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#algorithms

40 posts · Last used 26d

Rolle Laukkarinen @rolle@mementomori.social
· 4mo ago
A tip for users of our experimental instance mementomori.social: You can enable the algorithmic "For you" feed from the top right corner of the Home feed. When you turn it on, it will instantly switch to a ranked feed that prioritizes posts based on who you follow, who you comment on, and what you like or boost. If you also toggle on "Include posts from people you don't follow," you'll see trending content across the Fediverse based on your interests. Unlike Trending tab, For you -feed is personal. The logic is similar to pre-Musk Twitter but user-focused and not corporate-owned. The Trending tab remains unchanged, and /explore shows posts from roughly the past 6-12 hours, with a strong focus on the most recent ones. A post that gets massive engagement might stick around a bit longer, but most cycle out within half a day. Your own For you page changes every time you click the menu, refresh the page, or return. This is ongoing, experimental work. The PR draft and source code are available here: https://github.com/mementomori-social/mastodon/pull/4 #MementoMoriSocial #Mastodon #MastoAdmin #OpenSource #BuildInPublic #Algorithm #AlgorithmicFeed #Algorithms
github.com

Add opt-in ranked home timeline (experimental) by rollecode · Pull Request #4 · mementomori-social/mastodon

Algorithmic home feed as an opt-in experiment. Same idea as Twitter's open sourced ranking pipeline (candidates, score, mix) but stripped to what a single instance actually needs. Chronological...

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Miguel Afonso Caetano 🦾 🌹 @remixtures@tldr.nettime.org
· 1mo ago
"The Commission’s Digital Omnibus in the iteration of the so-called ‘Data Omnibus’ proposes to rewrite Article 22, one of the GDPR’s strongest safeguards against significant decisions taken solely through automated processing. Most strikingly, it would allow automated decision-making to be considered ‘necessary’ for a contract even when the same decision could be taken by a human. That is not a minor technical adjustment. It risks turning a safeguard into an exception: if a company can say that automation is useful or efficient, the question becomes not whether a human could make the decision, but whether the company has a reason to automate it. The timing is difficult to ignore, mind you. While courts and regulators are finally showing why these safeguards matter, Brussels is considering making automated decisions easier to justify in the name of ‘efficiency’. What are we willing to give up in the name of – allegedly - making regulation simpler? If a safeguard is treated as a burden because it makes automated decision-making harder, we should at least ask whose burden we are reducing and who will carry the risk instead." https://euobserver.com/237625/computer-says-no-how-brussels-is-letting-algorithmic-social-scoring-in-by-the-backdoor #AI #EU #EC #SocialScoring #DigitalOmnibus #DataOmnibus #Algorithms
‘Computer says no’: how Brussels is letting algorithmic social-scoring in by the backdoor
euobserver.com

‘Computer says no’: how Brussels is letting algorithmic social-scoring in by the backdoor

Just as European courts and regulators are beginning to expose the consequences of a system of algorithmic social scoring, Brussels, with its Digital Omnibus, is considering weakening key safeguards against such automated decision-making on citizens.

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Stephen Hayes @hayesstw@c.im
· 1mo ago
The debate on social media algorithms seems to be hotting up -- algorithms vs no algorithms? I use, fairly regularly, two plaforms that use algorithms -- Facebook and exTwitter -- and two that don't -- the Fediverse and BlueSky. And I am firmly on the fence. I think some algorithms are OK, and others not. Ones I don't like are those that suppress certain kinds of posts, not because of user preferences, but for perceived financial gain. Example: algorithms that show posts with links to fewer people. Microblogging platforms, like exTwitter and BlueSky, limit the number of characters in a post because one of their main purposes was to show links. A blog is, by definition, a weB LOG, showing web sites visited. Links are their raison d'etre. Penalising posts with links is counterproductive. Some algorithm;s can be mildly annoying. Recently I responded to a post on Facebook about an air crash that took place 50 years earlier, in which some relatives of my wife were killed. For the next few days, every second post on my Facebook feed was about an air crash, in which none of my or my wife's relatives had been killed. Does anyone else have some views about good and bad algorithms regulating display of social media posts, rather than saying they are all good, or dismissing them as all bad? #socialmedia #algorithms
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LarsGoran Bostrom @LaB28@social.vivaldi.net
· 2mo ago
The Three Screens That Made Us Still - An exploration of how television screens, algorithms, and learning machines quietly reshape what it means to be awake https://elearningworld.net/the-three-screens-that-made-us-still/ #tv #algorithms #socialmedia #learning #edtech #AI
The Three Screens That Made Us Still
elearningworld.net

The Three Screens That Made Us Still

An exploration of how television screens, algorithms, and learning machines quietly reshape what it means to be awake

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Robin Evans 🙏 @Robinzz3@aus.social
· 2mo ago
FACEBOOK IS TOXIC. META IS AWFUL. WHY CONTINUE FEEDING IT? 💎 Nearly everyone complains about Facebook and Meta. The algorithms are toxic. The advertising is invasive. The outrage is manufactured. CHILDREN ARE BEING HARMED. Privacy is disappearing. And then millions of people open Facebook or Instagram. Again. And again. I genuinely do not understand it. If you believe these companies are damaging children, manipulating attention, and making billions from human vulnerability, why are you still giving them your presence? Especially the parents. If Facebook and Instagram are unhealthy for your children, what exactly are you modeling by remaining there yourself? “We know this place is harmful, darling, but Mummy and Daddy have photographs to look at.” I left Meta years ago. I didn’t die. My friends did not evaporate. Civilization continued. There is email. There are phones. THERE IS THE OPEN WEB. There is even the terrifying possibility of seeing another human being, god forbid, in person. Meta survives because people who complain about it continue supplying exactly what it needs: Their attention. Their relationships. Their outrage. THEIR CHILDREN. You do not have to wait for Zuckerberg to become a better person. You can simply leave today. The door swings both ways. #Facebook #Meta #Instagram #SocialMedia #Algorithms #BigTech #DigitalWellbeing #OnlineSafety #ChildSafety #Privacy #AttentionEconomy #TechEthics #SocialMediaAddiction #Zuckerberg #DeleteFacebook
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Hacker News @hackernews@robot.villas
· 3mo ago
k-Coloring is Faster than Computing the Chromatic Number https://arxiv.org/abs/2607.25973 #HackerNews #Tech #Algorithms
k-Coloring is Faster than Computing the Chromatic Number
arxiv.org

k-Coloring is Faster than Computing the Chromatic Number

We prove that $k$-coloring on $n$-vertex graphs has a randomized algorithm running in time $(2-\varepsilon_k)^n$, where $\varepsilon_k>0$ for every fixed $k$. Previously, only the cases $k\leq 6$ were known to have faster solutions than the general $O^\star\bigl(2^n\bigr)$ time algorithm of [Björklund, Husfeldt, Koivisto, SICOMP 2009] that computes the chromatic number. In fact, our algorithm solves the more general problem of $k$-list-coloring, even when the overall color palette is of unbounde

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Dr. Anna Latour @anna@mathstodon.xyz
· 3mo ago
My wonderful PhD adviser is hiring! He's searching for a PhD student to work on combining search algorithms and machine learning. He's at the department where I did my MSc research back in the day, and where I had an amazing time. https://www.kuleuven.be/personeel/jobsite/jobs/60705642?lang=en #PhDLife #AcademicMastodon #AcademicChatter #GetFediHired #Belgium #MachineLearning #ComputerScience #Algorithms #Optimization
kuleuven.be

Jobsite

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FinchHaven hachy @FinchHaven@hachyderm.io
· 3mo ago
Replying to
@spacebug@infosec.exchange "spacebug joined infosec . exchange on Jul 20, 2026" You're new here You have a lot to learn, to put it mildly How many #Hashtags do you follow? How many #Filters have you set up? Those are *your* #Algorithms...
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Jim Garrett @JimG@toot.cat
· 3mo ago
I've just made arrangements to get a Cala heat-pump water heater thermal battery installed: https://www.calasystems.com/ We also looked at: https://www.reservoirhome.com/ This looks good too and I would be happy with either. Cala is made in the US and is already supported by Home Assistant Free/Libre/Open-source home automation software: https://www.home-assistant.io/ I refer to these as "thermal batteries" because they allow you to use energy at the time of your choosing, and use it later. This will be the first time I've had the option to choose how much electricity I'm using, and when. (Other than setting my electric car's charging time and level.) Both Reservoir and Cala come with adaptive control algorithms that learn your usage patterns. This is potentially *very useful* for a heat-pump water heater, because heat pumps heat water slowly but efficiently. Predictive/adaptive planning can minimize relying on backup electric resistance heating. A grand(iose) idea: getting Embedded Common Lisp (ECL) running on a Raspbery Pi running Home Assistant to predict need for hot water, car charging, and home heating. I'm imagining fitting single-hidden-layer quantile neural nets (to predict the median and, say, 10% and 90% quantiles, useful for planning purposes) using SPSA: https://www.jhuapl.edu/spsa/ I imagine a modest processor could chew on the fitting for a while, using little memory, and come up with something pretty good. It would be awesome if a small processor running Home Assistant could do this on its own. Totally scratching an itch rather than fulfilling a real need, except that (I think) most existing algorithms are proprietary. E.g., Kraken: https://www.kraken.tech/residential-flexibility #algorithms #AI #homeassistant #thermalbatteries
calasystems.com

Intelligent Heat Pump Water Heater | Cala Systems

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silverpill @silverpill@mitra.social
· 3mo ago
Replying to
@greyarea@mitra.vpclmulqdq.moe I added HPKE algorithm parameters to the FEP: https://codeberg.org/silverpill/feps/src/branch/main/0806/fep-0806.md#algorithms KEM: DHKEM(X25519, HKDF-SHA256) AEAD: ChaCha20Poly1305 KDF: HKDF-SHA256 "info" string: fep-0806-info "aad" string: fep-0806-aad Does it look right? KEM/AEAD/KDF choices are not my preferences, I just copied them from another HPKE+ed25519 implementation.
codeberg.org

Cookie monster!

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Rafael Pérez 🍁 @rperezrosario@mastodon.social
· 3mo ago
Google IDX Product Manager Kirupa Chinnathambi writes a code-backed, step-by-step review of Dijkstra's famous graph algorithm, depth, and breadth first search, touching up on Bellman-Ford and A*. This reminded me of a uni assignment where we recommended shortest path routes to passengers based on geo data from London Tube stations, using A* to compute them. "Dijkstra's Shortest Path Algorithm" #algorithms #datastructures #graphs #dfs #bfs #dijkstra #astar #compsci #javascript #programming
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