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HUGE AI NEWS : MAJOR BREAKTHROUGH!, 2x Faster Inference Than GROQ, 3 NEW GEMINI Models!

TheAIGRID | October 25, 2024



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00:00 – Google Research on AI game engines
03:09 – Magic Labs’ 100M token context window
07:54 – OpenAI agreement with US AI Safety Institute
10:14 – Bland AI for phone calls
14:20 – AI emotional manipulation
15:22 – Apple’s anti-hallucination approach
18:47 – Cerebras inference speed breakthrough
21:34 – AI accelerating biology research
23:37 – New Google Gemini 1.5 models

Links From Todays Video:
https://x.com/tsarnick/status/1829271138587062356
https://x.com/OfficialLoganK/status/1828480081574142227
https://x.com/omarsar0/status/1829163090715529358
https://x.com/CerebrasSystems/status/1828464491677524311
https://x.com/ArtificialAnlys/status/1828463912389402896
https://x.com/CerebrasSystems/status/1828465008298336588/photo/1
https://x.com/tsarnick/status/1828538866128875643
https://www.reddit.com/r/MacOSBeta/comments/1ehivcp/comment/lfzi379/
https://x.com/tsarnick/status/1828587943377969653
https://x.com/usebland/status/1828882563588612233
https://magic.dev/blog/100m-token-context-windows
https://x.com/sama/status/1829205847731515676

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Written by TheAIGRID

Comments

This post currently has 27 comments.

  1. @geezerider1

    October 25, 2024 at 12:52 am

    A 100 million token context window is nothing short of jaw-dropping. But, Until we get some solid details or a nod from someone who isn't on a hype train, I'll keep the confetti in the bag. If this turns out to be legit and it can be efficiently used, it's amazing, but huge claims require convincing data …

  2. @DailyTuna

    October 25, 2024 at 12:52 am

    It’s somebody that has done sales for decades. This will only work on the low end and as a support mechanism. If your AI is trying to sell somebody all you’re telling people is that they’re not worth a human interacting with them.
    Remember in sales, the customer only cares when he thinks you care.

  3. @MaterLacrymarum

    October 25, 2024 at 12:52 am

    This channel is insufferable. The titles and thumbnails are always so overly dramatic they make a mockery of the subject matter. It could be a great channel if the subject was treated seriously, but instead we get tabloid level titles that make the whole thing a waste of time. Added to the "don't recommend" list!

  4. @miguelsureda9762

    October 25, 2024 at 12:52 am

    Is THIS music video the FIRST made with STRAWBERRY A.I. ???

    Peachy da WHUUPI: 🎶 “Strawberry ! And the BUBBLES ?” On You Tube now .

    Oh Boy ! Surely looks we're going to have a party. What do YOU think ?

    What is going on ?

  5. @ShannonJosephGlomb

    October 25, 2024 at 12:52 am

    And did you know the add was going to show when you were explaining the 100m context windows or was it AI that linked it up so that when the Ad finished you mentioned being interrupted 😂😂😂😂😂😂😂 I wonder if anyone else has realised your an ai yet ❤❤❤❤❤❤❤ lol

  6. @ShannonJosephGlomb

    October 25, 2024 at 12:52 am

    Imagine one day we can zoom in on a silicone microchip and each component is an ai as advanced as the ai we have now with billions of them on each AI city chip imagine the work billions of they could do if they all worked together to get the single task out ❤❤❤❤❤❤❤

  7. @LanTurner

    October 25, 2024 at 12:52 am

    That demo with Bland AI was highly edited, more than Carmella Harris’s CNN interview. I went to the website and the conversation was terrible, talking with ChatGpT is way way better. I do agree this is the future, but these guys are not even close with their current model.

  8. @LostInTheRush

    October 25, 2024 at 12:52 am

    Please, everyone, reply to this comment with ACTUALLY good AI/ML youtube resources who don't claim that the industry is being broken several times a week and that AGI is like totally like around the corner u guys. God, I'm so fckng tired of opportunistic sensational bullshit.

  9. @ebutuoyjg

    October 25, 2024 at 12:52 am

    cerebras is fast as hell but it makes tons of error and seems much less able to iteratively cure those mistakes. coding is a good example, but there are many others. the model behind it doesnt work as well in my albeit not exhaustive testing. that said I have found many examples where it doesn't perform near as well. the key will be when all these micro innovations get combined into a single powerful model . surely companies with the biggest budgets will be including all these baby steps, or leaps, into their base models. progress is fast nonetheless.

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