cpard

8 ms·

61.
by cpard 8mo ago
sure, I won't argue on this, although it did manage to deliver the marketing value they were looking for, at the end their goal was not to replace gcc but to make people talk about AI and Anthropic. What I said in my original comment i
62.
by cpard 8mo ago
the c compiler results or the physics results this post is about?
63.
by cpard 8mo ago
The reason there is a marketing opportunity is because, to your point, there is a legitimate concern. Marketing builds and amplifies the concern to create awareness. When the systems turn into something trivial to manage with the new toolin
64.
by cpard 8mo ago
AI can be an amazing productivity multiplier for people who know what they're doing. This result reminded me of the C compiler case that Anthropic posted recently. Sure, agents wrote the code for hours but there was a human there givin
65.
GraphLite: An Embeddable Graph Database with ISO Graph Query Language Support(github.com)
6 points by cpard 11mo ago|0 comments
66.
by cpard 11mo ago
As others said, Vortex is complementary to the table Formats you mentioned. There are other formats though that it can be compared to. The Lance columnar format is one: https://github.com/lancedb/lancedb And Nimble fro
67.
A better way to search Hacker News using LLMs(github.com)
3 points by cpard 11mo ago|1 comments
68.
by cpard 11mo ago
Many times I read something on HN and come back to find it after a few days or weeks and using the current keyword based search has been consistently giving me a hard time, so I played around with LLMs as an alternative way of searching and
69.
Nanoimprint Lithography: Stop Saying It Will Replace EUV(newsletter.semianalysis.com)
2 points by cpard 1y ago|0 comments
70.
by cpard 1y ago
Servethehome[1] does a bit of a better job describing what maverick-2 is and why it makes sense. [1] https://www.servethehome.com/nextsilicon-maverick-2-brings-d...
71.
by cpard 1y ago
A framework for optimizing LLM agents, including but not limited to RL. You can even do fine tuning, they have an example with unsloth in there. The design of this is pretty nice, it's based on a very simple to add instrumentation to y
72.
Turn fenic data sandboxes into versioned Hugging Face datasets(huggingface.co)
1 points by cpard 1y ago|1 comments
73.
by cpard 1y ago
We are very excited for this integration with HF datasets. Datasets have a huge potential to deliver some much needed developer experience when it comes to working with data and LLMs/agentic architectures. Happy to answer any questions
74.
The Learning Curve Moat in Data Systems(typedef.ai)
2 points by cpard 1y ago|1 comments
75.
by cpard 1y ago
LLMs have the potential to compress the cost of learning new programming models. The current moats built around that cost will start to dissolve and that's a good thing.
76.
by cpard 1y ago
That’s the whole reason of existence of Iceberg, Delta and Hudi right? Not as easy as just appending metadata to a parquet file but in the other hand, parquet was never and probably shouldn’t be designed with that functionality in mind.
77.
by cpard 1y ago
The valuable lesson from what Cloudflare claims is that if you want to make an LLM perform as you expect you have to build considering their strengths and weaknesses. You can see the same behavior if you try to ask an LLM to code in an API
78.
Terminal-bench: a benchmark for AI agents in terminal environments(tbench.ai)
3 points by cpard 1y ago|0 comments
79.
by cpard 1y ago
we had to update the instructions in the README to fix some issues with how to run the server locally, apologies for any pain caused to people who might have tried to do that already. The updated README now has instructions that will work!
80.
Show HN: A "Codebase" as an MCP Server(github.com)
20 points by cpard 1y ago|1 comments
81.
by cpard 1y ago
It's great to see content coming from people with real experience of the impact of AI. The balance between more productivity versus less people is probably something that each team and company has to figure out but there has to be some
82.
by cpard 1y ago
User behavior analytics have created some interesting specialized data systems. It's interesting that the authors chose to use Redis but how does it scale with a lot of events? A few other interesting projects from the past that either
83.
by cpard 1y ago
Makes total sense, I think robotic surgeries are happening for quite a while now not only for eye surgeries. And I think it’s another great example of how automation is happening in the medical practice.
84.
by cpard 1y ago
Of course they will. I don’t argue that they won’t. I just say that the path to that and the way it’s going to be implemented is going to be different and Invisalign is a better example to how it will happen in the medical industry compared
85.
by cpard 1y ago
I think Waymo is a little bit different and driving in general. Because you have an activity that most people don’t trust how other people perform it already. It’s easier to accept the robo driver. For the medical world, I’d look to the Inv
86.
by cpard 1y ago
From their FAQ: "Is it worth the investment? Absolutely. Hotels equipped with Rest have seen an 84x increase in smoking fine collection. Plus, our smoking detection technology helps prevent damage to rooms and reduce a number o
87.
by cpard 1y ago
that makes total sense and what it entails is that interactive inference >>> batch inference in the market today in terms of demand.
88.
by cpard 1y ago
yes, what you describe feels like a one off job that you want to run, which is big and also not time critical. Here's an example: If you are a TV broadcaster and you want to summarize and annotate the content generated in the past 12 h
89.
by cpard 1y ago
What you describe makes total sense. I think that the tricky part is the "non-time-sensitive operations", in an environment where even if you don't care to have results in minutes, you have pipelines that run regularly and th
90.
by cpard 1y ago
yeah I get that part of batch, but even with batch processing, you usually want to have some kind of sense of when the data will be done. Especially when downstream processes depend on that. The other part that I think makes batch LLM infer

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