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Posted by9 hours ago
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IMO, this is a major development in the open-source AI world as Meta's foundational LLaMA LLM is already one of the most popular base models for researchers to use.

My full deepdive is here, but I've summarized all the key points on why this is important below for Reddit community discussion.

Why does this matter?

  • Meta plans on offering a commercial license for their next open-source LLM, which means companies can freely adopt and profit off their AI model for the first time.

  • Meta's current LLaMA LLM is already the most popular open-source LLM foundational model in use. Many of the new open-source LLMs you're seeing released use LLaMA as the foundation.

  • But LLaMA is only for research use; opening this up for commercial use would truly really drive adoption. And this in turn places massive pressure on Google + OpenAI.

  • There's likely massive demand for this already: I speak with ML engineers in my day job and many are tinkering with LLaMA on the side. But they can't productionize these models into their commercial software, so the commercial license from Meta would be the big unlock for rapid adoption.

How are OpenAI and Google responding?

  • Google seems pretty intent on the closed-source route. Even though an internal memo from an AI engineer called them out for having "no moat" with their closed-source strategy, executive leadership isn't budging.

  • OpenAI is feeling the heat and plans on releasing their own open-source model. Rumors have it this won't be anywhere near GPT-4's power, but it clearly shows they're worried and don't want to lose market share. Meanwhile, Altman is pitching global regulation of AI models as his big policy goal.

  • Even the US government seems worried about open source; last week a bipartisan Senate group sent a letter to Meta asking them to explain why they irresponsibly released a powerful open-source model into the wild

Meta, in the meantime, is really enjoying their limelight from the contrarian approach.

  • In an interview this week, Meta's Chief AI scientist Yan LeCun dismissed any worries about AI posing dangers to humanity as "preposterously ridiculous."

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Posted by10 hours ago

I'm a university advisor and have undergraduate students who need guidance on what to do AFTER they have been falsely accused of using AI on assignments. I have no idea what I'm doing, just trying to advocate for my students. My university has no guidelines, policies, or adjudication for academic misconduct accusations for AI detection.

Here is what I have so far - please add your ideas!

  1. Recover your document version history (this differs between Google and MS365). This can show your revisions, deletions, and additions over time.

  2. Recover your browser history - this is problematic in so many ways. Still, I'm hoping that students can prove they were doing keyword searches, spending time on multiple websites, excluding results that don't quite fit the assignment, etc.

  3. Run the accusing faculty member's own research papers/thesis through an AI detector, and if the results are similar to your accusation, use that as proof it is faulty.

  4. Run your own pre-AI (2020, 2021) writing assignments through the AI detector, and if the results are similar to your accusation, use that as proof it is faulty.

  5. Specifically request in an email while cc-ing other college officials (your advisor, the department head, another professor you trust, etc.): Please provide a preponderance of evidence that you researched without the use of AI which specific parts of my assignment were plagiarized or that used AI. In other words, faculty can't say: don't use AI; my AI said you used AI; therefore, you get a zero.

  6. Research your student misconduct policies; there will almost always be an opportunity for some sort of appeal. Forward your email chain with your faculty to the dean of students, department head, university president, dean of student conduct, etc.

  7. Meet on Zoom and record the entire thing, never accept phone calls or other ways they can avoid accountability

  8. NEVER EVER NEVER meet with your faculty member in person without recording the interaction. Audio, video, etc. If they won't meet with you without being recorded, request an advocate be present at your meeting - an academic advisor, another faculty member, another student, the admin assistant, etc.

ETA: I'm based in the US and welcome input on processes in other countries.

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Subreddit to discuss about ChatGPT and AI. Not affiliated with OpenAI.
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