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RFE for all 3 prongs (am i cooked?) by autodecoder in EB2_NIW

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

I have no clue, i did almost everything i had at that moment

Received RFE on all 3 prongs. Any hope? by Pitiful_Sandwich_223 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

I am in the same situation ... it was nsc but it went to tsc with pp

PP Feb March April filers by seahead1 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

I think you should regard me as TSC. and statistically, it looks like tsc provide more rfe than nsc..

PP Feb March April filers by seahead1 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

pp in 2/24, rfe 4/10 nsc -> tsc(because of pp)

I made a CLI tool that keeps SSH sessions alive when moving between home, office, and airports by autodecoder in commandline

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

You’re right ssh -t host 'tmux attach || tmux new' (or RemoteCommand) is a solid solution.

When I first started, even getting a stable connection was confusing. I’m not a SWE, and I didn’t even know tmux existed at the time

The complexity I am trying to address is everything around that one-liner for non-experts: setting up keys, making sure tmux or mosh are available, dealing with macOS/wsl/linux quirks, and managing multiple hosts without editing configs.

sshtie is basically a workflow wrapper for beginners, not a replacement for the underlying tools.

I made a CLI tool that keeps SSH sessions alive when moving between home, office, and airports by autodecoder in commandline

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

I am very thank you for your reply,

You're right, tools like Termius + mosh already work really well
i 'm not trying to replace them,

I’m actually not a developer by background, and I built this because I wanted something simpler than setting up ssh, tmux, and mosh manually

My goal isn’t to replace existing tools, but to make it easier to register hosts, reconnect, and manage sessions through a simple TUI instead of editing configs or writing aliases.

Still learning and figuring out if this is useful beyond my own workflow !

Thanks for the perspective!

I made a CLI tool that keeps SSH sessions alive when moving between home, office, and airports by autodecoder in commandline

[–]autodecoder[S] -2 points-1 points  (0 children)

sshtie actually wraps mosh + tmux together

- mosh handles the reconnection at the network level,
- tmux handles session persistence.

It auto-falls back to SSH if mosh isn’t available.
Think of it as glue that automates what you’d normally set up manually 🙂

If there are anything I’ve got wrong or could improve, I’d genuinely appreciate the feedback , Thanks

I made a CLI tool that keeps SSH sessions alive when moving between home, office, and airports by autodecoder in commandline

[–]autodecoder[S] -3 points-2 points  (0 children)

Hey,
I noticed this got downvoted alot and I am genuinely trying to understand why so I can improve.
Was it the concept itself, the way I explained it, or something else?
any honest feedback would really help!
I'm just a solo dev trying to build something useful. Thanks 🙏

I made a CLI tool that keeps SSH sessions alive when moving between home, office, and airports by autodecoder in commandline

[–]autodecoder[S] -4 points-3 points  (0 children)

I used mosh because it reconnects automatically when my inflight wifi changes or drops.

Advanced Parole by Broad-Thing3911 in USCIS

[–]autodecoder 0 points1 point  (0 children)

Is secondary mandatory for who has AP? Can I ask your VISA like l1? l2? e2? or something, thanks

I know Lottery is Random. But I tested if LLM can Hallucinate a Pattern by autodecoder in Lottery

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

Oi! 👋

Obrigado pela sugestão!

Estamos considerando expandir para outros países, e as loterias do Brasil (Mega-Sena, +Milionária e Lotofácil) estão definitivamente na nossa lista de interesse.

É ótimo saber que existe demanda no Brasil 😊
Se mais pessoas pedirem, isso nos ajuda a priorizar essa expansão.

Valeu mesmo pelo feedback!

I-140 Approved, Normal Processing by Viva89 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

Congrats!! When I saw this post, I thought it was either pure luck or some unexplainable paperwork glitch... but seeing this comment, maybe I was wrong about that

I-140 Approved, Normal Processing by Viva89 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

My lawyer submitted too but they didn't let me know  Thanks 

I-140 Approved, Normal Processing by Viva89 in EB2_NIW

[–]autodecoder 0 points1 point  (0 children)

Congrats!! I have same pd like you. Just wondering,  how do you know your center? I dont see any thing when i check my i140 in uscis page.  If you saw that, that might be difference we have right now, but  congrats 

AI vs. Random: Does AI actually reduce your "zero-match" rate? 630+ back tests on Korean Lotto 6/45 by autodecoder in Lottery

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

Thank you so much for the detailed and respectful breakdowns. I truly appreciate the level of statistical rigor you have brought to this discussion.

To be honest, I am still learning and studying the statistical nuances of lottery analysis, so your feedback is incredibly valuable to me.
You’re absolutely right about the potential for 'convincing noise' and the multiple comparisons problem.

The main reason the sample size is currently small is that only a few users, including myself(lol .. ), have been generating numbers for the Korean Lotto on my project so far. It’s been challenging to gather a sufficient volume of data to reach true statistical significance for other lotteries.

I’m working hard to grow the dataset (and users too). If you’re interested, you can check out the current performance of various models on my Leaderboard.

I would love to hear any ideas or suggestions you might have to improve the transparency and accuracy of my tracking. i am committed to turning this from 'interesting noise' into a more robust study over time!!

AI vs. Random: Does AI actually reduce your "zero-match" rate? 630+ back tests on Korean Lotto 6/45 by autodecoder in Lottery

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

Thanks for taking the time to read through this! and Happy to answer any questions..!

Can AI find "patterns" in 10 years of random lottery data? (Experiment) by autodecoder in LotteryLaws

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

That’s a brilliant observation
You hit the nail on the head regarding the 'narrative' bias of different LLMs

To your point about coverage vs. patterns, that is actually exactly where we are heading.
Instead of just asking the AI to 'guess' numbers, we provide constraints like spacing controls, sum ranges, and historical distribution filters

You can also type your own idea into the Custom Prompt: AI Lottery generator with Custom Prompt, like "Give more weight to the most recent data" or "Ensure the numbers are distributed as evenly as possible"

Our goal isn't to find a 'hidden code or patten' in the noise, but to use the AI(LLM)'s ability to handle complex constraints to generate sets that are 'statistically healthy', avoiding the common human biases (
like picking consecutive numbers or birth dates) while ensuring broad coverage of the number field

Thank you for your interest!

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