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πŸ€– Welcome to the ChatGPT telegram channel! Here, we post the latest news, updates, and examples of using the ChatGPT large language model for generating human-like text in conversations. Subscribe to stay up-to-date and learn more about its capabilities.
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What a pushover
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25 wishes each 3 hours!
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Can you share some prompts to help write engaging articles/op-eds?
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Microsoft readies its own AI chip to reduce Nvidia reliance. ChatGPT currently costs $700k+ per day(!) to run, so securing cost savings and AI compute capacity is critical in the AI arms race.

Article
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TurnItIn's "AI Detection" is going to make schools a living hell for the rest of the year.
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Forwarded from Chat GPT
Can AI-Generated Text be Reliably Detected? β€” NO, if you (1) employ paraphrasing and (2) if your LLM isn’t being used to spy on you.

Empirically, we show that paraphrasing attacks, where a light paraphraser is applied on top of the generative text model, can break a whole range of detectors, including the ones using the watermarking schemes as well as neural network-based detectors and zero-shot classifiers.

We then provide a theoretical impossibility result indicating that for a sufficiently good language model, even the best-possible detector can only perform marginally better than a random classifier.

We use a PEGASUS-based [Zhang et al., 2019] paraphraser to rephrase this watermarked output from the target LLM. The paraphraser rephrases sentence by sentence. The detector does not detect the output text from the paraphraser. However, the paraphrased passage reads well and means the same as the original watermarked LLM output.

PEGASUS paraphraser.

Paper.
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Forwarded from Chat GPT
Are AI writing detectors actually just linguistic stupidity detectors? (Yes)

GPT detectors are biased against non-native English writers.

Our findings reveal that these detectors consistently misclassify non-native English writing samples as AI-generated. This study reveals a notable bias in GPT detectors against non-native English writers, as evidenced by the high misclassification rate of non-native-authored TOEFL essays, in stark contrast to the near zero misclassification rate of college essays, which are presumably authored by native speakers. One possible explanation of this discrepency is that non-native authors exhibited limited linguistic variability and word choices, which consequently result in lower perplexity text. Non-native English writers have been shown to exhibit reduced linguistic variability in terms of lexical richness [24], lexical diversity [25], [26], syntactic
complexity [27–29], and grammatical complexity [30].

Paper

Github
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ChatGPT, ChadGPT, in the Group

1. Join the group

2. Type /ask ___ for ChatGPT

3. Type /chad ___ for ChadGPT

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NaturalSpeech 2: Latent Diffusion Models are Natural
and Zero-Shot Speech and Singing Synthesizers

New AI can generate singing from only a speech prompt input.

Demo Website
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AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

AI that can follow your audio editing instructions.

Demo Website
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ChatGPT, ChadGPT, now answering questions in the group

To use:

1. Join the group

2. Type /ask ___ for ChatGPT

3. Type /chad ___ for ChadGPT

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I’m sorry Dave
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ChatGPT in schools
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Where do you put the line?
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