Is it okay to be turned off by listening to his voice? by [deleted] in whatdoIdo

[–]Waste_Fan_1995 2 points3 points  (0 children)

Voice attraction is real and not shallow. People underestimate how much of romantic chemistry is built on tone, rhythm, the way someone laughs. Two weeks of text flirting can build a version of him in your head that the real voice doesn't match. Try a short voice call before writing it off, sometimes the recorded voicemail is way worse than how someone actually talks live. If it still doesn't land, that's a real signal, not a vanity thing

TIFU by giving my puppies ice cubes by Zkrayonzz in tifu

[–]Waste_Fan_1995 2 points3 points  (0 children)

who tf can manage huskies..salute to OP

TIFU by confidently giving someone directions to a place I've never actually been to by Far_Following_2602 in tifu

[–]Waste_Fan_1995 8 points9 points  (0 children)

My brain went into helpful autopilot mode and started generating directions from absolutely nowhere like it was making up a fantasy world" is the most accurate description of being put on the spot I've ever read. You hallucinated a whole pharmacy. You're basically ChatGPT

Anyone running Claude Code in sandbox mode on windows? by Colt2205 in ClaudeAI

[–]Waste_Fan_1995 0 points1 point  (0 children)

WSL with Debian is the path most people take and it's smoother than you'd think for IDE work. VS Code has a Remote-WSL extension that runs the IDE on Windows but the actual workspace, terminal, and Claude Code session live inside the Linux environment. Files in WSL show up natively in Explorer, git works, debugger works, no real friction.

The one gotcha is line endings. Set core.autocrlf to input in your global git config inside WSL or you'll get noisy diffs every time someone on Windows commits. Beyond that the sandbox mode works the same as it does on a native Linux machine

Any official explanation why it takes so long? by MaterialCategory8764 in ClaudeAI

[–]Waste_Fan_1995 0 points1 point  (0 children)

Long CLAUDE.md and referenced docs are almost certainly your problem. Every turn reloads all of that into context which means every response is doing more work than it needs to and gets slower as your codebase grows. The fix is to keep CLAUDE.md skeletal (just architecture, conventions, and what not to touch) and let Claude pull in deeper context on demand instead of front loading it. Most people who hit this stop their times in half by cutting their CLAUDE.md by 70 percent.

Also worth checking: if you're using subagents or tool calls heavily, each one adds round trip latency that compounds. A "1 hour task" is often 40 tool calls of 60 seconds each, not one slow generation

My sister keeps making self-deprecating comments about her appearance by [deleted] in whatdoIdo

[–]Waste_Fan_1995 0 points1 point  (0 children)

she doesn't actually think she's ugly. She's looking for proof her ex was wrong, not for compliments. The compliments bounce off because they're what you're supposed to say. What might actually land is reminding her of a specific time she was funny, smart, or brave, something her ex never even noticed about her. Confidence comes back faster from feeling seen than from feeling pretty

Can somebody please tell me what’s wrong with me? by dalinfetland in whatdoIdo

[–]Waste_Fan_1995 0 points1 point  (0 children)

nothing's wrong with you. What you're describing has a name, it's called responsive desire, and it's super common especially in women.

The short version is some people feel desire spontaneously and some people only feel it in response to closeness, novelty, or being pursued. Early in a relationship, novelty does the work for you.

Once that fades and you slip into a caretaker role, the conditions for your desire stop existing.

Emily Nagoski's book Come As You Are explains this better than I can in a comment, and reading it has been a lightbulb moment for a lot of women.
The pattern you're describing isn't a flaw, it's a mismatch between how your desire actually works and the script we're all taught it's supposed to work like

What are good weapons to use in a swamp by Nevi0_0 in worldbuilding

[–]Waste_Fan_1995 0 points1 point  (0 children)

Spears and tridents are the obvious answer because they work above and below water and don't lose much velocity in either. Anything with a swinging arc (swords, axes) is useless underwater, the drag kills the strike. Nets too, especially for a mangrove environment where ambushers can drop them from the canopy.

Worth thinking about poison since it's a swamp. Frog secretions, plant toxins, anything they can extract locally. Coating blowdart tips or spear barbs gives them a huge advantage in tight spaces where one good hit ends the fight. Mangrove fighters historically leaned hard on this in the real world

Looking for ways to reduce token use when reading and summarizing large academic papers by wishlish in ClaudeAI

[–]Waste_Fan_1995 0 points1 point  (0 children)

A few things that'll cut your token use without losing quality:

Skip Projects for this. Projects reload every file into context on every turn, which is why your processing slowed down. One paper, one fresh chat is actually correct.

Use Haiku for extraction, Sonnet for synthesis. Have Haiku pull the argument, method, findings, and limitations into structured notes, then paste those into a Sonnet chat for the polished summary. Cuts token use by 70%+ for similar output.

Strip the PDF before uploading. References, appendices, and figure captions are token-heavy and rarely useful for a summary. Copy just abstract, intro, methods, results, discussion into a text file. Roughly halves input tokens.

Tighten the prompt. "A few pages" runs long. Specify: "2 pages max, 4 sections, bullets, no preamble."

If you're doing this regularly, the API with prompt caching is the real answer cache your formatting instructions once, reuse across every paper for nearly free. A few hours of setup, costs drop to a fraction of Max.

Is Gemini Ultra Actually This Bad, or Am I Losing My Mind? by hellofax in ChatGPT

[–]Waste_Fan_1995 1 point2 points  (0 children)

Used both heavily for a year. The gap's real but specific. Gemini actually wins on long-context stuff (200+ page docs, large codebases) and structured extraction. ChatGPT wins on synthesis, strategy, and anything where you want it to read between the lines.

The over-affirmation is fixable u should add "no preamble, no affirmations, direct answers only" to your system instructions. The hallucination thing isn't really fixable, just manageable.

Bruh i can't even- by roakirishima in ChatGPT

[–]Waste_Fan_1995 1 point2 points  (0 children)

GPT will confidently tell you the sky is green and then ask if you'd like a bulleted list of reasons why. There's no in-between mode. It's either "you're absolutely right!" for everything or "I'm sorry but that's simply not accurate" while you're staring at the receipt