Hacker Newsnew | past | comments | ask | show | jobs | submit | makeavish's commentslogin

Tried Antigravity for 2 queries and my model quota limit breached. Model definitely felt better than GPT 5.1 (my current daily driver). I am continuing to use Gemini 3 Pro on Cursor to evaluate further.


NPM also seems to be down due to this! https://status.npmjs.org


It’s a full fledged tool like DataDog which is opensource and can be selfhosted. You can replace honeycomb with it. What features do you think it’s missing compared to honeycomb?


Discovered this while I was researching about why some LLM models perform significantly worse at times. I have experienced this more with Claude.


This is my project:) Glad that you liked it.


“We’re relying a lot on Alibaba’s Qwen model. It’s very good. It’s also fast and cheap,” he said.


It’s possible with this extension: https://chromewebstore.google.com/detail/unhook-remove-youtu...

I use it on firefox


Good explanation on why breakthrough AI didn’t lead to immediate general productivity gains.


SigNoz | DevOps Engineer - Support | Remote (India) | Full-time

We're an open-source observability platform (YC-backed, 23K+ GitHub stars) looking for our DevOps Engineer focused on customer engineering.

You'll debug complex OpenTelemetry instrumentation issues with platform teams, optimize ClickHouse queries at petabyte scale, troubleshoot K8s deployments, and build customer engineering infrastructure from scratch. This is technical consulting + DevOps, not traditional support. Our users are other engineers implementing observability at scale. You'll be helping them solve the same distributed systems problems you've probably faced. Stack: OpenTelemetry, ClickHouse, Kubernetes, Docker, Golang

Looking for: 2+ years DevOps/Platform/SRE experience, strong K8s and observability background, can debug Go/Python/JavaScript, leadership potential

Apply: https://jobs.ashbyhq.com/SigNoz/c479d148-691d-4dc2-9201-bbeb...


Yeah, reading the headline got me excited too. I thought they are going to propose some novel solution or use the recent research by OpenAI on reward function optimization.


It's rather cheeky to call it "real-time AI hallucination detection" when all they're doing is checking for invalid moves and playing twice. You don't even need real-time processing for this, do you?


the chess is just a simple example, realtime processing is critical is many AI monitoring use cases


Only SAML, Multiple ingestion keys and Premium Support is under paywall. SSO is not under paywall. Check pricing page for detailed comparison: https://signoz.io/pricing/


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: