Sharing the best of humanity with the world, one story at a time.People reveal 13 psychological 'cheat codes' for social situations that work 'every time'
Brandon H 
via @dotnet : MCP C# SDK Gets Major Update: Support for Protocol Version 2025-06-18
https://ift.tt/qeagVHY
#MCP #CSharpSDK #DotNet #AI #SoftwareDevelopment #Authentication #Elicitation #StructuredOutput #ResourceLinks #SDKUpdate #Programming #OpenSource #ModelCoโฆ
MCP C# SDK Gets Major Update: Support for Protocol Version 2025-06-18 - .NET Blog
The MCP C# SDK has been updated to support the latest Model Context Protocol specification (2025-06-18), bringing structured tool output, elicitation support, enhanced security, and more to .NET developers building AI applications.
Hacker NewsUnsupervised Elicitation of Language Models
https://arxiv.org/abs/2506.10139
#HackerNews #Unsupervised #Elicitation #of #Language #Models #LanguageModels #AIResearch #NaturalLanguageProcessing #MachineLearning #HackerNews
Unsupervised Elicitation of Language Models
To steer pretrained language models for downstream tasks, today's post-training paradigm relies on humans to specify desired behaviors. However, for models with superhuman capabilities, it is difficult or impossible to get high-quality human supervision. To address this challenge, we introduce a new unsupervised algorithm, Internal Coherence Maximization (ICM), to fine-tune pretrained language models on their own generated labels, \emph{without external supervision}. On GSM8k-verification, TruthfulQA, and Alpaca reward modeling tasks, our method matches the performance of training on golden supervision and outperforms training on crowdsourced human supervision. On tasks where LMs' capabilities are strongly superhuman, our method can elicit those capabilities significantly better than training on human labels. Finally, we show that our method can improve the training of frontier LMs: we use our method to train an unsupervised reward model and use reinforcement learning to train a Claude 3.5 Haiku-based assistant. Both the reward model and the assistant outperform their human-supervised counterparts.
Christina Lekati"๐พ๐๐๐, ๐ฐโ๐ ๐๐๐ ๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐
๐๐ ๐๐๐๐๐ ๐๐๐๐, ๐๐๐โฆ"
Have you ever heard someone utter this phrase? There is a chance that they could be on the verge of revealing something sensitiveโpossibly without realizing the implications. And they could be brought to this point, intentionally.
Used in social engineering, intelligence gathering, and even corporate environments, elicitation is the art of extracting valuable or sensitive information during a seemingly regular conversation.
The techniques are usually subtle, non-threatening, easy to disguise, deniable, and effective.
My new article dives into:
๐น What elicitation is and why it works.
๐น The psychological tendencies that make us vulnerable.
๐น 3 highly effective elicitation techniques (plus a bonus one).
Understanding these techniques isnโt just about learning how they work; itโs also about recognizing when theyโre being used against you. Whether youโre in security, law enforcement, negotiations, or simply someone who wants to protect sensitive information, this is a skill worth knowing about.
And before you go, think: have you ever witnessed (or been part of) a situation where someone unknowingly shared too much? How did it play out?
#Elicitation #SocialEngineering #HumanBehavior #InformationSecurity #Awareness #CyberSecurity
https://christina-lekati.medium.com/elicitation-techniques-74be36e212f8
The new year has come around, and we kick it off with 2 new live online classes from Digital Trails Academy!
๐น On the 21st of January, I will be giving a 4-hour online class on #Elicitation ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐พ๐๐ฒ๐.
Elicitation is about making people volunteer information without asking a single question.
It is part of most social engineering attempts that involve information collection and an integral part of HUMINT operations (including threat intelligence vHUMINT).
Join us to learn how to build rapport and trigger sources to disclose information they otherwise wouldn't!
Want more for your investigative toolkit?
๐น On the 28th of January, the talented Samuel Lolagar will be teaching his online class on #Telegram ๐๐ป๐๐ฒ๐๐๐ถ๐ด๐ฎ๐๐ถ๐ผ๐ป๐.
In this class, Samuel will discuss the types of criminal activity that leverage Telegram, as well as important investigative tools & techniques to help you maximize your information collection from the platform while maintaining appropriate OPSEC. (link in comments)
All relevant information including the class content and the registration, can be found in the links โฌ๏ธ
For the truly dedicated ones: there is also a bundle offer for both classes with a discount!
We both look forward to e-seeing you in a few days! ๐ ๐ค
#OSINT #Opensourceintelligence #HUMINT #SocialEngineering #Training
Dennis Alexis Valin DittrichEliciting Moral Preferences Under Image Concerns: Theory and Evidence http://d.repec.org/n?u=RePEc:bon:boncrc:crctr224_2023_441&r=exp
.โฆshow that image concerns affect the measurement of #moral preferences in ways that interact with the #elicitation method.โฆ behavior will differ between direct and price-list mechanisms.โฆ results argue for caution in interpreting standard estimates of moral preferences from experiments andcontingent-valuation surveys
#ExperimentalEcon
.โฆshow that image concerns affect the measurement of #moral preferences in ways that interact with the #elicitation method.โฆ behavior will differ between direct and price-list mechanisms.โฆ results argue for caution in interpreting standard estimates of moral preferences from experiments andcontingent-valuation surveys
#ExperimentalEcon