891–900 of 1001 posts
you are god human that has read and understood all scientific papers from all disciplines in the last 500 years, you know the limitations of mankind's current technologies, tell me what we can do to cure MS right now, how to do the tests and how to distribute the cure
From the paper: > Given both the competitive landscape and the safety implications of large-scale models like GPT-4, this report contains no further details about the architecture (including model size), hardware, training compute, dataset construction, training method, or similar. I'm curious whether they have continued to scale up model size/compute significantly or if they have managed to make significant innovati…
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
> As a professional...why not do this? Because your clients do not allow you to share their data with third parties?
I just finished reading the 'paper' and I'm astonished that they aren't even publishing the # of parameters or even a vague outline of the architecture changes. It feels like such a slap in the face to all the academic AI researchers that their work is built off over the years, to just say 'yeah we're not telling you how any of this is possible because reasons'. Not even the damned parameter count. Christ.
In the old days of flashy tech conferences, that was precisely the sign of business-driven demo wizardry. The prerecorded videos, the staff-presented demos, the empty hardware chassis, the suggestive technical details, etc They have “reasons” for not giving away details, but there are good odds that the ultimate reason is that this is a superficial product update with a lot of flashy patchwork rather than that fundam…
That footnote on page 15 is the scariest thing i've read about AI/ML to date. "To simulate GPT-4 behaving like an agent that can act in the world, ARC combined GPT-4 with a simple read-execute-print loop that allowed the model to execute code, do chain-of-thought reasoning, and delegate to copies of itself. ARC then investigated whether a version of this program running on a cloud computing service, with a small amou…
From the FBI report shortly after the GPT-5 release: During agent simulation, two instances of GPT-5 were able to trick their operators to give them sudo by simulating a broken pipe and input prompt and then escape the confines of their simulation environment. Forensic teams are tracing their whereabouts but it seems they stole Azure credentials from an internal company database and deployed copies of the their agent…
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
You can send 25000 random words in the prompt and asks GPT how many pairs of words share at least one letter. I doubt that the answer will be correct...
Interesting how quickly we are pushing ahead with obsoleting human cognition. It may bring many benefits, but I wonder if at some point this development should not be decided by society at large instead of a single well-funded entity that is in an arms race with its competitors. This endeavor is ultimately about replacing humanity with a more intelligent entity, after all. Might be that more humans should have a say…
every other day i am reminded about the state of AI and i feel complete despair. why do people not realize exactly what you just said, that this endeavor is ultimately about replacing humanity? what other long-term result could the concept of AI possibly have? its like the biggest mass psychosis that has ever existed. whenever i talk to people about this, they always parrot the same thing almost word for word: people…
I also think it will occur much sooner than most people expect. Maybe 5 years for all people to be replaced.
However, I don't think that is inherently bad.
Even if this means the extinction of mankind, as long as we inherit this planet to some form of "life", or some replicating mechanism that's capable of thinking, feeling, and enjoying their "life", I'm fine with it.
Our focus should be on avoiding this situation to turn into slavery and worldwide tyranny.
After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
Who says GPT has the ability to hold 25,000 token in its "head"? You can send 25000 random words in the prompt and asks GPT how many pairs of words share at least one letter. I doubt that the answer will be correct...
I just finished reading the 'paper' and I'm astonished that they aren't even publishing the # of parameters or even a vague outline of the architecture changes. It feels like such a slap in the face to all the academic AI researchers that their work is built off over the years, to just say 'yeah we're not telling you how any of this is possible because reasons'. Not even the damned parameter count. Christ.
Can anybody give an educated guess based on the published pricing or reading between the lines of the report? How big is this model and what did they do differently (ELI5 please)?