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Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
How to Lead Your Team When the House Is on Fire (Score: 152+ in 6 hours)
Link: https://readhacker.news/s/6eBnB
Comments: https://readhacker.news/c/6eBnB
Ask HN: Former gifted children with hard lives, how did you turn out? (Score: 152+ in 1 day)
Link: https://readhacker.news/c/6ezmc
For various life reasons, I developed depression, and I am autistic and have ADHD (diagnosed, treated). I didn’t get treatment for my ADHD till after college.
The point of this Ask HN isn’t to start a pity party, but I am just getting some data on how others like me are doing.
I have an ACE score of 6. Currently, I look accomplished to people, but I don’t feel accomplished. My estimated networth is maybe 300K or more with home equity. My biggest concern with my quality of life is I don’t feel safe (don’t ask).
So what’s your ACE score, and how satisfied are you with your life?
ACE quiz: https://www.npr.org/sections/health-shots/2015/03/02/3870079...
Linux dev swatted and handcuffed live during a development video stream (🔥 Score: 150+ in 3 hours)
Link: https://readhacker.news/s/6eBp5
Comments: https://readhacker.news/c/6eBp5
Bitcoin puzzle #66 was solved: 6.6 BTC (~$400k) withdrawn (Score: 150+ in 8 hours)
Link: https://readhacker.news/s/6eAxM
Comments: https://readhacker.news/c/6eAxM
Open Source security camera on Raspberry Pi (Score: 151+ in 7 hours)
Link: https://readhacker.news/s/6eAxX
Comments: https://readhacker.news/c/6eAxX
Factor 0.100 Now Available (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6eyes
Comments: https://readhacker.news/c/6eyes
Linux 6.11 Released (🔥 Score: 152+ in 2 hours)
Link: https://readhacker.news/s/6eAT4
Comments: https://readhacker.news/c/6eAT4
Google Has Officially Killed Cache Links (Score: 153+ in 6 hours)
Link: https://readhacker.news/s/6ezYY
Comments: https://readhacker.news/c/6ezYY
Show HN: Wordllama – Things you can do with the token embeddings of an LLM (Score: 150+ in 7 hours)
Link: https://readhacker.news/s/6ezLt
Comments: https://readhacker.news/c/6ezLt
After working with LLMs for long enough, I found myself wanting a lightweight utility for doing various small tasks to prepare inputs, locate information and create evaluators. This library is two things: a very simple model and utilities that inference it (eg. fuzzy deduplication). The target platform is CPU, and it’s intended to be light, fast and pip installable — a library that lowers the barrier to working with strings semantically. You don’t need to install pytorch to use it, or any deep learning runtimes.
How can this be accomplished? The model is simply token embeddings that are average pooled. To create this model, I extracted token embedding (nn.Embedding) vectors from LLMs, concatenated them along the embedding dimension, added a learnable weight parameter, and projected them to a smaller dimension. Using the sentence transformers framework and datasets, I trained the pooled embedding with multiple negatives ranking loss and matryoshka representation learning so they can be truncated. After training, the weights and projections are no longer needed, because there is no contextual calculations. I inference the entire token vocabulary and save the new token embeddings to be loaded to numpy.
While the results are not impressive compared to transformer models, they perform well on MTEB benchmarks compared to word embedding models (which they are most similar to), while being much smaller in size (smallest model, 32k vocab, 64-dim is only 4MB).
On the utility side, I’ve been adding some tools that I think it’ll be useful for. In addition to general embedding, there’s algorithms for ranking, filtering, clustering, deduplicating and similarity. Some of them have a cython implementation, and I’m continuing to work on benchmarking them and improving them as I have time. In addition to “standard” models that use cosine similarity for some algorithms, there are binarized models that use hamming distance. This is a slightly faster, similarity algorithm, with significantly less memory per embedding (float32 -> 1 bit).
Hope you enjoy it, and find it useful. PS I haven’t figured out Windows builds yet, but Linux and Mac are supported.
Lazarus Group laundered $200M from 25 crypto hacks to fiat (Score: 152+ in 7 hours)
Link: https://readhacker.news/s/6ezzE
Comments: https://readhacker.news/c/6ezzE
Void captures over a million Android TV boxes (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6exdt
Comments: https://readhacker.news/c/6exdt
The Bastard Operator from Hell (1999) (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6eyDM
Comments: https://readhacker.news/c/6eyDM
OpenSCAD: The Programmer's Solid 3D CAD Modeller (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6ezgc
Comments: https://readhacker.news/c/6ezgc
Falsehoods programmers believe about TCP (Score: 150+ in 5 hours)
Link: https://readhacker.news/s/6eyKk
Comments: https://readhacker.news/c/6eyKk
LLMs Will Always Hallucinate, and We Need to Live with This (Score: 152+ in 4 hours)
Link: https://readhacker.news/s/6eywx
Comments: https://readhacker.news/c/6eywx
Learn Git Branching (Score: 150+ in 13 hours)
Link: https://readhacker.news/s/6eAkB
Comments: https://readhacker.news/c/6eAkB
Tell HN: DanBC has died (🔥 Score: 153+ in 2 hours)
Link: https://readhacker.news/c/6eBCY
I am sorry to announce that long-time HN contributor DanBC died last month after a prolonged period of ill health. May his legacy continue to inspire, and his contributions to this place and the wider world be remembered. Rest in peace, Dan.
https://www.gloucestershire.gov.uk/media/53jhyy44/neurodiver...
"Sadly Dan Beale Cocks, the wonderful Co-Chair of the Mental Health and Wellbeing Partnership Board died on 21 August 2024 after a long illness. Dan made a fantastic contribution to improving mental health and
coproduction in Gloucestershire for many years and he will be greatly missed.
Before Dan died, we asked if we could plan an annual Dan Beale Cocks Celebration of Best Practice in
Coproduction and he was delighted with the idea. It is intended to take this forward in collaboration with
the other Partnership Boards."
https://news.ycombinator.com/user?id=DanBC
dan.bealecocks">dan.bealecocks" rel="nofollow">https://medium.com/@dan.bealecocks
https://twitter.com/DanBealeCocks
https://www.youtube.com/watch?v=xjiMvSJDa2g
Hi-Tech Bifocals Improved My Eyesight but Made Me Look Like a Dork (❄️ Score: 152+ in 3 days)
Link: https://readhacker.news/s/6erZE
Comments: https://readhacker.news/c/6erZE
USPS' long-awaited new mail truck makes its debut to rave reviews from carriers (❄️ Score: 152+ in 3 days)
Link: https://readhacker.news/s/6etnE
Comments: https://readhacker.news/c/6etnE
How to Succeed in Mrbeast Production (Leaked PDF) (🔥 Score: 177+ in 1 hour)
Link: https://readhacker.news/s/6eBg3
Comments: https://readhacker.news/c/6eBg3
We're not going to run out of new anatomy anytime soon (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6eqS5
Comments: https://readhacker.news/c/6eqS5
Fuck founder mode. Work in "Fuck off mode" (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6ezVR
Comments: https://readhacker.news/c/6ezVR
USPS' long-awaited new mail truck makes its debut (❄️ Score: 152+ in 3 days)
Link: https://readhacker.news/s/6erkZ
Comments: https://readhacker.news/c/6erkZ
Show HN: Bullshit Remover (Score: 152+ in 6 hours)
Link: https://readhacker.news/s/6ezSZ
Comments: https://readhacker.news/c/6ezSZ
Why Scrum Is Stressing You Out (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6ezpF
Comments: https://readhacker.news/c/6ezpF
Founder Mode, hackers, and being bored by tech (Score: 152+ in 13 hours)
Link: https://readhacker.news/s/6eyvi
Comments: https://readhacker.news/c/6eyvi
Making a rickroll laser: A parametric speaker (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6eyfF
Comments: https://readhacker.news/c/6eyfF
One in five genetics papers contains errors thanks to Microsoft Excel (2016) (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6eyuG
Comments: https://readhacker.news/c/6eyuG
Show HN: Free tool to find RSS feeds, even if not linked on the page (❄️ Score: 150+ in 4 days)
Link: https://readhacker.news/c/6ejpK
I developed a small tool to find RSS feeds for websites. You can try it out here: https://lighthouseapp.io/tools/feed-finder
In >90% of cases the standard way of checking meta tags is enough to find the feeds. But my goal for this tool is that it finds feeds regardless if they're linked somewhere or not. That if this feed finder doesn't find a feed, no feed exists.
It's a big goal and admittedly not there yet, but it does a few things that are a step in that direction.
* Checks meta tags of parent pages (sometimes the article itself doesn't have the meta tag, but the main blog page does)
* Checks common suffixes like /rss, /index.xml and many others (sometimes the feed exists but isn't linked)
* Checks the sitemap
* Checks all links on the page
* Checks 3rd party feeds (OpenRSS for now, when I find more such repositories I'll add them too)
There are a couple of additional ideas I have, like checking search engines and crawling the entire domain (highly inefficient, but possible).
Would love if you could try it, and even more if you post sites where it doesn't work.
Writing an OS in Rust (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6eyic
Comments: https://readhacker.news/c/6eyic