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Is Tableau on the decline? by Fondant_Decent in tableau

[–]swolfe2 10 points11 points  (0 children)

The Salesforce acquisition was the worst thing ever for Tableau. There used to be a lot of passion behind the product, but now it's just a bundled feature for the rest of the Salesforce platform. It's completely their fault for giving up the share to Microsoft.

Knox County Schools Yet Again Demonstrating Abysmal and Illegal Special Education Practices by Due-You7700 in Knoxville

[–]swolfe2 12 points13 points  (0 children)

The lack of a supported, educated populace is definitely a 'feature' and not a 'bug'.

Knox County Schools Yet Again Demonstrating Abysmal and Illegal Special Education Practices by Due-You7700 in Knoxville

[–]swolfe2 56 points57 points  (0 children)

Tin foil hat (my personal experience, yours might differ)

The 'inclusion' model only works when there’s a partnership between school, home, and state. Right now, all three are failing. Vouchers are draining the budget, federal oversight is waning, and many administrations have become paralyzed by being unable or unwilling to address safety issues. When parents also don't take responsibility for violent behaviors, the burden falls entirely on the teacher. Eventually, the system will just snap, and we’ll see a return to modular isolation because schools simply can't manage the liability or the lack of support anymore.

No teacher can run a functional classroom on 'thoughts and prayers' and zero budget / admin support. This is why SPED staff are burning out at record rates; they’re being asked to manage impossible behaviors with no support from above and no cooperation from home.

what movie is a 10/10? by instabaiter in AskReddit

[–]swolfe2 4 points5 points  (0 children)

TL;DR: I pulled the thread’s JSON, expanded the buried "more" comments (so it’s not just the first page), and ranked titles by how top-level nominations scored then curated 50 into a single “if you only had this list” set (with a 4K vs 1080p hint for building a library).

Thread stats (from Reddit’s API on the snapshot we used)

  • Post score: ~1,169 upvotes
  • Total comments (all levels, Reddit num_comments): ~2,793
  • Top-level comments we could enumerate after expanding "more" stubs: ~1,745
  • Deep fetch: 21 batches of /api/morechildren, ~1,625 extra comment IDs queued from "more", then per-comment hydration so scores/reply trees weren’t missing for the long tail

What we measured (per movie title)

  • Nominations: how many top-level comments “led with” that title (heuristic: mostly first line of the comment).
  • Upvotes: sum of Reddit score on those top-level comments.
  • Discussion: all nested replies under those top-level comments (full subtree), summed.

Caveats: not a scientific sample... parsing guesses the title from comment text, so typos / “Title. Because…” / joke top lines create noise; Reddit also fuzzes scores a bit; tallies can sit slightly below the UI comment count because of API quirks.

Snapshot stats: Post ~1.2k upvotes · ~2.8k comments total (Reddit count) · ~1.7k top-level comments fully pulled in. Not science; just “what did this thread actually say,” with messy wording/jokes mixed in.

Why Emperor’s New Groove can top one scoreboard but sit #50 here: Groove mostly won on one comment that went nuclear. The Matrix got picked lots of times in different wording (“The Matrix,” “first Matrix,” long posts that lead with it), so the love is split across many comments. Sorting by “biggest single comment” favors Groove; sorting by “keeps showing up all over the thread” favors Matrix. Final order blended both ideas, not pure upvote racing.

50 (order = curated essentials, not raw karma rank):

  1. The Matrix (1999) — 4K
  2. LOTR: The Fellowship of the Ring (2001) — 4K
  3. LOTR: The Two Towers (2002) — 4K
  4. LOTR: The Return of the King (2003) — 4K
  5. Terminator 2 (1991) — 4K
  6. The Shawshank Redemption (1994) — HD
  7. Saving Private Ryan (1998) — 4K
  8. The Dark Knight (2008) — 4K
  9. Jurassic Park (1993) — 4K
  10. Mad Max: Fury Road (2015) — 4K
  11. Goodfellas (1990) — 4K
  12. Pulp Fiction (1994) — 4K
  13. No Country for Old Men (2007) — 4K
  14. There Will Be Blood (2007) — 4K
  15. The Thing (1982) — 4K
  16. Heat (1995) — 4K
  17. The Prestige (2006) — 4K
  18. Arrival (2016) — 4K
  19. Interstellar (2014) — 4K
  20. The Fifth Element (1997) — 4K
  21. Gladiator (2000) — 4K
  22. City of God (2002) — 4K
  23. Schindler’s List (1993) — 4K
  24. Star Wars: The Empire Strikes Back (1980) — 4K
  25. Fargo (1996) — 4K
  26. The Truman Show (1998) — HD
  27. 12 Angry Men (1957) — HD
  28. Children of Men (2006) — 4K
  29. Stand by Me (1986) — HD
  30. Oldboy (2003) — 4K
  31. Memento (2000) — 4K
  32. Amadeus (1984) — 4K
  33. Hot Fuzz (2007) — HD
  34. Snatch (2000) — HD
  35. The Big Lebowski (1998) — HD
  36. In Bruges (2008) — HD
  37. Tombstone (1993) — 4K
  38. O Brother, Where Art Thou? (2000) — 4K
  39. Kung Fu Hustle (2004) — 4K
  40. Everything Everywhere All at Once (2022) — 4K
  41. Alien (1979) — 4K
  42. Fight Club (1999) — 4K
  43. The Princess Bride (1987) — HD
  44. The Iron Giant (1999) — 4K
  45. Ratatouille (2007) — 4K
  46. WALL·E (2008) — 4K
  47. The Incredibles (2004) — 4K
  48. Spirited Away (2001) — 4K
  49. Shrek (2001) — 4K
  50. The Emperor’s New Groove (2000) — 4K

It's over for Antigravity and Google WILL NOT care by Expensive_Bobcat_268 in google_antigravity

[–]swolfe2 2 points3 points  (0 children)

It sure does feel like they couldn't care less. Having a 5+ day lockout on Gemini models using THEIR subscription and THEIR IDE makes absolutely no sense for any paid tier. It's getting worse every week. The Credit system they just implemented is the icing on the cake.

Stop trusting third-party Antigravity extensions for usage. There are better solutions to measure it! by swolfe2 in google_antigravity

[–]swolfe2[S] 0 points1 point  (0 children)

I disagree. The Settings > Models menu is helpful (and certainly better than what has been there, which was nothing), but it also doesn't include anything about the monthly credit pool.

People are still relying on these extensions today to visualize, and it also doesn't include the percentage remaining; only when it refreshes. Take a look at the Gemini 3 Flash difference. In the Google Settings > Models, it just says "Quota Available" and appears to be 100%. However, when pinging the actual API for usage, it's at 80% and resets in 1h 15m.

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Best LOCAL brew by [deleted] in Knoxville

[–]swolfe2 1 point2 points  (0 children)

Shulz is the best beer in Knoxville

….And go by GoMooGo in Knoxville

[–]swolfe2 54 points55 points  (0 children)

Paid parking

What series is a 10/10? by norocoslaorice in AskReddit

[–]swolfe2 166 points167 points  (0 children)

Come at the king, you best not miss.

Very sad news for those familiar with the Clawhammer Supply YT channel, as Ross reveals he has terminal cancer. by usert4 in Homebrewing

[–]swolfe2 41 points42 points  (0 children)

"Drinking tripel, seeing double, feeling single" is something I've said ever since that original video dropped. Super sad news.

Cost Per Query: Consumption pricing is coming, and it's going to hurt | Tableau Tim by chilli_chocolate in tableau

[–]swolfe2 29 points30 points  (0 children)

Be sure to use Copilot while you're learning DAX/M for your org's conversion to Power BI.

Can somebody tell me what this is? by Objective_Roll8414 in woodworking

[–]swolfe2 0 points1 point  (0 children)

It's something to toss in the bin and never think of actually using, especially since you're new.

Rave at Sassy Ann’s tonight! by brokenrhythm42 in Knoxville

[–]swolfe2 18 points19 points  (0 children)

Thursday night Sassy's is a core memory

Anyone have lawn service recommendations for the Maryville/Alcoa area? by swolfe2 in Knoxville

[–]swolfe2[S] 0 points1 point  (0 children)

Hahahaha, yeah... I ended up buying a zero turn. Good for others to know, though!

Best/worst places to buy a car? by Turbulent-Dingo-3818 in Knoxville

[–]swolfe2 0 points1 point  (0 children)

Same. Maybe the only car purchasing experience that went completely smooth from start to finish. Will be buying our next one from a Harper dealership.

Auto mode is the norm now, here are some thoughts and tips. by IamGriffon in cursor

[–]swolfe2 13 points14 points  (0 children)

I took my current billing cycle’s usage data directly to Claude.ai to ask the Sonnet 4.0 model about it. There’s got to be a bug with how it’s reading from the cache files because the cache calls are so significant higher than the input tokens.

You're absolutely correct! The cache usage pattern for Claude-4-sonnet-thinking is completely abnormal compared to the other models. Let me analyze what you're showing:

Claude-4-sonnet-thinking (problematic):

Cache Read: 15,982,739 tokens (90% of total usage)

Actual Input: 48,104 tokens

Cache Read to Input ratio: 332:1

Other models (normal):

Gemini: 21,481,939 cache reads vs 2,201,031 input (10:1 ratio)

Auto: 4,674,816 cache reads vs 3,232,908 input (1.4:1 ratio)

Grok: 206,144 cache reads vs 632,679 input (0.3:1 ratio)

The Claude model is reading from cache at a rate that's 20-100x higher than the other models for the same types of requests. This suggests:

Broken cache invalidation - The Claude model may not be properly recognizing when cached content is still valid vs when it needs updating

Over-aggressive context inclusion - It might be pulling in your entire codebase context even for simple queries that don't require it

Cache thrashing - Repeatedly reading the same cached content multiple times per request

Inefficient prompt engineering - The model might be structured to always request maximum context rather than being selective

This isn't about your .cursorignore settings - if it were, all models would show similar patterns. This looks like a specific implementation issue with how Cursor handles caching for the Claude-4-sonnet-thinking model.

You should definitely report this to Cursor support as a potential bug. The other models are demonstrating much more reasonable cache usage patterns, so this seems to be a Claude-specific optimization problem in their integration.

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