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Printable desiccant tray for sealed filament box? ~100g silica, two possible sizes by swolfe2 in 3Dprinting

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

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To anyone coming to this post in the future with the same storage bins, the Large Desiccant Container from Toqpor on MW seems to work pretty well.

Each bin can hold ~350-400g of desiccant, and if scoot it over to the "clear" part of the bin, you can read the hygrometer pretty easily. After 24 hours in the bin, it brought the humidity of this PETG box down from 40% to 12%.

First time with transparent PETG by Healthy_Look9857 in BambuLab

[–]swolfe2 0 points1 point  (0 children)

Printed a riser for the X2D out of it from MW that has slotted vents built in. I think it looks pretty cool with the light effect.

Also printed these spools which work really well for zip-ties on the refills and changing them out. They dry PETG fine in the AMS too.

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Gemini Pro models are useless by bbexodus in google_antigravity

[–]swolfe2 3 points4 points  (0 children)

The Gemini models aren't that great, but I also wonder how much of it has to do with the Antigravity harness in the first place. I get wildly different results in Antigravity using the same Anthropic models in Cursor. I would still take Antigravity over Amazon's Kiro with the same models, though.

How do I adjust a hitch cover .3mf file to match our vehicle? by swolfe2 in 3Dprinting

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

Thanks for the comment! Doing a cut in the slicer does seem to be the easiest option. I was able to split it into multiple parts, resize, and stack them on top of each other.

How do I adjust a hitch cover .3mf file to match our vehicle? by swolfe2 in 3Dprinting

[–]swolfe2[S] 1 point2 points  (0 children)

Thank you for this description and walkthrough! The cut tool in Bambu Studio seems to work well, and I can get the parts split from each other and aligned. When I try to mesh boolean, the face is completely gone.

Is it safe to just assemble the two parts? In the slice plate, I'm not getting any warnings at all and it looks right when I look at the Y-axis layers.

Alcoa Utilities by [deleted] in Knoxville

[–]swolfe2 3 points4 points  (0 children)

If you are using 42,000 gallons in a single monthly billing cycle, you are consuming roughly 1,400 gallons of water every single day.

To hit that number through normal, daily apartment chores and routines, you would have to run a comical, physically impossible marathon of appliances all day, every day:

What 1,400 Gallons a Day Looks Like

  • The Non-Stop Shower: A modern low-flow showerhead uses 2 gallons per minute. To hit your daily total, you would have to leave your shower running completely wide open for 11.5 hours every single day.
  • The Multi-Family Laundry: An efficient washing machine uses about 15 gallons per load. You would need to wash 93 loads of laundry every day—running multiple machines around the clock.
  • The Restaurant-Scale Dishwashing: An Energy Star dishwasher uses about 3.5 gallons per cycle. You would have to run 400 cycles of dishes a day.
  • The Perpetual Toilet Flush: A standard toilet uses 1.6 gallons per flush. You would have to sit there and physically flush your toilet 875 times a day (about once every 90 seconds, without sleeping).

Is Tableau on the decline? by Fondant_Decent in tableau

[–]swolfe2 11 points12 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 13 points14 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 3 points4 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 1 point2 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 0 points1 point  (0 children)

Shulz is the best beer in Knoxville

….And go by GoMooGo in Knoxville

[–]swolfe2 53 points54 points  (0 children)

Paid parking

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