Article URL: https://chipsandcheese.com/p/intels-lion-cove-p-core-and-gaming
Comments URL: https://news.ycombinator.com/item?id=44484688
Points: 40
# Comments: 0
https://chipsandcheese.com/p/intels-lion-cove-p-core-and-gaming
Article URL: https://danielsada.tech/blog/microsoft-pact/
Comments URL: https://news.ycombinator.com/item?id=44484874
Points: 11
# Comments: 2
Article URL: https://davidgomes.com/async-queue-interview-ai/
Comments URL: https://news.ycombinator.com/item?id=44482194
Points: 49
# Comments: 24
Chrome now includes a native on-device LLM (Gemini Nano) starting in version 138. I've been building with it since it was in origin trials, it's powerful but the official Prompt API is still a bit awkward:
- Enforces sessions even for basic usage
- Requires user-triggered downloads
- Lacks type safety or structured error handling
So I open-sourced a small TypeScript wrapper I originally built for other projects to smooth over the rough edges:
Article URL: https://www.tbray.org/ongoing/When/202x/2025/07/06/AI-Manifesto
Comments URL: https://news.ycombinator.com/item?id=44483192
Points: 46
# Comments: 29
https://www.tbray.org/ongoing/When/202x/2025/07/06/AI-Manifesto
I managed to reverse engineer the encryption (refered to as “Obfuscation” in the framework) responsible for managing the safety filters of Apple Intelligence models. I have extracted them into a repository. I encourage you to take a look around.
Comments URL: https://news.ycombinator.com/item?id=44483485
Points: 122
# Comments: 38
https://github.com/BlueFalconHD/apple_generative_model_safety_decrypted
Article URL: https://github.com/MrLesk/Backlog.md
Comments URL: https://news.ycombinator.com/item?id=44483530
Points: 17
# Comments: 5
Article URL: https://www.dwarkesh.com/p/timelines-june-2025
Comments URL: https://news.ycombinator.com/item?id=44483897
Points: 41
# Comments: 16