Hacker News

Article URL: https://www.businessinsider.com/remote-wfh-jobs-application-odds-tech-market-rto-2023-9

Comments URL: https://news.ycombinator.com/item?id=40082489

Points: 1

# Comments: 1

Article URL: https://reason.com/2024/04/18/could-virtual-cashiers-be-the-future-of-the-restaurant-industry/

Comments URL: https://news.ycombinator.com/item?id=40082471

Points: 1

# Comments: 0

Article URL: https://apideveloperweekly.com/

Comments URL: https://news.ycombinator.com/item?id=40082442

Points: 1

# Comments: 0

I'm sick of looking at applications for another AI startup, hedge funds, HR platforms, defense contractors, "reinventing healthcare," etc.

Are there SWE or SWE-adjacent roles that make you feel like you're doing something good for the world? Like you're helping and not just slaving away to line a billionaire's pockets, mint a new one, or reinforce the enshitification of the world?

Comments URL: https://news.ycombinator.com/item?id=40082436

Points: 3

# Comments: 4

I have tried each of X’s signup methods on mobile and desktop and none of them worked. Has anyone else had this problem?

Comments URL: https://news.ycombinator.com/item?id=40082430

Points: 1

# Comments: 0

Article URL: https://kk.org/thetechnium/101-additional-advices/

Comments URL: https://news.ycombinator.com/item?id=40082422

Points: 1

# Comments: 0

This is what I'm thinking of building:

1. Screenshot captured each minute 2. OCR extracts text 3. LLM converts text to a summary of what you were working on at that exact moment 4. LLM Summarizes the summation of the summaries into a daily update 5. Slack integration so you can decide to share the update or not on Slack

Tech stack: MacOS & Apple Silicon Privacy: Screenshots stay on device, OCR text is sent to OpenAI model for summarization Workflow: Install the app, approve Slack integration, set time for daily update, and wait to get your daily summary (as a DM in Slack), you can edit / approve the message

Open to any / all feedback. Thanks! :)

Comments URL: https://news.ycombinator.com/item?id=40082419

Points: 1

# Comments: 1

Article URL: https://gajus.com/blog/setting-up-postgre-sql-for-running-integration-tests

Comments URL: https://news.ycombinator.com/item?id=40082409

Points: 2

# Comments: 0

Article URL: https://twitter.com/troutgirl/status/1780625040729616483

Comments URL: https://news.ycombinator.com/item?id=40082387

Points: 7

# Comments: 2

Article URL: https://austinschlessinger.substack.com/p/passed-cissp-1st-attempt-with-10

Comments URL: https://news.ycombinator.com/item?id=40082381

Points: 3

# Comments: 0

Article URL: https://www.thedrive.com/news/nissan-thinks-it-can-beat-toyota-to-solid-state-batteries

Comments URL: https://news.ycombinator.com/item?id=40082377

Points: 2

# Comments: 0

Article URL: https://medium.com/inthepipeline/so-you-think-youve-got-dbt-test-bloat-37491fb330d5

Comments URL: https://news.ycombinator.com/item?id=40082190

Points: 1

# Comments: 1

Article URL: https://apnews.com/article/brazil-twitter-elon-musk-x-censorship-f51dc67d51c8f5a1cf152ba467f44a8f

Comments URL: https://news.ycombinator.com/item?id=40082188

Points: 1

# Comments: 0

Article URL: https://brson.github.io/2017/04/05/minimally-nice-maintainer

Comments URL: https://news.ycombinator.com/item?id=40082173

Points: 1

# Comments: 0

Article URL: https://ai.nejm.org/doi/full/10.1056/AIdbp2300192

Comments URL: https://news.ycombinator.com/item?id=40082138

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2024/04/18/darpa_f16_flight/

Comments URL: https://news.ycombinator.com/item?id=40082127

Points: 2

# Comments: 0

Hi folks,

I am working on an AI newsfeed app. It uses LLM to summarize and filter stories on any website or RSS. When exporting this custom AI feed to custom RSS (so that users on RSS readers can subscribe them), I am wondering which RSS field should I use for AI summary, the summary prompt or AI filter. Namely:

1. AI summary per top feed links (AI will summarize the page pointed by the link URL) - I am thinking of adding a new namespace within item: `channel > item > ai:summary`

2. User's summary prompt (.e.g "What are key points it covers" or "What are the key financial metrics") - What about `channel > item > ai:summaryPrompt`

3. Handle AI filtered feed and user's filter prompt (e.g. "Anything about open source") - I am thinking of including only the filtered feed items in RSS and adding a per channel tag like `channel > ai:filterPrompt`. Or alternatively include all the feed items but add `channel > item > ai:filterPrompt` only for the items filtered by AI (but I doubt RSS readers can handle it properly).

(I want to preserve existing RSS fields if possible, like item description `channel > item > description`)

Any feedback is welcome!

Comments URL: https://news.ycombinator.com/item?id=40082096

Points: 2

# Comments: 0

I researched over 5000 Series A and Series B stage companies in the USA to identify the next unicorns.

I identified 10 companies that I feel could become unicorns very soon based on several factors including growth rates, hiring trends, and leadership. I then ranked them on a few metrics and presented the data to you below.

I used Crustdata's database for this research.

Top 10 Fastest Growing Soonicorn Companies in the USA

1. LangChain is a language model application development library that develops a language model framework to power applications.

2. Vilya is a biotechnology company developing a novel class of drugs that precisely target the biology of disease.

3. Duckbill is an execution engine for daily tasks that functions as a personal assistant copilot using AI-powered technology.

4. Gutsy is a data-driven security governance platform that applies process mining to secure enterprises.

5. rabbit inc. is a tech company specializing in creating a customized operating system using a natural language interface. They most recently launched the rabbit r1 that got a lot of attention worldwide.

6. Babylon is building a new public Cosmos-based PoS blockchain called Babylon with a native token as the bridge between Bitcoin and the PoS world.

7. Saronic builds scalable, fully integrated unmanned surface vehicles and vessels for naval and maritime forces.

8. Unstructured transforms natural language data from raw to machine learning-ready through its open-source libraries and APIs.

9. Yurts is a secure, deployable, full-stack generative AI platform for Large Language Models.

10. Luminopia is developing a new class of treatments through digital therapeutics for significant neuro-visual disorders.

Comments URL: https://news.ycombinator.com/item?id=40082083

Points: 3

# Comments: 1

Article URL: https://lemmy.ml/post/14612626

Comments URL: https://news.ycombinator.com/item?id=40082058

Points: 1

# Comments: 0

I find places with moderators and/or downvote schemes (HN, Reddit, Discord) extremely difficult to understand and survive long-term. I've deleted multiple accounts across platforms like these in the last 10+ years, and hilariously in most cases I'll delete it after only a single downvote or disagreement. To me, getting downvoted is like the Internet version of being disrespected publicly at a place and it makes me never want to go there again. Because everyone saw how wrong I was in that moment, and not only that, but it's archived forever and on display for every future hiring manager and everyone else to find. It's in some ways worse than other forms of embarrassment because it's your very intelligence and ideas etched in stone as "bad take" forever to the public. I digress- I occasionally do come back to these places for various reasons that far outweigh the shallow reasons I leave them.

I'm back on HN now because I caught this LLM bug and am obsessed with building/open-sourcing stuff with them, and am having fun contributing to the big repos. I have questions for some and answers for others and ultimately I'm netting mountains of daily knowledge and inspiration from this site for which I'm grateful. A lot of the people here have a gift for wording things to make them understandable such that it makes HN like paid-quality content but for free. Yet there are others, who often have extremely high scores/karmas/whatever who are clearly only here to sh*t on people and seem personally smart - and they're apparently being rewarded for it with the point system here.

So the prompt is simple - why do you downvote?

What's worthy of it, beyond spam? What do you get out of it? Does HN benefit from downvotes in a way that flagging does not and cannot address? If you don't downvote, answer why you upvote - I'm really curious about the reward system here, what it means and is all about. Why people like and dislike certain kinds of content here.

Comments URL: https://news.ycombinator.com/item?id=40082037

Points: 2

# Comments: 0