jack1689

7 ms·

1.
by jack1689 2mo ago
thank you for your feedback! I see your point, and we keep asking this thing ourselves. If this was just some sort of static retrieval, I'd agree with you. But the truth is that we're tackling something more fundamental: improving
2.
by jack1689 2mo ago
Hey, yes it's on the same family for sure! The difference is that it works with anything, not just MCPs, and it runs in-process without any additional infra (which usually isn't the case for other RAG solutions). Happy to hear you
3.
by jack1689 2mo ago
Hey guys, fair callout, but no AI involved, promise! You're right that some comments look off and someone's farming karma for sure. We see genuine traffic to the repo anyway, so people is checking it out! Critical feedback is what
4.
by jack1689 2mo ago
Thank you! Right now we're adding some frameworks adapters to lower the adoption friction, and pushing deeper on new algorithms on the retrieval side. More languages support is not on the radar yet, but we accept contributions! :)
5.
by jack1689 2mo ago
Thank you! Let us know how it works if you try it out :) of course real world is another story, but we agree benchmarks are amazing indeed!
6.
by jack1689 2mo ago
Yes! I should have mentioned in the original post. It was actually built in Typescript at first, but then the performance were not good enough for production use cases. With Rust the footprint was way lower, and we managed tear the latency
7.
by jack1689 2mo ago
Would love to hear your feedback if you can try it. We initially rolled out BM25 for tool search as it worked best for us internally. Recently rolled out also embeddings and an hybrid option that is being tested in production as we speak
8.
Show HN: Ratel, give agents unlimited tools and skills without context bloat(github.com)
23 points by jack1689 2mo ago|20 comments
9.
Anthropic, Blackstone bet the next trillion-dollar AI business is implementation(techcrunch.com)
6 points by jack1689 2mo ago|2 comments
10.
The Reverse Information Paradox(snscratchpad.com)
3 points by jack1689 2mo ago|1 comments
11.
by jack1689 2mo ago
The common fear is that the giant AI labs that sell proprietary models are somehow acting like Trojan horses. I feel the real question is how can we effectively prevent that, yet having best in class inference? Are open source models the en
12.
Anduril CEO Warns AI and Defense Valuations Are Becoming Dangerously Overvalued(finance.yahoo.com)
6 points by jack1689 2mo ago|0 comments
13.
Open source AI matters more than ever, according to Hugging Face's Clem Delangue(techcrunch.com)
1 points by jack1689 2mo ago|0 comments
14.
Central Banks Are Joining the AI Bubble Debate(forbes.com)
1 points by jack1689 2mo ago|1 comments
15.
by jack1689 2mo ago
Wondering whether they are more worried about security concerns given the latest model releases (see European Central Bank about Mythos) or a potential bubble and how/if they can do something about it
16.
AI Tokenomics: How to tokenmin while ROImaxxing(mmc.vc)
3 points by jack1689 2mo ago|1 comments
17.
by jack1689 2mo ago
I feel like 12 months ago it was just about "we just need the next great model" and now we are seeing how there is a lot of infra to be built around these models to avoid ROI negative tokenmaxing outcomes
18.
by jack1689 2mo ago
I have been hearing a lot about "AI will help us create greener energy" with the promise to sort of close the loop (linking here one from MIT I came across a while ago: https://news.mit.edu/2025/how-ai-can-hel
19.
Why the rise of open source AI isn't hurting Anthropic yet(techcrunch.com)
3 points by jack1689 2mo ago|0 comments
20.
by jack1689 2mo ago
Yeah totally feel you on this one! To avoid it or at least limit that I usually ask it to create external memories, clearing the context window and leaving just a trace to recall the memory created for that run. I hope it might help!
21.
What is Bending Spoons? The little-known AOL and Vimeo owner that's now public(techcrunch.com)
86 points by jack1689 2mo ago|115 comments
22.
by jack1689 2mo ago
I was reading a bit about their story, it feels like they managed to succeed by turning overly funded (and by then devalued) software products and restructuring them for long term profitability as they are not bounded to the classic 10 year
23.
by jack1689 2mo ago
How can you effectively defend tho in todays AI era?
24.
by jack1689 2mo ago
100% would echo that - but I'd say it's a wide problem across job markets not just for junior programmers
25.
Ford rehires human engineers after AI fails to match quality checks(bbc.com)
8 points by jack1689 2mo ago|1 comments
26.
by jack1689 2mo ago
I feel it has rather created an opportunity for a junior programmer to deliver 5x faster than before and it has lowered the barriers to be a decent junior developer. Perhaps in today's job market for junior devs what changed are the me
27.
by jack1689 3mo ago
Genuinely experiencing it daily and tackling it by having a few audit agents running in parallel to keep the big picture and feed context as needed. However, this is terribly expensive. My question tho is, how confident are we about an agen
28.
by jack1689 3mo ago
How is this sustainable in the long run tho? Major enterprises are already making the headlines as they cut licenses and reduce token consumptions. The conversation is moving a lot toward return on token... is automating this activity with
29.
by jack1689 3mo ago
Wondering if it's just the iphone and the fact that we have it always in our pockets or the amount of "radiations" we are exposed it constantly at home at the office tbh
30.
US Government says it got hacked – again(techcrunch.com)
19 points by jack1689 3mo ago|2 comments

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