the Neo accelerator early on, which came with a $600k SAFE. On my estimates, that cheque is worth ~$25m+ today. This comes just three months after Cursor's acquisition (a cool >1,000x for Neo). What a hit rate! This one is very straightforward: it is a massive win for everyone. And so congratulations to all involved: Sequoia, Ribbit, Conviction, Pear, Neo and the team!