8,660 karma · joined March 7, 2011
He linked to three different studies: https://www.science.org/content/article/ai-chatbots-are-beco... https://www.technologyreview.com/2026/08/25/1140958/your-bra... https://www.eurekalert.org/news-releases/1135087
Are we dealing pro-AI astroturfing in the lead up to IPOs?
Also noticed this item got shadowbanned off the front page, without as much as a "flag" designation. The pro AI crowd seems unable to face the reality that AI is being used in nefarious ways by the most powerful people, in ways that many were warning about a decade ago.
Your comment lacks context.
That's a big claim that his whole thesis rests on but is largely not backed up. Where are the apples-to-apples tokens-to-answer benchmarks that he's using - doesn't look like there are any, just a handwavy implication that US models are more token efficient, which they may be. But how is there so little effort in establishing this point in the article? And US labs may be in much different situations from one another: it's known that some labs like OpenAI bought big, early on compute and may have secured better pricing.
His article also does not mention the average price of electricity in China vs the US, which it seems like China leads on, and probably has the political power to more heavily subsidize. While I agree the COGS is often overlooked by top line benchmarks on coding tasks, etc, it seems that he's running on a big assumption while claiming "labs on the frontier will be fine".
2021 - "Despite the prevalence of deepfake audio tech, banks and ISPs rush ahead with “voice print” authentication" https://keydiscussions.com/2021/12/07/despite-the-prevalence... ends with a section called "The next crisis: robocalls that spoof the voices of victims at scale"
Meta has always wanted the appearance of caring about safety (helps them attract talent and keep mission-related morale high), while nearly always prioritizing growth (save for tiny blips of time, like in 2017 when the fallout of the cambridge analytica stuff was hitting a crescendo), whereas companies like X are run by people explicitly disinterested in putting significant resources into safety, especially research.
I will also add that, for the past few years, Meta and X both have become extremely hostile to external researchers of their platforms, shutting down access to tools and data.
This looks like a slop article. It seems to be referring (without a link) to https://timesofindia.indiatimes.com/technology/tech-news/mar... which itself appears to be referring to this (without a link) https://www.wsj.com/tech/ai/meta-to-create-new-applied-ai-en... Neither of these articles include the word "finished" in them.
Update: and fwiw here is Andy Stone saying it's false https://x.com/andymstone/status/2031129981267620314
- Flash a custom image in the menu bar as a visual notification, for ANY reason, via AppleScript.
- Pull usage data like total time, per-app time, per Space time, via AppleScript.
- Navigate to a specific, named MacOS Space via AppleScript.
You can also have the app call its custom AppleScript on Space-change and/or active app-change events.
OpenAI President Greg Brockman was the biggest donor to Trump's super PAC in H2 2025, donating $25M https://www.techmeme.com/260102/p10#a260102p10
OpenAI CEO Sam Altman warned the financial industry of a “significant impending fraud crisis” because of AI voice print fraud.
https://finance.yahoo.com/news/openais-sam-altman-warns-ai-1...
I guess if it takes someone like San Altman saying something obvious for bank execs to listen (I'm sure security people at these companies have already told them these things), then so be it
1) They are far from profitability. 2) Meta is aggressively making their top talent more expensive, and outright draining it. 3) Deepseek/Baidu/etc are dramatically undercutting them. 4) Anthropic and (to a lesser extent?) Google appear to be beating them (or, charitably, matching them) on AI's best use case so far: coding. 5) Altman is becoming less like-able with every unnecessary episode of drama; and OpenAI has most of the stink from the initial (valid) grievance of "AI-companies are stealing from artists". The endless hype and FUD cycles, going back to 2022, have worn industry people out, as well as the flip flop on "please regulate us". 6) Its original, core strategic alliance with Microsoft is extremely strained. 7) and, related to #6, its corporate structure is extremely unorthodox and likely needs to change in order to attract more investment, which it must (to train new frontier models). Microsoft would need to sign off on the new structure. 8) Musk is sniping at its heels, especially through legal actions.
Barring a major breakthrough with GPT-5, which I don't see happening, how do they prevail through all of this and become a sustainable frontier AI lab and company? Maybe the answer is they drop the frontier model aspect of their business? If we are really far from AGI and are instead in a plateau of diminishing returns that may not be a huge deal, because having a 5% better model likely doesn't matter that much to their primary bright spot:
Brand loyalty from the average person to ChatGPT is the best bright spot, and OpenAI successfully eating Google's search market. Their numbers there have been truly massive from the beginning, and are I think the most defensible. Google AI Overviews continue to be completely awful in comparison.