stolsvik

10 ms·

61.
by stolsvik 3y ago
I am truly finding it hard to explain it. I have tried along a dozen angles. I actually think it is a completely new concept - and that might be the problem. But there is actual value here, because it "merges" the amazingness of u
62.
by stolsvik 3y ago
If you use Kafka in an event sourced fashion, whereby each service emits events that it puts on a bunch of Kafka topics, and each service that needs that information consumes those events (by reading and applying those events to its local u
63.
by stolsvik 3y ago
I'm the developer of the Message-Oriented Async RPC library Mats3: https://mats3.io/ Its current sole implementation is based on Java Messaging Service JMS API, and it is used in production for a rather large UCITS uni
64.
by stolsvik 3y ago
I find it curious that lots of people always drag in Kafka as comparison to message brokers. Their own architecture (log of messages, vs. delivery of messages), but in particular the system architecture they lead to when used (event sourcin
65.
by stolsvik 3y ago
It is the asynchronous and decoupled nature of messaging that pulls architectures towards message brokers. In a "MOM Architecture", the producing of messages, and consuming of messages, is completely decoupled - both in "spac
66.
by stolsvik 3y ago
This is amazing. Really, truly incredible. How many other countries have this? It should be promoted - I want this in Norway! Has any of the code and infrastructure been open sourced?
67.
Why make Mats3? – an asynchronous message-based inter-service comms lib(mats3.io)
1 points by stolsvik 3y ago|0 comments
68.
by stolsvik 3y ago
ORMs help you the first three weeks. After that it is a lead ball around both feets, dragging you down into dark pits of bad performance, incomprehensible relations, and impossible debugging. That anyone with more than 6 months of experienc
69.
by stolsvik 3y ago
What do you do then? Live off the interests of some fortune?
70.
by stolsvik 3y ago
You may also just be more competent with 40 years experience?
71.
Aquila: Chinese/English OSS LLM with 7B, 33B Models (BAAI Beijing Academy of AI)(twitter.com)
3 points by stolsvik 3y ago|0 comments
72.
by stolsvik 3y ago
Use Gerrit! It is much better. But it requires that you host it yourself, AFAIK. It is pretty straightforward, and just sits there once you get it running.
73.
by stolsvik 3y ago
You should try it, which it sounds like you haven’t! :-)
74.
Mats3 with Spring on JBang: Messaging-Based Multi-Stage RPC Endpoints(mats3.io)
3 points by stolsvik 3y ago|0 comments
75.
by stolsvik 3y ago
”We’re releasing something useless and uninteresting, so that we can get more user feedback” Is it only me that sees a problem here?
76.
Mats3 SpringConfig via JBang: Multi-Stage Annotation-Defined Messaging Endpoints(mats3.io)
1 points by stolsvik 3y ago|0 comments
77.
JBang + Mats3: Explore Mats3 Message-Oriented Async RPC with JBang “Java Execs”(mats3.io)
4 points by stolsvik 3y ago|1 comments
78.
by stolsvik 3y ago
JBang’s tagline: “Lets Students, Educators and Professional Developers create, edit and run self-contained source-only Java programs with unprecedented ease.” Mats3’s tagline: “Message-Oriented Async RPC. Message-based Interservice Commu
79.
by stolsvik 3y ago
A query which the GPTs doesn’t know of, which this engine answers pretty good: «how do i use the mats3 library?» (I made the library. The documentation and website is fairly new, so ChatGPT has no clue) This is pretty good: “what is mats3”,
80.
by stolsvik 3y ago
Their solution does not preclude fanout. Fetching work items from such a work queue by multiple nodes/servers should be no problem. One solution that also would be good for monitoring would be to have a state column, and a "handle
81.
by stolsvik 3y ago
I will argue that what they want is a "work queue", not a message queue. I've written about a somewhat similar problem in context of the Mats3 library I've made: https://mats3.io/patterns/work-queues
82.
by stolsvik 4y ago
The bitcoin rig is specialised - it can only compute SHA hashes. You need more general compute.
83.
by stolsvik 4y ago
As I understand these models, that makes no sense whatsoever. Is it the tokenisation that takes this crazy amount of time? Because each additional token should take exactly the same amount of time as the first.
84.
by stolsvik 4y ago
Care to share what prompts you run this with? What is the output you desire, and how do you achieve this?
85.
Cerebras Systems Releases 7 New GPT Models Trained on CS-2 Wafer-Scale Systems(cerebras.net)
1 points by stolsvik 4y ago|0 comments
86.
by stolsvik 4y ago
Isn’t Bing made with GPT-4?
87.
by stolsvik 4y ago
Source?
88.
by stolsvik 4y ago
I was referring to the “ref counting is garbage collection”. You do however seem to know your ways around a GC, so it seems we’ll just have to disagree on the ref counting == GC part. (And yes, GC rocks, but seriously bloats the memory requ
89.
by stolsvik 4y ago
I am becoming more and more happy that I don’t live in that country. Everything seems insane. It has turned insane, it seems to totally have lost its way the latter decades.
90.
by stolsvik 4y ago
> .. telling the callee how long before the work doesn't matter anymore. That is interesting - this is actually a feature of JMS, which is employed in Mats: You can say that a Mats Flow is nonPersistent (i.e. "not all that impo

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