okwhateverdude
Did someone say joint?
haha, yeah I am well aware I could do something like that. Unfortunately, once you start working for larger companies, your options for solutions to problems typically shrink dramatically and also need to fit into neat little boxes that someone else already drew. And our environment rules are so draconian, that we cannot use k8s to its fullest anyhow. Most of the people I work with have never actually touched k8s, much less any kind of server oriented UNIX. Thanks for the advice though.
This kinda functionality is surprisingly apropos to a problem I have a work, I realize. And yet, I have k8s. More and more I am appreciating the niche systemd can play with pets instead of cattle and wished corps weren’t jumping to managed k8s and all of that complexity it entails immediately.
It makes somewhat passable mediocrity, very quickly when directly used for such things. The stories it writes from the simplest of prompts is always shallow and full of cliche (and over-represented words like “delve”). To get it to write good prose basically requires breaking down writing, the activity, into its stream of constituent, tiny tasks and then treating the model like the machine it is. And this hack generalizes out to other tasks, too, including writing code. It isn’t alive. It isn’t even thinking. But if you treat these things as rigid robots getting specific work done, you can make then do real things. The problem is asking experts to do all of that labor to hyper segment the work and micromanage the robot. Doing that is actually more work than just asking the expert to do the task themselves. It is still a very rough tool. It will definitely not replace the intern, just yet. At least my interns submit code changes that compile.
Don’t worry, human toil isn’t going anywhere. All of this stuff is super new and still comparatively useless. Right now, the early adopters are mostly remixing what has worked reliably. We have yet to see truly novel applications yet. What you will see in the near future will be lots of “enhanced” products that you can talk to. Whether you want to or not. The human jobs lost to the first wave of AI automation will likely be in the call center. The important industries such as agriculture are already so hyper automated, it will take an enormous investment to close the 2% left. Many, many industries will be that way, even after AI. And for a slightly more cynical take: Human labor will never go away because having power over machines isn’t the same as having power over other humans. We won’t let computers make us all useless.
Fully expected an “ExcuuuUUUuuuse me, Princess” in that second frame
AI Slop summary:
Title: The world’s $100 trillion fiscal timebomb keeps ticking
The International Monetary Fund (IMF) is urging global finance leaders to address rising public debt levels, which are projected to reach $100 trillion this year, primarily driven by China and the United States. As finance ministers and central bankers prepare for meetings in Washington, IMF Managing Director Kristalina Georgieva emphasizes the challenges of low growth and high debt, calling for governments to stabilize their finances. Upcoming reports from the IMF and credit agencies, including Moody’s, will scrutinize the fiscal health of major economies, with particular focus on the UK and France. In the U.S., economists anticipate modest increases in home sales despite a struggling residential market, while various economic data will be released, including durable goods orders and the Federal Reserve’s Beige Book. Central banks in Canada and Russia are expected to adjust interest rates in response to inflation trends. Globally, central banks are closely watched as they convene in Washington, with notable figures, including European Central Bank President Christine Lagarde, scheduled to speak. In Asia, economic indicators from countries like China, Japan, and South Korea will provide insights into regional economic performance. Additionally, concerns about fiscal discipline are rising in Brazil and Mexico, where economic growth forecasts are being revised downward. Overall, the global financial landscape remains precarious, with significant attention on public debt and central bank policies.
Autism or not, without any establishing priors, you can’t confidently say what is happening in a single picture. You can make guesses with varying levels of confidence. That’s just logic? So really, the test seems to sort people based on whether they make poor inferences quickly? Sounds like it isn’t identifying autism, but people that are shitty at logic.
But perhaps the intent of the test isn’t actually to accurately describe what is happening in the picture, but instead to give “vibes.” The people at the beach picture gives the “vibes” of vacation because the likelihood of the viewer of the picture to live near is a beach is actually pretty low. Same thing with Stonehenge. Essentially, the (biased) collective unconscious association of Stonehenge with celestial events.
In other words, due to the ambiguity in the test between vibes check vs. a literal, accurate description of the events transpiring in the picture, the people unable see the trees in a forest default to vibes and expect everyone else is like them. It is very “othering” by assuming the vibes check is the default position because a complete lack of thinking rigor being applied.
Anyhow, corporate trainings are a shitty scam given by very unqualified people in a lot of cases.