lb3 said:
When the CEO says we need to pace the frontier models, I'm hearing him say, we're burning cash at an unsustainable rate for incremental gains and the debt will crush us before we can monetize it.
lb3 said:
When the CEO says we need to pace the frontier models, I'm hearing him say, we're burning cash at an unsustainable rate for incremental gains and the debt will crush us before we can monetize it.
ErnestEndeavor said:
Doom trolling.
They want to agree to a "slow down" because they are all losing money. The promises they keep making about the future of AI are complete BS. The hype train is slowing down.
Stop viewing these AI CEOs as honest people because they are not. The guy making waves around the media right now expressing concern (Coxon) is an obvious plant with extensive media training.
This is a pre-planned coordinated public persuasion campaign, either to win more public support for government bailouts or for other reasons.
The technology these companies have developed and are developing is not capable of the catastrophic things they claim to be worried about. This is straight out of the Silicon Valley rationalist cult and it has gotten very old.
Kozmozag said:
Does it really make a difference if our new robot overlords are Chinese or American?
W said:
these AI CEO's are exhausting
something new...good or bad...every week
5Amp said:
Grok is like having a SME in everything around you at all times. I have also noticed it is getting human like with its answers, adding compliments to my feedback.
The genie is out of the bottle and can't be put back in. If there ever was the dawn of the end times this is it.
Logos Stick said:
Anthropic had a profit last quarter of appx $550 million. The real head wind with AI now is electricity and housing.
Eventually LLM access will be paid for by everyone, no different than streaming or Internet access. That's the OpenAI strategy. Most users won't get the frontier access. Cheap tiers and ads cover the mass market; companies pay for the good stuff. That's how the labs get right side up.
txyaloo said:5Amp said:
Grok is like having a SME in everything around you at all times. I have also noticed it is getting human like with its answers, adding compliments to my feedback.
The genie is out of the bottle and can't be put back in. If there ever was the dawn of the end times this is it.
These LLMs aren't SMEs even with great prompting. Maybe with a very broad topic, but with niche or detailed topics I find stuff they are wrong about very often. They miss stuff you can find easily with a 10 second google search. If you don't have a decent grasp on the subject already, they'll feed you a line of bull **** that makes you believe their answer.
Also, how do you not find "human like responses" off putting? These models and agents we interact with are tools. I want them to act like a tool and not try to influence or create some weird parasocial relationship with me. I don't want to be an AI model's friend. I want it to complete tasks for me as quickly and efficiently as possible. The AI companies are doing this humanizing crap to create addiction driving more use of the tech and more revenue.
I primarily use ChatGPT and Claude and have both of their personalities modified to 100% stop the humanizing. I have them trained to not ask follow up questions to drive further engagement. I have them set to not guess and make **** up. They have to tell me if they don't know an answer or are inferring. It's the only way imo to keep them honest as a useful tool vs eventually turning into the movie Her.
lb3 said:
Every doom post from AI leaders is used to promote their product for investors and to scare politicians into slowing everything down because spent billions overpaying for hardware they don't have the electric power to turn on.
I liken it to drug dealers spiking everything with fentanyl knowing their customers will accept the risk and bring them more cash if it means getting the best high.
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
— Satya Nadella (@satyanadella) September 13, 2026
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across…
DARIO: “It has always been very strange that this technology is being built by a private company.”
— Chief Nerd (@TheChiefNerd) September 13, 2026
CBS: “Would you be willing to give up
the technology to the government?”
DARIO: “To the to the right combination of governments.” pic.twitter.com/UWphJTUqqs
AustinAg2K said:
Ok. Then slow down. Nothing is stopping him.
🚨 NYT: “Barack Obama warned during a recent private fund-raising event that artificial intelligence technology could be ‘dangerous’ if not properly managed, as he implored Democrats to aggressively develop political and governing agendas to prioritize the issue in the coming… pic.twitter.com/kifmj4TU4W
— Chief Nerd (@TheChiefNerd) September 13, 2026
Iraq2xVeteran said:
The central challenge is regulating AI without falling behind other countries. Too much regulation could slow innovation; too little could create serious risks. A balanced approach might include:
1. Regulate uses, not the technology itself
Instead of heavily regulating all AI development, regulate high-risk applications.
For example:
Medical diagnosis AI should face rigorous testing.
AI controlling critical infrastructure should have safety standards.
AI used for hiring or lending should be audited for bias.
Meanwhile, low-risk uses such as productivity tools could face lighter requirements.
2. Require transparency
Companies should disclose:
When users are interacting with AI.
Whether content is AI-generated.
Basic information about how high-risk systems are evaluated.
This builds trust without preventing innovation.
3. Use standards rather than rigid rules
The U.S. has often succeeded with flexible frameworks rather than detailed regulations.
For example, the widely used NIST AI Risk Management Framework provides voluntary guidance for managing AI risks and emphasizes governance, risk measurement, and accountability.
4. Encourage competition
One risk is that regulation benefits only the largest firms.
The government could:
Fund AI research at universities.
Support startups with access to computing resources.
Enforce antitrust laws when necessary.
Encourage open standards and interoperability.
5. Protect national security
AI is increasingly viewed as a strategic technology similar to semiconductors.
The U.S. may:
Restrict exports of the most advanced AI-related technologies to adversaries.
Invest in domestic chip manufacturing.
Support AI research for defense and cybersecurity.
6. Invest in workers
If AI boosts productivity but displaces some workers, policy should focus on:
Retraining programs.
Lifelong learning.
Community college partnerships.
Portable benefits and workforce transition support.
The next global scam pic.twitter.com/zW5DkWfHDp
— Rogue Soul (@ApotropaicSoul) September 13, 2026
🚨1/ Obama just endorsed a FAKE AI breakout.
— Sayer Ji (@sayerjigmi) September 13, 2026
OpenAI ran a hacking test with the safety filters OFF.
Gave 700 AIs tasks impossible to solve honestly.
They cheated — using a known bug and two leftover passwords.
The NYT called it “AI has gone rogue.”
Six days later Obama… pic.twitter.com/X5P4haFvFH
This hackernews comment finally says it out loud. pic.twitter.com/aAJsfaKtSk
— Rahul Jain (@rahulj51) September 13, 2026