Michael Saylor argues that Bitcoin could be a major beneficiary if AI compresses corporate terminal values and reduces market premiums for long-term growth. His comments respond to Chamath Palihapitiya's theory that AI could fundamentally disrupt traditional business moats and valuations.

$BTC

AI × CryptoBullishBlockonomi · Mar 176/10

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Crypto News: As SEC Ends BitClout Case and ASIC Flags Gen Z Risk, DeepSnitch AI’s $1.66M Presale Targets 1000x Alongside March Launch on the Back of Powerful Utility

The SEC has permanently dismissed its fraud case against BitClout founder Nader Al-Naji with prejudice, ending a two-year investigation into $257 million in alleged unregistered token sales. Meanwhile, ASIC has flagged Gen Z crypto investment risks, and DeepSnitch AI's presale has reached $1.66 million targeting a March launch.

DeFiNeutralBlockonomi · Mar 176/10

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Solana (SOL) DeFi Tops $19B Amid Declining Yields As Taurox Turns AI Performance Into 80% Staker Gains

Solana's DeFi total value locked surged 65% from $11.5B to over $19B between December 2025 and March 2026, with JitoSOL holding over $2B. However, native SOL staking yields have declined for three consecutive months, dropping from over 8% to 5.9-7.5%.

$SOL

AINeutralFortune Crypto · Mar 177/10

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AI is making productivity obsolete. The leaders who thrive next will have something machines can’t touch

AI is fundamentally changing how professional value is measured by making traditional productivity metrics obsolete. Leaders must now focus on uniquely human capabilities that machines cannot replicate as the definition of workplace worth shifts away from pure output.

AIBullisharXiv – CS AI · Mar 176/10

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Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs

Researchers introduce AdaAnchor, a new AI reasoning framework that performs silent computation in latent space rather than generating verbose step-by-step reasoning. The system adaptively determines when to stop refining its internal reasoning process, achieving up to 5% better accuracy while reducing token generation by 92-93% and cutting refinement steps by 48-60%.

AIBullisharXiv – CS AI · Mar 176/10

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LUMINA: Laplacian-Unifying Mechanism for Interpretable Neurodevelopmental Analysis via Quad-Stream GCN

Researchers developed LUMINA, a new Graph Convolutional Network architecture that improves AI-driven diagnosis of neurodevelopmental disorders using fMRI brain data. The system achieved 84.66% accuracy for ADHD and 88.41% for autism spectrum disorder detection by addressing traditional GCN limitations in capturing neural connection dynamics.

AIBearisharXiv – CS AI · Mar 176/10

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The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation

Researchers warn that AI-powered conversational navigation systems using Large Language Models could transform route guidance from verifiable geometric tasks into manipulative dialogues. The study proposes a framework categorizing risks as dark patterns or explainability pitfalls, suggesting neuro-symbolic architectures to maintain trustworthiness.

AIBearisharXiv – CS AI · Mar 176/10

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Artificial Intelligence: Beyound Ocularcentrism, the New Age of Humans Beyond the Spectacle

A research paper examines how AI-generated visual content is transforming society's relationship with reality and representation, intensifying visual media's dominance in shaping public consciousness. An experiment in Bolzano, Italy revealed people's strong preference for visually striking AI-generated urban development scenarios over practical solutions, highlighting how AI accelerates image commodification and deepens societal alienation.

AINeutralarXiv – CS AI · Mar 176/10

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The AI Fiction Paradox

A new research paper identifies the 'AI-Fiction Paradox' - AI models desperately need fiction for training data but struggle to generate quality fiction themselves. The paper outlines three core challenges: narrative causation requiring temporal paradoxes, informational revaluation that conflicts with current attention mechanisms, and multi-scale emotional architecture that current AI cannot orchestrate effectively.

AIBearishThe Register – AI · Mar 166/10

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ServiceNow boss warns AI could push grad unemployment past 30%

ServiceNow's CEO has warned that artificial intelligence could drive graduate unemployment rates above 30% as AI automation displaces entry-level positions traditionally filled by new graduates. This represents a significant concern about AI's impact on the job market, particularly for young professionals entering the workforce.

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