Feed aggregator

Article URL: https://www.nytimes.com/2026/05/21/books/audiobook-piracy-youtube.html

Comments URL: https://news.ycombinator.com/item?id=48244976

Points: 1

# Comments: 0

Article URL: https://www.politico.com/news/2026/05/22/meta-judge-trial-public-nuisance-facebook-00934485

Comments URL: https://news.ycombinator.com/item?id=48244972

Points: 1

# Comments: 0

Article URL: https://www.ft.com/content/99c1c1e7-1a1c-479c-9fc8-e21aea5c3f0e

Comments URL: https://news.ycombinator.com/item?id=48244962

Points: 4

# Comments: 0

Article URL: https://www.latimes.com/business/story/2026-05-22/waymo-suspends-all-freeway-rides-over-safety

Comments URL: https://news.ycombinator.com/item?id=48244960

Points: 2

# Comments: 0

Article URL: https://qz.com/starbucks-scraps-ai-inventory-tool-nomadgo-052226

Comments URL: https://news.ycombinator.com/item?id=48244956

Points: 2

# Comments: 0

Article URL: https://www.wsj.com/business/logistics/in-india-you-can-get-milk-delivered-faster-than-it-takes-to-make-coffee-aa211a54

Comments URL: https://news.ycombinator.com/item?id=48244951

Points: 2

# Comments: 0

Article URL: https://www.theverge.com/policy/936175/google-search-monopoly-ruling-appeal

Comments URL: https://news.ycombinator.com/item?id=48244949

Points: 2

# Comments: 0

Article URL: https://www.wsj.com/cio-journal/this-cannes-film-cost-500-000-to-make-400-000-was-ai-compute-costs-a823b08d

Comments URL: https://news.ycombinator.com/item?id=48244942

Points: 4

# Comments: 0

Article URL: https://skorks.com/2010/05/how-to-be-a-real-elite-programmer-and-make-sure-everybody-knows-it/

Comments URL: https://news.ycombinator.com/item?id=48244922

Points: 2

# Comments: 0

Article URL: https://daringfireball.net/2026/05/the_fonts_of_the_us_federal_courts

Comments URL: https://news.ycombinator.com/item?id=48244911

Points: 1

# Comments: 0

Article URL: https://www.microsoft.com/en-us/security/blog/2026/05/12/defense-at-ai-speed-microsofts-new-multi-model-agentic-security-system-tops-leading-industry-benchmark/

Comments URL: https://news.ycombinator.com/item?id=48244882

Points: 2

# Comments: 0

Article URL: https://unsung.aresluna.org/lisas-copy-and-cut-and-paste/

Comments URL: https://news.ycombinator.com/item?id=48244856

Points: 1

# Comments: 0

About my experience(10 yoe):

- Tech stack: C, C++, python, OpenCL, GPU and DSP programming. Along with that some performance engineering and docker topics.

Problem:

- not feeling confident enough in my skillset. I feel that I have breadth of topics but deep expertise is missing.

- I am with the same company for 8 years but switched teams after 4 years. Topics are random based on the customer project as there is no real sw product. I believe this hinders in becoming expert.

- Finding new job is becoming harder day-by-day.

Looking for advice/recommendations:

- How can I turn the situation?

- Has anyone here has faced similar situation and come out of it? What did you do?

Comments URL: https://news.ycombinator.com/item?id=48244739

Points: 1

# Comments: 0

Yep, controversial title. Engagement farming, j/k. I'm serious. It's a real thing. Agents are a market. They're a customer. They have wants and needs. If you address those, and agents find it easy and efficient to use your tools, that's the new "grassroots developer adoption".

Jeopardy: what’s something that you truly believe that most people disagree with?

Comments URL: https://news.ycombinator.com/item?id=48244732

Points: 1

# Comments: 0

Article URL: https://www.aikido.dev/blog/supply-chain-attack-targets-laravel-lang-packages-with-credential-stealer

Comments URL: https://news.ycombinator.com/item?id=48244715

Points: 1

# Comments: 1

Article URL: https://vercel.com/blog/introducing-deepsec-find-and-fix-vulnerabilities-in-your-code-base

Comments URL: https://news.ycombinator.com/item?id=48244688

Points: 1

# Comments: 0

Article URL: https://github.com/perplexityai/bumblebee

Comments URL: https://news.ycombinator.com/item?id=48244670

Points: 1

# Comments: 0

As an Enterprise Architect I work with Capabilities, Use Cases and Value Maps amongst other things. Hugging Face is a great resource for tracking down AI models but is mostly technical and quite detailed. I built ThinkLLM because I thought that as more and more people are going to be using LLMs it would be easier to find AI models by capabilities and use cases than simply browsing long lists of models.

The website has nothing extraordinary or special. Is just a different view on existing data. It basically tries to connect AI models (mainly LLMs) with capabilities, use cases and other useful resources such as glossary terms, research papers and benchmarks. It has also the functionality of comparing up to three models.

The website was built with nextjs and Rust (backend). I used data from publicly available sources. Scoring and model descriptions are generated by using an LLM and reviewed by me prior to publication.

Any comment on how to make it better would help a lot

Thanks

Comments URL: https://news.ycombinator.com/item?id=48244665

Points: 1

# Comments: 0

Article URL: https://www.latent.space/p/ainews-all-model-labs-are-now-agent

Comments URL: https://news.ycombinator.com/item?id=48244659

Points: 1

# Comments: 0

Article URL: https://linkedin2md.daza.ar/

Comments URL: https://news.ycombinator.com/item?id=48244651

Points: 1

# Comments: 0