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b20快出来的前一天晚上就埋伏了base人生,想着b20应该能带动一波base的情绪,没想到这么垃圾,就清仓了 结果突然coinbase开放中国人认证😅 还是不够砖啊
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既然,CZ被美国特赦,全力支持美利坚,是不是要支持下Base? 1.Baseapp支持的第一个meme $Base人生 X402协议 龙一: $ping 已经40M了,我不敢追了,很多人都没反应过来。这个叙事太牛逼了! 2.又买了一点 #base人生,给我来回割,麻了# @jessepollak 另外提一嘴,在OKX钱包里用base_eth跨链兑换着麻烦可以使用他们交易所里面的dex交易,ca直接可以用交易所里的eth/usdc来交易。体验码:M5CiH0XU6uHW2
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任何链都需要Meme代表精神 ETH是Shib、Pepe BSC是币安人生 Sol是Bome、Trump Xlayer是Xdog Base是哪个??
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FAN SZN with @IPXExchange As a creator, do I ever hold the raised money directly? Only the part that's unlocked. The rest stays in escrow until its stage is approved. Picture a concert tour: Ticket sales sit in a box-office account the tour manager can't touch Each stage's installment opens only after that stage is signed off The tour manager takes one installment at a time, never the whole box at once Here's how it works, per IPX: 1. Raised capital never sits in a creator's wallet. It's held in a non-custodial smart contract escrow 2. Before the raise, the creator submits a line-by-line budget. IPX says its AI agent, Alfred, sets it up in a contract tied to milestones, and that CertiK audited it 3. After the project graduates, its budget moves into a separate escrow. A stage unlocks once the creator submits proof and the platform approves it, and then it's available for the creator to transfer My read: as a creator, I'd hold an installment only after I prove its stage, and never the whole raise up front. Real count, from IPX's text: it names 3 example stages: pre-production, filming and post-production. Made-up scenario, not a real project: a film uses those 3 stages. Pre-production is approved, so 1 of 3 installments is available to transfer. Filming and post-production stay in escrow until they pass their checks. My take: the first thing I'd ask is how long an approval takes. If a stage sits locked while I wait, that could hold up the whole shoot. What comes out the other end, per IPX? • Each stage's installment, after its milestone is approved • A record of every request, approval and release on IPX and Base, so supporters can follow along • What a creator pays, if anything: I didn't find it listed, so I'd check the project terms The honest part: • IPX says unlocks happen automatically with no human gatekeepers, and also says the platform approves each milestone. I couldn't find how those fit together or how long an approval takes • The Defiant labels the announcement "Presented by IPX," and I haven't seen anyone outside IPX confirm how it runs • I haven't seen it run on a live project yet So before I launch, I'd find out who approves each milestone and how long an approval takes. I'll want both answers before I confirm. Why this matters for creators and fans: → Creators know the payout path before they launch → Fans can see which stages are open and follow each release → Both sides work from the same milestones Source: IPX's router announcement and its KPI-Gated Escrow announcement Which would you check first: the budget lines or who approves each milestone?
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Diffusion language models can rewrite their own drafts — but rewriting the wrong span just reproduces the same mistake. Remasking lets these models revisit generated text, yet they have never had a good sense of when a revision is worth it. DiVR adds a verifier that predicts whether a partial sequence will still reach the right answer, then decides when to regenerate a block and which alternative to keep. On LLaDA-8B-Base across five reasoning benchmarks, average accuracy rose from 35.3% to 43.4% at 1.9–3.5× the cost of greedy decoding — while search baselines needed 3.8–7.4× the compute for worse results. The practical payoff: a real accuracy lift without touching or retraining the generator, and the verifier even transfers to other generators like Dream. The catch is still multiplied compute, so latency-sensitive deployments need to do the math first. Would you trade 2–3× compute for an 8-point accuracy gain on your own reasoning tasks? #DiffusionLM# #LLMReasoning#
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最近 KOR 的交易所上架动态值得留意,我反而想先聊聊它的代币经济结构。 很多人看到新币上线,第一反应就是看价格、看成交量,但我觉得真正想研究一个项目,还是得先搞清楚筹码结构和项目本身有没有长期需求。 @KorProtocol总供应量固定为 100 亿枚,按照官方公布的代币经济学,TGE 初始解锁约 22.87%,团队和投资人 TGE 零解锁,锁仓一年后才开始释放。 这几个数字值得记下来。 初始流通比例会影响早期市场的供需关系,而团队和投资人的解锁安排,则是后续需要持续跟踪的变量。当然,低初始流通不等于价格一定上涨,具体还要结合成交量、持币分布和实际流通情况判断。 再看项目基本面,KOR 在 Base 上做创意资产的发现、核验、商业对接和稳定币结算,已经有 Pacer、Korus 等产品落地。官方披露产品侧毛收入超过 200 万美元,KOR ID 铸造量超过 15 万。 这意味着它至少有真实产品和业务作为支撑,而不是完全依赖代币叙事。 现在基金会、代币经济学、MiCA 白皮书都已陆续公布,交易所上架也为 KOR 带来了新的市场关注度。 接下来我会重点观察三个方面:实际流通量变化、链上持仓结构,以及产品业务能否继续增长。 对 KOR 来说,上架只是开始,真正的考验还在后面。 #KOR# #KorProtocol# #Base#
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Is Shiba Inu gaining holders even as its price struggles? SHIB added roughly 150,476 net addresses between the start of 2026 and Nov. 13, according to daily Etherscan-based holder tracking. That puts its holder count at 1,699,106, just thousands short of 1.7 million. The growth continued through months of price weakness. Many days saw hundreds of new addresses enter the count. But there's a catch: holders aren't necessarily people. The figure includes exchange wallets, smart contracts and users with multiple addresses. Even wallets with tiny SHIB balances count. More addresses don't automatically mean stronger demand, fresh capital or a price recovery. Is SHIB's expanding holder base a sign of resilience, or is the market right to ignore it?
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DeepSeek 官方说 deepseek-flash 能直接看图,三种传图方式,一次最多 600 张 建议收藏,用到时照着做。做完你能让 DeepSeek 读截图、看图表、描述图片。 这是 DeepSeek 官方 API 文档 Vision(视觉)一页。先说结论: 官方写明,deepseek-flash 模型可以文字加图片一起输入,用来描述图片、读截图里的字、分析图表。 先说清词。 Vision,视觉输入,意思是让模型看图。 base64,是把图片文件转成一长串文字,直接塞进请求里的编码方式。 file_id,是先把图片传到官方的 Files API(文件接口),拿回来的一个编号,之后用编号代替图片。 先把话说全: 官方支持的图片格式是 JPEG、PNG、GIF、WebP,官方说格式按文件真实内容判断,不看文件名。 官方写明,assistant(模型自己的)消息里放图片,会返回 400 错误;图片只能放在 user、system、tool 消息里。 一、三种传图方式 第一种:base64 内联。官方说最适合本地文件,把图片编码后做成 data: 开头的地址放进请求,整个请求体上限是 48 MiB。 第二种:外部图片链接。给一个公开的 http 或 https 地址,官方限制:链接最长 8192 个字符,图片最大 32 MiB,下载要在 60 秒内完成。 第三种:Files API 的 file_id。官方说同一张图要反复用,或者图太大,就先上传再用编号。这种方式图片可以到 64 MiB。 二、请求怎么写 第一步:model 写 deepseek-flash。官方说旧名字 deepseek-v4-flash-vision-exp 还能用,但已经退役,实际由最新的 Flash 模型处理。 第二步:messages 里 content 不再是一句话,而是一个列表,里面一块是 text 文字,一块是 image_url 图片。 第三步:Responses API 也能传图,图片放在 input_image 里,文字放在 input_text 里。 三、detail 清晰度开关 官方写明,image_url 可以加 detail 字段。low 会把图缩到 512×512 再看,更快更便宜;high、original、auto 目前都是保持原图。 四、费用和上限 官方说图片按尺寸换算成 token,和文字一起计费。每张图最多 1024 个 token,因为太大的图会先被缩到约 1300×1300 的像素量。 官方给的上限:每次请求最多 600 张图;单边最长 8192 像素,一次放 15 张以上时降到 4096 像素;不含 file_id 的图合计 64 MiB,含 file_id 最多 200 MiB。 五、用 Anthropic 接口也行 官方说把 base_url 写成 image 块,source 的 type 可以是 base64、url 或 file。用 file 时要加请求头 anthropic-beta: files-api-2025-04-14。 常见坑 3 条: 一、把图片放进 assistant 消息,会直接报 400。二、外链图片超过 32 MiB 或 60 秒下不完,就改用 file_id。三、一次放 15 张以上,单边别超过 4096 像素。 复制即用的提示词:请描述这张图片,列出图里所有文字,再用三句话总结它想说明什么。 收藏版:5 步速查 一、model 写 deepseek-flash。二、选 base64、链接或 file_id 传图。三、content 写成文字块加图片块。四、格式用 JPEG、PNG、GIF、WebP。五、别把图放进 assistant 消息。 S1哥 观点:官方把每张图封顶 1024 个 token,说明传图比很多人想的便宜,截图问答可以放心大量用。 一句话结论:DeepSeek 读图,认准 deepseek-flash,小图用 base64,大图或重复用 file_id。想让朋友少踩坑,复制链接发给他。 你是想让它读截图还是看图表?卡在第几步?同系列前几篇在我主页。 参考:DeepSeek 官方文档 Vision(S1哥 整理) 今天送:DeepSeek 看图请求自检清单,评论区第一条直接拿。
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炸裂!Claude Fable 5.2 免费了😳 走 API 就能调,而且不用绑卡 用法如下: 1. 打开 2. 登录,新建一个 API Key 3. 模型填 claude-fable-5-2 4. Base URL 填 > 每天送 $5 免费额度 同一个 Key 还能调 opus 5.5、sonnet 5.5、gemini 4、grok 4.7、kimi k3.1 等一堆模型 趁还免费赶紧试试!
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