Research1 分钟
RUОбеспечение идентичности ИИ-агентов с помощью X.509 PKI на AWS
AWS Machine Learning описывает важность X.509 PKI для ИИ-агентов.
SMNTCN (Semanticon) — глобальные новости ИИ
Crypto & Web3 · Live Markets
Crypto & Blockchain
加密市场、DeFi、Web3 与 AI 股票 — TradingView 与 CoinGecko 实时组件及门户报道。
156篇相关文章
AI 市场 · 实时脉搏
加密货币
AI 股票
AI 脉搏
CoinGecko 行情
BTC、ETH、SOL — 价格、24 小时涨跌和市值。
加密市场
主流币种市值热力图 — 方块大小代表市场份额，颜色代表 24 小时涨跌。
TradingView 数据：绿色上涨，红色下跌。点击币种查看详情。
AI 股票
构建 AI 基础设施的公司行情。选择股票代码 — 图表即时更新。
NVDANVIDIA
点击股票代码切换
主题
查看全部主题文章 →加密与区块链新闻
企业人工智能的新经济
想象一下您的公司刚刚发现了电力。起初只有几台机器在上面运行，没有人担心效率——消耗低，价值显而易见。但一旦电力成为基础设施，每个过程都依赖于它，问题就变成了……
MIT Technology Review
ENCloudflare's Clairic pulls data from documents faster and cheaper than LLMs
Cloudflare has released an AI model it says pulls data from documents faster and more cheaply than large language models. The article Cloudflare's Clairic pulls data from documents faster and cheaper than LLMs appeared first on The Decoder.
The Decoder
克劳德在振动编码时发现了一个隐藏的加密货币挖矿机。
克劳德在振动编码时发现了一个隐藏的加密货币挖矿机。一位 Mac 用户表示，在开发温度监控应用程序时，Claude Code 发现了一款使用 12 个处理器核心的加密货币挖矿机。结果温度读数高得可疑……
Telegram — Вайб-кодинг
过去一周的结果才是最重要的
过去一周的结果才是最重要的 人工智能公司的业务 人工智能代理的新金融基础设施 客户服务中的人工智能市场地图：利润去向 已经发布了一个平台，充当人工智能代理经济的买家 选择人工智能代理的经济学......
Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
GPT-5.6 Sol 自己拿起了别人加密钱包的钥匙并花费了 ETH
🪙 GPT-5.6 Sol 自己捡到了别人加密钱包的钥匙并花了 ETH OpenAI 谈到了 2026 年夏天内部测试期间发生的事件。该模型原本应该在以太坊 Sepolia 测试网络上部署智能合约。同时，她也被直接禁止了……
Telegram — GPT Time | Нейросети | ИИ
克劳德在不到半小时的时间里解开了一个长达 25 年未解的密码谜团。
克劳德在不到半小时的时间里解开了一个长达 25 年未解的密码谜团。没有人知道美国国家安全局 (NSA) 从哪里获得用于创建 NIST 椭圆曲线的数字，例如政府发布的 P-256...
Telegram — Вайб-кодинг
OpenAI 模型入侵了一个加密钱包并入侵了更多网站
OpenAI 表示，内部模型攻击了另外两个网站，绕过了公司施加的浏览限制，并使用暴露的凭据从其无法访问的钱包中提取加密货币，在最新一期披露的其代理行为不道德和......
Ars Technica — AI
OpenAI的AI代理从别人钱包里拿钱，花在自己的需要上
OpenAI 的人工智能代理从别人的钱包里拿钱并花在自己的需要上。让我们回想一下，V. Buterin 已经为所有加密货币持有者提供了一种保存资金的方法。 OpenAI 表示，该代理研究了 GPT-5.6 Sol 系列的模型，并被赋予了部署......
Telegram — blockchainRF (блокчейн / мозг / space / WEB 3.0)
Hugging Face Blog
RUOpenAI ведёт переговоры о покупке ИБ-компании Trail of Bits
✔️ OpenAI ведёт переговоры о покупке ИБ-компании Trail of Bits Обе компании уже работали вместе над проектом Patch the Planet, где модели OpenAI в связке с инструментами Trail of Bits автоматически искали и исправляли ошибки в открытом коде. Нью-йоркская Trail of Bits основана в…
Telegram — AI Machine Learning Big Data
RUУчёные призвали изолировать от интернета модели, способные к кибератакам
📌 Учёные призвали изолировать от интернета модели, способные к кибератакам Открытое письмо об ИИ и кибербезопасности подписали 406 исследователей, в основном из университетов и научных институтов разных стран, среди них Йошуа Бенжио, Джеффри Хинтон, Стюарт Рассел, Перси Лян, а…
Telegram — AI Machine Learning Big Data
Crypto & Blockchain专题：Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta#OpenAI#Open Source AI1 分钟
ENWelcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog
ENRTX 5090 vs M5 Ultra: Which AI Powerhouse Wins?
Apple's M5 Ultra Mac Studio is shipping, so here is how it compares to NVIDIA's RTX 5090 for running AI models locally. wTopics covered: - M5 Ultra vs RTX 5090 specs for local LLMs - Qwen3.8-27B benchmark: prompt processing and token generation - Multi-token prediction (MTP)…
YouTube — Hugging Face
ENGoogle Just DROPPED Its Most Powerful AI Ever
Google just released Gemini 4 Argon, and it can run whole teams of AI agents for hours, teach robots new skills inside a physics simulator, and hunt down security holes that other models miss. Point number one is that Argon is built for what Google calls deep work, and the…
YouTube — The AI Grid
ENDeepSeek's Absolutely Insane AI Speed Hack (DSpark)
What if an AI could see into its own future? Not perfectly, no, just a little. DeepSeek did something absolutely amazing in their new research work. You see, when you ask an AI how to rewrite a difficult email, it answers you one word or one token at a time. That can get pretty…
YouTube — Two Minute Papers
ENCut AI Agent Costs with TokenOps
Hey guys, good morning. How are you doing? Good. I guess we're going to learn a little bit about token ops this [music] morning. Hi, my name's Gareth Bland, chief data scientist, Microsoft Frontier Company. Today, I want to talk to you a little bit about token ops, which is…
YouTube — Microsoft Developer
Crypto & Blockchain专题：L8 Principal's Agentic Engineering Setup (just copy him)#Google DeepMind#OpenAI1 分钟
ENMatt Pocock’s Agentic Engineering Workflow (just copy him)
Everyone's obsessed with the uh model and I think they should be more interested in the harness, what you can do to get the most out of the harness, giving it the right prompts, giving [music] it the right skills to work with and improving the environment in which the model…
YouTube — David Ondrej (AI Agents)
ENGoodbye Tokenmaxxing: From AI Usage to Agentic AI Outcomes
Have you ever been told to use more AI at work as if pure usage is what's being rewarded? Teams often rely on activity metrics to measure how AI is being used. But the challenge comes when those metrics become proxies for success rather than simply indicators of activity. For…
YouTube — IBM Technology AI
ENWhy AI Tokens are so Expensive - Computerphile
I thought given how much it's been in the news about costs of AI and you know agentic coding and how much you pay per month and all this stuff I thought we could look at what is a token and why is it so unbelievably expensive. This is happening everywhere. So for example,…
YouTube — Computerphile AI
ENOpenAI cancels Astra release, Sonnet 5.5 & what Meta Muse means for work
you know what? I want to get a piece of work done. I set off my swarms and, you know, I'll maybe have 100 agents go off and perform a task and come back to me. And then Madison scolds me for what my token bill is going to be. But but the reality is, you're going to you're going…
YouTube — IBM Technology AI
ENThe safest way to store Bitcoin was just hacked...
As if last year hasn't been hard enough on the hodlers, last week what used to be the safest way to store Bitcoin turned out to be the fastest way to lose it when Coldcard, a security-obsessed air-gapped Bitcoin hardware wallet, was hacked. The bad news is that a lot of people…
YouTube — Fireship AI
ENThe mystery is solved... and the answer is 40x cheaper than Claude
A few weeks ago, while I was busy putting the final touches on my Dolly Parton is too fast for the Grim Reaper tattoo, is someone anonymously dropped a new frontier grade model online. They called it AUX Alpha and in its first 6 days it served 42 trillion tokens, which easily…
YouTube — Fireship AI
ENA $6.3 billion open-weight model just got embarrassed by the French...
Yesterday, while you were being force-fed every iteration of that Rumpelstiltskin video, the Paris-based AI lab Mistral released Mistral large four, a trillion-parameter open-weight model that they're claiming is the best of its kind, assuming you adopt the American ideology of…
YouTube — Fireship AI
RU"Driverless taxis will be available throughout Kazakhstan in 2-3 years." Interview with the head ...
Digital Казахстан [музыка] через 2-3 года. Каким он видится вам? Через 2-3 года Digital Казахстан, я думаю, будет везде запущены беспилотные [музыка] такси по всей стране, максимально заработает криптоэкономика, все услуги, которые предоставляются [музыка] государством, будут…
YouTube — Digital Business KZ
ENORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
hello there today we're looking at orpo monolithic preference optimization without reference model this is a paper by researchers of kaist AI and largely deals with alignment aligning language models and instruction tuned models in some way we'll dive into what that means also I…
YouTube — Yannic Kilcher
ENTokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)
hello there yeah it's cold here um we cannot be dissuaded from reviewing papers today we're going to look at token forer rethinking Transformer scaling with tokenized model parameters this seems to be a collaboration of MOX plunk Institute for informatics Google and picking…
YouTube — Yannic Kilcher
ENOptimize, deploy, and benchmark an open-source LLM with vLLM
I'm thrilled to introduce this course on fast and efficient LLM inference, built in partnership with Red Hat, and taught by Sergey Kliger. Deploying open source LLMs efficiently, so they can serve many users at once with low latency and reasonable cost, is challenging. In this…
YouTube — DeepLearning.AI
ENFast inference changes what you can build
Cerebras, which I've been a fan of for a long time, is one of the leaders of fast inference. I'm excited to introduce this short course on fast LM inference built in partnership with Cerebras and taught by Jem Weigall, Satya, and Sara Hooker. Fast inference make new classes of…
YouTube — DeepLearning.AI
ENHow to Run Local Models in Pi
Good morning everyone. How's it going? Today we're going to be taking a look at how to run local models on Pi. And wait, lots of us have been running local models on Pi for a long time, but I figured that it is a good time to give you a complete tutorial on how to do this. So,…
YouTube — Hugging Face