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Article URL: https://www.eff.org/deeplinks/2026/08/youth-ai-privacy-acts-privacy-paradox Comments URL: https://news.ycombinator.com/item?id=49164224 Points: 1 # Comments: 0

Article URL: https://headwater.gumroad.com/l/jxvjh Comments URL: https://news.ycombinator.com/item?id=49164249 Points: 1 # Comments: 0

Article URL: https://apnews.com/article/germany-bayreuth-wagner-festival-ai-f4300cdc0be195dabdadfa6d2ab4254c Comments URL: https://news.ycombinator.com/item?id=49164296 Points: 6 # Comments: 2

There are many open-source projects across inference, orchestration, observability, vector search, data pipelines, evaluation, and model management. Most are relatively easy to test, but production operation is a different problem. For those running open-source AI infrastructure in production: * What open-source AI technologies are you using? * Where are you running them? * What challenges are you facing? - cost, GPU availability, security, manageability, or something else Thanks Comments UR...

Article URL: https://www.bloomberg.com/news/articles/2026-08-04/china-s-ai-blitz-creates-death-zone-for-rival-us-model-makers Comments URL: https://news.ycombinator.com/item?id=49164723 Points: 3 # Comments: 0

Just a simple question. I'm an engineer but started marketing for my product, and didn't work well. Can I gain some tips that you'd worked with, and how you succeeded? Comments URL: https://news.ycombinator.com/item?id=49164757 Points: 2 # Comments: 0

Article URL: https://ardor.cloud/blog/ardor-getblock-agentic-operations Comments URL: https://news.ycombinator.com/item?id=49164831 Points: 2 # Comments: 0

Article URL: https://github.com/mountainowl/bubo Comments URL: https://news.ycombinator.com/item?id=49164862 Points: 1 # Comments: 1

Article URL: https://www.economist.com/finance-and-economics/2026/08/03/how-china-gets-better-bang-for-its-buck-than-america-in-ai Comments URL: https://news.ycombinator.com/item?id=49165100 Points: 2 # Comments: 0

Article URL: https://emilylee293105.substack.com/p/six-problems-when-you-try-to-build Comments URL: https://news.ycombinator.com/item?id=49165140 Points: 2 # Comments: 0

Article URL: https://www.technologyreview.com/2026/08/03/1141056/trumps-ai-protectionism-has-come-for-robotics/ Comments URL: https://news.ycombinator.com/item?id=49165171 Points: 1 # Comments: 0

Article URL: https://www.youtube.com/watch?v=2myd3cgqe2k Comments URL: https://news.ycombinator.com/item?id=49165399 Points: 1 # Comments: 0

Article URL: https://www.alanbonnici.com/2026/07/the-ai-revolution-history-repeating.html Comments URL: https://news.ycombinator.com/item?id=49165420 Points: 1 # Comments: 0

Article URL: https://www.aifuturesmodel.com/ Comments URL: https://news.ycombinator.com/item?id=49165478 Points: 1 # Comments: 0

Article URL: https://www.techradar.com/pro/linkedin-says-it-wont-be-spending-big-on-ai-hardware-this-year-but-it-has-a-good-reason-why Comments URL: https://news.ycombinator.com/item?id=49165499 Points: 1 # Comments: 0

- Engineer / Person who wrote the PR. - Reviewer - Tester / Person who tested it Comments URL: https://news.ycombinator.com/item?id=49165546 Points: 1 # Comments: 0

If the exact same quantum circuit works perfectly in a simulator, why does it often produce different results on a real quantum computer? That question catches almost every quantum developer by surpri

Continuing my weekend of oneshotting the cheap OpenRouter models, here are all 10 DeepSeek models across the same 35 prompts. DeepSeek had a rougher time (more provider errors / empty completions), so only 242 made it out of the 10*35 matrix. Here they are https://oneshotlm.com/model/?q=deepseek DeepSeek V4: deepseek-v4-pro , deepseek-v4-flash (+ 0731 ) DeepSeek V3.x: deepseek-v3.2 (+ exp ), deepseek-v3.1-terminus , deepseek-chat-v3.1 , deepseek-chat DeepSeek R1: deepse...

https://preview.redd.it/3zcvpbds14hh1.png?width=1911&format=png&auto=webp&s=a79aafb71eeca97638da93d2591902631e897fd5 I tried a test similar to the recent model-quant comparisons, but this time I focused only on: DeepSeek-V4-Flash-0731-IQ2_XS-Experts-Q8_0 model link bullerwins/DeepSeek-V4-Flash-0731-GGUF · Hugging Face Hardware RTX 3090 24 GB 128 GB DDR4 RAM Windows llama.cpp / llama-server Prompt Write a single HTML file with a full-page canvas and no ...

Hey there! So today we're releasing SupraBrain-50M, a hybrid language model that combines Gated DeltaNet linear recurrence with Sliding-Window Attention and Surprise-Gated update mechanisms to deliver very strong performance. Here are the benchmarks: https://preview.redd.it/tv0bxkbyh4hh1.png?width=615&format=png&auto=webp&s=f296ed9e6c1d94738cb7aa84015117dd3e65d2a5 Despite being trained on MUCH less data (5B vs 20B tokens!!), it's almost as good as Supra-Base-50M! 🔥 Some s...

i already had an esp32 generating stories, but generating text is not the same as receiving a question and giving a useful answer. barista v0.1, a small model trained for espresso troubleshooting and running on an esp32s3 n16r8 witout cloud. you type a question(over usb for now), esp32 streams the answer to the oled (or back to terminal). how it works: > per-layer embeddings. most of the parameters in this model are in large ple and token-embedding tables. those tables stay memory-m...

Originally, I was only getting around 140pp/s and about 21tg/s, but the config with -b 8192 -ub 8192 --cpu-moe is vastly superior, let's say 700pp/s and 18tg/s in the most relevant range. Test System : CPU: Threadripper 5965WX (24c/48t) RAM: 512GB ( 8 x64 DDR4 ECC REG 2400 ) GPU: RTX 5090 (PCIe 4 x16, 450W) Command ./build/bin/llama-server \ -hf unsloth/DeepSeek-V4-Flash-0731-GGUF:UD-Q8_K_XL \ --temp 1.0 --top-p 1.0 --min-p 0.0 --host 0.0.0.0 \ --ctx-size 262144 --no-...

I tested them by sending the 6 documents, each meant to represent a different document type, through my own webapp and comparing every output against the source. All ran on the same L4 GPU. The documents: Financial statements with merged multi-level headers (A typical annual report) Two pages of a two-column arXiv paper ("Deep Residual Learning for Image Recognition") Scanned German invoice with no text layer French municipal report with an embedded bar chart Typical data...

AI9Stars has released G9v3-39A5B an open weights language model designed to deliver even stronger reasoning capabilities than ai9stars/G9v3-3B with its 39B and 5 active experts. It is released under the Apache 2.0 license making it fully open for personal and commercial use It targets everyday assistant use, coding, tool-use workflows, and reasoning tasks, and supports both Think / No Think GITHUB: https://github.com/AI9Stars HF MODEL CARD: https://huggingface.co/ai9stars/G9v3-39A5B A...

Hugging Face Artificial Analysis Should be a sweet spot for general work. Seems like coding is the only part that is inferior to Qwen.

Has anyone followed nousresearch work on Hermes? I mean we are Q3 2026. We have some crazy models trickling down from HGX territory to multi gpu workstation. And we have nousresearch deploying the 0.20 of its hermes agent while starting releasing the project with a 0.2 mid march! Crazy times to be alive. For the old timers who remember llama 1 or llama 2, remember our crappy function caller parser? Something about a lang and a chain..? wtf has happened?! Haven't tried the new hermes, do yo...

Now we can run Qwen3-Next at “full speed” :) Do you still remember this model?

It is so good! I don't know why there aren't more people talking about it. Fewer tokens, faster and more accurate than Qwen 3.6 35b a3b. On my setup it's nearly as good as 27b, but 5x faster. And it completely trashes the Gemma 4 models. At least for my use case, it feels amazing. I'd love to hear other people's experience with it. If you want an actual measure of performance, I have a GitHub repo explaining how I tested it for my type of use case with a detailed performance comparison with o...