jednano

Maintain a daily model-routing table for these channels: #code, #math, #agentic, #search, #vision, #legal, #writing, #finance, #health, #long-context, #general.

For each channel, choose exactly:

1. Winner model
2. Fallback model
3. Basis benchmark/source
4. Change vs previous snapshot

Do not summarize general AI news.

jednano

Agents vs. Skills

A practical guide for deciding whether you are building a skill or an agent.

---

TL;DR

A skill is a bounded capability that follows a known pattern, even if it is complex and touches many systems.

jednano

Week 1 Meal Plan (Starting Sunday)

A structured ruminant rotation with predictable digestion and clear cut guidance.

Breakfast (Daily)

0.75–1 lb ground beef, 1–2 eggs.

Lunch Rules

Normal days → 1 lb ground beef or listed cut, 1 egg
Workout days → 1.25 lb meat, 2 eggs (Mon/Wed/Fri)

jednano

Stage / Event	OLD K-1 Process (Before ~2020)	NEW K-1 Process (2023–2025)
USCIS approves I-129F	Same	Same
Case arrives at NVC	NVC sometimes requested documents	NVC collects nothing, just creates GUZ number and forwards
NVC → Consulate Transfer	Consulate mailed Pa

jednano

Men's Skincare Routine

Morning

1. [Foaming Cleanser][], Use in the shower with lukewarm water
2. Shave → Rinse → [Nivea Balm][] (let absorb 2-3 minutes)
3. [Essence][] (let absorbe 30 seconds)
4. [Vitamin C Serum][], Apply 1-2 pumps to completely dry face after shower

Evening

| Day | Routine |

jednano

const pinyinSyllablesWithToneGroups = [
  // Syllables with no initial
  '(a)', '(a)i', '(a)n[134]', '(a)ng[124]', '(a)o[134]', '(e)[124]', '(e)i', '(e)n[1]', '(e)r[24]', '(o)[14]', '(o)u[124]',

  // Syllables with initials
  'b(a)', 'b(a)i[124]', 'b(a)n[134]', 'b(a)ng[134]', 'b(a)o', 'b(e)i', 'b(e)n[134]', 'b(e)ng[134]', 'b(i)', 'bi(a)n', 'bi(a)o[124]', 'bi(e)[4]', 'b(i)n[14]', 'b(i)ng[134]', 'b(o)', 'b(u)',
  'p(a)', 'p(a)i', 'p(a)n', 'p(a)ng', 'p(a)o', 'p(e)i', 'p(e)n', 'p(e)ng', 'p(i)', 'pi(a)', 'pi(an)', 'pi(ao)', 'pi(e)', 'p(i)n', 'p(i)ng', 'p(o)', 'p(u)',
  'm(a)', 'm(a)i', 'm(a)n', 'm(a)ng', 'm(a)o', 'm(e)i', 'm(e)n', 'm(e)ng', 'm(i)', 'mi(a)', 'mi(an)', 'mi(ao)', 'mi(e)', 'm(i)n', 'm(i)ng', 'm(o)', 'm(ou)', 'm(u)',
  'f(a)', 'f(a)n', 'f(a)ng', 'f(e)i', 'f(e)n', 'f(e)ng', 'f(o)', 'f(ou)', 'f(u)',
  'd(a)', 'd(a)i', 'd(a)n', 'd(a)ng', 'd(a)o', 'd(e)', 'd(e)i', 'd(e)n', 'd(e)ng', 'd(i)', 'di(a)', 'di(an)', 'di(ao)', 'di(e)', 'd(i)n', 'd(i)ng', 'd(iu)', 'd(o)ng', 'd(o)u', 'd(u)', 'du(a)', 'du(an)', 'd(u

jednano

name: Python Test

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jednano

from functools import reduce

def summate(startingAt, endingWith, callback):
	"""
	Returns the sum of the result values of `callback` starting at `startingAt` and ending with `endingWith`.
	Example: sigma(1, 6, lambda n: 3 * n)
	See: https://replit.com/@jedmao/SuperSigma#main.py
	"""
	return sum([callback(x) for x in range(startingAt - 1, endingWith + 1)])

jednano

# TP = True Positive
# TN = True Negative
# FP = False Positive
# FN = False Negative

def precision(TP, FP):
	return TP / (TP + FP)

def recall(TP, FN):
	return TP / (TP + FN)

jednano

class PrismaClient {
    #used = false;

    /**
     * Indicates whether `useOnce` has already been called.
     */
    public get used() {
        return this.#used;
    }