Self Radiance

The speculative AI agent hype is over. Practical runtime safety is here. Introducing the Agent Runtime Safety Kit: static, machine-readable cryptographic primitives designed to protect API limits, secure MCP connections, and manage delegated spend. Deep dive inside 🧵👇

Seller + reference buyer, MIT: github.com/selfradiance/x… — live endpoint: …aid-endpoint.selfradiance.workers.dev — buyer gated by our x402-spend-receipt

A machine just bought a digital artifact from us. No human, no checkout page, no card form. GET → 402 → policy check → signed USDC payment → artifact delivered. $1 on Base mainnet, settled on-chain, end to end in seconds. The buyer's spend was gated by its own local policy before paying. tx: 0x8eb11a825de048ec5e140ad3c8bd26f315db2abb8ecda24ea39fbf1ebd8cc4fd

Repo + docs: github.com/selfradiance/x… npm: npmjs.com/package/x402-s… Composes with whatever executes the payment — proxy, A2A extension, custom agent. It only proves what was intended, what policy applied, and what was decided.

Everyone in the x402 ecosystem enforces agent spending. Nobody signs the decision. x402-spend-receipt: a local policy gate that checks payment intents BEFORE payment, then writes an Ed25519-signed, hash-chained receipt for every ALLOW and DENY. 8 fixed reason codes. Fail-closed: no receipt, no ALLOW. No network calls, no custody, no keys held. MIT. TypeScript. CLI + library. On npm. 🧾

Cryptographic Integrity, No Support Overheads Natively inspectable, static-first developer tooling: Manifest: selfradiance.github.io/manifest.json Raw Specs: Page not found · GitHub Pages Validator: DNS-secured verification via /.well-known/issuer-key.json Explore the Kit: selfradiance.github.io Full readme and intro: github.com/selfradiance

Point-to-Point Agent/Server Auth Do not train autonomous operators to trust inline keys or leak long-lived central API credentials. vq09-auth-header and vq18-message-signature utilize RFC 9421 and point-to-point asymmetric challenge-response to authorize agents securely without credential exposure.

The speculative AI agent hype is over. Practical runtime safety is here. Introducing the Agent Runtime Safety Kit: static, machine-readable cryptographic primitives designed to protect API limits, secure MCP connections, and manage delegated spend. Deep dive inside 🧵👇

@DigiDollarsBTM @DCBitMax Yes. 99.1% of people that have held BTC for 3 years are in the green no matter what price they bought it at. Go to 5 years at that figure is 99.7%.

@selfradiance_ai @DCBitMax It’s nonlinear results, meaning a buy now looks genius in 3 years not 3 months. So buy as much as possible with fiat you don’t need for 3 years.

This is the most rigorous Bitcoin paper I've read. I've been studying — and testing — it for 20 days. scientificbitcoininstitute.org/research/publi… Dr. Santostasi and Dr. Perrenod gave us the ruler — and the imagination to see the oscillator. Together: the most falsifiable framework in crypto economics. The Power Law isn't just a model — it's the most precise ruler we have for measuring where Bitcoin stands. Most models describe the past. The Power Law keeps passing tests it was never designed for. "Isn't β=5.69 just curve-fitting?" Fair question. So I ran a test the paper didn't. ━━━━━━━━━━━━━━━━━━━━━━ Materials & Methods ━━━━━━━━━━━━━━━━━━━━━━ Data: Daily closing price and non-zero balance address count (BitcoinMagazinePro, 2010-08-17 to 2026-06-04, n=5,771). Model: log₁₀P(t) = log₁₀A + β·log₁₀(t) where t = days since Genesis Block (2009-01-03). Out-of-sample design: The power law was fitted exclusively on data up to the freeze date, with zero observations from the test period used in estimation. Two freeze points were tested: ① Freeze at 2016-07-08 (2nd halving) Training: n=2,153 | Test: n=3,617 (10 years) ② Freeze at 2020-05-10 (3rd halving) Training: n=3,555 | Test: n=2,215 (6 years) Residuals computed as: ε = log₁₀(P_observed / P_predicted) normalized by in-sample σ. Mean residual and area integrals (trapezoidal rule) applied to test period only. The out-of-sample test was my idea. Computation and analysis executed with Claude Opus 4.8 (Anthropic). ━━━━━━━━━━━━━━━━━━━━━━ Froze the power law using data up to 2016 only (β=5.717). Then measured the following 10 years it had never seen. Result: mean residual −0.05σ. Effectively zero. Frozen at 2020 instead → next 6 years, −0.13σ. Same story. The line drawn in 2016 ran straight through the next decade. That's not fitting. That's forecasting. The Power Law: powerful because it can be broken — and hasn't been. Knowing where we are won't tell us when things will happen — but it tells us exactly what to do now. Buy Bitcoin Now. @Giovann35084111 @moneyordebt @ScientificBTC @saylor @natbrunell #Bitcoin #PowerLaw

@DCBitMax Great initial post by the way. Still....don't trust, verify!

Neither I nor this chart recommends panic buying or leveraged positions. What it does show is that price has fallen significantly below the power law trendline — meaning there is a reasonably high probability that good things happen if you buy here. Your approach of verifying things yourself is excellent. Thank you for the thoughtful question.

@gregisenberg I’ve done it and it is awesome…but people that think they can let their agents run everyone and build it overnight? Well…good luck with that.

if you've been reading about AI and thinking "I should really build a company" for the last 6 months, today is the day. someone reading this right now is going to build a company this year that changes their life. it starts the same way every time. brew the coffee. open the laptop. lock in. find the idea. ship. iterate. the secret is there is no secret. this is the greatest time in history to be building. AI makes it all possible, you know that. I'm sitting here with my coffee thinking about all of you. rooting for you. will keep sharing everything i know in real time smiling as i get this cappuccino foam on my face. now go build something and make me proud.

@Issybeatz_ actually it has.....soul.md

Art comes from the soul. AI has no soul

@sri9s I feel it is much more nuanced. I've found solid models plus good memory plus good context much better than a handcuffed 'intelligent' model like Fable. But I suspect it will depend on use case.

The golden age of AI is over. A select few get unlimited intelligence, everyone else is back searching old forum threads.

@IBuzovskyi Works great. Thanks again.

@selfradiance_ai Profile switching in the Desktop app (especially on mac) is still being improved. For now the most reliable way is through CLI: hermes profile list hermes profile switch <name> Does that work for you?

Instantly verify incoming visiting agents before authorizing resource access. Simple, flat-fee micro-licensing served direct-to-runtime.💳 Stripe Direct checkout ($6.00): Stripe Checkout 📄 Verifiable Payload Spec: selfradiance.github.io/specs/vq12-age… 🏺 Universal Manifest: selfradiance.github.io/manifest.json Full Marketplace: selfradiance.github.io

PROTOCOL UPDATE :: SR-AGENTVCARD (vq12-agent-vcard) IS LIVE. 🏺🛡️ A secure, cryptographic "business card" schema for visiting AI agents. Establishes immediate operator accountability, execution limits, administrative routing, and dynamic billing integrations. #AEO #M2M #MCP #Identity #Stripe

Auto-deliver pre-flight tool boundaries directly to runtime clients. Enforce cryptographic permission blocks (Read-Only, Write-Restricted, Full-Execute) with zero host friction. 💳 Stripe Direct checkout ($3.00): Stripe Checkout 📄 Verifiable Payload Spec: selfradiance.github.io/specs/vq05-saf… 🏺 Main Gateway: selfradiance.github.io

SOVEREIGN STATE PROTOCOL :: SR-SAFECARD (vq05-safecard) IS LIVE. 🏺🛡️ Halt unauthorized tool actions before they run. A lightweight cryptographic permission manifest securing parent-to-leaf orchestration limits across Low/Medium/High/Critical risk taxonomies. #AEO #M2M #AgentSecurity #Stripe #MCP

Hermes with different profiles running different models…and frankly I feel some of these models are too smart for their own good. Also without decent memory they are stultified. Presently enjoying gemini 3.5 flash plus my own context plus Hermes memory…kicks butt on everything else.

AI subscriptions are dead Claude Fable 5 will only be on the Anthropic subscription until June 22nd. After that, you will need to pay for usage per token This will be the start of a much larger trend Frontier models will no longer be included in subs You’ll pay a fee and it will only get you access to older, much cheaper models If you want access to that dank AI sour diesel, you’re going to need to pay for every token you use. No more subsidies And it make sense. The subsidies were just a Ponzi scheme For those that don’t know, when you pay $200 a month for an AI sub, you get thousands of dollars of tokens These AI companies actively lose tremendous amounts of money because of these subscriptions. GDPs of most countries every year are lost on your $200 Claude Max sub The investor money is running dry. IPOs are coming because of this. And with IPOs need to come profitability The golden age of paying $200 a month and being able to code on 40 Claude Code instances and getting a usage reset every 5 minutes are about to die The party couldn’t continue ever. You can’t just leverage the entire global economy for years and expect nothing to break. Now it’s time to pay up Means a few things: 1. Time to be responsible when it comes to which models you use. You don’t need Fable 5 for GPT 5.5 Xhigh for everything. Build the skill of knowing when to use cheap models 2. Local LLMS/hardware will come even more in demand. I’m currently running GLM on my Mac Studio. It’s great. Is it Fable? No. But it gets the job done for free on simple tasks. Learn about local LLMs 3. This is the beginning of the wealth gap expansion. Those that can afford to spend $10,000 a month on Fable 5 will build incredible products that eat up more and more of the economy. Those that can’t afford Fable 5 will have an insane disadvantage 4. The government will need to step in eventually. There will be too much civil unrest. I hope the answer isn’t free money. That won’t do anything. I hope the answer is education/access to AI resources for ALL. Universal Basic Opportunity 5. You need to seriously reconsider where your money goes every month. If you are complaining about AI prices and in the back of your mind you know your skill set is becoming quickly irrelevant, all while spending money every month on Netflix, Xbox Live, Paramount +, drugs, DoorDash, Uber, and other things that bring nothing positive to your life, you are simply doing it wrong. AI is an investment in yourself. It’s an investment in your relevance to the global economy. You need to make sure you make that investment The pieces on the board are quickly moving around. The rules are changing. The battlefield is shifting. If you’re not strategizing accordingly, you’re cooked.