lemoncookiechip
Joined 6 years ago
Joined 6 years ago
OpenAI and Anthropic are AI business, if the AI market burst tomorrow, they'd be the first to flounder.
Google just has to keep pace in the AI space, they don't have to lead. Especially since whom is leading changes like two or three times per month non-stop for four or so years now, including small (by US standards) Chinese AI labs with a fraction of the money who keep pushing the tech forward every month while being open for now.
1. It doesn't get tired or frustrated during a discussion.
2. It'll engage every single one of your questions/statements (besides hitting guardrails).
3. It'll appeal to the person's own ego even when the person is wrong and work around it.
4. It's not seen as a person (very important), but some of us or most of us at least in certain dialogues, end up anthropomorphising it. Think about that one time you thanked it for something, or when you got angry at it. This weird combination where we know it's not a person but irrationally we're still treating it as such in a way leads to a sort of disarming effect imo.
5. Many people see it as an authority figure in what is being discussed without questioning the results in many cases, even though we know that a. it was trained on human data and/or also searches up human data real time (and more worryingly other AI's data from news pieces, blogs... aka synthetic data that is also wrong), b. it gets things wrong all the time.
6. It's the perfect fence sitter depending on which version (guardrails) we're talking about.
Most of these can be replicated by humans who are good at understanding psychology and are just good talkers. The part you can't replicate is the sense that you're not talking to a person which lowers many barriers in people.
Also keep in mind that these can also be crippling weaknesses. For one being able to change a person's mind (when it works), can be used nefariously by the entities controlling the AIs training.
I've also unfortunately witnessed a lot of people who think AIs are somehow omniscient and/or omnipotent. Was very common on X and other social platforms with AI where people ask the AI questions it couldn't possibly answer because it made no sense for it to in the context at the time.
You cannot risk companies like Anthropic, OpenAI or their business partners like Microsoft having unfettered access to proprietary data on your company/businesses.
It it likely that they or rogue employees will use the information to make a profit? It's pure speculation, but I'd say more than likely, and we will never hear about it or read it on the news unless there's whistleblowers in high enough positions to know about it.
Assuming you and your employees aren't careful with what data you share, they will have intimate knowledge about your company from files and conversations logs. Likely personal user data too which they'll gladly create databases to link to and create extensive profiles on you, your employees and your businesses.
It's not far-fetched to see them leveraging insider information shared with LLMs to play the stock market, leveraging data against competing businesses in other markets they might want to explore, and likely a bunch of other things that are escaping me right now as I write this.
At the end of the day it's on those people for sharing such sensitive data, but it's not like these AI companies are innocent and won't gladly exploit every little byte of data without telling you, we know it happens.
Jun. 10, 2016 Warcraft Film
Dec. 21, 2016 Assassin's Creed Film
Jan. 27, 2017 Resident Evil: The Final Chapter Film
Mar. 16, 2018 Tomb Raider Film
Apr. 13, 2018 Rampage Film
May 10, 2019 Pokémon Detective Pikachu Film
Feb. 14, 2020 Sonic the Hedgehog Film
Dec. 4, 2020 Monster Hunter Film
Apr. 23, 2021 Mortal Kombat Film
Jun. 25, 2021 Werewolves Within Film
Feb. 18, 2022 Uncharted Film
Feb. 24, 2022 Halo TV series
Apr. 5, 2023 The Super Mario Bros. Movie Film
Apr. 8, 2022 Sonic the Hedgehog 2 Film
Jul. 14, 2022 Resident Evil TV series
Jan. 15, 2023 The Last of Us TV series
Jul. 27, 2023 Twisted Metal TV series
Aug. 25, 2023 Gran Turismo Film
Oct. 27, 2023 Five Nights at Freddy's Film
Apr. 5, 2024 Knuckles TV series
Apr. 10, 2024 Fallout TV series
Aug. 9, 2024 Borderlands Film
Dec. 20, 2024 Sonic the Hedgehog 3 Film
Apr. 4, 2025 A Minecraft Movie Film
Apr. 25, 2025 Until Dawn Film
Dec. 5, 2025 Five Nights at Freddy's 2 Film
Jan. 23, 2026 Return to Silent Hill Film
Jan. 30, 2026 Iron Lung Film
May 8, 2026 Mortal Kombat II Film
PS: Note the question being asked is "Will it be any good?" Not "Will it be profitable?"
For every one good movie or show you get ten bad ones.
The model essentially is just doing what it always does which is predict the next token, but the next token now is split into two and nudged towards one side more often than the other which is how over a body of text identifies if the text was in-fact AI or not. Which is also why the shorter the text the harder it is to identify.
As for the second half, I predict that almost all American, Japanese and European labs will use watermarking at some point (as well as SynthID for other generative AI). It doesn't matter if they all have unique internal seeds because they'll give people the tools to ID AI, be it by selling it (unlikely for most use cases , but likely gonna happen for academic where they'll provide some value app that bulk checks student works), or more likely make it free to check like SynthID where you simply ask Gemini if the image has SynthID. At which point they can just pay each or use each other's tools to check.
The wildcard are the Chinese models, but those will likely force some sort of watermarking as well, if not for the global market, for the CCP's benefit.
Here's a visual representation of the watermark: https://i.imgur.com/JNUIykX.png
This is even worse in such forms of writing like coding, where there's even less choices the model can make on what the next token should be. Plain text in code will obviously be watermarked, that includes comments. But the code itself might get watermarked by choosing certain code over others more often.
I'm inclined to believe the models will be instructed to not watermark code, especially since it's harder to detect reliably because the shorter the body of text the harder it is to detect, but who knows what Anthropic and all the other AI labs will decide to do in the future.
EDIT: Also for those in the comments who are naive enough to think Anthropic is doing this just because the EU said so and not because it's beneficial to them (and all other AI labs), well, you are indeed naive. Identifying code will be paramount in training future models because the more synthetic data you feed it, the more cannibalization happens, the worse the models will perform over time due to lack of good data, among other such reasons as selling AI detection services to colleges, and a plethora of other reasons.
Note that I'm not disputing that there is a visual difference, there is, the image is clearer, shaper, with better darks, but the entry fee paired with how out of the way 70mm is, it's just ends up feeling like FOMO.
My opinion doesn't hold much value since I just dislike the cinema experience in general. I like being able to control the environment I'm in when watching something (pausing, eating, loudness...) and whenever I go to cinemas I have to deal with people having their smartphones screens brighten up, people yapping and laughing at things that aren't funny, eating noises, etc...