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latchkey

17,108 カルマ登録 17 年前
Open source browser extension to enhance hackernews UX...

https://oj-hn.com

投稿

Performance per dollar is getting faster and cheaper

wafer.ai
358 ポイント·投稿者 latchkey·7 日前·136 コメント

Realta Fusion generates electricity directly from a fusion reaction

techcrunch.com
5 ポイント·投稿者 latchkey·10 日前·0 コメント

A Fast Attention Kernel for MI300X, Written in Hip, Not Assembly

moonmath.ai
3 ポイント·投稿者 latchkey·20 日前·0 コメント

Ask HN: Phishing from 646-257-4500

8 ポイント·投稿者 latchkey·28 日前·2 コメント

DN42 is a large dynamic VPN

wiki.dn42.us
1 ポイント·投稿者 latchkey·28 日前·0 コメント

Distributed Counters in NATS JetStream

synadia.com
1 ポイント·投稿者 latchkey·2 か月前·0 コメント

Apple confirms iOS 26.5 Messages app adds RCS end-to-end encryption

9to5mac.com
45 ポイント·投稿者 latchkey·2 か月前·5 コメント

AMD used AI to reimplement slurm in Rust

github.com
2 ポイント·投稿者 latchkey·2 か月前·0 コメント

Inside Job – Supermicro

thewirechina.com
2 ポイント·投稿者 latchkey·3 か月前·0 コメント

Slowburn: Looking Through AMD Platform Configuration Blobs Infrastructure

swarm.ptsecurity.com
1 ポイント·投稿者 latchkey·3 か月前·0 コメント

Thaw Release 1.2.0

github.com
4 ポイント·投稿者 latchkey·3 か月前·0 コメント

Mount GitHub repositories as a virtual read-only macOS filesystem

github.com
2 ポイント·投稿者 latchkey·3 か月前·0 コメント

Show HN: Orange Juice – Small UX improvements that make HN easier to read

oj-hn.com
147 ポイント·投稿者 latchkey·3 か月前·158 コメント

Cosmos-Predict2.5-2B Inference

moonmath.ai
2 ポイント·投稿者 latchkey·3 か月前·0 コメント

The highest-scoring AI memory system ever benchmarked

github.com
21 ポイント·投稿者 latchkey·3 か月前·3 コメント

AI Trainer Mercor Offers to Pay People for Prior Work–Work Employers Might Own

wsj.com
4 ポイント·投稿者 latchkey·3 か月前·1 コメント

It's Time to Take Down Your Smart Cameras [video]

youtube.com
7 ポイント·投稿者 latchkey·3 か月前·1 コメント

AI for American-produced cement and concrete

engineering.fb.com
224 ポイント·投稿者 latchkey·3 か月前·118 コメント

Which

shud.in
2 ポイント·投稿者 latchkey·3 か月前·0 コメント

She uncovered a terrifying lab hidden in California, with alleged ties to China

latimes.com
20 ポイント·投稿者 latchkey·4 か月前·1 コメント

コメント

latchkey
·7 時間前·議論
Much later, I got to deploy 20,000 PS5 chips to mine ethereum. When PoS happened, we shut it all down. Now those boards (BC-250) are being sold on ebay for $200 and people are running AI on them.
latchkey
·一昨日·議論
phishing
latchkey
·一昨日·議論
Don't forget Digital Ocean Droplets.
latchkey
·5 日前·議論
there will always be a special place in my heart for a/ux. i ported a lot of open source software to it. ran a bbs, cu-seeme server, gopherd, httpd, and many other early internet services on it. this really gave me an early taste for what the internet would become.
latchkey
·7 日前·議論
> I have never seen a company use AMD outside of wafer and a couple others mostly in US.

Just because you haven't seen it doesn't mean it doesn't exist.

We've serviced over 700 customers on our MI300x.
latchkey
·10 日前·議論
We need an email address so that we can contact people if there is a problem.

So far, I'm having trouble figuring out how to get that out of x402.
latchkey
·10 日前·議論
I bought a cheapo tuya wifi fan controller for a "dumb" ceiling fan. Connect to it from SmartThings app on my phone. The app can be paired with siri and now I can just say: "living room fan on/off". Works great.
latchkey
·13 日前·議論
What I want is a router that can also provision compute on demand and shut it down when it is done.
latchkey
·18 日前·議論
As someone born and raised in san diego since the 70s, this is really nice!
latchkey
·23 日前·議論
Your CW analogy is wonky since that isn't how it went down. You know my name (I don't know yours. edit: Michael), so you should know a bit more about my history in the space too, right? I can explain it out, but afraid of either being called names, or just not being worth it to you (or me for that matter).

EC2 has preemptable and reserved pricing. It is possible to build autosizing solutions, this is what Google did with AppEngine and later GCP Functions/Cloud Run. Just like optimizing start times, it is also possible to optimize those idle resources. For me, I'd go with the idle resources as the lower hanging fruit over trying to shave ms off making things available on-demand, since it affects the customer experience first.
latchkey
·23 日前·議論
Sure, you're right. I edited to remove that bit. Thanks for calling me out. I was getting frustrated for having felt like I was extremely clear in what I wrote and the person kept repeating something that I had clarified.

> At any rate, warm pools aren't cost free. If you overestimate demand, you'll waste too much money on idle resources.

Depends on how you're running your business. If it is your hardware, it isn't much of an expense at the benefit for having a product that makes your customers happy.
latchkey
·23 日前·議論
if people want custom features, then of course there is a cost to that. but if the majority of your customers are running on defaults, then there is a benefit. yes, it creates other issues, such as pool management, and if you do that wrong and you can't predict capacity well enough, then people get your "slow" path. but, overall, my experience is that the warm pools are extremely well regarded and not something that most people think of.
latchkey
·23 日前·議論
I never suggested reuse.
latchkey
·23 日前·議論
I never suggested reuse.
latchkey
·23 日前·議論
Just hot stage a bunch of VMs and then there is no startup time. Every time someone finishes, just start another one and leave it running waiting for the next customer.
latchkey
·28 日前·議論
He might not have had that choice. Investors can put money into a bank account, and just as easily take it out. This is what happened in the 2000 dotbomb.
latchkey
·29 日前·議論
If you're a business, it is a great way to get customers.
latchkey
·29 日前·議論
Agreed. For better or worse, social networks are the fb marketplace of eyes.
latchkey
·29 日前·議論
This is also why creating a regular account is so difficult on all the social networks. You sign up and it is instantly banned and you have to go through a whole review and approval process just to use it. Incredibly user and company hostile.
latchkey
·先月·議論
Ok, sure. Valid. Have you asked them to support V4?

https://docs.modular.com/max/models/

I agree with you though, serving up inference is secret sauce for a lot of teams and not everyone publishes how to do it because of the costs involved in doing so. They need an ROI.