menaerus

15 ms·

271.
by menaerus 9mo ago
> This year there is more emphasis on bringing complete solutions to market. Previously they were funding much more experimentation. That's the step in the right direction however there's what I believe is a major issue with th
272.
by menaerus 9mo ago
It's definitely not a hype.
273.
by menaerus 9mo ago
Public grants are nice but they have couple of shortcomings and which is why they can get you only that far. They are normally low in capital, the execution is really slow (couple of months to one year), and larger grants too involve politi
274.
by menaerus 9mo ago
WDYM? Website is a frontend, server handling is a backend. How is that not a fullstack?
275.
by menaerus 9mo ago
In that regard I fully agree. My view was merely from a technical perspective.
276.
by menaerus 9mo ago
The point was not in simplicity but rather in if AI is replacing some people's jobs. I say that it certainly is, as given by the example, but I also acknowledge that the technology is still not at the point where human engineers are no
277.
by menaerus 9mo ago
The whole article a bit watery which is why I read it as a PR rather than technical presentation
278.
by menaerus 9mo ago
I built a moderately complex and very good looking website in ~2 hours with the coding agent. Next step would be to write a backend+storage, and given how well the agent performs in these type of tasks, I assume I will be able to do that in
279.
by menaerus 9mo ago
They are optimizing their organization for throughput by cutting off the fat so they do expect to grow, it's just that they want to be ready for it, and having a loath of managers doesn't help with it. I figure this move must have
280.
by menaerus 9mo ago
WhatsApp was not developed by Meta. They just bought it. That said, I don't think Meta/FB is a net-negative, far from it. They contributed back to the community with high quality infra-level software.
281.
by menaerus 9mo ago
Loose work? No, quality of work being done does not correlate with reviews in almost any way, unless you're a lousy engineer doing lost work anyways. High quality reviews are exceptionally rare.
282.
by menaerus 9mo ago
I was thinking about the same paragraph because write-amplification is exactly the problem solved by LSM trees _and_ they already have a solution for that in-house - one of the first acquisitions that OpenAI made is Rockset - a company that
283.
by menaerus 9mo ago
Why do you need an X account for it? Seems like a ridiculous requirement
284.
by menaerus 9mo ago
The comment was not wrong though so I am not sure I understand if flagging it for the sole "it was most likely written by the use of AI" reason is completely valid.
285.
by menaerus 9mo ago
> It's not something you can do if you have a full-time job > I find it unreasonable to ask a candidate to spend that much time And same for some reason does not apply to leetcode style interviews? > It would take something li
286.
by menaerus 9mo ago
It goes to show how future of SE will look like. Loose reviews (a big win for the industry) with each person capable of doing 10x more work, and basically orchestrating/overlooking the work done by the agents. The bottleneck eventually
287.
by menaerus 9mo ago
This is fantastic, maybe the future/present is in developing more wearables and personalized health AI assistants. Makes me wanna extract my smartwatch data too
288.
by menaerus 9mo ago
In a fast-paced domain such as this one, and especially wrt the (global) competitiveness, development/leadership process is most likely chaotic and "best" practices that we would normally find in other lower-paced companies c
289.
by menaerus 9mo ago
I also noticed that and I also noticed that it starts to struggle when the workspace "tab" you're working in gets longer - it basically gets stuck at "Starting agent ...". I initially thought it must be a very big c
290.
by menaerus 9mo ago
I agree it's about the ego .. about the other part I am also trying to project few scenarios in my head. Wild guess nr.1: large majority of software jobs will be complemented (mostly replaced) with the AI agents, reducing the need for
291.
by menaerus 9mo ago
Economics 101, right? Since developing software, writing the technical documentation, and exercising QA became all of the sudden 1000x cheaper than it was a year ago, how come we don't see the substantial increase in demand of software
292.
by menaerus 9mo ago
So, more people will start drinking coffee all together or same amount of people will be redistributed across Starbucks and my new fancy espresso bar?
293.
by menaerus 9mo ago
Demand is the driver not only the cost.
294.
by menaerus 9mo ago
You can compute the confidence intervals all you want but if you can't be sure, in one or another way, that what you're observing (measuring) in your experiment is what you actually wanted to measure (signal), not even confidence
295.
by menaerus 9mo ago
Some countries also employ progressive electricity pricing such that higher energy consumption leads to elevated kWh rates incentivizing conservation. This is also not visible in the stats above. I also think that business kWh rates are act
296.
by menaerus 9mo ago
How did you arrive to $10,000 electricity costs figure? 8xH200 enclosed in DGX H200 system power draw is ~14kW in its peak (CTS) configuration/utilization. Over one year, and assuming maximum utilization, this is 123,480 kWh per single
297.
by menaerus 9mo ago
It's not about the python at all. Optimization techniques are on a completely different level, on the level of the chip and/or hw platform and finding ways to utilize them in a max manner by exploiting the intrinsic details about
298.
by menaerus 9mo ago
Do you use agentic AI yet for this type of optimization work or no?
299.
by menaerus 9mo ago
Focus? You asked me for an evidence. I provided you with the one. And with the one which has a big weight on it. If that's the focus you're looking for then sure. Take it as you will, I am not here to convince anyone in anything.
300.
by menaerus 9mo ago
Well the thing is that the trajectory of people utilizing the models is only increasing so getting the most out of your HW becomes a particularly interesting optimization point for companies doing the inference at massive scale.

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