AI Generated SummaryAI Generated Summary

Summary of Podcast Episode 47: "Naughty Stackers"Summary of Podcast Episode 47: "Naughty Stackers"

In this scattershot episode, hosts discuss a mix of sports topics, from pools and betting to baseball, football, and basketball redrafts. No single dominant theme, but plenty of updates on ongoing leagues and predictions.

Pools and Tennis/Cricket UpdatesPools and Tennis/Cricket Updates

• Shoutout to Karasan for running UEFA and US Open tennis pools; hosts share their picks (e.g., straight threes vs. fours in sets, focusing on higher seeds in early rounds).
• Brief on US Open progress (not closely followed, but monitoring for upsets via Predicts market).
• Cricket in "The 100" league: Rockets advance to finals via rain-out against Superchargers, frustrating as Superchargers led big; hosts discuss market pivots and Predicts shares.

Baseball MVP Race and StandingsBaseball MVP Race and Standings

• AL MVP debate: Aaron Judge's hot streak (home runs, advanced stats like WAR/OPS) vs. Cal Raleigh ("Big Dumper") as an everyday catcher chasing records (needs 12 more HRs in ~26 games for AL record). Narrative favors Raleigh's story and defense over Judge's numbers; voters might lean "nerd stats" but narrative could sway.
• MLB races: Tight AL East (Blue Jays struggling with bullpen, Yankees surging); AL West, NL East/West close. Hosts express concern for Blue Jays' playoff chances due to bullpen ERA issues.

Fantasy SportsFantasy Sports

• Baseball League: Host leads standings (9 games ahead), facing playoffs; discussions on strategies (e.g., rotating pitchers, minimal adjustments). Super Cyclone and others in contention; playoffs are two-week rounds.
• Football: No recent trades despite attempts (e.g., involving McBride, Bowers); auto-drafted teams could surprise. Hosts joke about winning with fun, non-optimal rosters (e.g., all-49ers team).

NFL and Survivor PoolNFL and Survivor Pool

• Mike Parsons trade to Bears boosts NFC North; hosts buy Packers shares, debate division strength (Lions > Chiefs?; Vikings' rookie QB JJ McCarthy a wildcard).
• Bears optimism with Caleb Williams' potential Year 2 leap under Ben Johnson, improved O-line.
• Commanders regression possible after lucky 2023 (87% 4th-down conversions); Chiefs also lucky last year.
• NFL odds: 49ers favored in 15/17 games, underdogs vs. Rams (away) and Bucs.
• Survivor Pool: 20 participants (200k sats prize pool), aiming for 25; deadline soon, but flexible before kickoff.

App Development and Misc.App Development and Misc.

• Progress on custom app for pools (survivor/pick'em); AI assistance led to funny bugs (e.g., importing fake games, permanent "wins"). Hosts spent ~$100, iterating fixes; may integrate for pools soon.
• Brief tangents: Australian mega-project to flood the Outback; Chris's podcast (prefer non-fantasy episodes); AFL playoffs format (top 4 play each other, losers get second chance vs. lower seeds—rewards top teams while creating better matchups). Tasmania getting a team ("Devils").

NBA 2011 RedraftNBA 2011 Redraft

• Original: Cavs take Kyrie Irving #1. Hosts debate redraft: Kawhi Leonard edges Kyrie in poll, but timeline "ripples" favor Kyrie (enables LeBron's return, Cavs' 2016 title; Kawhi on Spurs beat LeBron's Heat in 2014, prompting his exit).
• Other notables: Jimmy Butler, Klay Thompson (best LeBron fit? Nukes Warriors rivalry). Kawhi's development uncertain outside Spurs; all top players are team-hoppers. Hosts weigh stats, fit, and hypotheticals (e.g., Clay + LeBron could win 4 titles). Fun, thorny discussion on space-time continuum impacts.

Episode wraps with excitement for NFL season and future redrafts (e.g., a "worst draft ever" bonus). Casual, engaging vibe with humor on AI quirks and sports hypotheticals. Listen on Fountain for boosts!

LOL at the AI generating bogus schedule of games

Depending on the model, it could be a legit excuse, because it could have record of the reasoning model and how it came to its output previously. But yea, it probably just inferred some random game slot because it didn’t do any outreach for up to date data, and then based on the context of what you’re doing (testing an app), it picked a high probability reason for what it did

Is the app source code open source? I haven’t seen it, I’ve just seen the product and tested it

I see from @Carresan’s US Open post we are in the round of 16 right now.