Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
Supply5411
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
14 ms
·
31.
▲
by
Supply5411
3y ago
Server side rendering
32.
▲
by
Supply5411
3y ago
Great example. Right, the deep learning approach uncovers all kinds of hidden features and relationships automatically that a team of humans might miss. I guess I'm thinking about this problem from the perspective of these GPT models r
33.
▲
by
Supply5411
3y ago
I wonder if an expert can "impose" weights onto a model and the model will opt to continue with them when it resumes training. For example, in the vision example, the expert may not know where "orangeness" currently exis
34.
▲
by
Supply5411
3y ago
I've been kicking around a similar idea for awhile. Why can't we have an intuitive interface to the weights of a model, that a domain expert can tweak by hand to accelerate training? For example, in a vision model, they can increa
35.
▲
by
Supply5411
3y ago
They're not. A query produced by an LLM may do exactly what the user asks for, but it is not safe to execute.
36.
▲
by
Supply5411
3y ago
So tools carry the same level of risk if the only way they can do harm is user error, even if that user error is easier to miss by design? I guess I just fundamentally disagree because I think risk analysis is holistic. Is the tool fundamen
37.
▲
by
Supply5411
3y ago
>We burned over 200 hours on it with nothing to show for our time. Can you talk more about this? I'm working in this space now, but not from the "make an LLM give you the right query" perspective, but from the "make t
38.
▲
by
Supply5411
3y ago
Outer joins are inherently risky because they make it very easy to put conditions in a place that looks correct (read: passes review) but isn't, and the results are disastrous (information leak).
39.
▲
by
Supply5411
3y ago
Having a deeper understanding of the different JOIN flavors is critical. For example, I don't think many people realize how deceptively dangerous OUTER joins are: SELECT user.user_id FROM users RIGHT JOIN purchases ON purch
40.
▲
by
Supply5411
3y ago
I must be getting older, because "everything old is new again" keeps coming to mind. Only advice would be: don't follow these fads unless you a) are doing it to learn or b) can quantify tangible business value in the change.
41.
▲
by
Supply5411
3y ago
There isn't a 1-1 of ascii character to base64 character is the thing. 3 ascii character = 4 base64 characters, so changing one of the input changes 1 or 2 of the output.
42.
▲
by
Supply5411
3y ago
Call it whatever makes you feel better, it doesn't change the law, which doesn't make this a tech/privacy issue.
43.
▲
by
Supply5411
3y ago
>Algorithmically it seems to be a 8-bit byte to character mapping Base64 is 6-bits, so there is no mapping of a single character to another single character. Changing 1 character in the input can change 1 or 2 characters in the output be
44.
▲
by
Supply5411
3y ago
I don't know why this surprises me but translating natural languages doesn't. I think it is the sustained accuracy.
45.
▲
by
Supply5411
3y ago
Thanks, confirmed. Do you have any resources where I can read more about this phenomenon?
46.
▲
by
Supply5411
3y ago
Huh, you're right. It got the random string close, but not exact. I'm still blown away... what in its training set could predict that random string as base64 that closely? https://chat.openai.com/share/02d616c
47.
▲
by
Supply5411
3y ago
GPT 4 gets it right. I understand that LLMs have some very rough emergent properties, like arbitrary arithmetic (but its often incorrect). I don't really understand how its able to base64 decode values it has never seen though. I'
48.
▲
by
Supply5411
3y ago
I'm getting perfect results with very long strings. Can you share an example that fails for you?
49.
▲
by
Supply5411
3y ago
Sorry but I have to call bs. How do you explain this? It decodes a huge (guaranteed unique) string perfectly: https://chat.openai.com/share/417169ed-8256-46cb-a3ed-81ab06...
50.
▲
Tell HN: ChatGPT Can Decode Base64
8 points
by
Supply5411
3y ago
|
26 comments
51.
▲
by
Supply5411
3y ago
>Court and police records show that police began investigating 17-year-old Celeste Burgess and her mother Jessica Burgess after receiving a tip-off that the pair had illegally buried a stillborn child given birth to prematurely by Celest
52.
▲
by
Supply5411
3y ago
>Why would you even make this opt-in? Businesses are not your friend
53.
▲
by
Supply5411
3y ago
The real issue is obviously people are mad that abortion laws are being enforced. If two people were coordinating their intentions to murder their friend and get rid of the body, would you be mad if the company turned over their "priva
54.
▲
by
Supply5411
3y ago
Do everything as fast as possible, seems about right
55.
▲
by
Supply5411
3y ago
You answered your own question: the advertising that they produce is what they're comfortable with.
56.
▲
by
Supply5411
3y ago
Maybe the real lesson here is nobody who wants to speak their mind should be supporting themselves on a platform of nervous advertisers.
57.
▲
by
Supply5411
3y ago
This reads like you're saying its a bad thing to prove the existence of these manipulative power structures because it happens to make someone more credible. Like "No, no, power structures, stay hidden, you're only helping hi
58.
▲
by
Supply5411
3y ago
>you're not actually competing over someone who's using an AI girlfriend since they have removed themselves from the dating pool. They're still competing for the attention of men they don't desire.
59.
▲
by
Supply5411
3y ago
If you feel an existential crisis now, just wait until the artificial wombs. Replacing man's reliance on woman is where technology is heading.
60.
▲
by
Supply5411
3y ago
The same way you know that the things you learn from a person isn't made up gibberish: You see how well it explains a scenario, how well it lines up with your knowledge and experience, and you sample parts to verify.
More ›