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19814 articles
AIBullisharXiv – CS AI · Feb 277/106
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On Discovering Algorithms for Adversarial Imitation Learning

Researchers have developed DAIL (Discovered Adversarial Imitation Learning), the first meta-learned AI algorithm that uses LLM-guided evolutionary methods to automatically discover reward assignment functions for training AI agents. This breakthrough addresses stability issues in adversarial imitation learning and demonstrates superior performance compared to human-designed approaches across different environments.

AINeutralarXiv – CS AI · Feb 277/107
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A Mind Cannot Be Smeared Across Time

A new academic paper proposes that machine consciousness requires simultaneous computation rather than sequential processing. The research introduces 'Stack Theory' with temporal semantics, arguing that conscious unity depends on objective co-instantiation of mental processes within specific time windows, potentially making software consciousness impossible on purely sequential computer architectures.

AIBullisharXiv – CS AI · Feb 277/103
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Controlling Exploration-Exploitation in GFlowNets via Markov Chain Perspectives

Researchers introduce α-GFNs, an enhanced version of Generative Flow Networks that allows tunable control over exploration-exploitation dynamics through a parameter α. The method achieves up to 10× improvement in mode discovery across various benchmarks by addressing constraints in traditional GFlowNet objectives through Markov chain theory.

$LINK
AIBearisharXiv – CS AI · Feb 277/107
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GPT-4o Lacks Core Features of Theory of Mind

New research reveals that GPT-4o and other large language models lack true Theory of Mind capabilities, despite appearing socially proficient. While LLMs can approximate human judgments in simple social tasks, they fail at logically equivalent challenges and show inconsistent mental state reasoning.

AIBullisharXiv – CS AI · Feb 277/105
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K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model

Researchers introduce K-Search, a new GPU kernel optimization framework that uses co-evolving world models with LLMs to significantly improve performance over existing methods. The system achieves up to 14.3x performance gains on complex kernels by decoupling high-level planning from low-level implementation, addressing limitations of current automated optimization approaches.

AINeutralarXiv – CS AI · Feb 277/106
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Latent Introspection: Models Can Detect Prior Concept Injections

Researchers discovered that a Qwen 32B AI model can detect when concepts have been injected into its context, even though it denies this capability in its outputs. The introspection ability becomes dramatically stronger (0.3% to 39.9% sensitivity) when the model is given accurate information about AI introspection mechanisms.

AINeutralarXiv – CS AI · Feb 277/106
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ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile Devices

Researchers introduce ProactiveMobile, a new benchmark for developing AI agents that can proactively anticipate user needs on mobile devices rather than just responding to commands. The benchmark includes over 3,600 test instances across 14 scenarios, with current models achieving low success rates, indicating significant room for improvement in proactive AI capabilities.

AIBullisharXiv – CS AI · Feb 277/106
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Abstracted Gaussian Prototypes for True One-Shot Concept Learning

Researchers introduce Abstracted Gaussian Prototypes (AGP), a new framework for one-shot concept learning that can classify and generate visual concepts from a single example. The system uses Gaussian Mixture Models and variational autoencoders to create robust prototypes without requiring pre-training, achieving human-level performance on generative tasks.

AINeutralarXiv – CS AI · Feb 277/106
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On the Complexity of Neural Computation in Superposition

Researchers establish theoretical foundations for neural network superposition, proving lower bounds that require at least Ω(√m' log m') neurons and Ω(m' log m') parameters to compute m' features. The work demonstrates exponential complexity gaps between computing versus merely representing features and provides first subexponential bounds on network capacity.

CryptoBullishThe Block · Feb 277/107
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SBI Holdings unveils trust bank-backed JPY stablecoin with Q2 launch target

SBI Holdings and Startale Group announced the launch of JPYSC, a Japanese yen-backed stablecoin, with issuance to be managed by SBI Shinsei Trust Bank. The stablecoin is targeting a Q2 launch, representing a significant move by one of Japan's major financial institutions into the digital asset space.

AIBearishDecrypt – AI · Feb 277/106
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Anthropic Won’t Lift AI Safeguards Amid Ongoing Pentagon Dispute: CEO

Anthropic CEO announced the company will refuse to comply with Defense Department demands to lift AI safeguards, as the Pentagon considers designating Anthropic as a "supply chain risk." This dispute highlights tensions between AI companies maintaining safety protocols and government agencies seeking access to less restricted AI capabilities.

Anthropic Won’t Lift AI Safeguards Amid Ongoing Pentagon Dispute: CEO
CryptoBullishDecrypt – AI · Feb 267/107
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Vitalik Buterin Maps Quantum Upgrade to Ethereum to Replace Core Cryptography

Ethereum co-founder Vitalik Buterin has presented a detailed roadmap for upgrading Ethereum's cryptographic infrastructure to defend against quantum computing threats. The phased approach targets replacing four core vulnerable cryptographic components that could be compromised by future quantum computers.

Vitalik Buterin Maps Quantum Upgrade to Ethereum to Replace Core Cryptography
$ETH
AINeutralTechCrunch – AI · Feb 267/103
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Anthropic CEO stands firm as Pentagon deadline looms

Anthropic CEO Dario Amodei refused to comply with Pentagon demands for unrestricted military access to the company's AI systems, citing moral objections. This stance creates tension between AI companies and government defense requirements as regulatory deadlines approach.

CryptoBullishDL News · Feb 267/106
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Vitalik proposes ‘quantum roadmap’ for Ethereum

Ethereum founder Vitalik Buterin has proposed a 'quantum roadmap' to protect the Ethereum blockchain from potential quantum computer threats. The proposal suggests that implementation could begin as early as the end of this year.

$ETH
AINeutralThe Verge – AI · Feb 267/105
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Jack Dorsey’s Block cuts nearly half of its staff in AI gamble

Jack Dorsey's Block is laying off nearly half its workforce, cutting over 4,000 jobs to reduce staff from 10,000+ to under 6,000 employees. Despite strong business performance with growing profits and customers, the company is restructuring to leverage AI tools with smaller, flatter teams.

CryptoBullishBitcoin Magazine · Feb 267/105
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Paul Atkins Confirmed As A Bitcoin 2026 Speaker

Paul Atkins, the current SEC Chairman, has been confirmed as a speaker at Bitcoin 2026, marking the first time a sitting SEC Chair will speak at the world's largest Bitcoin conference. This represents a historic moment for Bitcoin-regulatory relations and signals potential regulatory engagement with the cryptocurrency industry.

$BTC
AI × CryptoBullishCoinDesk · Feb 267/106
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Bitcoin Miner MARA jumps 17% after striking a deal with Starwood to build AI data centers

Bitcoin mining company MARA's stock jumped 17% following announcement of a partnership with investment firm Starwood to convert and expand mining facilities into AI data centers. This strategic pivot allows MARA to diversify revenue streams by leveraging existing infrastructure for the growing AI compute market.

$BTC
AI × CryptoBullishBankless · Feb 267/103
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Building the Agent Economy on Ethereum

The article discusses how AI agents require cryptocurrency infrastructure to achieve scalability. It explores the technological developments needed to build an AI agent economy on the Ethereum blockchain.

$ETH
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