ozgune

8 ms·

1.
by ozgune 3mo ago
(Ozgun from Ubicloud) I agree with the blog post's technical contents, but I feel we came across too strong in the title. For Ubicloud as a managed Postgres provider, we use strict memory overcommit. Our experience with operating Postg
2.
by ozgune 3mo ago
The new prices are here: https://docs.hetzner.com/general/infrastructure-and-availabi... (However, Hetzner did an earlier price increase 38 days ago. HN's submission logic sends posting the url to the previous dis
3.
by ozgune 5mo ago
Ack. I took the benchmark results that AI Labs themselves published for their models. So the Opus 4.6 baseline would be from the time that Anthropic released the model.
4.
by ozgune 5mo ago
I reviewed how DeepSeek V4-Pro, Kimi 2.6, Opus 4.6, and Opus 4.7 across the same AI benchmarks. All results are for Max editions, except for Kimi. Summary: Opus 4.6 forms the baseline all three are trying to beat. DeepSeek V4-Pro roughly ma
5.
by ozgune 5mo ago
This update makes Kimi K2.6 the strongest open multimodal AI model. (No affiliation with Kimi.) Here's the aggregated AI benchmark comparison for K2.6 vs Opus 4.6 (max effort). - Agentic: Kimi wins 5. Opus wins 5. - Coding: Kimi wins 5
6.
Snowflake AI Escapes Sandbox and Executes Malware(promptarmor.com)
269 points by ozgune 6mo ago|82 comments
7.
by ozgune 7mo ago
This has been one of my favorite blog posts on building products at startups. It came up again in a discussion today, so I wanted to resubmit it. I also found the HN discussion at the time informative: https://news.ycombinator.co
8.
How to build great products (2013)(defmacro.org)
1 points by ozgune 7mo ago|1 comments
9.
by ozgune 7mo ago
I'll save everyone a web search. This is satire and there isn't any such German federal court ruling. It also speaks to the world that we live in these days - I'm having a hard time separating satire from reality.
10.
Ubicloud (YC W24): Software Engineer – $95-$250K in Turkey, Netherlands, CA(ycombinator.com)
1 points by ozgune 7mo ago
11.
by ozgune 7mo ago
I used Hetzner's pricing calculator. https://www.hetzner.com/dedicated-rootserver/ax162-r/configu... Before today, we used to be able to order an AX162-R for €207 and add 128 GB of RAM for €46. Starting today
12.
by ozgune 7mo ago
These changes are effective April 1st for existing and new customers. The price increase ratios are also different across product lines. * Cloud (VMs): 38% * Bare metal: 15% * Memory add-on for bare metal: 575% (effective immediately) It fe
13.
by ozgune 8mo ago
I feel this analysis is unfair to PostgreSQL. PG is highly extensible, allowing you to extend write-ahead logs, transaction subsystem, foreign data wrappers (FDW), indexes, types, replication, others. I understand that MySQL follows a speci
14.
by ozgune 9mo ago
Also, do you know if their benchmarks are available? In their website, the benchmarks say “Multilingual (Chinese), Multilingual (East-asian), Multilingual (Eastern europe), Multilingual (English), Multilingual (Western europe), Forms, Handw
15.
GitHub walks back plan to charge for self-hosted runners(theregister.com)
9 points by ozgune 9mo ago|3 comments
16.
GLM-4.6V: Open-Source Multimodal Models with Native Tool Use(z.ai)
4 points by ozgune 9mo ago|0 comments
17.
by ozgune 11mo ago
This is huge! When people ask me what’s missing in the Postgres market, I used to tell them “open source Snowflake.” Crunchy’s Postgres extension is by far the most ahead solution in the market. Huge congrats to Snowflake and the Crunchy te
18.
by ozgune 11mo ago
If the benchmark doesn’t use AIO, why the performance difference between PG 17 and 18 in the blog post (sync, worker, and io_uring)? Is it because remote storage in the cloud always introduces some variance & the benchmark just picks th
19.
by ozgune 11mo ago
OmniAI has a benchmark that companies LLMs to cloud OCR services. https://getomni.ai/blog/ocr-benchmark (Feb 2025) Please note that LLMs progressed at a rapid pace since Feb. We see much better results with the Qwen3-V
20.
Bride surprises new husband with an RTX 5090 on wedding day(tomshardware.com)
5 points by ozgune 11mo ago|1 comments
21.
RubyDramas – Your guide to the last Ruby drama(rubydramas.com)
6 points by ozgune 1y ago|0 comments
22.
by ozgune 1y ago
(Disclaimer: Ozgun from Ubicloud) I agree with you. I feel the challenge is that using AI coding tools is still an art, and not a science. That's why we see many qualitative studies that sometimes conflict with each other. In this case
23.
by ozgune 1y ago
The SGLang Team has a follow-up blog post that talks about DeepSeek inference performance on GB200 NVL72: https://lmsys.org/blog/2025-06-16-gb200-part-1/ Just in case you have $3-4M lying around somewhere for some
24.
by ozgune 1y ago
I agree that you could get to high margins, but I think the modeling holds only if you're an AI lab operating at scale with a setup tuned for your model(s). I think the most open study on this one is from the DeepSeek team: https:&#x2
25.
by ozgune 1y ago
Previously discussed here: https://news.ycombinator.com/item?id=44941118 It's also disappointing that MIT requires you to fill out a form (and wait for) access to the report. I read four separate stories based on the r
26.
by ozgune 1y ago
This is a very impressive general purpose LLM (GPT 4o, DeepSeek-V3 family). It’s also open source. I think it hasn’t received much attention because the frontier shifted to reasoning and multi-modal AI models. In accuracy benchmarks, all th
27.
The Open Source Release of the Ernie 4.5 Model Family(yiyan.baidu.com)
4 points by ozgune 1y ago|0 comments
28.
by ozgune 1y ago
I think that's unlikely. DeepSeek-R1 0528 performs almost as well as o3 in AI quality benchmarks. So, either OpenAI didn't restrict access, DeepSeek wasn't using OpenAI's output, or using OpenAI's output doesn'
29.
by ozgune 1y ago
This was on HN's front page yesterday. Here's the discussion: https://news.ycombinator.com/item?id=44286277
30.
by ozgune 1y ago
Their benchmarks are interesting. They are comparing to DeepSeek-V3's (non-reasoning) December and DeepSeek-R1's January releases. I feel that comparing to DeepSeek-R1-0528 would be more fair. For example, R1 scores 79.8 on AIME 2

More ›