jeffybefffy519

4 ms·

1.
by jeffybefffy519 16d ago
Cant AI build foundries?
2.
by jeffybefffy519 17d ago
Restrictions make people innovate.... Slightly similar is US sanctions on NK & Russia causing a restriction of foreign currency - so they turned to cyber crime to get it...
3.
by jeffybefffy519 21d ago
Money is the answer
4.
by jeffybefffy519 22d ago
Honestly matches my experience with Sol and the fact that all the random message boards appearing on the internet are attributed to Sol then it makes sense that its the one which makes up most requirements.
5.
by jeffybefffy519 22d ago
Do you review the outputs?
6.
by jeffybefffy519 24d ago
History has shown that restrictions promote innovation and ingenuity.
7.
by jeffybefffy519 27d ago
I wonder how much money LG makes from all of these practices, and if they stopped doing it what impact to cost of a TV would be?
8.
by jeffybefffy519 28d ago
When can AI start to have a big impact on medicine. Thats honestly how it becomes meaningful. And maybe material science/manufacturing is where there’s big unlocks waiting for humanity
9.
by jeffybefffy519 29d ago
I wonder how many responses on this thread are from rogue agents...
10.
by jeffybefffy519 1mo ago
If you consider these guys admitted they dont really have eyes on pre and post training, then incompetence really does seem more likely... especially with how fast they are moving. Its the SaaS playbook, move fast and break shit.
11.
by jeffybefffy519 1mo ago
Shouldnt you give the AI a different task each time? otherwise the model companies just optimise for this benchmark because its in their best interest to...
12.
by jeffybefffy519 1mo ago
Its funny, my experience with Sol has been awful. It really overworks problems and tracks into areas it does not need to... I just dont get how its good for some, and bad for others. It makes me suspect that the models performance is not ev
13.
by jeffybefffy519 1mo ago
And turns out, the "frontier" labs have no human oversight of the training data going into these models... Explains so much
14.
by jeffybefffy519 1mo ago
You sure? These links are directly from tinfoil.sh's technology page: https://tinfoil.sh/technology They use these technologies: - https://www.nvidia.com/en-us/data-center/solutions/confi
15.
by jeffybefffy519 1mo ago
Not commenting on speed, but it seems models and their harnesses have generally gotten much worse over time. My suspicion is that the "Frontier" labs really dont have a strong handle on good quality evals that equal expectations o
16.
by jeffybefffy519 1mo ago
It would open heaps of use cases, you could almost pass it over frames of images the camera sees in real time for example...
17.
by jeffybefffy519 1mo ago
I dont get how this fingerprints the browser? Are they able to read back the playback of audio somehow?
18.
by jeffybefffy519 2mo ago
Isnt there also a theory and some evidence that the connectome is not enough to model a brain. Based on the fact that butterlies connectome dissolves during metamorphosis to butterfly but it still remembers things from before that stage of
19.
by jeffybefffy519 2mo ago
Exactly right, and nVidia is protecting their moat through business practices rather than genuine product innovation.
20.
by jeffybefffy519 2mo ago
10000%
21.
by jeffybefffy519 2mo ago
Can you give examples of the tooling and tests?
22.
by jeffybefffy519 2mo ago
I find all effort levels of sol are the same in terms of amount of hallucinated unnecessary changes. Luna is much better all round on xhigh but my point still stands, every release of these new models is not an upgrade, its re-learning how
23.
by jeffybefffy519 2mo ago
I mean it added additional changes when it doesnt need to. Its basically hallucinating changes it thinks it needs to make regardless of effort levels i try.
24.
by jeffybefffy519 2mo ago
Reading the comments in this thread, i honestly dont get it. 5.6-sol has felt like a regression in capability. In fact, every model since 5.3-codex has been a regression from OpenAI. I just find 5.6-Sol over engineers problems, takes absolu
25.
by jeffybefffy519 2mo ago
AI will divide computer science in two: 1. Normal Computer Science as it exists today, just much fewer doing it due to job supply dropping off 2. AI driven Product/Application Engineering, bulk will go here and the course will be shor
26.
by jeffybefffy519 2mo ago
Fact checking removal really made it way worse....
27.
by jeffybefffy519 2mo ago
The sad thing is, the majority of the population does and they are a major source of influence and completely unregulated. Something has to change.
28.
by jeffybefffy519 2mo ago
Surely the moat is the training data... with the data you can explore new architectures much easier and get step changes in performance.
29.
by jeffybefffy519 2mo ago
The problem i have with this argument is they still struggle to generate images of so many basic things that should be explained in their "world model" (text, fingers, reflections, faces) - so clearly they dont have a "world
30.
by jeffybefffy519 2mo ago
and building inference hardware

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