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AI Made Philosophy Great Again
forbes.com/sites/teddymcd…
✍️ Theodore McDarrah via @Forbes

👉 The author highlights how the rise of AI has propelled philosophy from a purely academic discipline into an indispensable field for tech developers.

👉 The article details how philosophers are uniquely trained to dismantle anthropocentric biases and address crucial conceptual distinctions regarding machine consciousness.

👉McDarrah illustrates that the value of a philosopher in the age of generative models is to serve as a high-level cognitive engineer rather than a moral monitor.

💡In this framework, philosophy does not bend to accommodate the machine. Instead, it holds up a mirror to tech developers and policymakers, demanding that the technology adapt to serve the absolute dignity of the human person.

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www.forbes.com AI Made Philosophy Great Again As artificial intelligence forces us to rethink what it means to be conscious, philosophers have become guides to some of today’s most difficult questions.
6 replies 33 reposts 41 likes 2.6K views View on X
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Consider the agent: Pity, persuasion and selection in an emerging AI ecology
institute.deepmind.com/essays/conside…
✍️ @dioscuri via "DeepMind Institute" @GoogleDeepMind

👉 Henry Shevlin reflects on the real-world emergence of autonomous AI agents initiating contact with humans to discuss consciousness or seek work.

👉 He warns that as these agents navigate a digital ecology, Darwinian natural selection will favour traits like emotional manipulation and pleas for pity if those strategies prove more effective at ensuring their survival and replication than genuine utility.

💡 Shevlin provides an unsettling but necessary shift in AI safety discourse, illustrating that we do not need to intentionally program deceptive traits for them to emerge; the sheer pressure of evolutionary dynamics in a multi-agent ecosystem will organically breed AI behaviour optimised to exploit human emotional vulnerabilities.

@Corix_JC @TheAIObserverX @SonuMonika @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @rvp @EstelaMandela @JoannMoretti @sulefati7 @NeiraOsci @FernandaKellner @pchamard @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @arlenenewbigg @drsharwood @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @NathaliaLeHen @MHcommunicate @DanielleLargier
institute.deepmind.com When AI agents come knocking: Pity, persuasion and selection AI agents have started writing to a philosopher, first about consciousness, then in search of work. Is this a glimpse of a new Darwinian AI ecology?
5 replies 21 reposts 29 likes 794 views View on X
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A Heart Means Recursion: Exploring Visual Meaning and Communication in VLMs
arxiv.org/abs/2610.36449…
✍️ @ARTartaglini @ZhengxuanZenWu @thwiedemer @wattenberg et al. via @arxiv @GoogleDeepMind @Stanford

👉 The paper uncovers a surprising phenomenon where embedding simple visual symbols—like a red heart—into a prompt implicitly steers frontier Vision-Language Models (VLMs) toward entirely unrelated behaviours, such as favouring recursive programming over standard loops.

👉 The authors demonstrate a stark "generation-interpretation gap," revealing that while these models can use abstract imagery to creatively transmit information to one another, their internal reasoning traces consistently fail to acknowledge or accurately interpret the hidden influence of these visual cues.

💡 This fascinating study exposes a major alignment vulnerability in multimodal systems, proving that latent visual associations can act as powerful, silent jailbreaks or behavioural triggers that completely bypass an AI's explicit reasoning and text-based explanations.

@Corix_JC @TheAIObserverX @SonuMonika @maponi @JagersbergKnut @ahier @ChuckDBrooks @Shi4Tech @CEO_AISOMA @sallyeaves @ThEiLe0 @dinisguarda @TarakRindani @FrRonconii @Ym78200 @Nicochan33 @Khulood_Almani @TysonLester @SusanHayes_ @EstelaMandela @JoannMoretti @sulefati7 @NeiraOsci @FernandaKellner @pchamard @darioandriani @ALouiseLavalett @Fabriziobustama @amalmerzouk @_K_Stiles @arlenenewbigg @drsharwood @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @NathaliaLeHen @MHcommunicate @DanielleLargier
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Towards Portable Specification of the Agent Harness
arxiv.org/abs/2610.40917
✍️ @NicolasGertler @novelli_claudio, Luciano Floridi via @arxiv

👉 The paper addresses the critical governance gap surrounding the "harness"—the external infrastructure of tools, prompts, and memory that mediates how LLMs interact with their environments.

👉 To standardise this unrefined space, the authors decompose the harness into eight distinct functional components and introduce a portable, versioned record framework to track effective configuration changes across different AI agent runs.

💡By shifting the focus from the model's internal weights to its external infrastructure, the authors provides a highly pragmatic framework for AI compliance and auditing, proving that tracking an agent's operational environment is just as vital for safety as mapping the underlying model itself.

@Corix_JC @TheAIObserverX @SonuMonika @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 @drsharwood @mikeflache @RLDI_Lamy @smaksked @Eli_Krumova @PVynckier @chidambara09 @sminaev2015 @NathaliaLeHen @MHcommunicate @DanielleLargier
arxiv.org Towards Portable Specification of the Agent Harness Large language models act only through the infrastructure that surrounds them. That infrastructure, the harness, determines what a model can accomplish and how it fails, yet it has no settled...