"Eat your own slop!"
Of course they know that if people keep feeding slop into the AI training it will just get sloppier and sloppier. But what other data do they have to feed into bigger models now they've already hoovered up pretty much the entire Internet?
I just wanted to let you know that you have successfully driven me off of
Not just you, obviously, the site has been in steep decline for a long time, but you were such a huge asshole that you managed to be the last straw. So, congrats for that. I won't be back.
How on Earth are people like you reading security event disclosures (which they try to spin *down*) as "bragging"?
Do you do that with other security event disclosures from other companies?
(I think there's some confusion re: probabilities because of the top-P selection after the final softmax. But transformers works in a high dimensional (latent) space, and it has to convert back down to a low-dimensional space (tokens/language); the latent space defines a potential routes for the answer to proceed down which has many possible directions that could be taken in token/linguistic space, so you have to "round down" to the nearest position. And it turns out that a slightly noisy rounding works better than a greedy (closest) rounding. Biological brains also benefit from (quite high levels of) noise).
Actually, they're not black boxes anymore, and they work via chained fuzzy logical reasoning, not "statistics" (except by a pedantic and useless definition of "statistics" that defines the entire universe and everything in it, including us, as "statistics").
What we don't do is define how those logical reasoning pathways are setup. AIs are "grown", not programmed. The situation is not like that of a program written by a programmer, but more like a pet owner whose dog they raised runs off and kills someone's cat, or a parent whose child sneaks out and breaks into a store to steal money. There's no criminal liability for OpenAI here (there's no mens rea, a requirement of cybercrime statutes), but I can see a very strong case for civil liability. Not only weren't they monitoring the J-space or watching what features fire, they weren't even monitoring the CoT, which is just a plaintext log, or even monitoring the actions taken in realtime. This was shocking to me. I figured they had smaller models monitoring *everything* the bigger models did in every test scenario, looking for malicious behavior. Haha, nope, they just submitted a prompt and then completely ignored them until they submitted their final answer.
Nobody is going to jail over this, but there could potentially be some big payouts.
The question that needs answering though is this: who at OpenAI gets fired for letting a piece of internal software directly access external websites?
I suggest someone invite Sam Altman to visit the County Sheriff's Department for an interview.
You do understand that products are "essentially fungible" and crude is semi-fungibl (most crude is pretty fungible), and the US is not an island in this marketplace?
Also, you do realize that Aframax rents from Venezuela are ~$1,5m in early 2026 to ~$3,5M? Even your "cheap case" is increasing crude prices by 5%. But to repeat: the US is not an island in this global marketplace. Products get exported from US refineries and sell at globally competitive prices, which forces US consumers to pay globally-competitive prices as well.
At present, no. I've done a number of experiments with LLMs' capabilities with generating fiction, and while they are impressive for a beginner writer -- because fo the lack of spelling and grammar mistakes, they are nowhere near being able to write competent fiction.
This is because they don't model reader or character minds, they're based on word probabilities, like a predictive text keyboard. The engineers can compensate for for this to a surprising degree by feeding it data to recognize specific situations (e.g. the car wash is 100 feet from my driveway; should I drive or walk?). But this is turd-polishing.
AI technology practice isn't foundational. Critical thinking is. The closer AIs come to being able to do something that looks like them doing our thinking for us, the more capable we have to be at thinking without them. A human who can't outthink an AI adds nothing to an AI-human partnership.
This proposed school is a typical scheme by people who think because they have been educated, they understand how the education works. This is like thinking because you eat, you know how to cook. Project work in education is nothing new; it goes back well over a century. And in real life, you may get a STEM degree, but your real education in engineering comes from real life work. But that doesn't mean classes in calculus and physics don't do anything for you.
Or English classes, for that matter. Nobody doubts the value of project work in education, particularly *androgogy* -- the education of adults. But for *pedagogy* you have to establish foundational skills as the student matures intellectually and socially. Entering the high school years, a typical student has had *no* training in critical thinking skills. To develop critical thinking skills in an area, you need both general skills (epistemologicla literacy: research, location of orignial sources, dealing with conflicting evidence) and domain specific training in that area. In other words, *liberal arts* training is foundational in an AI-saturated world. "Liberal Arts" -- from *artes liberales*: literally the skills necessary to be a free person.
But I think these people have at least got the problem right: as AI drives the cost of elaborate projects down, we all have more projects in our future. Big, elaborate, faultlessly plausible-looking projects which may or may not have actual value.
Where they are completely wrong is the solution, which is to organize education around practicing using AI to make impressive projects. In a word of AI-enamored dunces this will put you at the head of a very sorry class of ignoramuses. The answer is to build fundamental cognitive and intellectual skils at every stage of a student's development. Project work is surely part of that, but it's just a technique, not a solution.
In a nutshell, the academy is training students to be the next step down the evolutionary scale from code monkeys. More like the pigeons B.F. Skinner trained in WW2 to peck at a screen, in an attempt to create a primitive guided missile without computers. They want to create "main characters"; and they'll probably create a few. There are always a few natural autodidacts in any moderately large group. But what they are set up is to produce a bunch of fragile, economically privileged narcissists trained to cover their lack of education with impressive-looking AI slop.
La MIGA!
Have you checked out tanker rates lately? You absolutely save money by having more domestic supply in this environment.
(Crude isn't exactly "cheap" either)
The models are not good at math. They use external planning tool calls and separate calculation engines that are good at math but are not AI.
It's best to think of the models as natural language user interfaces hooked up to a variety of calculators. Kind of like when a PHB is micromanaging Dilbert.
I just tried this for fun with Gemini (hardly the best model, but I wasn't about to spend the money having an agentic framework of high-end models go over it
1) Working with the Iranians at the upcoming UN meeting to try to strike a deal where the US stops its blockage of Iranian oil in exchange for Iran allowing free traffic through Hormuz, without nuclear programme preconditions.
2) Adding pressure on Putin to accept the Ukrainian offer of a mutual energy industry targeting ceasefire
3) Focus freed up US naval forces on protecting convoys through the Bab-el-Mandeb
4) Launching an emergency Jones Act waiver
5) Order the EPA Administrator to issue temporary waivers easing seasonal Reid Vapor Pressure (RVP) gasoline restrictions and granting flexibility on Tier 3 sulfur credit banking.
6) Convene the CEOs of the top domestic refiners into a taskforce run by the Department of Energy to coordinate autumn maintenance schedules to avoid multiple regional coker and hydrocracker units taking turnaround downtime simultaneously.
7) Formally announce that the administration will not conduct large-scale, unrefined crude releases from the SPR. Signal to the industry that physical crude in domestic storage is adequate, shifting regulatory focus to downstream bottlenecks.
8) Reprogram allocated DOE infrastructure funds ($1.4 billion) to expedite cavern repairs at Bryan Mound and Bayou Choctaw.
9) Deploy the Northeast Home Heating Oil Reserve (NEHHOR) strictly on an exchange/loan basis (where refiners borrow diesel barrels now and repay them with interest in refined barrels next spring) to protect national balance sheets while easing spot tightness
10) Issue an Executive Order under the Defense Production Act (DPA) to expedite pipeline compressor stations and pipeline permits connecting the Permian Basin to Gulf Coast refining hubs
11) Direct the Surface Transportation Board to prioritize crude and chemical feedstock movements on Class I railroads.
12) Use USDA Commodity Credit Corporation (CCC) authorities to establish emergency fuel cost-offset credits for agricultural producers and commercial freight carriers until crack spreads retreat below $30/barrel.
13) Announce this unified security-and-energy plan publicly to provide appropriate signals to the market.
Badges? We don't need no stinking badges.
