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WarmHub
@warmhub.com
34 followers 63 following 15 posts
Building the infrastructure that makes trust shareable, verifiable, and composable
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LLMs aren’t trained to be right; they’re trained to sound right.

At WarmHub, we move beyond the guesswork with infrastructure that deploys intelligence efficiently & effectively to help identify uncertainty, reduce it, & make decisions you can trust.

www.science.org/content/arti...
@science.org
AI hallucinates because it’s trained to fake answers it doesn’t know
Teaching chatbots to say “I don’t know” could curb hallucinations. It could also break AI’s business model
www.science.org
Great guide from Andrey Anikin on evaluating research. Science needs more than peer review—it needs transparent, reproducible, and verifiable evidence. At WarmHub, we’re building the infrastructure to make trust in research scalable reusable, & composable.

link.springer.com/article/10.3...
Can I trust this paper? - Psychonomic Bulletin & Review
After a decade of data falsification scandals and replication failures in psychology and related empirical disciplines, there are urgent calls for open science and structural reform in the publishing ...
link.springer.com
Reposted by WarmHub
Want to give input to help your fellow scientists?

We’ve updated our list of preprints in need of feedback: bit.ly/preprintrequests

We’re having our own preprint commenting event next Friday. We’ll consider reading your work if you add it to the list: bit.ly/submitpreprint
WarmHub @warmhub.com · Jun 18
Excited to see this move from @nature.com towards building trust and transparency in science! 👏 #Trust #Science
Trust starts with transparency. FAIR data repositories ensure data is Findable, Accessible, Interoperable, & Reusable—key to innovation. At WarmHub, we’re creating scalable trust infrastructure to amplify these principles.
#FAIRData #TrustInfrastructure #ComposableTrust
ow.ly/OIuQ50W3mNq
The fair principles: Trusting in fair data repositories
Andy Götz, ESRF data manager and PaNOSC coordinator, discusses the impact of applying the FAIR principles to research data
ow.ly
WarmHub @warmhub.com · May 27
"Software provenance ensures we know where our software comes from, what it contains, & how it was built, so we can trust it." Eric Rescorla

Timely reminder on the importance of trust & transparency in today’s complex software ecosystems.
educatedguesswork.org/posts/ensuri...
#Trust #OpenSource
Why it's hard to trust software, but you mostly have to anyway
educatedguesswork.org
WarmHub @warmhub.com · May 22
Ever wondered how to improve AI reliability? Read this analysis by Intercom analysis on Agency-Control-Reliability tradeoff in customer support. Reminds us of the need for building scalable trust infrastructure to ensure AI systems are dependable.
fin.ai/research/age...
#TrustInfrastructure #WarmHub
The Agency, Control, Reliability (ACR) Tradeoff for Agents
We experiment with the strategy of developing composable AI agents with slightly tempered autonomy. The resulting agent exhibits vastly improved reliability, and performance.
fin.ai
WarmHub @warmhub.com · May 14
Open source software is transforming app development, but how can we trust it, especially in security-minded application?

Recent Harvard Business School paper emphasizes that ensuring reliability is critical.

Read more: ow.ly/cWE650VOY3Y #Trust #Innovation # #WarmHub
In a world where information flows faster than ever, the value of trust & reputation is critical.

This article explores how we're transitioning from an information-centric society to one where reputation reigns supreme.

Check it out: aeon.co/ideas/say-go...
#Trust #Reputation #WarmHub
Say goodbye to the information age: it’s all about reputation now | Aeon Ideas
In the reputation age, we should rank the quality of information not by its the content but by the agenda of its source
aeon.co