Fripplebubby

28 ms·

1.
by Fripplebubby 1mo ago
Prefilling any model with the first 1% of reasoning tokens from another model should always move the output towards the output of the other model directionally - that's just next token prediction doing its thing.
2.
by Fripplebubby 2mo ago
But of course your brain can process each ear separately. You have a holistic conscious experience, but that is like a hallucination constructed by your brain for your own benefit. The raw signals are indeed "in stereo"
3.
by Fripplebubby 5mo ago
Even if you could do attribution correctly (I think you can do this partially if you are really diligent about A/B testing), that is still only one input to the equation. The other fact worth considering is the scale factor - if a team
4.
by Fripplebubby 6mo ago
> Also, if you don't like the NASDAQ 100 rules, then you don't have to invest in securities that track it. Isn't the idea with the indexes that they allow you to intentionally not take an activist position in the market? T
5.
by Fripplebubby 8mo ago
I think the draft covers this well: https://www.ietf.org/archive/id/draft-knodel-e2ee-definition...
6.
by Fripplebubby 8mo ago
Browser use has a project "Workflow Use" that has similar aims: https://github.com/browser-use/workflow-use
7.
by Fripplebubby 8mo ago
This is not true. The IETF draft is explicit that E2EE means that the message cannot be read by any party other than the sender and the intended receiver. When companies like Meta claim they support E2EE, this is what they claim. There are
8.
by Fripplebubby 10mo ago
Hiring is still a pretty non-uniform thing despite attempts to make it less so - I'm sure there are some teams and orgs at all these large companies that do it well, and some that do it les well. I think it is pretty well accepted that
9.
by Fripplebubby 10mo ago
I take it as a given that what is stored and graphed is an information-destroying aggregate, but I think that aggregate is actually still useful + meaningful
10.
by Fripplebubby 10mo ago
> This is partly a tooling problem. Many of the tools we use do not do a good job of capturing and representing this data. For example, the majority of latency graphs produced by Grafana, such as the one below, are basically worthless. W
11.
by Fripplebubby 10mo ago
They care very deeply about this and devoted a lot of resources to (re)grading the digital versions that you see today on Disney+. The versions you see are intentional and not the result of cost cutting. (I was not directly privy to this wo
12.
by Fripplebubby 10mo ago
I'm hearing you out, but how is this going to affect the part of this that is client behavior rather than database behavior? If there is some kind of sdk that actually captures the interface here (that is, that the client needs to be c
13.
by Fripplebubby 11mo ago
I think I see this point now. I thought of YAGNI as, "don't ever over-engineer because you get it wrong a lot of the time" but really, "don't over-engineer out of the gate and be thankful if you get a chance to come
14.
by Fripplebubby 11mo ago
I think the tricky thing here is that the specific things I referred to (real time writes and pushing SQL predicates into your similarity search) work fine at small scale in such a way that you might not actually notice that they're go
15.
by Fripplebubby 11mo ago
The post is a clear example of when YAGNI backfires, because you think YAGNI but then, you actually do need it. I had this experience, the author had this experience, you might as well - the things you think you AGN are actually pretty basi
16.
by Fripplebubby 1y ago
One of the interesting experiences I have being a member both of this community and the baseball analytics community is seeing posts like this, where apparently the author thinks that they're the only one who had the idea to look at th
17.
by Fripplebubby 1y ago
The way I read the paper, "diffusion" was more of a metaphor - you start with the output of the LLM as the overview (very much _not_ random noise), and then refine it over many steps. However, seeing this, I wonder myself whether
18.
by Fripplebubby 1y ago
One interesting thing I learned from this was how they determined the probable size of this comet probabilistically, rather than using direct observation - basically, based on the observations, it could either be really big (10km) or really
19.
by Fripplebubby 1y ago
Have you heard of https://www.autobiographer.com/ ? Is it similar, different?
20.
by Fripplebubby 1y ago
Maybe I worded this more harshly than I meant. I value anybody who tries to communicate with me and I don't mean to try to discourage people from having ideas or communicating them to me, but - writing is thinking, the act of trying to
21.
by Fripplebubby 1y ago
I think this is a great post. It will ruffle some feathers and people will feel attacked, but I think the core idea is exactly right: if we are communicating and the goal is the exchange of information, use your incredible language faculty
22.
by Fripplebubby 1y ago
Maybe I am blinded by my own use case, but I find the caching pricing and strategy (since different providers use a different implementation of caching as well as different pricing) to be a major factor rather than just the "raw"
23.
by Fripplebubby 1y ago
Yes, 1 year
24.
by Fripplebubby 1y ago
I just filled it out for store credit, and it didn't matter at all the condition of my phone (it's in horrible shape), I just put in the IMEI number and that was that. It could be different for cash, though.
25.
by Fripplebubby 1y ago
Interesting quote from the venturebeat article linked: > “There is also a reason why clinicians who deal with patients on the front line are trained to ask questions in a certain way and a certain repetitiveness,” Volkheimer goes on. Pat
26.
by Fripplebubby 1y ago
I think that the concept of a "foundation model" for time series is actually a bit flawed as presented in this blog post. A foundation model is interesting because it is capable of many tasks _beyond the target tasks_ that it was
27.
by Fripplebubby 1y ago
A lot of it is just fun and silly, but for me it was also an interesting way to develop my taste in something - to hear other people who are real heavy connoisseurs of something discuss it, and learning from them. Of course, you can get thi
28.
by Fripplebubby 1y ago
You might not know this if you don't actually play these games (Madden, 2K for NBA, MLB The Show), but the commentary is extremely high quality, sometimes comparable to the TV broadcast with riffs and tangents as well as describing the
29.
by Fripplebubby 1y ago
Speaking for myself, the author's post resonated with me in two ways - both that it's hard to turn off the business side of the brain ("Could this side project be a startup? Should I build it this way just in case I decide to
30.
by Fripplebubby 1y ago
> Tech needs to keep innovating to keep investors happy and keep investing. It's nice to think that this is just a "tech" problem but unfortunately this is a wider problem in the rich world - it just so happens that "

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