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Article URL: https://www.cnbc.com/2026/07/07/chinese-ai-models-costs-us-openai-anthropic.html Comments URL: https://news.ycombinator.com/item?id=48824371 Points: 5 # Comments: 1

Article URL: https://twitter.com/fba/status/2074541708218351872 Comments URL: https://news.ycombinator.com/item?id=48824559 Points: 1 # Comments: 2

Article URL: https://github.com/nossa-y/activity-frames Comments URL: https://news.ycombinator.com/item?id=48824758 Points: 1 # Comments: 0

Article URL: https://www.wsj.com/tech/ai/ai-giants-are-handing-out-tons-of-free-computing-power-to-grab-startup-share-c00a5c5c Comments URL: https://news.ycombinator.com/item?id=48824768 Points: 5 # Comments: 2

Article URL: https://www.autosprite.io Comments URL: https://news.ycombinator.com/item?id=48824854 Points: 1 # Comments: 0

Article URL: https://conformityengineering.com/playbook/ Comments URL: https://news.ycombinator.com/item?id=48824992 Points: 1 # Comments: 0

Article URL: https://github.com/qualcomm/GenieX Comments URL: https://news.ycombinator.com/item?id=48825032 Points: 3 # Comments: 1

Article URL: https://techcrunch.com/2026/07/07/why-the-rise-of-open-source-ai-isnt-hurting-anthropic-yet/ Comments URL: https://news.ycombinator.com/item?id=48825221 Points: 2 # Comments: 0

Article URL: https://blog.bytebytego.com/p/how-openai-delivers-low-latency-voice Comments URL: https://news.ycombinator.com/item?id=48825411 Points: 1 # Comments: 0

I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR requests. It's pretty undeniable that AI code is here to stay - so on your teams / companies how are you managing staying up on PR reviews, and documentation? Comments URL: https://news.ycombinator.com/item?id=48825447 Points: 1 # Comments: 1

Article URL: https://www.thenation.com/article/society/the-merge-with-ai-has-already-begun/ Comments URL: https://news.ycombinator.com/item?id=48825516 Points: 2 # Comments: 0

Article URL: https://inference.dahl.global/ Comments URL: https://news.ycombinator.com/item?id=48825545 Points: 4 # Comments: 4

I've been seeing AI companion apps everywhere lately, and I finally decided to give one a try. What surprised me is how different they all are. Some seem focused on realistic conversations, others lean heavily into roleplay, and some are all about character customization or generating images. As someone who's completely new to this, it's honestly a little overwhelming. I don't want to download five different apps just to figure out which one actually has good conversations. I've been trying ...

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https://preview.redd.it/lwx71pq4rubh1.png?width=2400&format=png&auto=webp&s=9840ff351bc5e4419d8d3b90939d8e294c08f7b5 Was this really that much of a surprise to people. For years, China has been sitting on massive amounts of data I don't think it was that hard to train them. Also i think the chip bans and hardware constraints backfired, because they trained their models to become light weight which i think is way more important for open source.

Building an agent has become much easier now. Half the frameworks out there get you a demo in a day, sometimes less. The hard part is everything that comes after. Versioning, deployment, environment management, monitoring, rollbacks, access control, all of it. We learned this the hard way after our first pilot actually worked and we had no plan for what came next. Anyone here actually made it past the pilot stage? What broke first for you and what do you wish you'd set up earlier instead of ...

I kept putting off the business setup side because every step felt like another tool, account or subscription This time I tried running it through Claude and kept the whole thing in one workflow: setup, verification, bank account and basic finance admin after. Still early but it’s been way easier than jumping between random sites and notes. The nice part is not needing a bunch of separate tools just to get the business side ready. Am I the only one doing it this way? I don’t think it’s tha...

https://arxiv.org/abs/2605.18311 There’s a massive trend right now where companies are trying to replace real human feedback with LLM-driven "synthetic users." The idea sounds great on paper - why would you spend money and time recruiting real people to test products, pick design choices, or evaluate options when you can just prompt? They tested LLMs across 28 real-world studies spanning 78 choice tasks to see if their selections matched thousands of actual human participants. ...

https://orbis.aurochthryx.com

Then when the ai agents don't perform as good as they think they just rehire human employees lmao

AI Pulse Dashboard With how fast new models are dropping, I found it hard to keep track of pricing and benchmark changes across providers. Built a single-file dashboard (no backend) that aggregates 600+ models from 170+ companies. There's a Python pipeline that updates everything with a single click, so new releases get picked up within a day. Project Page: https://github.com/T-a-c-h-y-o-n/aipulse/ [link] [comments...

I wanted to know if an LLM could generate a podcast I'd actually choose to listen to — turning Hacker News threads into audio, in my case. Turns out writing the script is the easy 20%. The rest is fighting everything the model wants to do by default. Two things made the biggest difference: 1. Constraints beat instructions. Telling a model "be conversational" does nothing. What worked was giving the two hosts different information — one only read the article, the other only re...

Made a cool project check it out used for learning especially for indian students

When I first started using AI, I was honestly blown away. It felt like it could answer almost anything, and I caught myself trusting it more than I probably should have. After using it pretty much every day for a while, my perspective has changed. I still think it's incredibly useful, but now I double-check important information a lot more often. I've seen enough confident-sounding mistakes that I don't automatically assume it's right anymore. What's interesting is that using AI more hasn't ...

When a multi-agent AI system answers you, that answer has passed through several “hands” - a scraper, an ingestion model, a synthesis model. Each can distort or invent. Current tools log what happened, but nothing grades who transformed a claim or how much to trust the result. Classical Islamic hadith scholarship spent ~1,200 years on a structurally identical problem: whether to trust knowledge passed through chains of human narrators. Their solution: grade every transmitter, judge a chain...

Hi everyone, I'm actively looking for an opportunity as an AI/ML Engineer, Machine Learning Engineer, Data Scientist, GenAI Engineer, Python Developer, or Data Analyst . I completed my M.Tech in Data Science and have 8 months of experience as an L2 Data Analyst , where I worked with data, analytics, and supported learners in Data Science and Machine Learning. One thing I've noticed during my job search is that I do receive calls from recruiters, but many opportunities require 2–3+...

Writing my own predictions in the AI space

Article URL: https://www.notus.org/economy/treasury-internal-report-warning-dangers-ai-bubble Comments URL: https://news.ycombinator.com/item?id=48818351 Points: 11 # Comments: 0