[1]: https://genmon.github.io/braggoscope/2012/01/02/episode-1.ht...
Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
151–160 of 177 posts
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#152This is the part that sounds amazing to me. I haven't done web scraping since forever, but it was tag matching hell even on a consistent data source.
And that it hands you back JSON is just unfair.
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#153Earlier quoted context omitted.
Here’s a powerful use - content moderation. Today we literally traumatize content moderators with the dregs of the human mind. Chatgpt is fairly good at identifying the classification of content on many dimensions, including the ones it’s actively screens for. Regardless of how you personally feel about content moderation, I would be happy to see humans not have to be actively involved in it and face the traumas they…
Automating your moderation policies is a cop-out. It isolates you even further from the peons whose lives you're controlling. European humans have the right for any automated decision affecting them to be reviewed by a human. We do not want a world where a tiny handful of people, getting fewer by the day if it's Twitter, have untrammeled control over what billions of people can say, see or do. We can't let businesses…
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#154Earlier quoted context omitted.
Fusion 360 has a generative AI design extension already. Never used it, I’m too much a poor to use something like that.
There is a free hobby plan for Fusion 360 that I use for my personal projects.
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#155Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#156Earlier quoted context omitted.
I'm about to start work in this space. Some companies are getting close to full building automation, Augmenta seems to me to be closest / have the best approach. [0] Although the complexity of building standards is a challenge, the speed and quality of various generative algorithms are still major limitations. [0] https://www.augmenta.ai/
Thanks for linking augmenta. I was wondering if you know of other similar companies? I'm an experienced structural engineer who's just completed an MSc in Comp.Sci. I want to combine the two disciplines and so far I've only been looking for consultants who utilise parametric design (Rhino + Grasshopper).
I don’t know of any other multidiscipline generative design companies, but for process plant design there is OptiPlant and PipeStream. There are a lot in the architecture space but these are mostly for high level conceptual design.
In my experience many structural engineers code and use simple parametric models. Finding a company using actual generative design algorithms is still rare but there are definitely engineering teams out there who value comp.sci skills.
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#157In Our Time is one of the best podcasts out there. Are there any similar ones?
https://www.bbc.co.uk/programmes/p004kln9/episodes/downloads
Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#158Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#159Re: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT
#160Earlier quoted context omitted.
I remember having that epiphany in 2017, reading the original google transformer press release. I remember thinking “they taught computers to understand!, and someday soon i’ll be able to translate anything into anything.” And not like translating “languages” but translating contexts and concepts. LLMs really shine when you try and combine two previously untouched things or map one bit of knowledge it a common patter…
LLMs will be used to discover "not so obvious" connections in science. I think we will see first scientific discoveries done by LLMs very soon (in fact, such works are probably already happening). Expect major breakthroughs in physics, math, cosmology, biology, etc. published in Nature and authored by LLMs.