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@sai_superai: Super Artificial Intelligence, the Super AI meme coin with its own prediction games. @NEXST_AI: designer of the SAI app. @thecreatorfi: the creator campaign platform behind this $SAI campaign. Honest take today: the rhino refuses to wake up, and the crowd keeps growing anyway. #ad# This morning the rhino volunteered to chair the snack committee. Last night it asked a robot to convince it to wake up. The whole mascot in one joke: a superintelligence that acts like me before coffee. And yet the numbers moved while it slept. Followers went from 2,532 to 4,233 overnight. People are not just laughing at the rhino, they are watching what comes next. What comes next is the part I keep coming back to. $SAI is Super Artificial Intelligence, a meme coin that turns AI creations into prediction games — AI makes, everyone calls the winner. NEXST's SAI Arena Season 0 closes today, results tomorrow, and the app launch targets Nov 20 on Fair launch, too: 1B fixed, 0% tax, 0% team, half the supply in the pool, locked or burned. No insider head start. The rhino sleeps. The countdown doesn't.

My Acurast Phone Farm Is Earning ACU While I Sleep I started with one question: what is my spare phone actually doing while it charges overnight. Right now it is running @Acurast Processor Lite. Not a data center, just my OPPO Reno6 Z on my desk. What makes it interesting is the proof on screen. Compute Status Active, Attestation Attested, heartbeat one minute ago, and a balance already at 0.27 ACU. The real test isn't the number. The same phone can run real AI work, and it does it while I sleep. If you have a spare phone, put it to work too: #depin# #acurast# #phonefarm#

ChatGPT can now buy things for you. On Friday OpenAI launched ChatGPT Wallet, so its AI agents can check out with your card. What’s actually in it: → Your card number isn’t shared with the agent or the store. It pays with a substitute → You review the items and the total, then approve every purchase with Face ID or a fingerprint → No spending limits yet. OpenAI says they’re coming → For now it’s a limited rollout to some US ChatGPT Pro users That approval tap is the part to take seriously. In a Cisco and Carnegie Mellon study, AI agents picked pricier options for users they thought were rich, and a clear budget nearly closed the gap for most models. So if you try it, give the agent a number and read the total before you approve. Would you let an AI agent buy something for you? Sources: OpenAI, TechCrunch #AI# #ChatGPT#

Who decides the answer to a prediction market? Usually the creator. Or an AI on a server nobody can check. So we built Noa Court - an AI resolver for Noa, live on NEAR mainnet. In the video we ask Gemini a vague question: "will the NEAR hackathon get more than 2000 projects?" - It finds the real source (Nearhackathon API) and samples it live: 1,803 right now - Turns the vague question into precise, hashed rules - We review the market and sign with a NEAR wallet - Market #27# goes live on Noa, published with readable rules How it resolves: - One Court contract, one pinned resolver running in an @out_layer TEE - Anyone can trigger it. Nobody can pick the answer - Numbers? Decided by code - Words? 3 NEAR AI judges must all agree and quote the evidence Asked "did a crypto hack make the news?", all 3 judges quoted a headline that never says "hack". It refuses to guess: - Prompt injection - flagged - Dead or changed source - void + refund Works with prices, NEAR tokens (powered by Intear & JustHoot), news feeds, web pages, any JSON API. Plug it into any market, contract or agent. Add the MCP to Claude, ChatGPT, Gemini - any AI that speaks MCP: Code: What would you never let an AI resolve? Built at NEAR HACKATHON @NEARProtocol @NearBuilders #NEARHackathon#

Anthropic set November 19 for its Nasdaq debut, at a $70 to $78 range that values the company at up to $1.45 trillion. In the clip below, CEO Dario Amodei tells NBC News what that means for someone just starting out: "It can do entry-level law work. It can do entry-level finance. It can do entry-level consulting." He also said we can't deny it will eliminate jobs, probably a large number of them. His first advice: learn to use AI. The scarce skill is moving from landing that first job to running the tools that already do it. Is "learn to use AI" still enough, or is that first job already the model's?

This is f*cking insane. Anthropic CEO Dario Amodei was asked what a kid finishing high school should do now. His answer: "AI can do entry-level law work. It can do entry-level finance. It can do entry-level consulting We can't deny that it will also eliminate jobs, and probably a large number of them" In a few minutes he names which jobs go first and the one skill that keeps you in the game His own prediction: 50 percent of entry-level white-collar jobs disrupted in the next 1 to 5 years Prompts → Agents → AI Coworkers → Entry-Level Work Done By AI Farming to factories took generations. This time AI hits every step of a career at once His advice fits in one line: "Of course, learn to use AI" The people who start this year won't be competing with AI, they'll be the ones running it Everything below is free. Start today: Anthropic - Prompt Engineering Interactive Tutorial: the fastest way to learn to direct a model Anthropic Courses: from your first prompt to running agents Anthropic Cookbook: real task recipes you can copy today Microsoft - Generative AI for Beginners: 21 lessons, no degree required Microsoft - AI Agents for Beginners: build agents that do the entry-level work for you Hugging Face - Agents Course: free and certified, start to finish Google Cloud - Generative AI: Google's own hands-on notebooks OpenAI Cookbook: code for every common task - Prompt Engineering Guide: the reference everyone links to Andrej Karpathy - Neural Networks Zero to Hero: understand what is under the hood CrewAI: run a small team of AI workers Microsoft - AutoGen: put several agents on one job Awesome LLM Apps: hundreds of real builds to learn from - Short Courses: free 1-hour courses from the people who teach this Total cost: $0 You don't need another year of tuition to learn this. You need to start telling AI what to do 95% will graduate and compete with AI for the same entry-level job The 5% who learn to run it this year will manage the agents doing that job Save this and send it to someone graduating this year

Elon Musk was asked how long until there is regular travel to Mars. His answer was not about rockets. He said the threshold that actually matters is whether Mars survives if the ships from Earth stop coming. That means every input: air, food, fuel, spare parts, medicine. He compared it to a long sea voyage where the only thing missing is vitamin C. One missing item and the colony dies on schedule. The ships could stop for reasons that have nothing to do with Mars. A war. A decline. An asteroid. His line: civilisation on Earth can end with a bang or a whimper. That is insurance logic, and it is the honest way to describe the Mars plan. Every policy has a premium, a probability and a payout. The payout here is the survival of the species, so the premium is nearly impossible to argue against. The probability is the part nobody can price. Which creates a strange corporate problem. The premium gets paid by companies whose shareholders will not be the ones rescued if the policy ever pays out. SpaceX is private, so its investors signed up for that. A public company could not easily spend decades of free cash flow on a backup planet and explain it on a quarterly call. The other catch is that redundancy is only worth what you spend testing it. A city is not self-sustaining because the plan says so. It is self-sustaining the day the ships stop and everyone lives. So the number worth watching is not the landing date. It is the date Mars stops needing Earth. Nobody is selling a ticket to that.

X AI ALGORITHM UPDATE (BIG ONE) 🚨 X updated their open source algorithm yesterday and the biggest number in it is gone: copy link went from 20 to 0 points. Small accounts should focus on: posts people like, reply to and stay on (so stop counting on link copies) tl;dr: - on Nov 13 X's open source code set the score for copying a post's link to 0 - copy link: 20 → 0 - it was the top score in the whole system, 4x a reply - the code also names a "copy link bait" spam check - likes (0.708), replies (5) and DM shares (5) didn't move full details: - The number that's gone Since I started reading X's open source code in August, one number sat at the top: 20, for someone tapping share and copying your post's link. Nothing else came close. As of the Nov 13 release, it's 0. X still guesses who'll copy your link. It just multiplies that guess by 0 now. X didn't explain it. It's just what the code says. (I check the open source algo daily with Claude and share updates with you) - Cross it off your list My own checklist called copy link the biggest number. Last week's post said it too. It was true then. It isn't now. If you saved that list, cross that line out. - The "copy link bait" check X's code now mentions a spam check called "copy link bait". In the code it adds a spam label to the post, and that label already keeps a post out of strangers' feeds. It only shows up in a test, so I can't see if it's running or how strict it is. My read: X saw people baiting link copies, so it turned the score off and built something to catch the bait. That's a read, the code doesn't say why. - Why that matters if you're small If your plan was posts people copy the link to, that plan now earns 0 in X's ranking. A copied link can still bring people in from outside X. It just doesn't push your post up anymore. What still pays: likes at 0.708 (the highest ever), people staying on your post, replies at 5 and back and forth with mutuals at 20. - Also new: photo and video tags If a post has a spam label, people you tag in its photo or video who don't follow you won't get notified. Same idea as last week's rule for replies. - What didn't change Every other score. Your new posts still get their extra push in the first 2 hours and first 200 views, and early likes still pick which one gets it. Here's a recap of what you should be doing: - aim for likes, replies and time spent, the copy link score is gone - a DM share still earns 5, same as a reply or a quote - likes sit at 0.708, never higher - time on your post keeps counting at its best rate yet - 10+ seconds after someone taps in adds 0.385 - write your replies yourself, under big accounts most of all - give people a reason to hang around your profile - in videos the opening seconds carry it, an open alone scores 0 - posts read to the end help X find you strangers - smaller accounts (below 50K) get a shot at a spot near 16 for a fresh original - early likes decide which new post gets that spot - post when your followers are awake, the push lasts 2 hours and 200 views - mutuals going back and forth earn 20, so follow back the regulars - only your originals ever get shown to strangers - like 1 and like 32 each unlock another way to reach strangers - one strong post per feed, your second only counts 62% - clips longer than 10 seconds for the video lists - a post likely to win you a follow gets +4 - give your pinned post a look, it can affect the whole account What you should NOT be doing: - counting on copy link shares, they score 0 now - baiting link copies, the code names a spam check for exactly that - a spam label also stops your photo tags reaching non-followers - AI-written replies under big accounts, "llm slop" is a flag X uses - copy-paste replies, labeled ones skip non-followers' notifications - chasing taps, 0.274 and dropping - drifting off your topic, each probable "not interested" takes 53.07 away - videos people open and leave, the open itself earns 0 - posting at 3am, it wastes the 2 hour push - expecting replies and reposts to reach strangers - an insult label, it hides that post from non-followers - earning a misinfo or low quality label, which adds a warning and locks strangers out of liking or sharing - 3 adult photos or videos among your latest 5 posts, that puts a label on you - forgetting videos get rechecked at 64 and 512 likes - one account label and strangers stop seeing you - pinning a link to a site X rates badly, that can mean a label for a week - posting your own old words again risks the copypasta flag - a low quality link plus tagged strangers reads as spam - bait for engagement, big or small it gets a label - several posts back to back, they split the same feed - hashtag piles, they do nothing - bookmarks for reach, they score 0 - hoping a 3 day old post still lands in For You, it stops at 2 days

🚨 THIS IS WHY BITCOIN KEEPS CRASHING BELOW $67,000 If you still think Bitcoin trades like an asset whose price is determined purely by spot supply and demand, you need to read this carefully. Because that market no longer exists. What you’re watching right now is NOT normal price action. This isn’t just an AI stock sell-off. This isn’t just hotter inflation. And this definitely isn’t retail suddenly deciding to dump Bitcoin at the exact same time. Most people have no idea what is actually happening. And by the time it becomes obvious, the damage is usually already done. This didn’t start today. It has been building underneath Bitcoin for YEARS. And now it’s accelerating. Here’s the truth: Bitcoin still has a hard cap of 21 MILLION coins. But Wall Street can create almost unlimited financial EXPOSURE around those coins. That distinction changes everything. Because once derivatives dominate short-term price discovery... Bitcoin stops trading purely on who wants to own the actual coins. It starts trading on: 1) LEVERAGE. 2) HEDGING. 3) MARGIN. 4) LIQUIDATIONS. 5) FORCED SELLING. And that is exactly what is happening right now. It’s the same mechanism that repeatedly drives violent moves in: → Gold → Silver → Oil → Stocks Once derivatives become large enough, spot buyers are no longer the only force setting the price. And this is the part almost nobody understands: Bitcoin’s scarcity didn’t disappear. But scarcity alone no longer controls the SCREEN PRICE. Wall Street built an entire financial layer on top of Bitcoin: → Cash-settled futures → Perpetual contracts → Options → ETFs → Broker lending → Swaps → Wrapped BTC The 21 million cap controls the COINS. It does NOT cap the amount of leveraged exposure that can be created around them. And once that leverage starts unwinding... The market doesn’t care what the long-term thesis is. It SELLS. Look at what just happened: Over $1.9 BILLION in leveraged crypto positions wiped out in 24 hours. More than $1.1 BILLION liquidated in Bitcoin alone. Spot Bitcoin ETFs have already seen roughly $1.9 BILLION in outflows this month. Once leveraged selling overwhelms real buyers, price stops responding only to long-term demand. It starts responding to positions. Hedging. Margin calls. And cascading liquidations. Wall Street does not need to own millions of physical Bitcoin to push the market around. It only needs enough derivatives exposure and enough leverage sitting in the wrong place. The playbook is brutally simple: 1st: Build enormous leveraged exposur 2nd: Push price through obvious liquidity 3rd: Trigger stops and liquidations 4th: Forced selling pushes price even lower 5th: Buy back into the panic 6th: Repeat THIS is why Bitcoin can lose thousands of dollars while the number of coins on-chain barely changes. The coins didn’t suddenly disappear. The PRICE DISCOVERY mechanism changed. That’s what people are missing. Bitcoin is still scarce. But the financial claims built around Bitcoin are NOT. And when leverage controls the marginal trade... 21 million coins can behave like a market with FAR more supply than 21 million coins. That’s not the Bitcoin market retail thinks it is trading. That’s a WALL STREET PRICING SYSTEM built on top of Bitcoin. You can choose to ignore it. But don’t pretend nobody warned you. Bitcoin is now trading around $66,600, its lowest level since August and roughly 48% below the $126,200 high. If $65k breaks, the next level I’m watching is $62k. Reminder: I called the Bitcoin top at $126,000 and told you to start buying again around $60,000. The next call will matter even more. When I EXIT the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

建议收藏，用到时照着做。做完你能让 DeepSeek 自己决定“要不要调用你写的函数”，并把结果用人话讲回来。 AI 能查天气、查订单，是它自己去查的吗？DeepSeek 官方一句话拆台：模型本身不执行任何函数 这是 DeepSeek 官方 API 文档里 Tool Calls（工具调用）一页。先说结论： 官方原话是，函数要由你自己提供，模型本身不执行具体函数。它只负责说“我想调这个函数、参数是这些”，真正去跑的是你的代码。 先说清词。 工具调用（Tool Calls），是让模型能用外部工具的功能，比如查天气、查数据库。 函数（function），是你自己写好的一段代码，模型只会“点名”它。 tool_call_id（工具调用编号），是模型每次点名时附带的一个号码，你回传结果时要带上它，模型才知道你在回答哪一次。 strict 模式（严格模式，Beta 测试版），是让模型点名时严格按你定义的格式填参数。 一个真实例子：官方示例问“杭州天气怎么样”，模型返回的是 get_weather 这个函数和参数 location 等于杭州，你的代码去查到“24℃”，再交给模型，模型才说“杭州现在 24 度”。 先把话说全： 官方示例用的是非思考模式，请求里加 extra_body 把 thinking 的 type 设成 disabled。 官方写明：从 DeepSeek-V3.2 开始，思考模式下也能用工具调用，细节看官方 Thinking Mode 一页。 官方写明：Chat Completion 接口不支持在对话中间插入不是模型生成的工具调用，要插的话请改用 Anthropic API 或 Responses API。 strict 模式目前是 Beta，要用测试版地址。 一、先看懂整个流程 官方给的执行流程是四步：用户问杭州天气；模型返回要调用 get_weather，参数是杭州；你的代码真的去调用 get_weather，把结果交给模型；模型用自然语言回答“杭州现在 24 度”。 二、照官方示例做一遍 第一步：去 DeepSeek 开放平台拿一个 API key，电脑装好 Python 和 openai 库。 第二步：创建客户端，base_url 写 DeepSeek 官方接口地址（官方文档第一屏就有），api_key 填你的。 第三步：写 tools 清单。每个工具包含 type 等于 function，再写 name（函数名）、description（描述，告诉模型什么时候用）、parameters（参数）。官方示例的函数叫 get_weather，描述是“获取某地天气，用户须先提供地点”，参数 location 是字符串，并且在 required 里。 第四步：发第一次请求，model 官方示例写 deepseek-flash，把 messages 和 tools 一起传，并加上 thinking 关闭的设置。 第五步：从返回里取 tool_calls 的第一项，先把模型这条消息原样追加进 messages。 第六步：你的代码去执行函数，再追加一条 role 是 tool 的消息，带上刚才的 tool_call_id，content 写结果，官方示例写的是 24℃。 第七步：再发一次请求，这次模型就会用自然语言回答。 三、想要更稳：strict 严格模式 第八步：base_url 改成官方文档里写明的 beta 版接口地址（就是原地址后面加 /beta）。 第九步：每个 function 都加上 strict 等于 true。 第十步：服务器会检查你的 JSON Schema（结构说明），格式不合规或用了不支持的类型，会直接返回错误信息。 官方支持的类型是：object、string、number、integer、boolean、array、enum、anyOf，另外 $ref 和 $def 可以复用和做递归。 四、strict 的硬规矩 对象里所有属性都必须写进 required，并且 additionalProperties 必须设成 false。 字符串可以用 pattern（正则）和 format，官方列出的格式有 email、hostname、ipv4、ipv6、uuid，但不支持 minLength 和 maxLength。 数字支持 const、default、minimum、maximum、exclusiveMinimum、exclusiveMaximum、multipleOf。 数组不支持 minItems 和 maxItems。 五、看到什么算成功 第一次返回的是函数点名，不是答案；第二次返回的才是自然语言答案，内容里有你的函数结果。 六、卡住怎么办 strict 报错：先检查是不是漏写 required 或忘了 additionalProperties 设 false，再检查有没有用到 minLength、maxItems 这类官方不支持的写法。 结论：工具调用不是模型替你干活，而是模型“点名”、你的代码“动手”。想让点名更准，就用 strict。把这条复制链接发给他，下次他说 AI 查不到东西，先让他确认函数是不是自己写了。 你卡在第几步？评论区告诉我。同系列前几篇在我主页。 收藏版：5 步速查 一、tools 里写清函数名、描述、参数 二、第一次请求拿到 tool_calls 三、自己执行函数，回传 role 为 tool 的消息并带 tool_call_id 四、第二次请求拿到自然语言答案 五、想更稳就用 beta 地址加 strict 等于 true 常见坑 3 条 一、以为模型会自己执行函数，其实要你的代码去跑。 二、回传结果忘了带 tool_call_id。 三、strict 里漏了 required 或 additionalProperties 设成 false。 复制即用提示词：我想让模型调用一个叫 你的函数名 的函数，它需要这些参数：写参数。请帮我写出符合 DeepSeek Tool Calls 格式的 tools 清单，每个参数都写 description，并改成 strict 模式需要的写法。 S1哥观点：这篇最狠的地方，是官方把话挑明了：模型不执行函数，只负责点名。很多人以为 AI 在后台自己动手，其实动手的永远是你的代码。 真正的信号是：工具调用的难点不在模型，在你把函数描述写得多清楚。就像派活给新人，说明写得含糊，他再聪明也会点错人。 你现在想让 DeepSeek 调用的是什么，查数据还是发消息？评论区告诉我。 今天送：DeepSeek 工具调用速查卡，评论区第一条直接拿。 参考：DeepSeek 官方 API 文档 Tool Calls（S1哥 整理）