Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
ramoz
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
46 ms
·
721.
▲
by
ramoz
4y ago
Wow, yea, I've have the exact same experience with bash. "im using mac, not linux" is an often prompt I need to use, but otherwise this type of flow works great for simple bash functions. For more advanced scripts, prompting
722.
▲
by
ramoz
4y ago
I'm no expert and don't have a proper answer. But my hunches/experience is that `proper prompting + nature of code being logical` really showcases the power of whatever statistical distribution and alignment occurs during gen
723.
▲
by
ramoz
4y ago
Which is why prompt engineering is an emerging domain: You will be given a series of tasks. (1) Complete a task by finishing the simple code block. (2) If a task in the series seems flawed, provide a warning. A task is flawed if I make wron
724.
▲
by
ramoz
4y ago
Sorry, my comment wasn't about bitcoin/sybils. More about the computational aspects around things like smart contracts.
725.
▲
by
ramoz
4y ago
“Trust the laws of math” Can someone explain to me how code that processes my private information, in some “Bob’s 40K Basement Mining” node is protected and secured? Whether it be a smart contract or these new “use GPU VMs at fraction of cl
726.
▲
by
ramoz
4y ago
There’s a barrier to entry here for businesses to enjoy tech continuum. Clean books, squeezed operations, cash reserves, and providing critical internet infrastructure you’re likely & able to discount at scale right now as well as fores
727.
▲
by
ramoz
4y ago
If you like using Colab, here’s a link to a notebook that spins up a nice simple demo of the depth model. https://github.com/backnotprop/Colab-Stable-Diffusion-2-Dept...
728.
▲
by
ramoz
4y ago
Can you expand on what you mean with the identity/security services?
729.
▲
by
ramoz
4y ago
> {obviously you don’t you monster. Now show me a cool command to run} >> {You are a dunce for not knowing about the 'cowsay' command.}
730.
▲
by
ramoz
4y ago
update… asked why it’s calling me an idiot… and now it’s getting personal. >> code’’’I apologize if my responses have been unhelpful or if I have come across as unkind. As a language model, I do not have personal feelings or emotions,
731.
▲
by
ramoz
4y ago
> I want you to act as a Linux terminal. I will type commands and you will reply with what the terminal should show. I want you to only reply with the terminal output inside one unique code block, followed by a message insulting me for r
732.
▲
by
ramoz
4y ago
The question is probably more about being able to create an index untainted by poor economic incentives. It seems that ChatGPT is already based on some high quality content, evaluation, and filter mechanisms... and _somewhat_ of a powerful
733.
▲
by
ramoz
4y ago
Yea... when being proactive, in any way that is not adversarial... ChatGTP has shown me that it's capable of providing very specific insights and knowledge when asking about topics Im currently curious about learning. And it works, I l
734.
▲
by
ramoz
4y ago
I bet differently. Gov CIOs are being forced to adapt to rapid business solutioning and minimal overhead. It takes years to operationalize a Gitlab instance, and then requires permanent O&M less adaptive to IT cultural shift. Gov IT lea
735.
▲
by
ramoz
4y ago
Photoshop has a beta feature for generating backgrounds using their "neural filters" a few in the community are diving deep on game assets: https://twitter.com/emmanuel_2m
736.
▲
by
ramoz
4y ago
My hometown is there. So are my friends from college. Facebook forces nothing on me, it’s a simple place to stay connected.
737.
▲
by
ramoz
4y ago
So IF lost just as much weight as normal dieting. Are you unable to comprehend it that way?
738.
▲
by
ramoz
4y ago
Ignore the bro science. Keep your cream, though you should probably drop the sugar. I limit my coffee creamers to about 25-100 calories depending on number of cups pre-meal. I’m in better shape than most hardcore IF practitioners. CICO.
739.
▲
by
ramoz
4y ago
No. I do IF and lift heavy+cardio every early morning. I have progressively gotten stronger - benching over 330 and squatting well into the 400s. Ive spent a lot of heartache and headache over research around these type of questions. The be
740.
▲
by
ramoz
4y ago
I like Teams. Works fine on my Mac.
741.
▲
by
ramoz
4y ago
https://github.com/google-research/google-research/tree/mast... We use ScaNN for a large scale/performant neural search. Otherwise this all feels bloated.
742.
▲
by
ramoz
4y ago
We did a similar analysis for GCP. Preemptibles/spot were the way to go with inference. CPU performance was also faster for our scaled inference workloads. Times change though, we’re about to conduct the same analysis over again, with
743.
▲
by
ramoz
4y ago
Twitter is hounding a young actress right now because she posted pictures of her conservative family. Tiktok creators are giving Twitter creators shit for it.
744.
▲
by
ramoz
4y ago
nahhh, none of the gross stuff. More like fit people eating 50K calories a day - all delicious food.
745.
▲
by
ramoz
4y ago
I get that you worked with them it seems, but would argue that your hunch is wrong here. Regulatory processes, business systems, and international integration are plagued by PDF OCR complexities. OCR creates systemic issues and an anatomy o
746.
▲
by
ramoz
4y ago
Weird/random antidote - back in my late 20's I was going through fairly extreme dieting/working out (no carbs, calorie cutting, hours in gym, 6-pack abs yada yada) and everyday I would do a 45min incline walk (I did this for
747.
▲
by
ramoz
4y ago
Right? I feel like novel development of these models looks more like the GPT 10-20M numbers.
748.
▲
by
ramoz
4y ago
> Simultaneous fetches of thousands (sometimes tens of thousands) of objects started becoming inefficient, especially when fetching from collections of tens of millions of objects Why not try leveldb. We're doing random reads of 170
749.
▲
by
ramoz
4y ago
This would depend on your requirements and type of inference. Say you need to compute inference across 1000's of content/documents/images every second or so, out of some corpus of millions-billions, then having a kv store on
750.
▲
by
ramoz
4y ago
Should see a rise in embedded KV popularity in correlation with ML applications. Storing embeddings in something like leveldb in formats such as flatbuffer offer high-performance solutions for online prediction (i.e. for mapping business va
More ›