dartos

31 ms·

541.
by dartos 2y ago
> Why would they count an ai model as a monthly active user? To inflate their numbers and justify higher stock prices. So money, of course.
542.
by dartos 2y ago
Or you can deploy on app engine, lambda, firebase, etc. Kubernetes is not the only game in town. Sometimes shipping asap is more important. As with just about anything in tech, it’s about tradeoffs. I may be biased, since I worked in devops
543.
by dartos 2y ago
It’s not necessarily that it’s hard, but to be effective with kubernetes you need to understand a lot of infrastructure concepts like DNS, load balancing strategies, docker, storage drivers, service discovery, what exactly a pod is, what ex
544.
by dartos 2y ago
Unstructured Sensory input driven by these large neural networks, if I had to guess. To be able to visually determine weight, texture, and how durable something is can be done with those systems so long as we have a training set.
545.
by dartos 2y ago
Why sell to consumers when you can sell to large corporations at 10x the price?
546.
by dartos 2y ago
Then that tooling is required, like visual studio is a common one I know about in windows land. Though nobody should care if I edited my text files with neovim as long as I still used the same toolchain as everyone else.
547.
by dartos 2y ago
Only 3 predictions?
548.
by dartos 2y ago
I mean people in the software field absolutely push for LLMs to write code… Obviously people not in the software field wouldn’t care…
549.
by dartos 2y ago
Thank you! I’ll read through these and try again in the new year.
550.
by dartos 2y ago
Or… yknow… I could just write the code… Instead of going through a multi step process to get an LLM to generate it, review it, reject it, and repeat… I wonder why you reply to these comments, but not my other asking what you use LLMs for an
551.
by dartos 2y ago
> Code is the best possible application of LLMs because you can TEST the output. This is an overly simplistic view of software development. Poorly made abstractions and functions will have knock on effects on future code that can be hard
552.
by dartos 2y ago
> Don't use LLMs where accuracy is paramount. Then why do people keep pushing it for code related tasks? Accuracy and precision is paramount with code. It needs to express exactly what needs to be done and how.
553.
by dartos 2y ago
Right, but using git is a team wide thing. I can’t use perforce while my company is on git. But if I do or do not use an LLM to assist me while coding, my team is unaffected. If someone liked jetbrains, but your team used neovim, would you
554.
by dartos 2y ago
I have no love for openai, but they did make the fastest growing product of all time. There’s value in being the ones to do that. I do agree it’s a very very thin line.
555.
by dartos 2y ago
I feel bad for your team. Let people work how they want. I wouldn’t not hire someone on the basis of them not using a language server. The creator of the Odin language famously doesn’t use one. He’s says that he, specifically, is faster wit
556.
by dartos 2y ago
What kinds of things do you with these LLMs? I feel like I’m good at understanding context. I’ve been working in AI startups over the last 2 years. Currently at an AI search startup. Managing context for info retrieval is the name of the ga
557.
by dartos 2y ago
> There’s a flipside to this too: a lot of better informed people have sworn off LLMs entirely because they can’t see how anyone could benefit from a tool with so many flaws. The key skill in getting the most out of LLMs is learning to w
558.
by dartos 2y ago
If effect, kind of. The money being invested does not go directly to investors. It goes to the cost of R&D, which in turn increases the value of openai shares, then the early investors can sell those shares to realize those gains. The d
559.
by dartos 2y ago
Saying A is true doesn’t imply that the inverse of A is not true…
560.
by dartos 2y ago
You’re not reading my comments…
561.
by dartos 2y ago
Not to mention that that CEO was in health insurance. A very emotionally charged industry where someone’s life or death is directly affected by CEO decisions.
562.
by dartos 2y ago
This hit the nail on the head. Racial stat bonuses were never a thing anyone cared about. It’s the easiest thing in the world to change if a DM’s setting called for really smart orcs, or strong lumbering elves. Spending so much time thinkin
563.
by dartos 2y ago
Well most developers do it for money. The fastest way to money is to not dig too deep
564.
by dartos 2y ago
That’s a slippery slope that I don’t think holds up. When designing the schema, you keep performance and security in mind. You need to do the same for REST APIs. Just because some nodes don’t have edges that connect to some other nodes does
565.
by dartos 2y ago
Well they did. Then Google did. Then llava. The issue is that this technology has no most (other than the cost to create models and datasets) There’s not a lot of secret sauce you can use that someone else can’t trivially replicate, given t
566.
by dartos 2y ago
There are lots of ways to go about RAG, many do not require graphs at all. I recommend looking at some simple spark queries to get an idea of what’s happening. What I’ve seen is using LLMs to identify what possible relationships some inform
567.
by dartos 2y ago
I worked at a small company experimenting with RAG. We used neo4j as the graph database and used the LLM to generate parts of the spark queries.
568.
by dartos 2y ago
Well the rate of new LLMs keep coming out, but since they’re all trying to model language, they should all be fairly interchangeable and potentially will converge. It’s not hard for a product to swap the underlying LLM for a given task.
569.
by dartos 2y ago
IMO there is only a B2B market for this kind of thing. I’ve heard of a few very large companies using glean ( https://www.glean.com/ ) This is the route I’d take if I wanted to make a business around rag.
570.
by dartos 2y ago
Many cloud native companies have realized they his and are actually moving off of public clouds. It’s slow and painful, but the expense is driving some customers away.

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