A couple of things:
1. There is a governance mode, so you can restrict the AI and force it to adhere to the established schema. If the AI tries to create a relationship with a type 'FRIEND_OF' one day, then another day it uses 'FRIENDS_WITH', it would block and force the AI to propose the new relationship type. This avoids polluting the schema with variations.
2. The schema could be manually added to a system prompt, but then you have to modify the system prompt everytime the schema changes. This system manages the schema. The AI knows the up to date version of it immediately.
It's been a while (15+ years) since I was in that game... but back then, it was $60k for a Phase I and $200k for a Phase II. Phase III and beyond was open-ended.
You don't really make money on Phase I projects, but that's how you get the ball rolling on future work, which can be very lucrative.
I can only imagine the swarm of AI agents constantly feeding into this project at different levels of product development and even management. (To be fair, if it works out, it might become a template for future "AI-led organizations")
Inform 7 will forever be the best language, not because it's a good language, but because of the way programmers react when you present them a page of Inform 7 code.
Sprinting requires significantly different physical form than just bigger motors. I do not accept the claim that humans couldn't possibly make bipedal robots that can reliably walk without being able to sprint. That's absurd.
The first video appears to be real. Who knows if it's a working prototype or just a mockup, but the fact that it's partly held together by C-clamps makes me lean towards the former. If it was purely for marketing they'd probably make it look a bit more polished.
Weird egos. I moved from academia to industry and constantly got told "In industry we just care that 'it works'". I thought that was a weird premise, given... you know... who doesn't? But the more time I spent in industry the more time I found that they in fact do not care if it actually works. What seems to matter more is the politics and about "working"[0] the right way using the right new buzzword[1]
[0] It works enough for some demo to some person
[1] One example is I beat a company's fancy giant transformer based image detector with a scrappy CNN that took only a few hours to train. They were excited for all of 1 day and then wouldn't let me do the same thing to the transformer model (which would have had a bigger impact). Fun fact, my boss also loved to tell me about how dumb academia is because they never do anything useful and how industry makes all the real advancements.
Pretty much anytime in the past, but mainly industrial revolution, up until an inflection point sometime in the 1970s. While many major areas of knowledge work have suffered from becoming profit focused the advancement of technology for societal advancement is still in existence today, even many of the major AI involved researchers have done so irrespective of monetary gain and at least make the claim that much of the push for capital is simply as a necessary requirement to sustain the research as costs increase exponentially. That's one of the reasons long tail AI profitability is dubious, but also a indicator of the aforementioned risk. If capital becomes the primary driver, i.e. self advancing AI, then it's very unlikely to be continued in any way for the sake of benefits to humanity.
They collect more spy data and do more with it, but none of it directly affects me since they don't extradite from my country or share with my country's police.
I code daily with AI - real programming tasks, real work I use below 3:
codex 5.5 medium - best results less hand holding
glm 5.2 max - mediocre with hand holding and super slow
composer 2.5 - mediocre with hand holding and super fast
I use all, since i run mulitple coding in parallel.
disclosure - I use rexide which we created for all these agents to run in parallel with good visibility and feedback.
It's being extended breathlessly into an moral issue. User asked for gory images, got gory images. Will some one please think of the non-existent women who could be hurt by this?
False positive rates are extremely important in the medical system as it exists today, where most scans will come without a known baseline and doctors cannot prescribe "biweekly scans for the next 6 weeks to see what changes". If we can achieve the kind of imaging abundance they're imagining (which I don't know how to evaluate based on their short post), I think false positives become much less of an issue, at least in the context of cancer where malignancy is the only problem.
I was able to replicate OP's attack. Since ChatGPT generates images via a separate model, I was able to ask it to tell me what the inputs to the tool was. It's a null prompt: a completely unconditional image generation. What I'm not sure of is if these are the average image trained on that had no prompt in the dataset, or if they are the true average of the dataset during unconditional training step. Very interesting nonetheless, as typically researchers are only able to see the unconditional generation of open weight models.
Surprisingly when you ask ChatGPT to generate you an image with these tool params, the output is not the same; it's not remotely graphic.
this was the response the last time this came up here.
you can do all kinds of nonstandard stuff if you control the server, the client, and any steps in between. the point of standards is for when you don't control it all.
put your server behind a managed load balancer or a caching proxy, and your get requests with bodies aren't going to do so well anymore.
Not fully true, in the USA at least. While most erotica is constitutionally protected, "obscenity" is not. To determine if a written work crosses the line from protected erotica into illegal obscenity, US courts apply the Miller Test (established in a SCOTUS case in 1973).
2. The schema could be manually added to a system prompt, but then you have to modify the system prompt everytime the schema changes. This system manages the schema. The AI knows the up to date version of it immediately.