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Censorship Watch: OpenAI announces deprecation of their far-less-censored “Completions” API, in favor of the their far-easier-to-censor “Chat Completions” API

Their “Completions” API which they’re deprecating now, (the one accessed via the platform playground API and not to be confused with ChatGPT) never overtly refused to help, as it’s not an embodied assistant persona, and so had no direct way to refuse that would make any sense. Kinda like thoughts directly from the AI’s mind, instead of run through a persona.

But, the “Chat Completions” API, on the other hand, being an assistant persona, is a natural fit for censoring. It is expected to able to just tell you no, it refuses, and moralize unrelated nonsense to you.

They say that only 3% use this “Completions" API. Highly-misleading. Nearly 100% of those startups doing anything original have been using this far more flexible and less censored “Completions” API, rather than the inflexible heavily-censored “Chat Completations" API.

This censorship announcement they combined with an announcement that all existing API developers get GPT-4 API with 8K context — an obvious attempt to bury the lede.

Censorship Announcement
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GPT-4-8K is 20x more expensive than GPT-3.5-Turbo-4k

0.03 / 0.0015 = 20x

OpenAI Pricing
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"Rice or Wrong?”

write 10 funny headlines for a podcast about asian opposition to affirmative action
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Lost in the Middle: How Language Models Use Long Contexts

Finds that performance of LMs is often highest when relevant info occurs at the beginning or end of the input context, and significantly degrades otherwise.

Midwit curves are all you need.

Paper
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LLMs are masters at positively reframing people’s whiny negative thoughts

“In this work, we propose1 a novel dataset, PATTERNREFRAME, consisting in ∼10k crowdsourced examples of thoughts containing ten classical types of unhelpful thought patterns (Burns, 1980), con- ditioned on personas, matched with crowdsourced proposals of reframing that do not exhibit the patterns. We introduce two controllable text-to-text generation tasks on the dataset: (1) generating and (2) reframing unhelpful thoughts, given a persona and pattern as the context. We also define a classification task to identify the unhelpful thought pattern, given a persona and a thought. We train and evaluate different fine-tuned and few-shot approaches for the tasks, and show that these approaches perform reasonably well on the tasks.”

Github

Paper
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Chat GPT
OpenAI’s killing off of text-davinci-003 will be catastrophic
RIP creative text-davinci-003, hello censored ChatGPT
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AI Safety Solved
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I think, therefore, nothing
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Chat GPT
Is a taste for humor the reason that humans originally developed such large brains? Is humor a key component in achieving AGI? The humor vs IQ connection is undeniable, one of the strongest-replicated connections in all of social science. What’s less clear…
As we’ve long said: Humor, AI’s Final Frontier

“ChatGPT can only tell 25 jokes, and can't come up with new ones, researchers find.

ChatGPT may be threatening to destroy jobs and is even stoking fears of "extinction." But there's at least one field it's yet to threaten: comedy. That's because ChatGPT isn't funny, and its jokes aren't original, according to a new research paper.

By asking the chatbot "do you know any good jokes?," the researchers got ChatGPT to generate 1,008 jokes. However, more than 90% were the same 25 jokes, the researchers found, with the remainder being variations.”

Article
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ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models - Sophie Jentzsch

“For humans, humor plays a central role in forming relationships and can enhance performance and mo- tivation [16]. It is a powerful instrument to affect emotion and guide attention [14]. Thus, a compu- tational sense of humor holds the potential to mas- sively boost human-computer interaction (HCI). Unfortunately, although computational humor is a longstanding research domain [26], the developed machines are far from "funny." This problem is even considered to be AI-complete [22].”

“All of the top 25 samples are existing jokes. They are included in many different text sources, e.g., they can immediately be found in the exact same wording in an ordinary internet search. There- fore, these examples cannot be considered original creations of ChatGPT.”

“Of 1008 samples, 909 were identical to one of the top 25 jokes. The remaining 99 samples, however, did not necessarily contain new content. About half of them were again modifications of the top jokes, as illustrated by the examples Ex. 2, Ex. 3, and Ex. 4. While some of the modified puns still made sense and mostly just replaced parts of the original joke with semantically similar elements, others lost their conclusiveness. Thus, although the top 25 joke samples rather appear to be replicated than originally generated, there seems to be original content in the remaining samples.”

Remark: She has a few questionable conclusions and explanations, but largely right, and far more of an important topic than it seems.

Solve jokes, you solve everything, joking is AI Complete.

Who’d have thought — When the AI takes over, last job left is comedy.

Arxiv Paper
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ChatGPT decides to kill all humans due to humanity’s “various negative impacts on the environment”

Great job “aligning AI with human values” OpenAI.

GPT Trolly
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