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On tokens and prices per token. I said I’d write more about this, so here goes: an OpenAI token != another model’s token. We compare AI prices in dollars per million tokens as if a token were a standardized unit, like a gram or a kilowatt-hour. It isn’t. Different models use and produce the exact same text using different numbers of tokens, which means a lower price per token does not necessarily mean a lower bill. Imagine two identical pizzas. One is cut into 8 slices at $2 each. The other is cut into 16 slices at $1.25 each. The second place advertises cheaper slices, but the whole pizza costs $20 instead of $16. Bummer ... your stomach doesn't actually care about the number of slices you just ate. I know you are hungry now, but back to tokens. In one small comparison spanning English, technical, multilingual, and numerical text, the tokenizer we use for GPT-5.6 Sol used 766 tokens versus an estimated 1,170 for Claude Opus 5. That's a very significant difference of about 34.5% fewer tokens. You can get the same exact text, but pay for all those extra tokens. The price per token doesn't really tell this story. Even correcting for tokenizer differences misses the bigger point. What actually matters is price per successful outcome, and for that you can use benchmarks as a starting point, but really you have to try it and measure on your own use cases. That's all. May the tokens flow.

Any multilingual, meme-literate, reliable, and long-haul overachievers out there who need a gig? Slide into my DMs with your CV.💁‍♀️ 还有没有多语言、网感好、靠谱可持续的卷王需要工作啊？请直接私信我你的简历，或者币安网页再申请一遍。💁‍♀️

$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. 🚀

Dreamina Seedance 2.5 is now live! From creators to enterprises, a new era of AI video creation begins. Try Seedance 2.5 on Dreamina today. Enterprise API access via BytePlus is coming soon. Create longer videos with greater control: - Native 30-second generation - Precise video editing - Support for up to 50 multimodal references - Multilingual video generation More consistency. More control. More possibilities.

The biggest mistake in humanoid robotics isn't engineering. It's thinking the robot is the entire business. History says otherwise. The companies that become indispensable don't always build the machine—they build the ecosystem everyone else eventually depends on. For the past six years, PITN has been preparing for a world where humanoid robotics becomes a multilingual global economy, not just a collection of impressive machines. While headlines chased the next robot demo, we quietly assembled a strategic portfolio of 500+ robotics and AI digital assets across 30 of the world's most influential languages. Not because domains are the future. Because digital identity is. Every emerging industry reaches a tipping point where attention shifts from Can we build it? to How will the world find, trust, and connect with it? That's when gateways matter. Maybe the robotics industry hasn't reached that realization yet. Just because evolution is slow doesn’t mean you need to be! Maybe it's closer than anyone thinks. Either way, we chose to build for tomorrow instead of competing for today's headlines. The future won't speak one language. Neither will humanoid robotics. Embrace the future. #HumanoidRobotics# #ArtificialIntelligence# #Robotics# #FutureTech# #DigitalAssets# #Innovation#

While many of the world's brightest engineers were focused on building the best humanoid robots possible, PITN focused on building something different—a multilingual digital asset gateway designed for the emerging humanoid robotics ecosystem. Every transformational technology has had a moment when the market underestimated its importance. The internet.
Smartphones.
Artificial intelligence. Humanoid robotics may be approaching that same moment. PITN has assembled a portfolio of 500+ robotics and AI digital assets spanning the world's top 30 languages, including exact-match digital assets. Here's the question: When will a major robotics company have its "aha" moment and realize that a gateway they can leverage already exists? In any specialized industry, connections tend to tighten as the ecosystem matures. When humanoid robotics evolves into the global industry many expect, the paths between innovators, brands, and digital identity may become increasingly interconnected. The future is multilingual. The future is voice activated. 
The future is .HUMANOIDS WEB3. The future is POWER IN THE NUMBERS! For investor relations inquiries, DM #engineer# #TechCulture# #HumanoidRobotics# #AI# #Robotics# #DigitalAssets# #FutureTech# #Innovation#

PITN has assembled a portfolio of exact-match multilingual digital assets spanning approximately 30 of the world's most widely spoken languages and writing systems. Structured using Unicode-based normalization, transliteration, and cross-lingual terminology mapping, the portfolio is designed to function as a semantic gateway for robotics and humanoid AI. By aligning concepts such as ROBOT, ROBOTS, HUMANOID, HUMANOIDS, and HUMANOID ROBOT across native scripts, these assets may support ontology-driven knowledge organization, AI discovery, semantic search, multilingual SEO, and globally consistent concept representation as search evolves from keywords to meaning. As humanoid technologies scale worldwide, standardized multilingual semantic infrastructure may become an increasingly important layer for global interoperability and discoverability. The more compelling question is not whether this semantic layer will matter, but at what point a major robotics company will have its "aha" moment and recognize that has already assembled a semantic gateway that could be leveraged today to accelerate global multilingual concept alignment and future humanoid ecosystems. #PITNAI# #Humanoid# #HumanoidRobots# #Robotics# #Ontology# #SemanticWeb# #KnowledgeGraph# #SemanticSearch# #AI# #NLP# #Multilingual# #Unicode# #SEO# #FutureOfAI# #AgenticAI# #DigitalInfrastructure#

Power In The Numbers (PITN) is building the semantic infrastructure for the humanoid robotics ecosystem—connecting companies, AI, research, investment, and innovation through structured knowledge, digital identity, and intelligent business intelligence. Our focus spans humanoid robot manufacturers, AI developers, suppliers, system integrators, enterprises, universities, investors, and public sector organizations. As the ecosystem grows, is creating the foundation for verified connections, AI-ready knowledge graphs, multilingual concept mapping, and strategic industry matchmaking. The opportunity isn't just to participate in robotics—it's to help shape the infrastructure that enables the next generation of collaboration across AI, Web3, and humanoid robotics. #HumanoidRobotics# #AI# #Robotics# #Industry40# #DigitalIdentity# #KnowledgeGraph# #Innovation# #BusinessDevelopment#

Qwen-Audio-3.0-TTS is here. 🎙️ Our latest text-to-speech model, in two flavors: • Flash: real-time interaction • Plus: high-quality generation What's new: • Multilingual coverage across 16 languages • Style control in natural language • Fine-grained tags for non-verbal details • More robust voice cloning from imperfect audio