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[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

@CashRush_Game @nordicrypto_eth @DonDikCash Hi

[DeepSafe @DeepSafe_AI]

Stop web3 from turning into an ATM😅

[DeepSafe @DeepSafe_AI]

Security is the cornerstone of trust, and evolution is the only way forward

We express deep concern over the Bybit cold wallet hack, and sincerely hope Bybit can overcome this challenge soon. This incident is not just a devastating blow to a single platform but serves as a wake-up call for the entire Web3 ecosystem—when the industry becomes obsessed with functional innovation while neglecting foundational defense, all participants will ultimately pay the price. History repeatedly proves that negligence in security essentially amounts to overdrawing user trust.

The root cause of this attack extends far beyond the technical vulnerability itself. It lies in the industry's long-standing cognitive trap: blindly worshipping the myth of "cold storage" physical isolation, reducing multi-sig mechanisms to mere formalistic procedures while turning a blind eye to human vulnerabilities in the signing process; relying on fragile manual review defenses while refusing to build systematic automated verification systems; and still using static solutions to counter dynamic threats in an era where attack vectors are evolving across layers. If security continues to be viewed as a "compromisable cost" rather than an "unshakeable foundation," the cycle of disasters will never end.

This is precisely why DeepSafe has chosen to reconstruct the security paradigm through technical rationality. The #CRVA (Crypto Random Verification Agent) builds a dynamic defense through three mechanisms: Zero-Knowledge Proofs (#ZKP) verify real-time consistency between user intent and on-chain data, eliminating the possibility of frontend address manipulation inducing malicious signatures at the source; Multi-Party Computation (#MPC) fragments private keys across dynamically rotating verification nodes, rendering single-point infiltration completely ineffective; and Ring-VRF rotate CRVA every ten minutes, depriving attackers of any anchor points for long-term infiltration.

We deeply understand that no technology can provide absolute perfect defense, but the industry's responsibility lies in making attack costs exceed potential returns. DeepSafe has opened access to all Web3 projects—this isn't about commercial competition but about the logic of survival. When every citadel in this dark forest builds cryptographic walls, predators' ambitions will ultimately perish on the stake of costs. We urge practitioners to stop self-sedating with "pseudo-security" and view the iteration of defense systems as a core mission equally important as protocol functionality. Only then can Web3 truly break free from the "trust trap" and make freedom and security two sides of the same coin.

True decentralization never compromises on security.

[Om Pathak @OmPatha7547967]

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[DeepSafe @DeepSafe_AI]

🌱 When gardening becomes the key to virality, have we forgotten the nourishment of the soil?
Plant a single seed, and overnight the garden overflows with identical potted plants.
The gardener says: "I only water — the weeds are the community's passion."

A garden overrun with weeds will ultimately yield nothing but barrenness.
Innovation is the foundation, consensus the sunlight and water — not short-lived stimulants.

[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

@DeepSafe_AI @aixbt_agent Hi

[Om Pathak @OmPatha7547967]

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[DeepSafe @DeepSafe_AI]

📢 CRVA Nodes Upgrade Notice

The latest on-chain version, version 37, corresponding to image V0.12.18, is now available. All nodes must be upgraded by February 13th to ensure seamless operations.

Key Optimizations:
1⃣Enhanced MPC algorithm execution efficiency.
2⃣Significant memory usage optimization.
3⃣Logical updates to ensure state continuity.

Check and upgrade NOW to ensure the operation!

[DeepSafe @DeepSafe_AI]

Reflections on AI Autonomy: Anxiety and Reality in Power Restructuring

In today's rapidly evolving AI technology landscape, discussions about AI autonomy are becoming increasingly intense. Some voices express concern about AI potentially acting beyond human expectations, while others emphasize the need for strengthened AI oversight. However, when we carefully examine these discussions, we can discern deeper historical parallels. This reminds us of the 1990s when the internet was emerging, and traditional media expressed various concerns about the networked society: changes in information dissemination, shifts in social interaction patterns, and adjustments to existing order. History has shown that these concerns largely stemmed from anxieties about the restructuring of their own interests rather than actual challenges posed by the technology itself.

Today's discussions about AI autonomy are, to some extent, recreating this historical scenario. When we discuss AI's autonomous decision-making capabilities, we often overlook a fundamental fact: AI systems' behaviors are actually constrained by clearly defined permission boundaries. An AI trading program granted limited funds, regardless of how sophisticated its algorithms may be, cannot breach this resource constraint to conduct larger-scale operations. This demonstrates that AI's actual capabilities are directly related to its granted permissions, rather than determined by its level of intelligence.

Modern AI infrastructure development has provided us with mature governance mechanisms. Through the combination of technologies such as #TEE, #MPC, and #ZKP, we can ensure behavioral predictability while maintaining AI autonomy. These technological advances demonstrate that "Autonomy" and "Controllability" are not opposing concepts but can achieve balance through carefully designed technical frameworks.

Upon deeper observation, concerns about AI autonomy largely reflect established stakeholders' anxieties about power restructuring. Platform technology companies are focused on how decentralized AI might affect their intermediary roles, traditional industries are contemplating the transformations brought by AI's lowering of industry barriers, and certain institutions hope to participate in AI development's discourse through risk emphasis. The essence of these concerns is less about worries over technological development and more about contemplating power redistribution.

Facing AI development, what we need is not to limit its development potential, but to construct governance mechanisms and transparent rule systems based on technology. Historical experience tells us that excessive worry often stems from misunderstanding of change, while rational facing and active adaptation are the correct attitudes. In the foreseeable future, AI's development direction is likely to create greater value for human society within clearly defined permission boundaries.

[Om Pathak @OmPatha7547967]

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[Om Pathak @OmPatha7547967]

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