与「AI_ハラミちゃんストリートピアノ」相关的搜索结果

メリークリスマス🎅🎅🎅🎄🎄🎄🍗🍗🍗 🎵#AI×##ハラミちゃん🎹# ハラミちゃんの公式YouTubeにコラボ第三弾「#ハピネス」の動画が公開されました🎅✨# ぜひチェックしてみてね🎄🎁 @harami_piano #AI_ハラミちゃんストリートピアノ# #カムカムエヴリバディ# #カムカム#

🎵#AI×##ハラミちゃん🎹# ハラミちゃんの公式YouTubeに「#アルデバラン」のコラボ動画が公開されました🤩！！# チェックしてみてネー✅✅✅ @harami_piano @asadora_bk_nhk #AI_ハラミちゃんストリートピアノ# #カムカムエヴリバディ# #カムカム#

🎵#AI×##ハラミちゃん🎹# 
明日19時にAI×ハラミちゃんコラボ映像第二弾を公開！今回は「アルデバラン」を歌います！ 第一弾「#Story」も公開中なので、まだの人はぜひチェックしてみてね🤩# 🤩 #AI_ハラミちゃんストリートピアノ# #カムカムエヴリバディ# #カムカム#

🎵AI×ハラミちゃん🎹 ハラミちゃんの公式YouTubeにコラボ動画がアップされました！！🎥素敵なピアノ演奏で『Story』を歌いました🎤 #AI_ハラミちゃんストリートピアノ# @harami_piano #AI# #アルデバラン# #朝ドラ# #ドラマ# #連ドラ# #カムカム# #カムカムエヴリバディ# #主題歌#

3日で超速100万再生😳😳😳‼️ビックリでっす😝🤯🤩来週は #アルデバラン# も公開予定みたいなので楽しみにしててくださーい🌟🌟🌟 フル👇✅ 🎥 #Story# 🎧アルデバラン @harami_piano #ストリートピアノ# #ハラミちゃん# #AI# #カムカムエヴリバディ#

🎤#AI×##ハラミちゃん🎹コラボ第2弾、朝ドラ主題歌『##アルデバラン』ダイジェストを公開🎥# フルはここから▷ そしてコラボ第3弾は今夜『#ハピネス』を公開🤩#@harami_piano さらに本日17時から放送の #Mステ# でも「アルデバラン」と「ハピネス」を披露🎄 🎤 お楽しみに🌠

韓国サムスン・SK、半導体に83兆円投資 AI需要を受け4工場を新設します。韓国政府の地方振興政策を受け、予定地には「産業の不毛の地」と呼ばれる光州周辺が選ばれました。政府の要望に応える形の投資は危うさもはらみます。

Very welcome recent news from Signal: they are working on letting you register an account without a phone number. That said, an important counterpoint about what this would and would not accomplish. The good #1#: reducing dependence on phone numbers. Even aside from privacy benefits, reducing dependency on a highly oligopolistic system of chokepoints is good in itself. The good #2#: phone numbers are for many people not a good "root" of identity from an access control perspective. Phone numbers get sim swapped all the time. The good #3#: allowing phone-number-free accounts will make it harder for them in the future to discriminate against people by country - and so make it harder for governments to pressure them to block their own citizens. Now, on privacy. Significantly better than status quo, so yes it is good #4#, but... In practice, in 2026, I believe that pseudonymity (a long-term persistent account that is not tied to your primary identity) is a dead concept. There are just too many channels by which we accidentally slowly leak data about who we are - timing of messages, the pattern of who we send messages to with what frequency, size, etc. And too many highly effective AI-based means (both using LLMs per-user, and LLMs helping every person and agency under the sun use math that we had all along) to uncover and piece together those hints. As a trivial example, whatever server you interact with learns your IP address, but even if you hide *that* with a VPN or Tor, there are many other identity leakage vectors. And so the only defensible form of privacy is *message-by-message unlinkability* - no one except sender and receiver knows the (sender, receiver) pair, ideally even not knowing who the sender or the receiver are. A natural taxonomy of privacy is the following 2x2: * Sitting duck: adversary knows "X did Y" * Confidentiality: adversary knows "X did ???" [E2E encryption provides this] * Anonymity: adversary knows "??? did Y" [aka message-by-message unlinkability] * Ideal: adversary knows "??? did ???" Signal has already had confidentiality for a long time. (Note: in other contexts, "confidentiality" sometimes means "someone knows X did Y, and we trust that someone to not reveal it", ie. not true privacy. Here, by confidentiality we mean hiding contents from third parties) This adds pseudonymity: in the above schema, adversary knows "0x8b512c... did Y", where they don't initially know who 0x8b512c... is, but may figure that out over time. The ideal is getting to message-by-message unlinkability. Actually accomplishing that gets into territory that is currently being explored by mixnet projects as well as newer messengers, eg. @session_app and @SimpleXChat. Once we get deeper into this territory, I suspect the primary frontier will be spam and DoS protection. Right now, much of the internet blocks all Tor exit nodes - not because they personally hate privacy, but because that's where DoS attacks come from. So we need ways for people to prove their non-spammer status while maintaining message-by-message unlinkability. See here for one direction (which complements nicely). So I hope that we appreciate the victory that is mainstreaming of end-to-end encryption, that we actually get Signal accounts without phone number dependency (it's a great thing even if it had zero privacy consequences), and then that we keep moving forward and pushing the frontier of data leakage minimization.

The "Web app" standard for the Agentic Web/OS has arrived. It is essentially the open standardization of the third-party app/plugin ecosystem found in ChatGPT. It consists of Skills and MCP, with MCP covering standards such as MCP Apps and MCP-UI, which allow third-party apps to embed GenUI-based interactive interfaces directly into the main Agentic Web/OS interface. WebMCP is about "embedding Tools within UI," while Agent Plugins / MCP Apps are about "optionally embedding UI within Tools." The core of this kind of "app" ecosystem are Tools, rather than any specific UI representation, such as cards, icon + Activity, or windows. AppFunctions / AppIntents / AppActions on Android, iOS, and Windows, like WebMCP, also belong to the "embedding Tools within UI" model. The current CLI ecosystems around Coding Agents such as Codex and Claude Code are effectively local "native app" ecosystems: apps have to be pre-packaged, downloaded, and installed, and users cannot realistically install too many of them. By contrast, Agent Plugins / MCP Apps can be regarded as a kind of "Web app" ecosystem, because their core functionality is retrieved from the Web on demand. Skills, like manifest-style files such as mcp.json, are lightweight distributions of code with declared metadata, somewhat like HTML: they can be discovered, loaded, activated, and used on demand, in a process analogous to HTML rendering but much more intelligent. This creates an opportunity to extend existing Web standards, which are centered around the distribution of UI resources. Instead of RESTful HTTP exposing only a limited set of actions over resources, the Web could expose a vast long tail of Tools that AI can discover and understand, and that can optionally embed UI. A general-purpose Agent capable of discovering, loading, and running Agent Plugins / MCP Apps on demand would be equivalent to "the browser + Google" of the desktop Internet era. If such an Agent becomes a super app, it could easily abstract away the operating system and become the single dominant super app for most user scenarios, much like the desktop Internet era, rather than the mobile Internet era with many parallel super apps. So such an Agent will naturally tend to integrate into the entire OS and even the hardware itself, much like IE vs. Netscape. That is also why Google, OpenAI, and even ByteDance are determined to build consumer electronics hardware products.

来AI圣地打卡黄仁勋和李在镕吃过的炸鸡店。 真的就只是江南的一个路边小店[破涕为笑]，听店员说，他们坐的那张“科技巨头C位”得提前预约才行。 实话说，炸鸡口味本身其实挺中规中矩、没有到惊艳的程度！店里真的爆满，全都是年轻人在聚会聊天，来吃一个情怀和热闹～