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【 info📺✨ 】 本日1/7(日) 24:30〜より BSフジ連続ドラマ 「〜if〜警視庁捜査一課 剣木善治」 第1話が放送されます💁🏼‍♀️ みなさまぜひご覧ください👀 #梅山恋和# #ココチャム# #if剣木善治#
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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.
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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.
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* “No need to show too much skin—it’s still enough to leave the person across from me flustered.” * “Don’t stare for too long… I won’t be held responsible if you find yourself lovestruck.”🥰🥰
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SpaceX is SIGNIFICANTLY undervalued if you believe Elon and the team can execute on what they just laid out. At today’s ~$1.51T market cap, SpaceX trades at roughly 48-66x sales. Is it expensive based on today’s numbers? Sure. But look at what happens if the SpaceX team hits the targets shared on the Q2 earnings call: • $100B ARR by the end of 2026 → ~15x Price/Sales • $1 Trillion in annual revenue by 2030 → ~1.5x Price/Sales And fyi, that $1T target was pulled forward from 2031, with Elon saying there’s even a non-zero chance of reaching it in 2029. You see, SpaceX doesn’t need to stay at a 50x+ sales multiple for today’s valuation to eventually look cheap. If revenue grows ANYWHERE close to management’s roadmap, the denominator catches up super fast and the valuation multiple collapses. At the same $1.51T market cap, you go from ~48-66x sales today to ~15x at $100B ARR, and eventually just ~1.5x at $1T in revenue. So investment thesis is actually pretty simple… Either 1/ management’s targets are wildly wrong… or 2/ SpaceX at $1.51T is still pricing in far less of the future than people realize. I’m putting $ where my mouth is that the latter is the case.
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do you mind if i give you my number?
say hi if u want a free pic 📸
Simon Mo and Matt Bornstein on why open-weight models matter: cost and control. "Open weight absolutely matters in the ecosystem. The world cannot just be controlled by proprietary APIs, where open weight, open development and research of these models are blocked or banned." "There's almost two pieces to this. There's the cost thing, where the closed models are too expensive, and then there's the control thing, where I want to be in control of my infrastructure and in control of the model. If I need to extend it or put on my own guardrails or anything." "Control matters a lot over the last few years, and then cost just started to matter over the last few months... It's about controlling the system performance against what they're paying for." "For a voice agent company, they want to control their own model so that it can make sure the model actually responds by the required time... This sometimes is only you can do with your controlled intelligence... versus signing up for relying on your critical infrastructure with a proprietary API where they might go down any time." @simon_mo_ @BornsteinMatt
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what if we kissed at the intersection of finance and cat memes
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@KareliKagit @Polymarket If you use hermes, use the baoyu-infographic skill by @dotey, and set gpt image 2 or nano banana as your imagen, then your set!