@Techmeme@techhub.socialBaidu plans to open-source its Ernie LLM on June 30; some say this could cement China's AI leadership, while others doubt it will be a "DeepSeek moment" (Kevin Williams/CNBC)
https://www.cnbc.com/2025/06/29/china-bigg
@newsie@darktundra.xyzNorth Korean hackers target open-source repositories in new espionage campaign https://therecord.media/north-korean-hackers-targeting-open-source-repositories
@heiseonline@social.heise.de
@rmdes@mstdn.social
@arXiv_csSE_bot@mastoxiv.pagePredicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
Yiming Xu, Runzhi He, Hengzhi Ye, Minghui Zhou, Huaimin Wang
https://arxiv.org/abs/2507.21678 …
@digitalnaiv@mastodon.socialDie Abhängigkeit von US-Konzernen kostet Europa Milliarden – und gefährdet die digitale Souveränität. Open Source-Lösungen werden zur echten Alternative, wie das Beispiel OpenDesk zeigt. Unser Gespräch mit Alex Smolianitski vom @… bei #9vor9.
@ErikJonker@mastodon.socialGoogle is quite agressive with Gemini CLI , offering 1000 free Gemini 2.5 Pro requests per day for individual users. Essentially trying to push Anthropic and OpenAI away.
https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-age…
@arXiv_csRO_bot@mastoxiv.pageArk: An Open-source Python-based Framework for Robot Learning
Magnus Dierking, Christopher E. Mower, Sarthak Das, Huang Helong, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Huang Guowei, Jan Peters, Quan Xingyue, Jun Wang, Haitham Bou-Ammar
https://arxiv.org/abs/2506.21628
@anildash@me.dmHas anybody made a Mac app yet (or an open source script) that lets a Mac emulate being a Switch 2 dock?
@kubikpixel@chaos.social»#OpenSource-Dilemma auch in der EU – Viele sehen #Vorteil'e, zu wenige tragen bei:
Viele #EU-Organisationen sehen die Vorteile von Open-Source
@tante@tldr.nettime.orgThis comes down to the cyberlibertarian roots of most digital movements (thing Archive.org, EFF, EDRI etc.): To them "open" is a value in itself and any political values are read as "restrictions" or "regulation" or "lack of freedom".
https://indieweb.social/@jaredw…
@cyrevolt@mastodon.socialSo people are still fudding against open source.
(FUD = Fear, Uncertainty & Doubt)
All of this applies to closed source as well (or even worse):
https://www.xda-developers.com/drawbacks-open-source-software/
Let me make that clear:
The sole…
@muz4now@mastodon.worldDesigner Meg Lewis on separating who you're told to be from who you really are – The Creative Independent https://thecreat…
@anneroth@systemli.social
@unchartedworlds@scicomm.xyzWhat happens when you don't vet sign-ups is that mods on other instances who value the safety of their users have to pick up your slack.
The extensive work illustrated in the linked post (from @…) is also taking place to varying degrees on every other instance which still federates with mastodon.social and the other open-sign-up ones.
This is like house-sharing with someone who repeatedly leaves the front door unlocked.
Yes of course there are much horribler instances, but those tend to be blocked wholesale in my part of Fedi. Among the instances we do federate with, the spam & scam accounts I see are nearly always on m.s.
If mastodon.social mods (who apparently are paid!) were to make people introduce themselves before approving new accounts, then a lot of this spam wouldn't be getting in the door. Quash once at source, save multiple other people from having to repeat the same work.
I appreciate that they're trying to make it easy for newcomers to join, but at what cost? And is an intro message really beyond the typical non-techie person? I think there are some considerably higher barriers to adoption than that. Not convinced it's a good tradeoff.
I don't actually want this instance to defederate from m.s, because lots of the people I follow are on there. But I can really see why people sometimes do.
#FediMeta #moderation #OpenSignups
@Techmeme@techhub.socialMark Zuckerberg says "We'll need to be rigorous about mitigating" new risks posed by superintelligence and "careful about what we choose to open source" (Michael Kan/PCMag)
https://www.pcmag.com/news/zuckerberg-walks-back-open…
@cosmos4u@scicomm.xyzGollumFit - An #IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses: https://arxiv.org/abs/2506.04491 -> An open-source software for neutrino telescope analyses: https://icecube.wisc.edu/news/research/2025/07/gollumfit-an-open-source-software-for-neutrino-telescope-analyses/
@jorgecandeias@mastodon.socialEm Portugal, provavelmente, também vamos ter de começar pela administração local.
Talvez seja algo que valha a pena pôr na agenda agora em algumas das corridas autšrquicas.
https://mastodon.cloud/@OpenForumEurope/114936538200485234
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@yaxu@post.lurk.orgAlgorave : la teuf en open source | Tracks | ARTE https://www.youtube.com/watch?v=Crz6R4p_owI
@selea@social.linux.pizzaI hate the state of real time chats today.
On one side - we have the mainstream crap that gobbles up information like a vaccum, and also fosters toxic behavior.
On the other side - broken open source implementations that does not really work as it should
@cybertailor@craba.cabЯ знала, что #Hetzner - контора пидарасов, но чтобы настолько...
История такая. Я нашла интересный поисковик https://searchmysite.net и захотела добавить в него свой личный веб-сайт, но получила ошибку: "…
@penguin42@mastodon.org.ukAlas I've just ordered a WIFI enabled, AI washing machine; and the copyright doesn't even include CURL; I thought the 5 year warranty would enable be to ask @… for advice on getting my clothes cleaner.
Still, it seems to have everything else, NuttX and contiki low power OSs (neither of which I've come across), Uboot, wpa_supplicant, cJSON, FatFS
@arXiv_csCL_bot@mastoxiv.pageLeveraging Open-Source Large Language Models for Clinical Information Extraction in Resource-Constrained Settings
Luc Builtjes, Joeran Bosma, Mathias Prokop, Bram van Ginneken, Alessa Hering
https://arxiv.org/abs/2507.20859
@datascience@genomic.social
@tiotasram@kolektiva.socialJust read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.
@crell@phpc.social
@ripienaar@devco.socialhttps://opensourcesecurity.io/2025/08-oss-one-person/
Great article.
@arXiv_csCR_bot@mastoxiv.pageAn Open-source Implementation and Security Analysis of Triad's TEE Trusted Time Protocol
Matthieu Bettinger, Sonia Ben Mokhtar, Anthony Simonet-Boulogne
https://arxiv.org/abs/2507.20851
@arXiv_csSE_bot@mastoxiv.pageEthical Classification of Non-Coding Contributions in Open-Source Projects via Large Language Models
Sergio Cobos, Javier Luis C\'anovas Izquierdo
https://arxiv.org/abs/2507.21583
@jonippolito@digipres.club"They’re unknowingly becoming the bad guys”: AI-powered bounty hunters think they’re helping, but their fabricated bug reports are overwhelming solo maintainers like cURL’s Daniel Stenberg—who’s paid $92K for real flaws and now may scrap the program.
https://www.
@arXiv_csIR_bot@mastoxiv.pageUiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika {\L}ajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog
https://arxiv.org/abs/2506.22210
@theodric@social.linux.pizzaAwesome to see more rifts and schisms forming in open source. Fragmentation is our greatest strength. Anyway I'm gonna go buy some MSFT and AAPL stock
@arXiv_csCV_bot@mastoxiv.pageZero-Shot Image Anomaly Detection Using Generative Foundation Models
Lemar Abdi, Amaan Valiuddin, Francisco Caetano, Christiaan Viviers, Fons van der Sommen
https://arxiv.org/abs/2507.22692
@trezzer@social.linux.pizzaAn open-source Bluetooth speaker that is fully user serviceable and easily repairable. Yay. https://hackaday.com/2025/07/24/teufel-introduces-an-open-source-bluetooth-speaker/
@heiseonline@social.heise.deNoch einige der zuletzt hier besonders häufig geteilten #News:
Open Source: Schleswig-Holstein rollt Videokonferenzlösung "OpenTalk" aus
@gedankenstuecke@scholar.social«Komoot’s core tech of Leaflet map, Graphhopper routing engine, and #OpenStreetMap data are all free, open-source projects. This is in addition to all the open-source web servers, databases, and operating systems that tech companies build upon. They leech off the open-source commons»
I'm convinced that this is one of the big reasons why we need some form of @… sooner rather than later, to ensure our commons can be saved from corp capture.
@mia@hcommons.socialIf you swap out 'company' for 'open source community' you might have a good image for OSS UX work! https://mastodon.cloud/@designthinkingcomic/114935728048502199
@arXiv_quantph_bot@mastoxiv.pageDEQSE Quantum IDE Extension: Integrated Tool for Quantum Software Engineering
Majid Haghparast, Ronja Heikkinen, Samuel Ovaskainen, Julian Fuchs, Jussi P P Jokinen, Tommi Mikkonen
https://arxiv.org/abs/2507.22843
@piger@mastodon.socialme: I wonder if there's an open source alternative
internet: npm install -g open-source-alternative
me: *groan*
@EarthOrgUK@mastodon.energy
@toooobeeee@social.linux.pizza @ErikJonker@mastodon.social
@lightweight@mastodon.nzoss.nz'Beneath the surface of external dominance lies an “invisible” European strength: a long-standing presence in open-source software (OSS) and open standards that form the backbone of critical digital infrastructures. From Linux and Python to core internet protocols, Europe has made significant
contributions to open source initiatives.'
3/n
@arXiv_csAR_bot@mastoxiv.pageAxOSyn: An Open-source Framework for Synthesizing Novel Approximate Arithmetic Operators
Siva Satyendra Sahoo, Salim Ullah, Akash Kumar
https://arxiv.org/abs/2507.20007 https://…
@pimterry@toot.cafeStarted exploring Meshtastic recently (https://meshtastic.org/).
It's... surprisingly mature? I expected something much rougher, but it's basically a very functional text/gps-only whatsapp that just doesn't need an internet connection. Feels like magic.
@awinkler@openbiblio.socialBisschen wilde Rechnerei: Wie viel Energie benötigte das Training des Phi4-Modells? Laut Datenblatt (https://huggingface.co/microsoft/phi-4) wurde 21 Tage auf 1920 H100-80G trainiert. In der SXM-Version nimmt eine H100-80G 700W auf (
@cheeaun@mastodon.socialHere’s a series of side quests on my other side projects:
1. WBGT (Wet Bulb Globe Temperature) readings are now displayed as 🔥 on https://checkweather.sg/
Open-source: https:…
@cybertailor@craba.cabУгадайте с первого раза, какого мессенджера нет в каталоге приложений для отечественной ОС "Аврора"
https://auroraos.ru/applications?tfc_storepartuid[495101007]=- мессенджеры и ВКС&tfc_div=:::
@adulau@infosec.exchangeCall for Papers and Presentation: Open Source Conference 2025 Luxembourg (OSC-LU 2025).
The Open Source Conference 2025 will take place the 1st of October 2025 in Belval, Esch-sur-Alzette, Luxembourg.
🔗 https://conference.opensource.lu/
🔗 CfP
@Techmeme@techhub.socialCline, which offers an open-source AI coding tool with transparent billing, raised a $27M Series A led by Emergence at a $110M valuation (Rashi Shrivastava/Forbes)
https://www.forbes.com/sites/rashishrivastava/20…
@laf0rge@chaos.socialI'm happy that my talk on open source eSIM integration into embedded Linux devices has been accepted at Embedded Linux Conference Europe 2025, for details see https://osseu2025.sched.com/event/25Vlq/open-source-for-esim-integration…
@whitequark@mastodon.sociali think peak open source development is you implementing a feature you won't use, in a codebase you don't control, for a person you don't understand, leaving them happy in the end
@johnleonard@mastodon.socialDenmark's Agency for Digital Government has announced plans to phase out Microsoft software across its offices in favour of open source alternatives, joining a growing European movement challenging the dominance of American tech giants.
https://www.co…
@tiotasram@kolektiva.socialLLM coding is the opposite of DRY
An important principle in software engineering is DRY: Don't Repeat Yourself. We recognize that having the same code copied in more than one place is bad for several reasons:
1. It makes the entire codebase harder to read.
2. It increases maintenance burden, since any problems in the duplicated code need to be solved in more than one place.
3. Because it becomes possible for the copies to drift apart if changes to one aren't transferred to the other (maybe the person making the change has forgotten there was a copy) it makes the code more error-prone and harder to debug.
All modern programming languages make it almost entirely unnecessary to repeat code: we can move the repeated code into a "function" or "module" and then reference it from all the different places it's needed. At a larger scale, someone might write an open-source "library" of such functions or modules and instead of re-implementing that functionality ourselves, we can use their code, with an acknowledgement. Using another person's library this way is complicated, because now you're dependent on them: if they stop maintaining it or introduce bugs, you've inherited a problem, but still, you could always copy their project and maintain your own version, and it would be not much more work than if you had implemented stuff yourself from the start. It's a little more complicated than this, but the basic principle holds, and it's a foundational one for software development in general and the open-source movement in particular. The network of "citations" as open-source software builds on other open-source software and people contribute patches to each others' projects is a lot of what makes the movement into a community, and it can lead to collaborations that drive further development. So the DRY principle is important at both small and large scales.
Unfortunately, the current crop of hyped-up LLM coding systems from the big players are antithetical to DRY at all scales:
- At the library scale, they train on open source software but then (with some unknown frequency) replicate parts of it line-for-line *without* any citation [1]. The person who was using the LLM has no way of knowing that this happened, or even any way to check for it. In theory the LLM company could build a system for this, but it's not likely to be profitable unless the courts actually start punishing these license violations, which doesn't seem likely based on results so far and the difficulty of finding out that the violations are happening. By creating these copies (and also mash-ups, along with lots of less-problematic stuff), the LLM users (enabled and encouraged by the LLM-peddlers) are directly undermining the DRY principle. If we see what the big AI companies claim to want, which is a massive shift towards machine-authored code, DRY at the library scale will effectively be dead, with each new project simply re-implementing the functionality it needs instead of every using a library. This might seem to have some upside, since dependency hell is a thing, but the downside in terms of comprehensibility and therefore maintainability, correctness, and security will be massive. The eventual lack of new high-quality DRY-respecting code to train the models on will only make this problem worse.
- At the module & function level, AI is probably prone to re-writing rather than re-using the functions or needs, especially with a workflow where a human prompts it for many independent completions. This part I don't have direct evidence for, since I don't use LLM coding models myself except in very specific circumstances because it's not generally ethical to do so. I do know that when it tries to call existing functions, it often guesses incorrectly about the parameters they need, which I'm sure is a headache and source of bugs for the vibe coders out there. An AI could be designed to take more context into account and use existing lookup tools to get accurate function signatures and use them when generating function calls, but even though that would probably significantly improve output quality, I suspect it's the kind of thing that would be seen as too-baroque and thus not a priority. Would love to hear I'm wrong about any of this, but I suspect the consequences are that any medium-or-larger sized codebase written with LLM tools will have significant bloat from duplicate functionality, and will have places where better use of existing libraries would have made the code simpler. At a fundamental level, a principle like DRY is not something that current LLM training techniques are able to learn, and while they can imitate it from their training sets to some degree when asked for large amounts of code, when prompted for many smaller chunks, they're asymptotically likely to violate it.
I think this is an important critique in part because it cuts against the argument that "LLMs are the modern compliers, if you reject them you're just like the people who wanted to keep hand-writing assembly code, and you'll be just as obsolete." Compilers actually represented a great win for abstraction, encapsulation, and DRY in general, and they supported and are integral to open source development, whereas LLMs are set to do the opposite.
[1] to see what this looks like in action in prose, see the example on page 30 of the NYTimes copyright complaint against OpenAI (#AI #GenAI #LLMs #VibeCoding
@arXiv_astrophSR_bot@mastoxiv.pageConfined Circumstellar Material as a Dust Formation Site in Type II Supernovae
Yuki Takei, Kunihito Ioka, Masaru Shibata
https://arxiv.org/abs/2507.22763 https://
@arXiv_physicsfludyn_bot@mastoxiv.pagediffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
Rene Winchenbach, Nils Thuerey
https://arxiv.org/abs/2507.21684 https://
@arXiv_condmatsoft_bot@mastoxiv.pageLEMONS: An open-source platform to generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions
Oscar Dufour (ILM, CNRS), Alexandre Nicolas (ILM, CNRS), Maxime Stapelle (ILM, CNRS)
https://arxiv.org/abs/2508.19865
@cdarwin@c.imUsing a variety of cutting-edge, open-source investigative techniques,
the Texas Observer‘s Special Investigative Correspondent Steven Monacelli
–with help from Tristan Lee of Bellingcat in two of the three stories submitted
–has identified:
Neo-Nazi perpetrators of a hate crime in Central Texas;
The operators of four major neo-Nazi X accounts;
And revealed that an ICE prosecutor was operating a white supremacist X account.
@frankel@mastodon.top
@marcel@waldvogel.familyManchmal sind Standardprodukte das beste, was man einsetzen kann. Aber manchmal ist man auch mit Open-Source-Software besser bedient.
Morgen Abend im #Netzpolitik-Treff in der #Bitwäscherei ein solches Beispiel. Eine Kooperation von @…
@heiseonline@social.heise.de @Techmeme@techhub.socialSources and docs: a Russia-based Yandex employee maintains open-source tool fast-glob, embedded in 30 US DOD software packages and downloaded 70M times per week (David DiMolfetta/Nextgov/FCW)
https://www.nextgov.com/cybersecurity/2025…
@arXiv_csCR_bot@mastoxiv.pageSDD: Self-Degraded Defense against Malicious Fine-tuning
Zixuan Chen, Weikai Lu, Xin Lin, Ziqian Zeng
https://arxiv.org/abs/2507.21182 https://arxiv.org/pd…
@netzschleuder@social.skewed.deadvogato: Advogato trust network (2009)
A network of trust relationships among users on Advogato, an online community of open source software developers. Edge direction indicates that node i trusts node j, and edge weight denotes one of four increasing levels of declared trust from i to j: observer (0.4), apprentice (0.6), journeyer (0.8), and master (1.0).
This network has 6541 nodes and 51127 edges.
Tags: Social, Online, Weighted
@arXiv_csRO_bot@mastoxiv.pageDISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments
Yufei Jia, Guangyu Wang, Yuhang Dong, Junzhe Wu, Yupei Zeng, Haonan Lin, Zifan Wang, Haizhou Ge, Weibin Gu, Kairui Ding, Zike Yan, Yunjie Cheng, Yue Li, Ziming Wang, Chuxuan Li, Wei Sui, Lu Shi, Guanzhong Tian, Ruqi Huang, Guyue Zhou
https://arxiv.org/abs/2507.219…
@arXiv_csCL_bot@mastoxiv.pageA Benchmark Dataset and Evaluation Framework for Vietnamese Large Language Models in Customer Support
Long S. T. Nguyen, Truong P. Hua, Thanh M. Nguyen, Toan Q. Pham, Nam K. Ngo, An X. Nguyen, Nghi D. M. Pham, Nghia H. Nguyen, Tho T. Quan
https://arxiv.org/abs/2507.22542
@arXiv_csSE_bot@mastoxiv.pageClassifying Issues in Open-source GitHub Repositories
Amir Hossain Raaj, Fairuz Nawer Meem, Sadia Afrin Mim
https://arxiv.org/abs/2507.18982 https://arxiv.…
@heiseonline@social.heise.deApple übernimmt Entwickler des Open Policy Agents
Die Erfinder des Open Policy Agents wechseln nach Cupertino: Apple kauft damit Expertise in der Open-Source-Software, die unter Kontrolle der CNCF bleibt.
https://www.
@arXiv_csCV_bot@mastoxiv.pageGPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset
Yuhan Wang, Siwei Yang, Bingchen Zhao, Letian Zhang, Qing Liu, Yuyin Zhou, Cihang Xie
https://arxiv.org/abs/2507.21033
@Techmeme@techhub.socialHeroDevs, which provides support for legacy open-source software, raised $125M from PSG, intends to allocate $20M to its Open Source Sustainability Fund (Kyt Dotson/SiliconANGLE)
https://siliconangle.com/2025/07/24/herodevs-rais…
@tiotasram@kolektiva.socialSubtooting since people in the original thread wanted it to be over, but selfishly tagging @… and @… whose opinions I value...
I think that saying "we are not a supply chain" is exactly what open-source maintainers should be doing right now in response to "open source supply chain security" threads.
I can't claim to be an expert and don't maintain any important FOSS stuff, but I do release almost all of my code under open licenses, and I do use many open source libraries, and I have felt the pain of needing to replace an unmaintained library.
There's a certain small-to-mid-scale class of program, including many open-source libraries, which can be built/maintained by a single person, and which to my mind best operate on a "snake growth" model: incremental changes/fixes, punctuated by periodic "skin-shedding" phases where make rewrites or version updates happen. These projects aren't immortal either: as the whole tech landscape around them changes, they become unnecessary and/or people lose interest, so they go unmaintained and eventually break. Each time one of their dependencies breaks (or has a skin-shedding moment) there's a higher probability that they break or shed too, as maintenance needs shoot up at these junctures. Unless you're a company trying to make money from a single long-lived app, it's actually okay that software churns like this, and if you're a company trying to make money, your priorities absolutely should not factor into any decisions people making FOSS software make: we're trying (and to a huge extent succeeding) to make a better world (and/or just have fun with our own hobbies share that fun with others) that leaves behind the corrosive & planet-destroying plague which is capitalism, and you're trying to personally enrich yourself by embracing that plague. The fact that capitalism is *evil* is not an incidental thing in this discussion.
To make an imperfect analogy, imagine that the peasants of some domain have set up a really-free-market, where they provide each other with free stuff to help each other survive, sometimes doing some barter perhaps but mostly just everyone bringing their surplus. Now imagine the lord of the domain, who is the source of these peasants' immiseration, goes to this market secretly & takes some berries, which he uses as one ingredient in delicious tarts that he then sells for profit. But then the berry-bringer stops showing up to the free market, or starts bringing a different kind of fruit, or even ends up bringing rotten berries by accident. And the lord complains "I have a supply chain problem!" Like, fuck off dude! Your problem is that you *didn't* want to build a supply chain and instead thought you would build your profit-focused business in other people's free stuff. If you were paying the berry-picker, you'd have a supply chain problem, but you weren't, so you really have an "I want more free stuff" problem when you can't be arsed to give away your own stuff for free.
There can be all sorts of problems in the really-free-market, like maybe not enough people bring socks, so the peasants who can't afford socks are going barefoot, and having foot problems, and the peasants put their heads together and see if they can convince someone to start bringing socks, and maybe they can't and things are a bit sad, but the really-free-market was never supposed to solve everyone's problems 100% when they're all still being squeezed dry by their taxes: until they are able to get free of the lord & start building a lovely anarchist society, the really-free-market is a best-effort kind of deal that aims to make things better, and sometimes will fall short. When it becomes the main way goods in society are distributed, and when the people who contribute aren't constantly drained by the feudal yoke, at that point the availability of particular goods is a real problem that needs to be solved, but at that point, it's also much easier to solve. And at *no* point does someone coming into the market to take stuff only to turn around and sell it deserve anything from the market or those contributing to it. They are not a supply chain. They're trying to help each other out, but even then they're doing so freely and without obligation. They might discuss amongst themselves how to better coordinate their mutual aid, but they're not going to end up forcing anyone to bring anything or even expecting that a certain person contribute a certain amount, since the whole point is that the thing is voluntary & free, and they've all got changing life circumstances that affect their contributions. Celebrate whatever shows up at the market, express your desire for things that would be useful, but don't impose a burden on anyone else to bring a specific thing, because otherwise it's fair for them to oppose such a burden on you, and now you two are doing your own barter thing that's outside the parameters of the really-free-market.
@rmdes@mstdn.socialWhen your Middle East policy is basically a horoscope with nukes.
“We don’t really know, but trust us.” https://open.substack.com/pub/charlotteclymer/p/we-dont-really-know-but-trust-us?utm_source=…
@arXiv_physicsfludyn_bot@mastoxiv.pageAssessing the Ship Motion Prediction Capabilities of the Open-Source Model NEMOH Against Field Observations
Tianshi Yu, Ziyue Wang, Filippo Nelli, Ying Tan, Guillaume Ducrozet, Alessandro Toffoli
https://arxiv.org/abs/2506.20186
@kubikpixel@chaos.social»Static Site Generators - Hugo:
Hugo ist einer der beliebtesten Open-Source-Generatoren für statische Websites. Mit seiner erstaunlichen Geschwindigkeit und Flexibilität macht das Erstellen von Websites mit Hugo wieder Spaß.«
Ich pers. bevorzuge Zola, da ich ein Rust Fanboy bin und es extrem schnell ist aber im allgemeinen sind jegliche statische Seiten in den meisten Fällen absolut ausreichend.
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@arXiv_csRO_bot@mastoxiv.pageEmbodied Domain Adaptation for Object Detection
Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub
https://arxiv.org/abs/2506.21860 https://
@heiseonline@social.heise.de @Techmeme@techhub.socialGoogle unveils Gemini CLI, an agentic AI tool that lets developers make natural language requests by connecting Gemini models to local codebases in terminals (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/25/google-unveil…
@arXiv_csCV_bot@mastoxiv.pageInternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, Jingjing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianche…
@arXiv_csCL_bot@mastoxiv.pageMind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous
https://arxiv.org/abs/2507.20956
@heiseonline@social.heise.de @arXiv_csCL_bot@mastoxiv.pageOpen-Source LLMs Collaboration Beats Closed-Source LLMs: A Scalable Multi-Agent System
Shengji Tang, Jianjian Cao, Weihao Lin, Jiale Hong, Bo Zhang, Shuyue Hu, Lei Bai, Tao Chen, Wanli Ouyang, Peng Ye
https://arxiv.org/abs/2507.14200
@heiseonline@social.heise.de @Techmeme@techhub.socialHow an open-source approach helped DeepSeek and other Chinese AI companies; Hugging Face: Alibaba's Qwen is now the world's largest open-source AI ecosystem (South China Morning Post)
https://www.scmp.com/tech/big-tech/article
@arXiv_csCL_bot@mastoxiv.pageThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Qianyu He, Siyu Yuan, Xuefeng Li, Mingxuan Wang, Jiangjie Chen
https://arxiv.org/abs/2508.18773
@heiseonline@social.heise.de @Techmeme@techhub.socialAlibaba releases its new Qwen3-235B-A22B-Instruct-2507 model on Hugging Face, improving on Qwen 3's reasoning, accuracy, and multilingual understanding (Carl Franzen/VentureBeat)
https://venturebeat.com/ai/alibabas-new…
@Techmeme@techhub.socialSource: Yann LeCun will continue to work at Meta as chief scientist of the AI research group FAIR and will report to Alexandr Wang (Kurt Wagner/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-25/meta-says-open-ai…
@heiseonline@social.heise.de @Techmeme@techhub.socialLuxembourg-based Tadaweb, an open-source intelligence platform, raised $20M led by Arsenal Growth and ForgePoint, taking its total funding to $40M (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software…
@heiseonline@social.heise.de @Techmeme@techhub.socialElon Musk says xAI has open sourced Grok 2.5 and plans to do the same for Grok 3 in about six months, with Grok 2's weights now available on Hugging Face (Elon Musk/@elonmusk)
https://x.com/elonmusk/status/1959379349322313920
@heiseonline@social.heise.de @Techmeme@techhub.socialE2B, formerly FoundryLabs, which is developing an open-source, sandboxed cloud infrastructure for AI agents, raised a $21M Series A led by Insight Partners (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/07/28/e2
@heiseonline@social.heise.de @Techmeme@techhub.socialZ.ai, formerly known as Zhipu and which has raised $1.5B from Tencent and others, releases GLM-4.5, an open source AI model that's cheaper to use than DeepSeek (Evelyn Cheng/CNBC)
https://www.cnbc.com/2025/07/28/chinas-latest-ai-…
@heiseonline@social.heise.deMentra entwickelt ein Open-Source-Betriebssystem für Smart Glasses
Das Start-up Mentra arbeitet an einer Open-Source-Alternative zu Smart-Glasses-Betriebssystemen der großen Techkonzerne.
http…
@heiseonline@social.heise.de @Techmeme@techhub.socialMistral releases Voxtral, its first open source AI audio model family, and says its API transcription offerings are cheaper than models from OpenAI and Google (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/07/15/mistral-releases-voxtr…
@Techmeme@techhub.socialAt the 2025 RISC-V Summit in China, Nvidia says CUDA will now be compatible with RISC-V's instruction set architecture, making RISC-V a viable x86 and Arm rival (Anton Shilov/Tom's Hardware)
https://www.
