Nitish

building tɘxt - AI text classifier | farming biodynamic 🍓 + 🌶️ + 🍅

[Nitish @Nitieo]

just got called 'The human' by an LLM model. fml, this is about to turn ugly

[Nitish @Nitieo]

@soy_muse AI text classifier - https://t.co/XeV4vqvZSz

[Nitish @Nitieo]

@TTrimoreau https://t.co/XeV4vqvZSz

[Nitish @Nitieo]

@Joi2James detect AI text - https://t.co/XeV4vqvZSz

[Nitish @Nitieo]

@spacedevin detect ai text with https://t.co/XeV4vqvs31

[Nitish @Nitieo]

this is how you catch it. https://t.co/XeV4vqvs31

[Nitish @Nitieo]

need help -> how is the test flow? what would you do differently?

[Nitish @Nitieo]

🧐 AI text slop is not a problem, because humans don't read anymore - your agents are reading the slop for you - and confidently telling you slop is true.

[Nitish @Nitieo]

@anah_sahh tell if a website design was made by AI

[Nitish @Nitieo]

@Arikalabs and another is writing Python loops :)

[Nitish @Nitieo]

@RatheeJaisal of course, that's from only on a few million text samples. humans are far more complex, that's why you can tune our model to your specific type of writing :)

[Nitish @Nitieo]

tɘxt is live on Tiny Startups!

tɘxt - AI text classifier API for developers. No-logs policy - build your own products on top. Detect human content with 99.98% accuracy and fine-tune models…

-> https://t.co/2aeKzfZlWj

cheers @ratheejaisal for the listing

[Nitish @Nitieo]

@dhh I have like a million unorganised scripts at this point. I'm pretty sure half of them are dupes.

[Nitish @Nitieo]

@antoniosarosi have you seen the abrv used in c? 😂 (abbreviations)

[Nitish @Nitieo]

context changes everything, literally.

[Yann LeCun @ylecun]

Dude, your stupid and utterly ignorant attacks don't deserve that anyone spend any time responding to them.
How much do enjoy doing character assassination while cowardly hiding your identity behind a random handle?
Own your opinions.
You have absolutely no idea of what you are talking about here.

Shared weights were in the original backprop paper in the PDP book (look up to T-C problem).
TDNN (or 1D CNN) were actually invented and published by Geoff Hinton and Kevin Lang at CMU.
They published a tech report (not a journal paper) because they weren't beating the best CMU ASR system with it.
Then, Alex Waibel (who knew nothing about neural nets at the time) ***TOOK THE CODE*** from Kevin, went to ATR in Japan, got some better results than the ATR system (which wasn't as good as the CMU system) and wrote a journal paper.
Geoff and Kevin were pissed as hell (I was a postdoc with Geoff when this whole thing happened).
My ConvNet papers cite Kevin's tech report, not Alex's. Alex was actually mad at me for this.

The original TDNNs from Kevin had only one convolutional layer.
The first *real* (multilayer) TDNNs with pooling/subsampling for speech recognition were done by Léon Bottou. He could recognize whole words with it (the original TDNN could only do phonemes). Yoshua Bengio also had results on this a bit later.
I hired both of them at Bell Labs because they also worked on sentence-level training with backprop through a time alignment. We used similar ideas for our check reader.

[Nitish @Nitieo]

teleport between SF and LA is a much more realistic idea today.

[jess lozano schmitt @JessLozanoS]

start up idea: functional train system
between SF and LA

[Nitish @Nitieo]

@JaySahnan not if you're clicking pictures and uploading them on twitter.

[Nitish @Nitieo]

@ai_for_success not just ads. it's going to become a full fledged marketplace very soon

[Nitish @Nitieo]

@toddsaunders well ARR is off the table since Stripe introduced validation

[Nitish @Nitieo]

@JustJake so why not a k8s style sandbox environment?