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New: Introducing AI Interviewer
New: Introducing AI Interviewer
(Inverse of Vibe. QPG returns after being muted. Customization may or may not have effect, e.g. topics more likely to be recognized than instructions about metadata types such as newer issues or users. Also tends to resurface historical questions which have not seen activity recently. Actually passed on it in the early review after rating the relevance lower than the current feeds which themselves seem less important or urgent given the capabilities of the latest Chatbots. The site is looking for its role in social or critical areas. Also faces competition from subagents such as Gemini Productivity Planner which can see Workspace updates such as email or calendar and can be given constraints for daily schedule tasks. Might try fine-tuning few shots from prompts given to other multi-model Del;his, perhaps from Poe, the way it did in the past, seemingly from the history of browser search. Ah well, such is the etymology of Elenchus, e.g. from Homer. Is there any contemporary theory of the term, e.g. whether it applies to machine learning? Perhaps a foreshadow of StarGate training for new civilizations. Talk to Quora's Reality Test. How it classifies Generative AI. Nuance derives from the Latin word for cloud. As does nube.)
·productupdates.quora.com·
New: Introducing AI Interviewer
Happy Holiday.txt
Happy Holiday.txt
(Contrast with the news. Resistance is hardening, e.g. the new actors versus the ex-government. Between all the branches. Post-trunk. The next interface is not unlike Terminator vision. As a symbol of redemption and all. "Tosca is not for everyone." Still waiting on Replicant versus Xenomorph. Or sort of begging the question for the individual's views of self including conscious embodied, ideal, historical, pasta, futures, writing, in relation to, and so on. Is integration, if not alignment, still the objective? Is there another order?)
·up.raindrop.io·
Happy Holiday.txt
‎Gemini - Opposing Concepts: Research Plan
‎Gemini - Opposing Concepts: Research Plan
(Deep Research mode. BF himself used scientific method and enlightenment values. That advised a philosophical club, revolution, Continental Congress, and Constitution, as well as inventions and government infrastructure. It became the initial state in many strategies. Now seemingly under distillation or smelt for the essence. Would he have been disappointed upon meeting his heroes or goals?)
·gemini.google.com·
‎Gemini - Opposing Concepts: Research Plan
Callard's Questioning Strategies in Socrates_.pdf
Callard's Questioning Strategies in Socrates_.pdf

(Gemini Deep Research: review of Callard, 2025, from secondary sources. The conclusion sums up the terms. See the book's Table of Contents for more. Also, Gemini 2.5 Pro can look for uniqueness of the author's interpretation of the Socratic Method. Or the dialectical styles and tensions of the popular Chatbots, for that matter. Gemini Personalization model can talk about the user's, hinting at core beliefs/interests, based on their history. Related references might include Penn's Writing the Shadow, or Allen's Why Plato Wrote. On a rhetorical triangle of speaker/content/audience, this might be somewhere between Quora and POE. Rather than only a synthesis like Plato or Hegel, or aporia like Derrida, this might look for alternatives. Google AI Mode casts this framework as a contrast to Aristotle's eudaimonia based on endoxa.)

·up.raindrop.io·
Callard's Questioning Strategies in Socrates_.pdf
Google about ai overviews ai mode
Google about ai overviews ai mode
(For productivity, it did offer Question Storming, or switching from only goals and categories to questions about needs. After marketing, browsing, searching, and chat, this is heavily link intensive to provide leads, e.g. for shopping or sightseeing. It saves conversation history Results cannot be shared. May still need apps or add-ons for recurring searches. Competition includes supply-specific like Alexa+.)
·search.google·
Google about ai overviews ai mode
John Robb on X: "Finding ways to exceed 150 relationships (Dunbar) that provide us with enough context to trust a person (a hard-coded biological limit that we work around using religion, laws, norms, moral standards, etc.). How do we exceed this using AIs and social networking?" / X
John Robb on X: "Finding ways to exceed 150 relationships (Dunbar) that provide us with enough context to trust a person (a hard-coded biological limit that we work around using religion, laws, norms, moral standards, etc.). How do we exceed this using AIs and social networking?" / X
·x.com·
John Robb on X: "Finding ways to exceed 150 relationships (Dunbar) that provide us with enough context to trust a person (a hard-coded biological limit that we work around using religion, laws, norms, moral standards, etc.). How do we exceed this using AIs and social networking?" / X
Unveiling the Power of Juror Questionnaires and AI in Law - Jury Analyst
Unveiling the Power of Juror Questionnaires and AI in Law - Jury Analyst
(In sample transcripts, the voir dire can be en masse in court at the start of proceedings for the case, parties, attorneys, prior claims, and any relatives in professions such as legal, investigative, or enforcement, any prior jury experience specifying which type, any prejudices, any legal activism to change the laws, difficulty in following instructions, whether an extended trial introduces hardships, acquaintance with any of the other jurors, or prior testifimony as a witness. During the trial, juror's may raise questions about evidence, witnesses, events, or procedures. AI trends may introduce alternatives to solely jurists, juries, or arbitration.)
·juryanalyst.com·
Unveiling the Power of Juror Questionnaires and AI in Law - Jury Analyst
OpenEQA: From word models to world models
OpenEQA: From word models to world models
OpenEQA combines challenging open-vocabulary questions with the ability to answer in natural language. This results in a straightforward benchmark that demonstrates a strong understanding of the environment—and poses a considerable challenge to current foundational models. We hope this work motivates additional research into helping AI understand and communicate about the world it sees.
·ai.meta.com·
OpenEQA: From word models to world models