Feed aggregator

Article URL: https://daniel.haxx.se/blog/2026/03/12/chicken-nuget/

Comments URL: https://news.ycombinator.com/item?id=47361549

Points: 2

# Comments: 0

Article URL: https://arxiv.org/abs/2601.09527

Comments URL: https://news.ycombinator.com/item?id=47361528

Points: 1

# Comments: 0

We've been working on practical AI automation systems focused on measurable business impact.

Many companies implement AI but fail to connect it to real ROI.

This project focuses on CRM automation, AI sales assistants and intelligent workflows.

https://roihacking.ai

Comments URL: https://news.ycombinator.com/item?id=47361508

Points: 1

# Comments: 0

So, I was checking out this research paper that compares Nemotron-3-Super-120B, GPT-OSS-120B, and Qwen3.5-122B. They looked at how these models performed on different benchmarks like IFBench, SWE-Bench, Tau Bench, and RULER.

One thing that stood out was the trade-off between accuracy and inference throughput, especially with formats like NVFP4 vs BF16.

I'm really interested to know which benchmarks folks here actually rely on when they're checking out models for real-life tasks. What seems to work best for you?

Do you rely more on reasoning benchmarks, coding benchmarks, or long-context tests?

Comments URL: https://news.ycombinator.com/item?id=47361482

Points: 1

# Comments: 0

Article URL: https://old.reddit.com/r/LocalLLaMA/comments/1rrisqn/i_was_backend_lead_at_manus_after_building_agents/

Comments URL: https://news.ycombinator.com/item?id=47361447

Points: 4

# Comments: 0

Article URL: https://www.ctol.digital/news/atlassian-credibility-crisis-not-a-collapse/

Comments URL: https://news.ycombinator.com/item?id=47361430

Points: 1

# Comments: 0

I am trying to understand LLMs conceptually well enough to be able to predict their capabilities (and limitations) when it comes to generating code. Is that even a sensible goal? Are there good resources?

So far I've looked at:

1. Vibe Coding, by Steve Yegge and Gene Kim (https://www.amazon.in/Vibe-Coding-Building-Production-grade-Software/dp/1966280025). This has some practical examples and many guidelines. But there is not much theory and this does not explain LLMs conceptually AFAICT.

2. Build an LLM from Scratch, by Sebastian Raschka (https://www.manning.com/books/build-a-large-language-model-from-scratch). Seems in-depth. But I don't really want to build an LLM.

3. AI Engineering, by Chip Huyen (https://www.amazon.in/AI-Engineering-Building-Applications-Foundation/dp/1098166302). This seems promising, although it is not coding focussed.

Perhaps something like How Claude Code Works (https://code.claude.com/docs/en/how-claude-code-works) but fleshed out in more detail.

Thanks.

Comments URL: https://news.ycombinator.com/item?id=47361403

Points: 1

# Comments: 0

Article URL: https://www.npr.org/sections/thesalt/2016/08/06/488861223/cockroach-milk-yes-you-read-that-right

Comments URL: https://news.ycombinator.com/item?id=47361396

Points: 1

# Comments: 0

Article URL: https://oss.vstorm.co/blog/same-chat-app-4-frameworks/

Comments URL: https://news.ycombinator.com/item?id=47361387

Points: 1

# Comments: 1

Article URL: https://wvw.dev

Comments URL: https://news.ycombinator.com/item?id=47361380

Points: 2

# Comments: 0

Article URL: https://geofilterx.com/

Comments URL: https://news.ycombinator.com/item?id=47361373

Points: 1

# Comments: 0

Article URL: https://simonwillison.net/2026/Mar/13/liquid/

Comments URL: https://news.ycombinator.com/item?id=47361351

Points: 1

# Comments: 0

Article URL: https://github.com/amruth-sn/kong

Comments URL: https://news.ycombinator.com/item?id=47361337

Points: 1

# Comments: 0

Article URL: https://ourworldindata.org/data-insights/a-record-number-of-objects-went-into-space-in-2023

Comments URL: https://news.ycombinator.com/item?id=47361335

Points: 1

# Comments: 0

Article URL: https://nationaldex.io/

Comments URL: https://news.ycombinator.com/item?id=47361331

Points: 2

# Comments: 0

Article URL: https://www.orthodoxmasonry.com/waller

Comments URL: https://news.ycombinator.com/item?id=47361329

Points: 1

# Comments: 0

Article URL: https://github.com/ratwolfzero/Poly_Root

Comments URL: https://news.ycombinator.com/item?id=47361326

Points: 1

# Comments: 0

Article URL: https://piratebanana.com/

Comments URL: https://news.ycombinator.com/item?id=47361318

Points: 1

# Comments: 1

Article URL: https://www3.nhk.or.jp/nhkworld/en/shows/texico/

Comments URL: https://news.ycombinator.com/item?id=47361317

Points: 2

# Comments: 0

Article URL: https://ceno.app/en/index.html?

Comments URL: https://news.ycombinator.com/item?id=47361313

Points: 1

# Comments: 0