The century-long search for the limits to knowledge aeon.co/essays/the-century-l… ✍️Alexander V. Gheorghiu via @aeonmag 👉 The author traces how the quest to map human understanding evolved from Kant's epistemology and David Hilbert's mathematical optimism to Kurt Gödel's Incompleteness Theorems. 👉 Utilising the Dummett-Sandqvist framework, he argues that mathematical truth is not a fixed, unreachable ceiling but an evolving structure defined and expanded by the shared practices of assertion we use to navigate it. 💡 By shifting the interpretation of Gödel's incompleteness from a tragic barrier to a dynamic, evolving horizon, Gheorghiu rescues mathematical logic from nihilism and reframes epistemic limits as invitations for creative conceptual growth. 💡This philosophical pivot delivers a vital framework for modern cognitive science and AI development, demonstrating that true intelligence lies not in discovering static, pre-existing laws, but in the flexible human capability to rewrite the rules of understanding as we ascend the ladder of knowledge. @Corix_JC @TheAIObserverX @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @rvp @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier #Knowledge #Wisdom #AI #Philosophy #Cognition #Science #Intelligence #Epistemology #Logic

AI and Consciousness: A Sceptical Overview cambridge.org/core/elements/… ✍️ @eschwitz via @CambridgeCore 👉 Philosopher Eric Schwitzgebel argues that science lags behind engineering, leaving humanity fundamentally unable to verify whether advanced artificial systems will soon possess rich phenomenal awareness or remain completely blank. 👉 Reviewing mainstream theories of mind, he highlights that upcoming models will likely fulfil certain functional definitions of sentience while totally failing others, trapping society in a state of profound epistemic ignorance regarding machine consciousness. 💡 Schwitzgebel delivers a reality check to tech labs and ethicists alike by demonstrating that the primary obstacle to assessing machine minds is not a lack of diagnostic data, but our own deep scientific ignorance about what consciousness actually is. 💡 By showing that we could easily be surrounded by artificial entities that perfectly mimic human psychology while remaining as experientially empty as toasters, he warns that we face a massive ethical trap where we risk either granting moral rights to hollow lines of code or cruelly exploiting a truly suffering digital mind. @Corix_JC @TheAIObserverX @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @rvp @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier

A team of Gemini 4 Argon agents beats Minecraft arxiv.org/abs/2610.22319v1 👉@maxencefaldor, Satinder Singh, @robertarail via @arxiv @GoogleDeepMind 👉 Researchers from Google DeepMind demonstrated the first end-to-end autonomous completion of Minecraft by placing four general-purpose Gemini 4 Argon coding agents into a random survival world with the sole instruction to defeat the Ender Dragon. 👉 Operating with no pre-assigned roles or human-written game logic, the agents controlled their players via a standard JavaScript library, writing 2,783 custom programs and coordinating via in-game chat to overcome 605 in-game deaths and complete the objective in just over 27 hours. 💡 By forcing general-purpose models to independently sustain a singular, highly complex operational plan across thousands of dependent programmatic steps, this research transitions AI benchmarks from short-horizon reasoning tests to a true simulation of long-horizon enterprise engineering. @Corix_JC @TheAIObserverX @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @rvp @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @FernandaKellner @pchamard @NeiraOsci @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @Analytics_699 @NathaliaLeHen @MHcommunicate @DanielleLargier