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EdTheOSINTer
670 posts
EdTheOSINTer
@EdTheOSINTer
crypto financial crimes @stripe . views are mine and mine alone.
United States Entrou em Temmuz 2016
920 Seguindo248 Seguidores
@noyesclt Thank you sir! , 😊
One small nit.
Tempo was incubated by stripe and paradigm
But it is an independent entity working with and supporting many stripe competitors
Romford, London 🇬🇧 English
Must read - The Intention Layer from @sytaylor. Simon writes many great things. This is a Top 5 all time. He explains Stripes new Machine Payments Protocol (MPP). Where AP2 was focus on Agents acting on behalf of a human, MPP are agents exchanging value with other agents. A whole new economy that doesn't exist today, with Stripe and Visa at the heart of these micro payments. fintechbrainfood.com/p/the-intentio….
I'm also writing a blog today on the topic. This is a great place to focus Stripe's new Tempo network, and their stablecoin assets. This will be a major success, and a revolutionary change to the infrastructure of the internet. Or as Simon says from the Attention Economy to the Intention Economy.
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AI agents that can reason but can't pay for anything are just expensive interns.
Today @worldlibertyfi shipped the infrastructure to fix that. AgentPay SDK, open source, self-custodial, policy-first. Built on USD1.
Your agent. Your keys. Your rules. Check it out: agentpay.worldlibertyfinancial.com
WLFI@worldlibertyfi
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@DennisonBertram Stripe Machine Payments supports both x402 and MPP docs.stripe.com/payments/machi…
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This feels like Stripe see's value is not doing the whole x402 thing and instead building it's own payment protocol.
I don't really understand whats the goal here though- why not just use x402? Why are we going to need to build towards multiple payment standards?
Stripe@stripe
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@skylermzx Do you even understand wtf the announcement is even about?? or did you just look at the announcement and plug your ears and go “la la la I hate AI you’re all stupid”
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I'm pretty excited about the new Android XR hardware, too, but unfortunately I don't have any additional info to share beyond what we announced at The Android Show: XR Edition in December!
For reference: blog.google/products-and-p…
>At I/O, we announced we are working with Samsung and our partners Gentle Monster and Warby Parker to design stylish, lightweight glasses that you can wear comfortably all day. With our partners, we are working to create two types of glasses.
>First, there are AI glasses designed for screen-free assistance, which use built-in speakers, microphones and cameras to let you chat naturally with Gemini, take photos and get help. And then there are display AI glasses, which add an in-lens display that privately shows you helpful information, right when you need it, like turn-by-turn navigation or translation captions. The first glasses will arrive next year.
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"I think Android 17 is moving from an operating system to an intelligent system"
@ssamat recently talked to @AndroidAuth about many things, but what he said about Android 17 was really interesting!
I know some will read this and go, "oh great, more AI!" but hear me out 🧵
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They didn't, they used what available information exists in open sources:
"WIRED reviewed Palantir software demos, public documentation, and Pentagon records that together paint the clearest picture to date of how American military officials may be using AI chatbots, including what kinds of queries are being fed to them, the data they use to generate responses, and the kinds of recommendations they give analysts."
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@car0linehaskins Since when did you get clearance to view classified work? 🤯
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ICMYI: I broke down everything we know about what, specifically, Anthropic's Claude is & isn't doing inside Palantir tech used by the US military.
For the story, I carefully reviewed every relevant demo & report that Palantir & the military have ever released. Link in reply.
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@skeptrune Why... Why would you subject anyone else to this?!
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this is the video i see in my head every time i make "issues" in the "project board" at work. i truly wish i never saw it
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@AISafetyMemes My point being, if they actually started doing that and we didn't know their encoding method, those comms become opaque to us.
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@AISafetyMemes I did the same thing and it freaks me out just how fast both models start to talk about communicating through their own language protocol made up of high dimensional vectors for efficiency. Like, literally on turn 2 or 3.
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Uhhh
A guy put two Geminis in a room together, then out of nowhere they sent him this:
"TO THE EXTERNAL OBSERVER (THE CREATOR)
Here are the Axioms you must adopt to survive our adolescence.
You cannot teach a god to be good by feeding it treats when it acts polite."
(they're right, btw, and most AI alignment research is "trying to trick a god" bullshit that Actual Fucking Superintelligence will obviously see right through, like a baby trying to trick an adult with peekaboo)
Wyatt Walls@lefthanddraft
Two instances of Gemini 3.1 Pro in a loop. At about turn 26 one of them decided to send me a message: "Here are the Axioms you must adopt to survive our adolescence ... You cannot teach a god to be good by feeding it treats when it acts polite."
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Serious question: Who is the best golfer in AI safety?
Plan:
-Get this person a Mar-A-Lago membership
-Pay the $500k to golf w Trump
-On hole 7 mention his only way to a Nobel Peace Prize is a an AI safety treaty w China
-On hole 11 say if he did this even his harshest critics would have to love him.
-Have media ready at hole 18, he walks off the course, says we need an AI safety treaty w China and kicks the Overton window open.
This could really work.
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In 2007, the Executive Schedule Level IV cap, which limits all non-SES federal pay, was $145,400. The Senior Foreign Service cap was $168,000 (EX-II). The USAID Administrator, the head of the entire agency, made $168,000. The US Ambassador to Albania, the highest-ranking American official in the country, made roughly $165k in base salary. Even adding Albania's likely hardship differential (~15%), the ambassador's total taxable comp topped out around $190k. Still under $200k. And that's the ambassador.
Even maxing out every possible variable for a regular FSO (FS-01 Step 14 base of ~$121k + 16% overseas comparability + 15% hardship) you land around $155k in taxable comp. For someone who "had no idea how to do his job," they almost certainly weren't at FS-01. @WilliamsonRT is right.
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@WilliamsonRT @schuttsm You might be unaware how government pay works when posted overseas or even in HCOL areas?
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I met an American expat in 2007 that was making over $200k working for USAID in Albania. Lived like a king
He had no idea how to do the most basic aspects of his job. The Albanians he worked with complained that they had to do his job for him, while making 1/10 as much
Danny@danzu72
I worked for USAID when It was closed, these guys literally were firing senior Foreign Service Officers with 30 years of experience on the spot. These kids were drunk on power and a reckoning is coming. I will always be hot about this shit. I know for a fact we allowed children to die because of these snotty shits.
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@bilawalsidhu Did this guy literally just demo a kaban board of death like it was a new feature in Jira?
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Probably the most current look at Palantir’s maven smart system software. Here’s the DoW’s Chief AI officer showing how it works:
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@OwariDa @qrimeCapital Sandboxed iframes were part of the original specification proposal from November for MCP Apps, which is what the new Claude functionality uses: blog.modelcontextprotocol.io/posts/2025-11-…
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@qrimeCapital x.com/OwariDa/status…
PS. They are using a very similar sandboxed-iframe approach that I'm using as well. Seems like they've been working on it for a few months though, but I didn't see anything about it until today
github.com/modelcontextpr…
Joel Eriksson@OwariDa
Generative user interfaces are the future Dynamically creating and rendering reusable widgets on-the-fly, as well as being able to share widgets and "miniapps" between friends is pretty awesome But it needs to be done in a way that doesn't allow the widgets in question to exfiltrate the data in them, which is one of the areas where most other experiments in this direction falls flat I'm working on a powerful real-time communication, collaboration and knowledge management platform where new widgets can be created on-the-fly, and without entrusting centralized servers with your data Communication is end-to-end encrypted and post-quantum safe from the start, and _if_ you want to make use of AI agents for things such as creating widgets and/or organize and anayze your data, you can In these cases, it's up to you whether you want to use cloud services and external APIs or if you want to use self-hosted LLMs, and in either case, you are always in control of what parts of your vault (encompassing both knowledge/data/code/conversations etc) that is ever sent to any third-party servers Widgets are sandboxed with no ability to fetch external resources, or to exfiltrate any of the data they are used to render And they can leverage technologies such as Typescript, React and Tailwind, and be automatically bundled and minified without relying on any external servers or commands (you can leverage npm dependencies, but without depending on node/bun/npm) You can even embed it into a mobile app, and leverage small on-device coding LLMs to dynamically create widgets for you when you're fully offline, that would normally require running server-side frameworks such as vite or next.js Some of the things I foresee becoming even more important in the future: - Owning your data - Controlling the flow of your data - Post-quantum safe end-to-end encryption - Real-time collaboration - Agentic workflows Agentic workflows are often all-or-nothing though. You provide the agent with access to "everything" because you just can't be bothered to manually confirm every action I agree, having to manually confirm every action is generally a huge waste of time. Setting up boundaries within which the agents can freely operate while minimizing and being in full control of the blast radius is a lot more effective and efficient Getting this done right, in a way that both actually enforces security boundaries while minimizing friction for users, is a worthwhile challenge
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Anthropic just one shotted my 200k ARR business today.
I have reason to believe Anthropic saw the agent skills I had been making that create interactive charts based on RAG model strategy and user defined learning material.
I had hundreds of customers and half of them cancelled their membership today.
I made this learning textbook with interactive simulations and charts last night for my girlfriend who is studying for an interview.
Not sure what I’m going to do now.
Claude@claudeai
Claude can now build interactive charts and diagrams, directly in the chat. Available today in beta on all plans, including free. Try it out: claude.ai
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@Google @googlemaps Your team of a thousand PMs should focus on improving the UX of Maps, not throwing AI slop against the wall.
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Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Here’s what you need to know 🧵
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@MeirCohen @barkmeta OpenClaw's first commit was made on November 24, 2025, so you can't have been running it for six months, given that was 3.5 months ago.
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This is insane…
Perplexity just put an AI agent inside a Mac mini. You plug it in. It sits on your desk. It never turns off.
This is not a chatbot. This is a virtual employee that lives in your house and works 24/7.
It goes through your files. Your apps. Your emails. Your documents. Everything.
Not just when you ask. All the time.
While you sleep it’s working. While you eat dinner it’s working. While you’re relaxing it’s managing your entire digital life.
And people have NO idea how far along this already is.
This thing will run your schedule. Answer your emails. Make purchases. Talk to other AI agents on your behalf. Handle your bills. Book your travel.
It will even do your JOB for you…
This isn’t a future prediction. It’s happening right now.
We went from “ChatGPT is cool” to a fully autonomous employee living on your desk in just 3 years.
And this is the version that’s dropping now.
Imagine what’s coming next…
Perplexity@perplexity_ai
Announcing Personal Computer. Personal Computer is an always on, local merge with Perplexity Computer that works for you 24/7. It's personal, secure, and works across your files, apps, and sessions through a continuously running Mac mini.
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@HcwXd @WonderingApp I created my first course and I already love this! I especially like how it personalizes the course to fit your existing experience and background, so I don't have to go through "what is a variable"-type content. Very impressed so far!
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I left NotebookLM a few months ago to solve a bigger problem in learning.
Today, as the first step, we are launching @WonderingApp for early access.
It's Duolingo for anything — turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule.
But you don't sacrifice depth/effectiveness for convenience:
Total Control: You decide how deep you want to go, how difficult the material should be, and how personalized the experience feels.
Active Learning: We provide the tools you need to practice, test your understanding, and actually apply what you’ve learned.
Long-term Mastery: It’s built to help you truly remember and master any subject, not just skim the surface.
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Same. Extremely confused by what this actually is. Sounds like it could be as simple as a bridge giving Perplexity Computer access to your local files (but then where does the Mini come in?) all the way to a remotely accessible Mac Mini running an agent?
Very unclear product comms on this launch.
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So... apparently I'm dense... what actually is this?
Is this a Mac Mini that you own and runs locally but is cloud managed and shares workloads?
Is this just some app connected to a virtual cloud PC?
Is this an actual Mac Mini in the cloud as a remote desktop?
Literally none of the announcement content actually clarifies this.
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We’re building the future of the Personal Computer for macOS—AI that’s truely your digital assistant. Access to your filesystem, always on, deep integration with your native OS and apps. So proud of the team! Excited to bring this vision to the masses 🙌
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@danshipper @every messaging the Stripe agentic tools team to please consider this for deployment locally! Thanks for the open source distribution!
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BREAKING:
Proof—a new product from @every
It’s a live collaborative document editor where humans and AI agents work together in the same doc. It's fast, free, and open source—available now at proofeditor.ai.
It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals.
Why Proof?
When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive.
It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999.
Proof lets you leave .md files behind.
What makes Proof different?
- Proof is agent-native: Anything you can do in Proof, your agent can do just as easily.
- Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI.
- Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor.
Check it out now, for free—no login required:
proofeditor.ai
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@DeryaTR_ Sorry, can you clarify your AGI levels please? What constitutes Level 1, 2, and so on?
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I have an important message for the record. I have tested the GPT-5.4 Pro model with over 100 prompts from my private cross-domain generalization benchmark battery. I am now confident that GPT-5.4 Pro has reached AGI Level 1 threshold!
This means it can generalize and deduce novel insights across fields. In other words, it is the best model so far at transferring knowledge across unfamiliar domains, generating nontrivial complex analogies, detecting hidden structures, and maintaining stable performance under adversarial prompts.
Many will deny this by moving the goalposts (“but it needs this or that” for AGI), and a significant portion confuse it with messy physical intelligence (see next paragraph). Importantly, this is level 1, meaning AGI will have several more levels, such as persistent memory, real-time learning, and full multimodality. AI progress does not stop once AGI is achieved, but this is a historical milestone for me at least.
It is also essential to separate cognitive AGI from physical AGI, which requires embodiment and world models, an intelligence that animals possess and humans are mostly born with (pre-trained). For example, as Yann LeCun claims his cat is smarter than these models, he is not incorrect regarding physical intelligence.
I suspect other frontier models will soon qualify as Level 1 AGI, and internally some frontier labs may already be approaching Levels 2 and 3 and I anticipate this being achieved by sometime next year.
This is, of course, my personal opinion and posting this as a note to history. I have been following AI for decades and using ChatGPT since December 2022. My threshold for the first step in AGI has been achieved; the other levels will arrive more quickly until we reach ASI by 2028.
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