bobosha

6 ms·

1.
What Split-Brain Patients Reveal About Consciousness(thereader.mitpress.mit.edu)
4 points by bobosha 3mo ago|2 comments
2.
by bobosha 3mo ago
Their lives and symptoms offer a rare window into how the brain binds experience into a single mind.
3.
Are H-1B Workers Displacing Americans with Cheaper Labor? [video](youtube.com)
2 points by bobosha 6mo ago|3 comments
4.
by bobosha 6mo ago
Hoover Senior Fellow Paola Sapienza and Institute for Progress’ Distinguished Immigration Counsel Amy Nice examine recently obtained data and explain why the common claim—that immigrants are hired as a source of cheap labor—doesn't hol
5.
by bobosha 9mo ago
wouldn't LSH (Locality Sensitive Hashing) make more sense here?
6.
Western executives who visit China are coming back terrified(archive.is)
1 points by bobosha 11mo ago|0 comments
7.
by bobosha 11mo ago
We use a vector db (Qdrant) to store embeddings of images and text and built a search UI atop it.
8.
by bobosha 1y ago
I’m working on a new vision-language model architecture called Onida. Our aim is to match—or surpass—the performance of leading VLMs like LLavA and CogVLM, while operating at a fraction of the cost. Unlike most existing VLMs, which layer vi
9.
by bobosha 1y ago
I largely share Yann LeCun’s perspective that scaling LLM-based approaches will eventually hit a plateau, and that a paradigm shift will be necessary. While there is ongoing debate about what that next paradigm should be, I outline my own v
10.
by bobosha 1y ago
SpaCy is awesome - we have used it in a number of enterprise-grade applications and found it to hold up well.
11.
by bobosha 1y ago
Nice work! will give it a try...
12.
by bobosha 1y ago
IMO AI is going eat most jobs - including the experienced ones - it's just a matter of time. There is no sugar coating this unfortunately.
13.
by bobosha 1y ago
But symbolic != hierarchical
14.
by bobosha 1y ago
congrats ISRO
15.
by bobosha 1y ago
So did everyone and their grandma also have blackberries.
16.
by bobosha 1y ago
exceptions maketh the rule.
17.
by bobosha 1y ago
5 to 10 is reportedly the magic number
18.
by bobosha 1y ago
>Video on the internet was not a popular thing until we had broadband internet. I think it's an example of a post hoc fallacy. The popularity of video was in large part responsible for the investment into broadband in the first plac
19.
by bobosha 1y ago
how is this different from generating a feature hash of the embeddings i.e reduce from many to one embedding reduction? Could a UMAP or such technique be helpful in reducing to a single vector?
20.
by bobosha 1y ago
yet they do data.
21.
by bobosha 1y ago
This is where the memory bit comes in, if you have a memory of past embeddings and associated label(s), it could be an ANN query to fetch the most similar embeddings and infer therefrom.
22.
by bobosha 1y ago
has anyone tried feeding the admittedly noisy OCR-ed text -at a document level - to an LLM for making sense? Presumably some of the less capable ones should be quite affordable and accurate at scale as well.
23.
Poll: Is This AI Wave Really That Disruptive? Where Do You Stand?
2 points by bobosha 1y ago|3 comments
24.
by bobosha 1y ago
Yes, this AI wave is as disruptive (or more) than the media says
25.
by bobosha 1y ago
No, the disruption is overblown-business as usual
26.
by bobosha 1y ago
It’s complicated: some disruption, but also new opportunities
27.
by bobosha 1y ago
Not sure / still waiting to see
28.
by bobosha 1y ago
what are some real-world usecases that people use it for?
29.
by bobosha 1y ago
OpenAI could very well be to this AI boom what Netscape was to the dotcom bubble. Even post dotcom crash, a lot of lasting value remained—and I believe the same will happen this time too.
30.
by bobosha 1y ago
I think this is a really well-designed website — great work on the look and feel! That said, IMHO, startup success is rarely something that can be accurately measured with metrics like these. There are just too many unquantifiable variables

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