Very unlikely to happen but Intel could release an Arm chip with native x86 translation. Arm and AMD IP would be needed but this would be the best chip for Windows
Readit Newsdlojudice commented on Intel Foundry demonstrates first Arm-based chip on 18a node hothardware.com/news/inte... · Posted by u/rbanffy
dlojudice commented on · Posted by u/dlojudice
I'm also curious about the training process and the hardware required to train a model of this scale. The blog post mentions it's a "breakthrough in self-supervised vision AI," but I'd love to see more details on the architecture and training stability at this scale.
I got the impression that if the strategy works, the market positioning of cafes will shift from selling coffee and cookies to selling workstations with food perks.
Anyone get this working in Cursor? I can connect openrouter just fine, but Cerebras just errors out instantly. Same url/key works via curl, so some sort of Cerebras/Cursor compatibility issue.
Same here. Got this msg on the Celebras discord:
> Yeah I filed a ticket with Cursor
> They have problems with OpenAI customization
dlojudice commented on Gemini Embedding: Powering RAG and context engineering developers.googleblog.com... · Posted by u/simonpure
> Everlaw, a platform providing verifiable RAG to help legal professionals analyze large volumes of discovery documents, requires precise semantic matching across millions of specialized texts. Through internal benchmarks, Everlaw found gemini-embedding-001 to be the best, achieving 87% accuracy in surfacing relevant answers from 1.4 million documents filled with industry-specific and complex legal terms, surpassing Voyage (84%) and OpenAI (73%) models. Furthermore, Gemini Embedding's Matryoshka property enables Everlaw to use compact representations, focusing essential information in fewer dimensions. This leads to minimal performance loss, reduced storage costs, and more efficient retrieval and search.
This will make a lot of junior lawyers or their work obsolete.
Here is a good podcast on the topic how will AI affect legal industry
https://open.spotify.com/episode/4IAHG68BeGZzr9uHXYvu5z?si=q...
It's really cool to see Odd Lots being mentioned here on HN. It's one of my favorite podcasts. However, I think the guest for this particular episode wasn't up to the task of answering questions and exploring the possibilities of using AI in the legal world.
dlojudice commented on SensorLM: Learning the Language of Wearable Sensors research.google/blog/sens... · Posted by u/dlojudice
If this works as advertised, it could finally deliver on the promise of personalized health and wellness that we've been hearing about for years. Instead of just seeing a spike in your heart rate, you could get a notification telling you that it's likely due to stress and that you should take a few deep breaths. That's a real, tangible benefit that could justify the cost and hassle of wearing one of these things 24/7.
dlojudice commented on ZUSE: IRC terminal client github.com/babycommando/z... · Posted by u/babycommando
The real tragedy isn't IRC clients, but that IRC missed its chance to become the dominant decentralized protocol before Slack/Teams took over.
The core issue wasn't just tooling. IRC's protocol fundamentally lacked what modern teams need: native multimedia support, seamless file sharing, persistent searchable history, and rich formatting. While IRCv3 improved extensibility, it didn't address these feature gaps.
It seems that IRC's simplicity was both its strength and fatal weakness. Great for tech communities, but too bare-bones for mainstream adoption.
I feel that we traded decentralization for features, and now we're stuck with proprietary silos
And I don't understand why you'd want a dual-ISA x86 and ARM rather than just an x86 chip. You wouldn't get whatever CPU front-end simplicity advantages there are from ARM, since your front-end would get significantly more complex and consume significantly more transistors than with a normal x86 chip. And I don't think there's a market of people who want ARM for compatibility reason; any Windows software which supports ARM also supports x86.
What they could do is to release an ARM chip with a slightly extended ISA to add the select features which are difficult to emulate in software, such as loads and stores with the memory ordering guarantees x86 provides but ARM doesn't. Apple does this AFAIK, and it's one part of why Rosetta 2 is so good. But any ARM CPU maker could do this.
Intel's unique position with x86 IP could make this feasible where others can't, but whether the engineering effort is worth it for what might be a short-term market advantage is debatable.