2,165 karma · joined March 21, 2020
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...
They don't even offer refunds.
His entire adult life has been focused on the "live forever, stay young" culture, where he takes dozens if not hundreds of pills a day, avoids direct sunlight, takes blood plasma from his son, experimental longevity interventions such as injections derived from baby foreskins and whatever else he has tried over the years.
He's lived this insane "healthy" life and now he is suffering from yet another auto-immune disease, and in his own words "My stomach is eating itself."
Eating healthy, regular sleep schedules, and avoiding stress are all things we should do, there's no denying that. But it should NOT come at the detriment of living your life and living it well. Plus these recommendations are just basic things that everyone talks about, it doesn't take same health guru's advise.
I have a family member that just turned 104, all her children are dying or severely impaired, she's still there, still alive and looking like she'll easily turn 105. She drank, she smoked, she ate red meat, and she takes one pill a day to regulate her blood pressure which hasn't been a problem in over three or four years.
The biggest factor in people's health is genetic luck. Then your healthy habits, followed by medical help (medication, etc...) The last two you can control, the first is just that, luck of the draw.
Literally not a single one of these AI companies, regardless of where they are in the world has any right to complain about someone copying their work.
I understand that America dominates in distribution, integration, enterprise contracts, ecosystems, infra... The article isn't wrong, it's just that that dominance is fragile and requires constant upgrading.
But what is the point of that if you have to infinitely scale because the opposition is right behind you at all times ready to usurp you... You CANNOT scale infinitely, the VC money will run out at some point and then everyone will have to downscale everything to meet the real costs associated with SOTA models, they'll have to be able to use subscriptions, and other monetization to cover those insane costs, we just saw SORA shut down because it was bleeding money far too fast while the Chinese released video models that far surpassed it back to back to back...
EDIT: Hell, one of the most critical aspects is integration of the models into other products, and even on this end open-source is keeping up (and will eventually outpace when the VC money dries out) with these big companies.
"Rules for thee but not for me."
If you're just copy-pasting answers and you don't internalize what is being said, sure, you're not being curious or more importantly, learning. This DOES NOT mean that every person who engages with an LLM is doing that or doing it every time, and just like using a search engine or grabbing a book can lead you into interesting rabbit holes, so can an LLM, it's just a matter of how fast and to want end.
The real issue is the hallucinations which for people unfamiliar with said topic, can lead them into believing what they're being told is a fact when it's not. Also LLMs like leaving out URLs and sources from their replies to save on tokens often if you don't remind them, that's also annoying.
This whole discussion is bunch of anecdotal evidence, which is fair, and as such I'll give my own. I've found myself engaging more with obscure topics that interest me via the LLMs than I did with a search engine because the barrier is lower. I don't have to sieve through horribly designed websites filled fluff that doesn't interest me, many with dozens of JS trying to run (UBO + noscript thumbs up) and in some cases demanding that certain JS run just for me to see some plain text, some slow to browse with topics hidden under sub-sub-menus. It's annoying and just one of many barriers. Others being language. etc...
There's definitely a lot of issues that need to be addressed at a cultural and social-economical level in places like Dubai exploiting migrant workers like slaves, the UAE, etc... but America has plenty of issues back home at a state by state case. Poverty, infrastructure falling apart, lack of education, lack of affordable health care, lack of job opportunity, high criminality, drug epidemics, etc... Some states feel like entirely different countries when compared to something like New Hampshire.
Even places like NYC and California which are economic hubs have this wide disparity of class, with entire communities of homeless populating the streets at crazy numbers that would make other nations blush (Cali has well over 100k).
Also for the naive people in the comments who say "invest in renewables" it's not that simple. You can buy electric cars but the car's whole manufacturing process had multiple steps that required oil. The same applies to everything, it's not a single layer issues, it's a multi-layer issue that needs addressing from the ground and takes years and years with full investment. The boats, the planes require fuel. The industrial machinery requires fuel. We need to address it from the ground up and it's not an easy feat.
We should 100% invest and diversify energy production, but the reality is that even if we had a surplus of renewable energy on the grid, that wouldn't save a country because there are too many cogs that need oil right now that need replacing.
Also another issue that's not being talked about at all is the impact the war will have in displacing a population of 90 million people. For reference, Syria only had 20 million people and the impact was quite big, although we're still far from reaching that point for now.
But in a perfect world it would be parents doing their job and parenting. You can grab your child's pad, phone, laptop, whatever, and black list the entire internet allowing only a few select white lists of your choice. But it's too hard to educate parents on how to do that I guess, assuming this was ever about children and not data collection, which it is that.