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62866 articles
CryptoBullishThe Block · Apr 77/10
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Polygon to activate Giugliano hardfork this week for faster finality

Polygon is set to activate the Giugliano hardfork on April 8, 2024, which will improve transaction finality and integrate fee parameters directly into block headers. This upgrade aims to enhance the network's performance and efficiency for users and developers.

Polygon to activate Giugliano hardfork this week for faster finality
$MATIC
CryptoBearishCoinTelegraph · Apr 77/10
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New evidence in Libra probe renews questions about Milei involvement

New documents revealed by The New York Times show that Argentine President Milei had seven phone calls with the entrepreneur behind the Libra token, raising fresh questions about his potential involvement in the project. This evidence emerges as part of an ongoing investigation into the controversial cryptocurrency initiative.

New evidence in Libra probe renews questions about Milei involvement
DeFiNeutralCoinTelegraph · Apr 77/10
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Solana Foundation looks to beef up DeFi security as attacks continue

The Solana Foundation and Web3 security firm Asymmetric Research launched a new security initiative called STRIDE along with a real-time incident-response network. This move comes as DeFi attacks continue to plague the Solana ecosystem, highlighting the need for enhanced security measures.

Solana Foundation looks to beef up DeFi security as attacks continue
$SOL
AIBearisharXiv – CS AI · Apr 77/10
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The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading

New research reveals that while AI tools boost short-term worker productivity, sustained use erodes the underlying skills that enable those gains. The study identifies an 'augmentation trap' where workers can become less productive than before AI adoption due to skill deterioration over time.

$MKR
AIBearisharXiv – CS AI · Apr 77/10
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Comparative reversal learning reveals rigid adaptation in LLMs under non-stationary uncertainty

Research reveals that large language models like DeepSeek-V3.2, Gemini-3, and GPT-5.2 show rigid adaptation patterns when learning from changing environments, particularly struggling with loss-based learning compared to humans. The study found LLMs demonstrate asymmetric responses to positive versus negative feedback, with some models showing extreme perseveration after environmental changes.

🧠 GPT-5🧠 Gemini
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