与「Nami」相关的搜索结果

Nami vs Hinata - Fighting over ZORO I created one long take shot action scene and this is crazy good! need some more accuracy but still! Seedance2.5, getting better and better.. holy moly guys. Check out the prompts🔽

Claude's watermark probably doesn't work how you think. As the CTO of GPTZero, I'll explain how Anthropic, Google and OpenAI are building text watermarking in this brief explainer and whether it can be defeated. Almost all forms of watermarking that are fast and cheap enough for a frontier lab have the same formula, following the KGW method: In generation: 1. Let's say you've generated n tokens so far. Take those n tokens + a secret key to generate a random hash 2. Use that hash to randomly reweight the probabilities for the n+1 token, and then sample from that new distribution. In the simple case, you could split 50% of all English words into a green or red set based on your hash, and boost the probability of words in the green set. For watermark detection: 1. For each token, see if it was in the green or red set. 2. To do this, recreate the hash based on the secret key and the text preceding the current token. Then, recreate the green and red set of words. 3. Once you've checked all the words in the text, if the next token is selected disproportionally from the green set more than 50% of the time, you claim the text has the watermark. I can tell you want to ask the following: 1) Isn't it easy to mess up the hash if you paraphrase the text? The answer is mostly yes, however, you can use a statistical model to get your hash instead of a deterministic function (SIR, Adaptive Watermark). Since the entire watermark is probabilistic, this is fine. 2) Doesn't this make the text much worse? The answer is yes, it does - Yes, it does – but for most people, it's imperceptible (Google claims in human feedback study with 20,000 texts), since there are exponentially many ways to write the same paragraph. DiPmark does something more sophisticated to avoid shifting the text distribution on average. Of course, watermarks fail on short text or highly predictable texts like "2+2=4". 3) Shouldn't it be easy to figure out the green and red sets? The answer is no. You would need an exponentially large number of samples from the watermarker to reconstruct those sets exactly, but it's a risk if the detector is open to the wild (Watermark Stealing) Still, there are couple challenges that a frontier lab needs to overcome: 1. Their watermark needs to work token-by-token because they are streaming their text to users. Many watermark methods plan sentences or paragraphs at a time, or change the text after its entirely written, in order to make their watermark robust to paraphrasers, and a frontier lab cannot afford to do this yet (SemStamp, PostMark) 2. If the secret key leaks, the watermark is busted. To avoid a large blast damage from this, you need to have a couple secret keys in rotation. 3. There are some texts, like code, that cannot be arbitrarily changed, otherwise the code will break. In those cases, the watermark needs to selectively change words in parts of the text that can tolerate synonyms (i.e. like variable naming) - see SWEET, EWD, Invisible Entropy. 4. They will need to educate their users on how to deal with false positives and false negatives of a detector, which is a big challenge (one we put a lot of effort into) So, how do I see this playing out in the next 6 months? 1. If Anthropic releases the watermark detector publically, I think they defeat their own watermark. People find reliable watermark removal strategies by testing against Anthropic (AI detectors like GPTZero have an advantage here because they can train against these adversaries once they become popular). 2. If they keep the detector private to the government, like Google has done, it's "safer". However, there are some papers showing trained approaches that work robustly to zero-shot break watermarks without any data, simply because they try to write the text just like a human (Zhang et al. 2024, Watermarks in the Sand). Also, making your detector makes it battle-tested and stronger long-term (my experience). 3. In my testing, the watermarks don't survive intense paraphrasing (especially if you combine word choice and syntax attacks), or human text substitution (rewrite your AI text by plagiarizing human authors). The free paraphrasers I've tried have quickly bypassed Google Deepmind's SynthId for what it's worth. 4. All-in-all, frontier labs are likely okay with this because they expect most users to not attack the watermark, and also because they + European regulators likely don't care past a certain point - its good enough. 5. Overall, I think users of frontier LLMs will not really care about this, because 1) they don't realize watermarks are there, 2) EU will force everyone to conform, 3) this seems more like regulatory hoop-jumping than an earnest effort from frontier labs to expose LLM use Lastly, people's first concern shouldn't be watermarking, it should be AI detectors! If you're posting, "its not X, its Y!!", I don't think the watermark is going to make a difference :)

Every ai-built website has the same tell. inter font, purple-to-blue gradient, cards nested inside cards, icon floating above a heading. you've seen it a thousand times and you clock it in half a second turns out there's a skill that exists specifically to kill that pattern, not by asking claude to "be more creative" but by naming the ai slop explicitly and telling it never to reproduce it its called Impeccable, open source, built by a former google/apple design lead. runs in claude code, cursor, codex, copilot, gemini cli. 58 deterministic anti-pattern rules baked in plus a full command set 0:00 the problem + what impeccable actually does 1:33 real example + how the anti-pattern scanning works 3:05 baseline redesign without impeccable, for comparison 5:01 installing it + unlocking the commands 6:17 /impeccable teach → craft workflow 8:22 critique + animation the teach step is the unlock: one-time setup where you give it your audience, use case, brand personality, it saves that to a file and every session after references it instead of guessing same claude, same prompt, the difference is it now has a list of exactly what not to do instead of vague "make it nice" if you're still shipping the default inter-font gradient special, this is the fix anyone else instantly clock ai-generated sites on sight now, or is that just me

One of the best parts of my trip to Japan was getting to meet so many friends from the Renaiss community. 💜 Thanks our boss @Plus_Ultra_715 for treating us to delicious foods~ Glad @SiNaToDdFelix, @corang_ee, @lilyuzuu, @harryinhk ,@StephenSu9527, @wonnie ,@Mark_Memelord, @snoopylee115 joined our Renaiss lunch. It was so nice spending time talking about collectibles, cards, and everything with each other. After lunch, we headed to Akihabara together to check out some card shops. Huge thanks to @wonnie for inviting me to open a pack… and somehow I pulled Nami! ✨ Collecting has never been just about owning a card. It’s about the people you meet, the memories you make, and the connections you build along the way. Thank you to everyone who made this Japan trip so memorable, and creating these moments with Renaiss. Looking forward to seeing Renaiss community in another region! @renaiss_cmty @renaissxyz

What matters more when naming a startup? a great name on a less familiar domain extension, or a weaker name with the exact .com? I usually lean toward the .com, It's easier to remember and just feel natural but is increasingly difficult to get curious to see other's thoughts!

Tepper Sports & Entertainment and the Carolina Panthers have released new renderings of the Bank of America Stadium renovation project. This is in conjunction with announcing a long-term extension of their naming rights partner Bank of America and a significant additional private investment from owner David Tepper to the renovation. The initial upfront cost is now expected to be north of $1.3B — which includes the addition of new fan gathering spaces, a 500-level social patio and a 4,400 seat entertainment venue. The phased project is on track to be fully completed in 2030.

On June 10, the city of New York celebrated Jimi Hendrix's enduring legacy by co-naming West 8th Street as "Jimi Hendrix Way." This milestone is a testament to years of dedication from family, friends, fans, and community members determined to honor Hendrix's legacy. Together, they ensured that his story remains woven into the fabric of Greenwich Village. "A street sign may seem like a simple thing, but streets tell stories," explains Janie Hendrix. "They remind us who came before us and whose contributions helped shape our communities. From this day forward, every person who walks past this corner will be reminded of a young musician who dared to imagine something different and, through talent, perseverance, and creativity, changed the world." #jimihendrix# #jimihendrixway# #newyork# #greenwichvillage#