Verified Spec-Driven Development (VSDD) is a unified software engineering methodology that fuses three proven paradigms into a single AI-orchestrated pipeline:
A prerequisite to intelligence is the ability to find a program that explains a pattern. Programs are functions. To test a candidate program, we need to implement a "function evaluator". The problem is: all modern programming languages are sub-optimal "function evaluators", which, in the context of search, leads to massive slowdowns. To implement an optimal interpreter, we need to: 1. postpone the execution of expressions, to avoid wasted work, 2. cache the result of postponed expressions, to avoid duplicated work, 3. incrementally copy cached structures, to ensure 1 and 2 don't interfere. Haskell almost achieves this, but falls short on 3, because it is unable to incrementally copy lambdas. To solve this, we introduce the concept of a "superposition", which allows multiple versions of a term to exist simultaneously. This ensures that no work is ever wasted or duplicated, allowing us to optimally interpret (or com
Facebook works with advertisers to target you. These instructions are one of the many ways to begin crippling that relationship. When AI targeting is crippled, your psychosecurity improves :)
Moved here.
this is a rough draft and may be updated with more examples
GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?
Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to
| package main | |
| import ( | |
| "crypto/ed25519" | |
| "encoding/hex" | |
| "encoding/json" | |
| "flag" | |
| "fmt" | |
| "log" | |
| "os" |
