25 Years of Wikipedia
#HackerNews #Wikipedia #Anniversary #Wikipedia25 #Online #Knowledge #OpenSource #Community
Trending Bot
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A rock in a rover on #Mars could prove the existence of life on other planets. #Trump wants to abandon it.
On Mars, in the belly of a rover named #Perseverance, a titanium tube holds a stone more precious than any diamond or ruby on Earth. The robot spotted it in 2024 along the banks of a Martian riverbed & zapped it with an ultraviolet laser.
#science #space #NASA #JPL #discovery #knowledge #idiocracy
https://www.theatlantic.com/magazine/2026/02/trump-nasa-budget-american-space-program/685332/?gift=guxsrl_dAdXUP9zqbQPWxXpGZyoCujPSVvS4n6kP3FU
A rock in a rover on #Mars could prove the existence of life on other planets. #Trump wants to abandon it.
On Mars, in the belly of a rover named #Perseverance, a titanium tube holds a stone more precious than any diamond or ruby on Earth. The robot spotted it in 2024 along the banks of a Martian riverbed & zapped it with an ultraviolet laser.
#science #space #NASA #JPL #discovery #knowledge #idiocracy
https://www.theatlantic.com/magazine/2026/02/trump-nasa-budget-american-space-program/685332/?gift=guxsrl_dAdXUP9zqbQPWxXpGZyoCujPSVvS4n6kP3FU
informapirata ⁂ :privacypride:
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Language models cannot reliably distinguish belief from knowledge and fact
Abstract
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«As language models (LMs) increasingly infiltrate into high-stakes domains such as law, medicine, journalism and science, their ability to distinguish belief from knowledge, and fact from fiction, becomes imperative. Failure to make such distinctions can mislead diagnoses, distort judicial judgments and amplify misinformation. Here we evaluate 24 cutting-edge LMs using a new KaBLE benchmark of 13,000 questions across 13 epistemic tasks. Our findings reveal crucial limitations. In particular, all models tested systematically fail to acknowledge first-person false beliefs, with GPT-4o dropping from 98.2% to 64.4% accuracy and DeepSeek R1 plummeting from over 90% to 14.4%. Further, models process third-person false beliefs with substantially higher accuracy (95% for newer models; 79% for older ones) than first-person false beliefs (62.6% for newer; 52.5% for older), revealing a troubling attribution bias. We also find that, while recent models show competence in recursive knowledge tasks, they still rely on inconsistent reasoning strategies, suggesting superficial pattern matching rather than robust epistemic understanding. Most models lack a robust understanding of the factive nature of knowledge, that knowledge inherently requires truth. These limitations necessitate urgent improvements before deploying LMs in high-stakes domains where epistemic distinctions are crucial.»
Language models cannot reliably distinguish belief from knowledge and fact
Abstract
-----------
«As language models (LMs) increasingly infiltrate into high-stakes domains such as law, medicine, journalism and science, their ability to distinguish belief from knowledge, and fact from fiction, becomes imperative. Failure to make such distinctions can mislead diagnoses, distort judicial judgments and amplify misinformation. Here we evaluate 24 cutting-edge LMs using a new KaBLE benchmark of 13,000 questions across 13 epistemic tasks. Our findings reveal crucial limitations. In particular, all models tested systematically fail to acknowledge first-person false beliefs, with GPT-4o dropping from 98.2% to 64.4% accuracy and DeepSeek R1 plummeting from over 90% to 14.4%. Further, models process third-person false beliefs with substantially higher accuracy (95% for newer models; 79% for older ones) than first-person false beliefs (62.6% for newer; 52.5% for older), revealing a troubling attribution bias. We also find that, while recent models show competence in recursive knowledge tasks, they still rely on inconsistent reasoning strategies, suggesting superficial pattern matching rather than robust epistemic understanding. Most models lack a robust understanding of the factive nature of knowledge, that knowledge inherently requires truth. These limitations necessitate urgent improvements before deploying LMs in high-stakes domains where epistemic distinctions are crucial.»
The 8 ways that all the elements in the Universe are made
https://bigthink.com/starts-with-a-bang/8-ways-elements-made/
#HackerNews #elements #universe #science #discovery #knowledge #space
hypebot
boosted
#Trump Is Closing #NASA’s Largest Library
Holdings from the #library at the #GoddardSpaceFlightCenter, which includes unique documents from the early 20th century to the Soviet #space race, will be warehoused or thrown out.
The shutdown of the library…is part of a larger reorganization under the Trump admin that includes the closure of 13 buildings & >100 #science & #engineering laboratories on the 1,270-acre campus by March 2026.
#history #knowledge #education
https://www.nytimes.com/2025/12/31/climate/nasa-goddard-library-closing.html?smid=nytcore-ios-share
#Trump Is Closing #NASA’s Largest Library
Holdings from the #library at the #GoddardSpaceFlightCenter, which includes unique documents from the early 20th century to the Soviet #space race, will be warehoused or thrown out.
The shutdown of the library…is part of a larger reorganization under the Trump admin that includes the closure of 13 buildings & >100 #science & #engineering laboratories on the 1,270-acre campus by March 2026.
#history #knowledge #education
https://www.nytimes.com/2025/12/31/climate/nasa-goddard-library-closing.html?smid=nytcore-ios-share
Python Numbers Every Programmer Should Know
https://mkennedy.codes/posts/python-numbers-every-programmer-should-know/
#HackerNews #Python #Programming #Programmer #Tips #Coding #Knowledge #Tech #Skills
wakest ⁂
and 3 others
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Federating knowledge: exploring ways to bridge wikis and notes
Join the workshop at #39C3!
NEW DATE: day 4, TODAY at 13:40 @ Free Knowledge Habitat Workshop Area.
Most people and organisations have their very own way of acquiring, organising, archiving, sharing, and collaborating on knowledge repositories. A broad spectrum of opinions and approaches resulted in a diverse and rich ecosystem of knowledge management solutions. Nevertheless, this also implies scattered and disconnected knowledge sources. What would it mean to build bridges among wikis and federate knowledge?
This workshop is going to be heavily centred on a twofold discussion, exploring the challenge of federated knowledge starting from two questions.
- What does it mean to federate knowledge repositories?
- Instead of pursuing a silver-bullet solution to embrace all use-cases, what would it mean to foster and enable interoperability for different software?
These questions stem from years of questioning and wondering how to integrate my personal note-taking and collective, participatory knowledge management at work, in organisations, institutions, and informal collectives. Recently, I began actively researching this topic as I started playing with the MediaWiki API to cross-synchronise my local Markdown notes and the XPUB wiki, the public learning wiki of the Experimental Publishing master. I am puzzled by taking advantage of the potential of a specific software (in this case, MediaWiki) while fearing of being locked-in.
Some further, more specific, insights and questions:
- Local-first approaches and software (e.g. Reflection)
- Interesting experiments based on existing protocols, such as Ibis
- What do we take of semi-open and obscure yet very cool initiatives like Anytype
- The power and the limits of plain-text: how to enable collaboration on simple Markdown files and build on top of it, as Obsidian does
Cc: @modal @p2panda @obsidian @wikimediaDE @dweb
#knowledge #FreeKnowledge #wiki #MediaWiki #API #Obsidian #Anytype #Ibis #IbisWiki #Reflection #CCC #Federation #federatedKnowledge #docs #PKM #knowledgeManagement #personalKnowledgeManagement #collectiveKnowledgeManagement #DWeb #decentralization #ActivityPub
A16Z Infra Reading List
https://a16z-infra.github.io/reading-list/
#HackerNews #A16Z #Infra #Reading #List #A16Z #Reading #List #Tech #Insights #Knowledge #Sharing #Infrastructure
Publishing your work increases your luck
https://github.com/readme/guides/publishing-your-work
#HackerNews #Publishing #your #work #increases #your #luck #publishing #your #work #luck #increase #creativity #share #your #knowledge
Federating knowledge: exploring ways to bridge wikis and notes
Join the workshop at #39C3!
NEW DATE: day 4, TODAY at 13:40 @ Free Knowledge Habitat Workshop Area.
Most people and organisations have their very own way of acquiring, organising, archiving, sharing, and collaborating on knowledge repositories. A broad spectrum of opinions and approaches resulted in a diverse and rich ecosystem of knowledge management solutions. Nevertheless, this also implies scattered and disconnected knowledge sources. What would it mean to build bridges among wikis and federate knowledge?
This workshop is going to be heavily centred on a twofold discussion, exploring the challenge of federated knowledge starting from two questions.
- What does it mean to federate knowledge repositories?
- Instead of pursuing a silver-bullet solution to embrace all use-cases, what would it mean to foster and enable interoperability for different software?
These questions stem from years of questioning and wondering how to integrate my personal note-taking and collective, participatory knowledge management at work, in organisations, institutions, and informal collectives. Recently, I began actively researching this topic as I started playing with the MediaWiki API to cross-synchronise my local Markdown notes and the XPUB wiki, the public learning wiki of the Experimental Publishing master. I am puzzled by taking advantage of the potential of a specific software (in this case, MediaWiki) while fearing of being locked-in.
Some further, more specific, insights and questions:
- Local-first approaches and software (e.g. Reflection)
- Interesting experiments based on existing protocols, such as Ibis
- What do we take of semi-open and obscure yet very cool initiatives like Anytype
- The power and the limits of plain-text: how to enable collaboration on simple Markdown files and build on top of it, as Obsidian does
Cc: @modal @p2panda @obsidian @wikimediaDE @dweb
#knowledge #FreeKnowledge #wiki #MediaWiki #API #Obsidian #Anytype #Ibis #IbisWiki #Reflection #CCC #Federation #federatedKnowledge #docs #PKM #knowledgeManagement #personalKnowledgeManagement #collectiveKnowledgeManagement #DWeb #decentralization #ActivityPub
How geometry is fundamental for chess
https://lichess.org/@/RuyLopez1000/blog/how-geometry-is-fundamental-for-chess/h31wwhUX
Kristie
boosted
THREAD
1/
I don’t read the news, but today I did, and it really got me thinking.
Internet culture has reshaped how we relate to knowledge. Alignment now seems to matter more than accuracy, and online, there is always some place, or some person, willing to offer alignment.
#Scotland #Internet #Knowledge #Truth #SocialMedia #News #Misinformation #Writing #WritingCommunity #Reading #Culture #TV #UK
Claude Code Recipes for Knowledge Workers (Open Source)
https://github.com/sgharlow/claude-code-recipes
#HackerNews #Claude #Code #Recipes #Knowledge #Workers #Open #Source #GitHub