An exabyte of disk storage at CERN
8 by kakokeko | 0 comments on Hacker News.
Saturday, September 30, 2023
Vivienne Westwood's own wardrobe part of new runway collection in Paris
Clothes Vivienne Westwood wore and made over 30 years feature on her widower's catwalk in Paris.
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Friday, September 29, 2023
Sycamore Gap: Man in his 60s held after Hadrian's Wall tree cut down
Police make a second arrest over the cutting-down of the world-famous Hadrian's Wall tree.
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Thursday, September 28, 2023
Women found in lorry in France face deportation
Six women were rescued from a lorry on Wednesday after a BBC journalist helped alert French police.
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Wednesday, September 27, 2023
'Drug consumption room will cut terrible amount of deaths'
Hugh shows the BBC where he goes to use drugs as the UK's first consumption room was approved.
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New top story on Hacker News: Show HN: Using LLMs and Embeddings to classify application errors
Show HN: Using LLMs and Embeddings to classify application errors
21 by vadman97 | 0 comments on Hacker News.
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different stacktrace and body, but are semantically not very different). Each of these rely heavily on comparing text across our application. After some experimentation with the OpenAI embeddings API [3], we went ahead and hosted a private model instance of thenlper/gte-large (an open-source MIT licensed model), which is a 1024-dimension model running on an Intel Ice Lake 2 vCPU machine on Hugging face [4]. Our general approach for classifying/comparing text is as follows. As each set of tokens (i.e a string) comes in, our backend makes a request to an inference endpoint and receives a 1024-dimension float vector as a response (see the code here [5]). We then store that vector using pgvector [6]. To compare any two sets for similarity, we simply look at the Euclidian distance between their respective embeddings using the ivfflat index implemented by pgvector (example code here [7]). To tag errors, we assign an error its most relevant tag from a predetermined set decided by us. For example, if we tag an error as an "authentication error" or a "database error", we can allow developers to have a starting point before inspecting an issue.(see the logic here [8]). Anecdotally, this approach seems to work very well. For example, here are two authentication errors that got tagged as “Authentication Error”: * Firebase: A network AuthError has occurred * Error retrieving user from firebase api for email verification: cannot find user from uid. We also use these error embeddings to group similar errors. To decide whether an error joins a group or starts a new one, we decide on a distance threshold (using the euclidean distance) ahead of time. An interesting thing about this approach, compared to using a text-based heuristic, is that two errors with different stack traces can still be grouped together. Here’s an example: * github.com/highlight-run/highlight/backend/worker.(*Worker).ReportStripeUsage * github.com/highlight-run/highlight/backend/private-graph/graph.(*Resolver).GetSlackChannelsFromSlack.func1 Both reported as `integration api error` as they involve the Stripe and Slack integrations respectively. The neat thing is that the LLM can use the full context of an error and match based on the most relevant details about the error. We have rolled out a first version of the error grouping logic to our cloud product [9], and there’s a demo of all the functionality at [2]. Long-term, if the HN community has other ideas of what we could build with LLM tooling in observability, we’re all ears. Let us know what you think! Links [1] https://ift.tt/yhKot93 [2] https://ift.tt/DaYezyN [3] https://ift.tt/filzenq [4] https://ift.tt/EJMcjDm [5] https://ift.tt/ZpG0Ajq... [6] https://ift.tt/s8h0lF2... [7] https://ift.tt/GAhTiHc... [8] https://ift.tt/TduK0OB... [9] https://ift.tt/bJBTMHA
21 by vadman97 | 0 comments on Hacker News.
Hi Hacker News! We’re Vadim and Chris from Highlight.io [1]. We do web app monitoring and are working on using LLMs/embeddings to add new functionality to our error monitoring product. Given that there’s a lot of founders/engineers using LLMs in their products, we figured we’d share how we built the new functionality, their impact on our workflows, and how you can try it out. Our goal was to build two features: (1) tagging errors (e.g. deeming an error as “authentication error” or a “database error”); and (2) grouping similar errors together (e.g. two errors that have a different stacktrace and body, but are semantically not very different). Each of these rely heavily on comparing text across our application. After some experimentation with the OpenAI embeddings API [3], we went ahead and hosted a private model instance of thenlper/gte-large (an open-source MIT licensed model), which is a 1024-dimension model running on an Intel Ice Lake 2 vCPU machine on Hugging face [4]. Our general approach for classifying/comparing text is as follows. As each set of tokens (i.e a string) comes in, our backend makes a request to an inference endpoint and receives a 1024-dimension float vector as a response (see the code here [5]). We then store that vector using pgvector [6]. To compare any two sets for similarity, we simply look at the Euclidian distance between their respective embeddings using the ivfflat index implemented by pgvector (example code here [7]). To tag errors, we assign an error its most relevant tag from a predetermined set decided by us. For example, if we tag an error as an "authentication error" or a "database error", we can allow developers to have a starting point before inspecting an issue.(see the logic here [8]). Anecdotally, this approach seems to work very well. For example, here are two authentication errors that got tagged as “Authentication Error”: * Firebase: A network AuthError has occurred * Error retrieving user from firebase api for email verification: cannot find user from uid. We also use these error embeddings to group similar errors. To decide whether an error joins a group or starts a new one, we decide on a distance threshold (using the euclidean distance) ahead of time. An interesting thing about this approach, compared to using a text-based heuristic, is that two errors with different stack traces can still be grouped together. Here’s an example: * github.com/highlight-run/highlight/backend/worker.(*Worker).ReportStripeUsage * github.com/highlight-run/highlight/backend/private-graph/graph.(*Resolver).GetSlackChannelsFromSlack.func1 Both reported as `integration api error` as they involve the Stripe and Slack integrations respectively. The neat thing is that the LLM can use the full context of an error and match based on the most relevant details about the error. We have rolled out a first version of the error grouping logic to our cloud product [9], and there’s a demo of all the functionality at [2]. Long-term, if the HN community has other ideas of what we could build with LLM tooling in observability, we’re all ears. Let us know what you think! Links [1] https://ift.tt/yhKot93 [2] https://ift.tt/DaYezyN [3] https://ift.tt/filzenq [4] https://ift.tt/EJMcjDm [5] https://ift.tt/ZpG0Ajq... [6] https://ift.tt/s8h0lF2... [7] https://ift.tt/GAhTiHc... [8] https://ift.tt/TduK0OB... [9] https://ift.tt/bJBTMHA
Tony Harrison: Family of murdered paratrooper launches legal challenge over legacy act
Private Tony Harrison, 21, was killed in 1991 in east Belfast while he was at home with his fiancée.
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Nagorno-Karabakh: Armenians rush to help ‘brothers and sisters’
Every hour, the number of people fleeing Nagorno-Karabakh climbs even further.
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Tuesday, September 26, 2023
New top story on Hacker News: Ask HN: Tips for Solopreneur?
Ask HN: Tips for Solopreneur?
57 by solo_prono | 15 comments on Hacker News.
Yo HN! I have been working on some design tools in my spare time to solve problems I've faced over and over, and I'm thinking about monetizing them. I've been to some conferences recently and talked to a lot of people who have these problems as well, and they're keen to try it out. I have collected some emails, been communicating with them a bit and even got beers with one of them recently! Here's my list of concerns: 1. It is just me - is that a red flag? Some people have asked me about my team and I told them it was just me. I got the feeling that it may have turned them off because the conversation kind of ended right there. To be fair, after that I did say that it is just me right now BUTTTTTTTT why that is okay due to my experience and work history. However, yes it is my first time doing a business. 2. How do I set appropriate milestones for me to reach? Do I think about reaching 100 customers before reaching 5 recurring customers for example? 3. I'm in a small town in PNW. Does that matter if this will be an online thing anyway? Why or when do people move to big cities like Seattle/SF/NYC/Austin etc. 4. What are some ways to do marketing? Should I even think about that before I have a few customers who are using my product consistently? 5. I've been inspired by the Startup School videos. Honestly though I'm not sure about fundraising and all these things, it seems very intimidating to me. What's the difference between those things and starting a company and slowly building it up?
57 by solo_prono | 15 comments on Hacker News.
Yo HN! I have been working on some design tools in my spare time to solve problems I've faced over and over, and I'm thinking about monetizing them. I've been to some conferences recently and talked to a lot of people who have these problems as well, and they're keen to try it out. I have collected some emails, been communicating with them a bit and even got beers with one of them recently! Here's my list of concerns: 1. It is just me - is that a red flag? Some people have asked me about my team and I told them it was just me. I got the feeling that it may have turned them off because the conversation kind of ended right there. To be fair, after that I did say that it is just me right now BUTTTTTTTT why that is okay due to my experience and work history. However, yes it is my first time doing a business. 2. How do I set appropriate milestones for me to reach? Do I think about reaching 100 customers before reaching 5 recurring customers for example? 3. I'm in a small town in PNW. Does that matter if this will be an online thing anyway? Why or when do people move to big cities like Seattle/SF/NYC/Austin etc. 4. What are some ways to do marketing? Should I even think about that before I have a few customers who are using my product consistently? 5. I've been inspired by the Startup School videos. Honestly though I'm not sure about fundraising and all these things, it seems very intimidating to me. What's the difference between those things and starting a company and slowly building it up?
Eyerolls and groans from UAW strikers at Biden and Trump visits
Mr Biden joins striking workers in Michigan, telling them they "deserve" wage raises and concessions.
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Monday, September 25, 2023
Over 340 first responders have died from 9/11 illnesses
As many have now died from complications as died in the attacks, the Fire Department of New York says.
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Sunday, September 24, 2023
Niger coup: Macron says France to withdraw troops and ambassador
French president says ambassador will leave and all military cooperation will end in "the months to come".
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Asteroid Bennu: Why the return of samples are so important... in 83 seconds
It is hoped the material from Bennu could tell Nasa how life on Earth began.
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Saturday, September 23, 2023
Friday, September 22, 2023
Police left man barefoot outside Iceland before hit-and-run death
Gareth Roper was killed after being dropped outside an Iceland store with no money or mobile phone.
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Russian TV teases launch of Tucker Carlson show
The ex-Fox News anchor appears in a trailer on state-run Rossiya 24 but exact details are not clear.
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Thursday, September 21, 2023
King Charles impresses Paris while the rest of France shrugs
The BBC's Hugh Schofield finds the French public not as interested in the royal visit as parliamentarians.
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Wednesday, September 20, 2023
New top story on Hacker News: Show HN: Mana Pool – Market for Magic Cards
Show HN: Mana Pool – Market for Magic Cards
11 by andrewljohnson | 5 comments on Hacker News.
Hi folks. I launched my first startup on HN 15 years ago (see my profile), and I wanted to post here again now. Like my last one, this project comes from one of my life's passions. I have played Magic: The Gathering for 30 years. My co-founders and I think Magic deserves its own market, and this thinking will lead to dozens of ways to make a great app. We consider what we have an MVP, and we are all going to MagicCon this weekend in Las Vegas to walk around in our Mana Pool shirts and talk to people about the future. If HN likes the site, I would appreciate you crashing it before we head out tomorrow night! https://manapool.com/
11 by andrewljohnson | 5 comments on Hacker News.
Hi folks. I launched my first startup on HN 15 years ago (see my profile), and I wanted to post here again now. Like my last one, this project comes from one of my life's passions. I have played Magic: The Gathering for 30 years. My co-founders and I think Magic deserves its own market, and this thinking will lead to dozens of ways to make a great app. We consider what we have an MVP, and we are all going to MagicCon this weekend in Las Vegas to walk around in our Mana Pool shirts and talk to people about the future. If HN likes the site, I would appreciate you crashing it before we head out tomorrow night! https://manapool.com/
UK interest rate rise bets slashed after inflation fall
Interest rates were widely expected to rise to 5.5%, but half of investors now think they may not change.
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In Pictures: King Charles and Queen Camilla visit France
The couple are on a three-day visit, with a state dinner among the highlights of the first day.
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Tuesday, September 19, 2023
Diane Abbott attacks Labour investigation as 'fraudulent'
The MP has been suspended from the party pending an inquiry into comments she made about racism.
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Raac: Keegan says some pupils prefer temporary classrooms
Another 27 educational settings in England are now known to be affected by crumbling concrete.
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Why do rape and sexual assault victims find it hard to go straight to police?
Victim-blaming culture and a lack of confidence in the police can deter victims from speaking out.
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Azerbaijan launches operation against Nagorno-Karabakh and demands surrender
Baku says the operation against its ethnic-Armenian enclave will stop only if it sees a white flag.
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Monday, September 18, 2023
India could be behind killing of Canadian Sikh - Trudeau
Hardeep Singh Nijjar was shot dead outside of a Sikh temple on 18 June in British Columbia.
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Roger Whittaker: Durham Town folk singer dies at 87
The folk singer, famous for his whistling, singing and guitar playing, dies in France.
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Sunday, September 17, 2023
Ronnie MacKinnon: Former Rangers and Scotland centre-half dies at 83
Former Rangers and Scotland defender Ronnie MacKinnon passes away at the age of 83.
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Saturday, September 16, 2023
The Libyan city that's become a barren wasteland with a smell of death
With lives in Libya washed away, anger mounts as people ask why they were told to stay at home.
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Rugby World Cup: Wales fans treat Nice to hymn in flash mob
A flash mob of fans sing Calon Lan on the street in Nice ahead of Wales clash with Portugal.
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Friday, September 15, 2023
The Rubiales World Cup kiss row... in 87 seconds
Spain's Women's World Cup success has been overshadowed by the actions of Luis Rubiales during celebrations.
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Marks & Spencer scraps plastic for paper bags
Marks & Spencer said the move should cut plastics use.
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Thursday, September 14, 2023
Watch: 102-year-old abseils down 280ft hospital
A former RAF bomber pilot abseils down the Royal London Hospital for charity.
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Astronomy Photographer of the Year: See the winning images
Winning images of the amazing parts of our Universe go on display in London.
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Greenland cruise ship pulled free after three days stuck in mud
The Ocean Explorer with 206 people on board had been stuck since Monday, with some catching Covid.
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Diana's jumper fetches more than $1m at auction
The jumper caused a stir - and speculation about the black sheep's symbolism - before her 1981 wedding.
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Wednesday, September 13, 2023
Sara Sharif: Three relatives arrested over her murder
The father, stepmother and uncle of Sara Sharif, 10, are arrested after returning to UK from Pakistan.
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New top story on Hacker News: Show HN: Lantern – a PostgreSQL vector database for building AI applications
Show HN: Lantern – a PostgreSQL vector database for building AI applications
16 by ngalstyan4 | 4 comments on Hacker News.
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://ift.tt/ZbkWoOR We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding (Neon) on all of these metrics. ** Here’s what we support today ** - Creating an AI application end to end without leaving your database (example: https://ift.tt/WPwLaoe... ) - Embedding generation for popular use cases (CLIP model, Hugging Face models, custom model) - Interoperability with pgvector's data type, so anyone using pgvector can switch to Lantern - Parallel index creation capabilities -- Support for creating the index outside of the database and inside another instance allows you to create an index without interrupting database workflows. ** Here’s what’s coming soon ** - Cloud-hosted version of Lantern - Templates and guides for building applications for different industries - Tools for generating embeddings (support for third party model API's, more local models) - Support for version control and A/B test embeddings - Autotuned index type that will choose appropriate index creation parameters - 1 byte and 2 byte vector elements, and up to 8000 dimensional vectors support ** Why we started Lantern today ** There's dozens of vector databases on the market, but no enterprise option built on top of PostgreSQL. We think it's super important to build on top of PostgreSQL - Developers know how to use PostgreSQL. - Companies already store their data on PostgreSQL. - Standalone vector databases have to rebuild all of what PostgreSQL has built for the past 30-years, including all of the optimizations on how to best store and access data. We are open source and excited to have community contributors! Looking forward to hearing your feedback!
16 by ngalstyan4 | 4 comments on Hacker News.
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://ift.tt/ZbkWoOR We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding (Neon) on all of these metrics. ** Here’s what we support today ** - Creating an AI application end to end without leaving your database (example: https://ift.tt/WPwLaoe... ) - Embedding generation for popular use cases (CLIP model, Hugging Face models, custom model) - Interoperability with pgvector's data type, so anyone using pgvector can switch to Lantern - Parallel index creation capabilities -- Support for creating the index outside of the database and inside another instance allows you to create an index without interrupting database workflows. ** Here’s what’s coming soon ** - Cloud-hosted version of Lantern - Templates and guides for building applications for different industries - Tools for generating embeddings (support for third party model API's, more local models) - Support for version control and A/B test embeddings - Autotuned index type that will choose appropriate index creation parameters - 1 byte and 2 byte vector elements, and up to 8000 dimensional vectors support ** Why we started Lantern today ** There's dozens of vector databases on the market, but no enterprise option built on top of PostgreSQL. We think it's super important to build on top of PostgreSQL - Developers know how to use PostgreSQL. - Companies already store their data on PostgreSQL. - Standalone vector databases have to rebuild all of what PostgreSQL has built for the past 30-years, including all of the optimizations on how to best store and access data. We are open source and excited to have community contributors! Looking forward to hearing your feedback!
Government defeated over axing pollution rules
Labour leads a Lords rebellion on removing restrictions on water pollution to build new homes.
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Tuesday, September 12, 2023
Labour set to vote against scrapping home building pollution rules
The party is preparing to vote against the government plan aimed at boosting housebuilding.
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Apple forced to ditch lightning charger in new iPhone
Apple confirms new iPhone 15 will have a common USB-C charging port after EU forces it into the change.
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Monday, September 11, 2023
Man charged after military truck 'driven at police'
Geoff Marshall, 41, faces multiple charges including dangerous driving and criminal damage.
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New top story on Hacker News: Show HN: Loopy – share and find and music you love
Show HN: Loopy – share and find and music you love
8 by kylel95 | 0 comments on Hacker News.
Hi, I created loopy, a website to share and discover music you love. A former coworker answered an ice breaker question saying his superpower would be to know every language fluently since he travels a lot. Mine would be to hear every song I would fall in love with. I realized that I will die without hearing every song that I will fall in love with. So many of my all-time favorite songs I randomly have heard at a club, coffee shop, traveling, walking by a store, etc. There is a high chance that I would have never heard those songs. Loopy aims to fix this. You can post your all-time favorite songs. If someone else love this song, there is a chance you will too :). Here is my profile: https://loopy.fm/kyle Happy listening :) - Kyle
8 by kylel95 | 0 comments on Hacker News.
Hi, I created loopy, a website to share and discover music you love. A former coworker answered an ice breaker question saying his superpower would be to know every language fluently since he travels a lot. Mine would be to hear every song I would fall in love with. I realized that I will die without hearing every song that I will fall in love with. So many of my all-time favorite songs I randomly have heard at a club, coffee shop, traveling, walking by a store, etc. There is a high chance that I would have never heard those songs. Loopy aims to fix this. You can post your all-time favorite songs. If someone else love this song, there is a chance you will too :). Here is my profile: https://loopy.fm/kyle Happy listening :) - Kyle
Hundreds of schools in England checked for Raac, say education chiefs
Officials say a small percentage missed Friday's deadline to return questionnaires on the concrete.
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Sunday, September 10, 2023
New top story on Hacker News: Show HN: Erlmacs – a script to update your .emacs file for Erlang development
Show HN: Erlmacs – a script to update your .emacs file for Erlang development
5 by dlachausse | 0 comments on Hacker News.
erlmacs automatically configures and updates your .emacs file with support for the emacs mode that is included with Erlang/OTP. It frees you from having to locate the installation directory of Erlang/OTP and its bundled emacs mode. It is an escript that only depends upon Erlang/OTP and Emacs. Note: There is not much in the way of error checking at this moment, but it does make a backup of your .emacs files before any destructive operations.
5 by dlachausse | 0 comments on Hacker News.
erlmacs automatically configures and updates your .emacs file with support for the emacs mode that is included with Erlang/OTP. It frees you from having to locate the installation directory of Erlang/OTP and its bundled emacs mode. It is an escript that only depends upon Erlang/OTP and Emacs. Note: There is not much in the way of error checking at this moment, but it does make a backup of your .emacs files before any destructive operations.
Inmate stabbed at HMP Wandsworth - Met Police
The incident comes as the prison is facing scrutiny over the escape of terror suspect Daniel Khalife.
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Livingstone-inspired England beat NZ to level series
Liam Livingstone's 95 sets up a series-levelling victory for England against New Zealand in Southampton.
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Saturday, September 9, 2023
Jagtar Singh Johal: Sunak raises the detention of Scot with Indian PM
Scottish campaigner for Sikh rights Jagtar Singh Johal has been held by the Indian authorities since 2017.
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Friday, September 8, 2023
Channel 4 to put Hollyoaks episodes on YouTube for first time
Episodes of the show will appear online a week after being broadcast on E4, the network confirmed.
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Thursday, September 7, 2023
Judge to sentence actor Danny Masterson to prison for two rapes
The star of That '70s Show will learn his punishment after victim impact statements are read in court.
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Wednesday, September 6, 2023
Freddie Mercury: Queen star's piano and other items sold at Sotheby's
Thousands of personal items belonging to the late Queen frontman are sold at a Sotheby's auction.
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Experts warn RAAC concrete affects thousands of buildings
Tens of thousands of UK buildings should be safety checked because of RAAC concrete, experts warn.
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Tuesday, September 5, 2023
In Pictures: Stars hit the red carpet at National TV Awards
Famous faces of the small screen hit the red carpet in the London sunshine ahead of the ceremony.
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Jill Biden: US first lady tests positive for Covid-19
She is experiencing mild symptoms, the White House says, while President Joe Biden tested negative.
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Monday, September 4, 2023
Watch: Gavin Williamson apologises over bullying
The former cabinet minister says he regrets using inappropriate language in texts sent to Wendy Morton.
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Matthew Hedges: Foreign Office apology to UAE torture academic
Matthew Hedges' ordeal sparks a review into internal guidance on torture and mistreatment cases.
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Sewage: Mum says daughter got E. coli after swimming in polluted sea
Jayne Etherington said her daughter Caitlin fell ill after swimming in the sea off the Welsh coast.
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Sunday, September 3, 2023
Torrential rain in Spain causes major flooding
Atletico Madrid and Seville's football match was called off as a red alert was issued in the capital.
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Cambridgeshire: Dolphin dies after inland rescue effort
The distressed animal was put down after a rescue attempt was unsuccessful.
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Saturday, September 2, 2023
Spanish club hope to help Mason Greenwood find 'best level'
Getafe manager Jose Bordalas says the Spanish club are going to help England forward Mason Greenwood "recover his best level" after his season-long loan move from Manchester United.
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PSNI data breach: Two men arrested under the Terrorism Act
Two men in their 20s have been arrested under the Terrorism Act in connection with the accidental leak.
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New top story on Hacker News: Show HN: Modular Diffusion – A modular Python library for diffusion models
Show HN: Modular Diffusion – A modular Python library for diffusion models
6 by secularchapel | 0 comments on Hacker News.
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available. Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible). I would really appreciate your feedback.
6 by secularchapel | 0 comments on Hacker News.
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available. Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible). I would really appreciate your feedback.
Gboyega Odubanjo: Family raise £40,000 in memory of 'beloved' poet
The money will be used to create a foundation for low-income black writers.
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Friday, September 1, 2023
Steve Lamacq to scale back BBC Radio 6 Music show
The DJ scales back his afternoon shows from five days a week to one, saying he's "a bit knackered".
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New top story on Hacker News: Show HN: An Immersive Game of Thrones Multiverse Experience
Show HN: An Immersive Game of Thrones Multiverse Experience
4 by thronesMultiV | 0 comments on Hacker News.
Alpha Version Demo: https://ift.tt/Dpkv60q Twitter: https://twitter.com/ThronesMultiV/status/1697440568874348953 We're here to present an experimental product empowered by the blend of Stable Diffusion and ChatGPT! Dive into Westeros like never before. Our experimental product offers an immersive storytelling experience where you play a pivotal role in shaping the narrative. Ever wondered if the ending of the final seasons of Game of Thrones could've been different? Now's your chance to twist the tale. Current Features : - AI-driven alternative endings starting from the end of S7. - Real-time story interventions, allowing you to change the plotline as you read. What's Next : - Continuous enhancements to refine and polish the storytelling experience. - And yes, we're contemplating open-sourcing the project – giving back to this amazing community and encouraging further innovation. We truly believe in the power of collaboration. If you have feedback, suggestions, or just want to geek out about Westeros, shoot us an email at ready2play.contact@gmail.com ! Additionally, if you're as passionate about AI and storytelling as we are, we'd love for you to collaborate with us on this exciting project. Remember, winter is coming, but with AI, the possibilities are endless. Stay excited and stay kind! Valar Morghulis!
4 by thronesMultiV | 0 comments on Hacker News.
Alpha Version Demo: https://ift.tt/Dpkv60q Twitter: https://twitter.com/ThronesMultiV/status/1697440568874348953 We're here to present an experimental product empowered by the blend of Stable Diffusion and ChatGPT! Dive into Westeros like never before. Our experimental product offers an immersive storytelling experience where you play a pivotal role in shaping the narrative. Ever wondered if the ending of the final seasons of Game of Thrones could've been different? Now's your chance to twist the tale. Current Features : - AI-driven alternative endings starting from the end of S7. - Real-time story interventions, allowing you to change the plotline as you read. What's Next : - Continuous enhancements to refine and polish the storytelling experience. - And yes, we're contemplating open-sourcing the project – giving back to this amazing community and encouraging further innovation. We truly believe in the power of collaboration. If you have feedback, suggestions, or just want to geek out about Westeros, shoot us an email at ready2play.contact@gmail.com ! Additionally, if you're as passionate about AI and storytelling as we are, we'd love for you to collaborate with us on this exciting project. Remember, winter is coming, but with AI, the possibilities are endless. Stay excited and stay kind! Valar Morghulis!