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const post=require('easy-post-request'); | |
const b64=require('base64-js'); | |
const dasm=require('dasm').default; | |
window.domconsole = require('dom-console') | |
window.demo = domconsole() | |
demo.api.toggle() | |
var el = domconsole({ lineLength: 80 }) | |
var api = el.api | |
document.body.appendChild(el) |
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<div><label for="lwcs">Lone Wolf Combat Skill:</label> | |
<input name="lwcs"> | |
<label for="lwep">Lone Wolf Endurance Points</label> | |
<input name="lwep"> | |
</div> | |
<div> | |
<label for="opcs">Opponent Combat Skill:</label> | |
<input name="opcs"> |
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Combine something like turbo.js with a webrtc rpc swarm. Use rpc to pull out of task queue. So we can do GPGPU processing on web-based clusters in the browser. | |
Can just use public gists with 'gpgpucluster' at end of description. The use requirebin. Also use webtorrent/instant.io | |
for imagenet example. Need to break imagenet up into a ton of little torrents. Then make an example that maybe just | |
searches for certain classes like 'cat'. Example doesn't need to do actual machine learning, just store images in graphics memory | |
pull them out when they search. And send them back. Maybe just use a subset of imagenet so that multiple clients | |
can share the dataset and so work together to answer queries. |
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// search imagenet using web-gpu-cluster |
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import cryptojs from 'crypto-js'; | |
import Token from './models/token'; | |
import User from './models/user'; | |
import jwt from 'jsonwebtoken'; | |
import dotenv from 'dotenv'; | |
dotenv.load(); | |
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// link.js | |
import r from 'rethinkdb'; | |
let conn = null; | |
async function init() { | |
if (conn) return; | |
conn = await r.connect({db:'links'}); | |
} |
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gistup |
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// link.js | |
import r from 'rethinkdb'; | |
let conn = null; | |
async function init() { | |
if (conn) return; | |
conn = await r.connect({db:'links'}); | |
} |
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gistup |
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Verifying that +jasonlivesay is my openname (Bitcoin username). https://onename.io/jasonlivesay |