与「mist」相关的搜索结果

世界各国的LLM，韩国最近的势头也很猛 美国模型：Claude（Anthropic）、GPT（OpenAI）、Gemini（Google）、Grok（SpaceX）、Muse（Meta）等； 中国：DeepSeek（DeepSeek）、Kimi（月之暗面）、GLM（智谱）、Qwen（千问）、Seed（字节）等； 法国：Mistral（Mistral），最大675B 加拿大：Command（Cohere），最大218B 韩国：K-EXAONE（LG）、A.X-K2（SKT）、Motif（Motif）、Solar（Upstage），最大750B 印度：Sarvam（Sarvam），最大105B 阿拉伯：Jais（Inceptionai），最大70B

BREAKING: President Trump speaks out about the Department of Justice's move to drop the Reflecting Pool vandalism case. "That was the one mistake with the reflecting pond, they hadn't put up the cameras yet... If they would have had them up, we would have had a lot of- it would have been a lot easier. And I was disappointed with Jeanine Pirro, really disappointed with Jeanine Pirro. She folded like an umbrella and people get away with things, and it's a disgrace."

Today, I want to share something that happened to me on Kraken. I’m completely new to crypto, and this was my first time using Kraken. All I wanted to do was convert USDC into USD. Unfortunately, because USDT and USD differ by only one letter, I accidentally selected USDT instead of USD. I didn’t realize my mistake until the transaction had already been completed. In less than a minute, a single misclick resulted in a loss of approximately 810 USDT—more than $800. To be honest, I was shocked and devastated. Like many newcomers, I assumed that all major stablecoins were worth roughly the same, so converting between them would involve little or almost no loss. I never imagined that such a simple mistake could instantly cost me more than 1% of my funds. I immediately contacted Kraken Support, hoping they would understand that this was an honest human error and review my case, or at least consider making a one-time exception. What disappointed me even more was that almost every response came from AI. I was never able to speak with a real support agent. The only explanation I received was that the transaction had already been executed, the conversion details had been displayed before confirmation, and therefore nothing could be reversed or refunded. I understand that Kraken may not have violated its own rules, and I acknowledge that the final amount I would receive was displayed before I confirmed the transaction. But I believe that “the information was displayed” does not necessarily mean “a new user truly understands what it means.” As a beginner, I saw what I believed was a normal stablecoin conversion. I had no idea that the number shown on the confirmation screen meant I was about to lose more than $800. If a platform expects users to recognize an $800+ pricing difference on their own, instead of proactively warning them that the conversion is unusually unfavorable, I don’t believe that’s a user-friendly experience—especially for beginners. I believe that a platform responsible for customers’ assets should do more than simply display numbers. It should also be designed to help users avoid obvious mistakes that can lead to significant financial losses. Crypto is already complicated enough. The risks users take should come from the market—not from a product design that makes such costly mistakes so easy to make. This experience has left me deeply disappointed and has almost completely destroyed my trust in Kraken. I’m not trying to deny Kraken’s rules, and I’m not asking for special treatment. I’m simply asking @kraken and @krakensupport to review my case, seriously consider improving the user experience, provide real human support when genuine mistakes happen, and consider a one-time resolution for customers who make an honest human error. If this could happen to me, it could happen to any newcomer entering the world of crypto. I hope my experience helps others avoid making the same mistake. Please double-check every click. @krakenfx @krakenpro @krakensupport

Rain, mist and a city wrapped in clouds. This is another side of Chongqing worth slowing down for. Would you visit on a rainy day? 📸 wubiye #Chongqing# #ChongqingChina# #RainyDay# #TravelChina# #Cityscape#

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#

The ChillPill is Shark’s first wearable fan. Its three-in-one design includes a cooling plate that drops skin temp up to 16°F, a 10-speed bladeless fan, and a dry-touch mist feature. Check it out now:

Most people use Claude like a search engine. I use it like a business partner who knows everything about me. The difference is one file: CLAUDE.md It lives in my vault and tells Claude exactly: → Who I am and how I think → What I'm building right now → My writing style and tone → Mistakes I never want to repeat Every session starts with full context. No re-explaining. No generic answers. No starting over. I wrote it in 2 hours. It's saved me hundreds since. Most people treat AI like a tool. The ones winning treat it like infrastructure. @novak7747 — build the infrastructure. #Claude# #AIProductivity# #SecondBrain#