The leopards have been punished for eating faces with paid leave and when they are brought back to supervise people with tasty faces they will take the consequences of their actions FAR more seriously, we guarantee you!
Where the real economic opportunity in AI rests is with all of the news organization daily home pages from this time period that are easily turned into hyperbolic ad-libs retroactively by removing the word “AI” and letting people replace it with something funny like “Sporks”.
And among tech oligarchs, Bezos is all too typical. Peter Thiel, for one, once revealed that his three best ideas for achieving true freedom are “cyberspace”, “outerspace” and “seasteading” (the idea of building new countries on floating oil rigs). In other words, this man, whose enormous wealth affords him access to the most spectacular settings our planet has to offer, actually believes these three cold, dead places are superior to the Earth we have, verdant and alive.
It is INCREDIBLY damning that our society has regressed to the point that it doesn’t recognize this as a bullshit marketing move to invite regulatory capture and essentially bail these unprofitable companies out.
Law schools are already wrestling with the tradeoff. The University of Chicago is creating AI-free spaces in required first-year classes and exams while introducing AI into legal writing and advanced courses. Stanford students analyze legal problems independently, then critique AI-generated answers. These schools are separating the work that establishes a cognitive foundation from the work where AI can extend it.
The AI component of AERO transforms this from a conventional audit enforcement program into something courts have not yet fully evaluated. Rather than deploying human auditors to review specific findings, AERO is designed to use AI analytical tools to re-evaluate and re-score years of historical Single Audit data, flagging patterns and irregularities through processes that the agency has not publicly explained. If HHS later uses an AI output as a material basis for withholding funds, disallowing costs, suspending or terminating an award, or initiating debarment, an affected grantee may be told what the system flagged without being given enough information to test why or learn how it reached that result.
There are a few weird guys in there that I wasn’t already aware of. I knew that Louis Rossmann was kind of an asshole, but being openly active on kiwifarms is actually fucked up.
Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid — welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.
The central myth of AI is that it functions objectively. In reality, an AI model is simply a pattern-matching engine. It learns to associate certain visual features with certain diseases.
For reasons of my own to be revealed in due time, I was searching for the term “programmer mysticism” and found this essay by Kenneth Reitz: Programming as Spiritual Practice
The main environmental concern about ocean-based data centers involves the seawater used for cooling. Discharging warm or hot water can potentially affect oxygen levels, pH and marine life in the surrounding waters.
“More and more of our customers are telling us ‘we want to run our data centers using humanoid [robots]’ because you can run them at higher temperatures, in the dark, and all these things,” says Paul Golding, who oversees so-called physical intelligence at the chipmaker Analog Devices.
The problem is definitely that screens are bad for people and social media is inherently bad, not that we have handed over power in our society to rightwing silicon valley moguls with these kind of batshit crazy beliefs, and not just general power over society… power to shape how we socialize with one another online.
Cue breathless news headlines about how AI can now automatically absorb viruses like the borg which hopefully scares people enough to juice up the value of AI stocks just a littttle longer…
In this week’s Better Offline, Ed talks with computer science professor and writer Cal Newport about what the recent AI hacking incidents actually mean, why we should stop referring to LLMs as AI, and what the post-bubble world looks like for LLMs.
Given how murky the internal activities of AI labs are and how new the AI industry is, it is unclear whether or to what extent AI labs are currently engaging in RKA. However, the labs have a strong incentive to do so. New data, better models, and new markets will be critical to maintain the stratospheric growth that the market valuations of labs imply. Recent macroeconomic work on AI bubble dynamics helps formalize this pressure: High valuations can be sustained only with high growth and eventually high profits. Given that AI is a “general purpose technology,” there has already been a natural incentive for AI providers to integrate their models into a wide range of industries. The next step is for those providers to expand their market vertically to downstream uses, owning those uses, not merely servicing them.
We often seek to dismantle false narratives by asserting the opposite, but perhaps a very valuable lesson from this series is precisely to highlight the value of not finding quick answers, of not resorting to comfortable solutions and familiar places, but rather, to recognise the unique value of generating more questions.
Damn, it totally sucks that we have to cap the subscriber number of all lemmy/threadiverse communities to 200 subscribers, otherwise nobody can agree on anything and all the upvotes/downvotes on comments tends towards 50/50 splits and any consensus established disappears.
Most of the people mentioned above held more senior positions than me at the time I worked with them, and all of them considered a formal education and computer science and skills in algorithmic problem-solving to not be important for a successful career. That mindset was either condoned or celebrated at many places I worked in. The people I wrote above weren’t considered bad performers.
Edit: I’d like to preemptively clarify I don’t have anything against these specific examples, nor am I trying to invalidate the work that went into creating them or any other examples of anti-AI fonts. This post is meant to critique the idea itself. I’m not trying to put-down anyone here!
“It’s very hard to collect data that trains the model to be better than humans, because there are very few humans who can create that data,” Raj said. “You want to make it better than a Fields Medalist or a Nobel Prize winner. How do you collect that?”
Beyond the fact that “superintelligence” is undefined, he overstates the importance of AI in the scheme of things. Centralization and access may be defining questions for AI policy, but AI policy exists in a global context that invites tougher inquiries.
“Go to your parents and ask them: hey, like every time I get a chance to talk to my boss, ask me if I can have more days off,” he said, per BI. “Ask your parents what they think of that as a career strategy.”
“Maybe it’s more important to influence the agent than even the human, because with a human you influence one person,” Mobian cofounder and CEO Jonah Goodhart told Digiday. “When you influence ChatGPT, you’re influencing potentially all of ChatGPT. If ChatGPT changes what it says about [a brand], it’s massive and it’s more than any one campaign could ever do.”
Showcase payments were a response by Google to threat of being forced to pay for news in Australia and the EU, he said. The AI deals are an attempt to “buy some friends” as Google is accused by regulators in the UK and elsewhere of abusing its monopoly power to secure access to content to feed its AI models.
The Chinese modelers, for lack of unlimited venture capital, have had to find better ways to solve the problems. Their use of different algorithms allows them to deliver nearly similar results for much less money.
The CEO, who famously studied philosophy and earned a PhD in social theory, implied in Palantir’s quarterly shareholder letter that these were the kinds of capitalists who gave rise to Marxist socialism.
edit 2 this is the article I meant to share from Nik Suresh who Ed featured https://ludic.mataroa.blog/blog/ai-mania-is-eviscerating-global-decision-making/
That worldview is expressed through science fiction: not as decoration, but as the medium that makes its accumulation strategies feel natural, necessary and inevitable. This is not to say that science fiction precedes or causes these projects – it is part of the cognitive and institutional scaffolding within which certain ambitions become thinkable and certain power grabs feel like common sense.
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