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Coinversation Protocol is a DeFi protocol platform of the Polkadot ecology. It has been expanded from a synthetic asset protocol to a derivative ecosystem, including parachains, DEX, synthetic assets, and stablecoin protocols.
Sooth Labs Secures $50 Million in Funding, Felicis Ventures Participates
Sooth Labs, an AI prediction laboratory founded by former Meta executives and a CMU professor team, is completing a $50 million funding round at a $335 million valuation, led by Felicis Ventures. Yann LeCun and Jeff Dean are participating as individual investors, and Meta CTO Andrew Bosworth serves as an advisor. The company specializes in multimodal AI event probability prediction, serving institutions in finance, defense, insurance, and other sectors, and has already provided probability predictions for events such as the WHO pandemic and Anthropic's IPO.
Sooth Labs plans to raise approximately $50 million to develop AI models for event prediction.
According to Bloomberg, Sooth Labs, an AI lab founded by former Meta employees, is raising approximately $50 million in funding, led by Felicis Ventures, with a post-money valuation of about $335 million. The company plans to develop AI models that predict the probability of specific geopolitical and market events, offering these capabilities to enterprises. Sooth Labs has also received support from Yann LeCun and Google’s Chief Scientist Jeff Dean, and Meta’s CTO Andrew Bosworth serves as an advisor.
OpenGradient Raises $9.5M, with Participation from a16z crypto
OpenGradient, a verifiable AI computation layer, has announced the completion of a $9.5 million funding round. Investors include a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, Pragma, SALT, Symbolic Capital, Canonical Crypto, Black Dragon, NEAR, Celestia, Thanefield Capital, and angel investors including Balaji Srinivasan, former CTO of Coinbase. The new funds will support the development and expansion of a decentralized infrastructure network for hosting, executing, and verifying AI models—enabling open and auditable model execution.
Ledger CTO Analyzes Post-Quantum Cryptography Migration, Blockchain Favors Hash-Based Signature Schemes
Ledger Chief Technology Officer Charles Guillemet pointed out that the development of post-quantum cryptography has entered a critical stage. Although the timeline for a practical quantum computer remains unclear, a full-scale migration of the encryption systems across the industry is an inevitable trend. Led by NIST, the traditional sector plans to phase out high-risk algorithms by 2030 and completely ban them by 2035, with government and enterprise institutions expected to complete their migration layouts by 2029. Encryption and key exchange will adopt ML-KEM to defend against quantum decryption attacks on harvested data, with digital signatures becoming the core of blockchain transformation. The traditional industry prefers ML-DSA hybrid schemes, while the blockchain sector favors the more secure and robust SLH-DSA hash-based signature. Both schemes have their respective advantages and disadvantages. The compatibility challenges of post-quantum algorithms with MPC and threshold signatures remain a key risk that the industry urgently needs to address.
AI-Driven Vulnerability Bounty Reports Surge, Leaving Crypto Protocol Teams Overwhelmed by “AI Spam”
According to Cointelegraph, the widespread adoption of AI is driving up the number of submissions to cryptocurrency industry bug bounty programs—but a flood of low-quality “AI spam” reports has also emerged, placing a heavy burden on protocol teams for triaging. Barry Plunkett, Co-CEO of Cosmos Labs, stated that submission volume to its platform surged 900% year-on-year, with 20–50 reports received daily; Kadan Stadelmann, CTO of Komodo Platform, likewise noted a marked rise in low-quality and false-positive reports, attributing the root cause primarily to AI’s drastic reduction in the cost of generating reports. Daniel Stenberg, creator of the open-source tool curl, has already shut down his bug bounty program outright due to being overwhelmed. In response, industry insiders recommend that teams deploy defensive AI systems to automatically triage reports and adopt stricter submission criteria—reducing the volume of invalid reports and ensuring genuine vulnerabilities receive timely attention.
Sooth Labs plans to raise approximately $50 million to develop AI models for event prediction.
According to Bloomberg, Sooth Labs, an AI lab founded by former Meta employees, is raising approximately $50 million in funding, led by Felicis Ventures, with a post-money valuation of about $335 million. The company plans to develop AI models that predict the probability of specific geopolitical and market events, offering these capabilities to enterprises. Sooth Labs has also received support from Yann LeCun and Google’s Chief Scientist Jeff Dean, and Meta’s CTO Andrew Bosworth serves as an advisor.
OpenGradient Raises $9.5M, with Participation from a16z crypto
OpenGradient, a verifiable AI computation layer, has announced the completion of a $9.5 million funding round. Investors include a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, Pragma, SALT, Symbolic Capital, Canonical Crypto, Black Dragon, NEAR, Celestia, Thanefield Capital, and angel investors including Balaji Srinivasan, former CTO of Coinbase. The new funds will support the development and expansion of a decentralized infrastructure network for hosting, executing, and verifying AI models—enabling open and auditable model execution.
Related news
Ledger CTO Analyzes Post-Quantum Cryptography Migration, Blockchain Favors Hash-Based Signature Schemes
Ledger Chief Technology Officer Charles Guillemet pointed out that the development of post-quantum cryptography has entered a critical stage. Although the timeline for a practical quantum computer remains unclear, a full-scale migration of the encryption systems across the industry is an inevitable trend. Led by NIST, the traditional sector plans to phase out high-risk algorithms by 2030 and completely ban them by 2035, with government and enterprise institutions expected to complete their migration layouts by 2029. Encryption and key exchange will adopt ML-KEM to defend against quantum decryption attacks on harvested data, with digital signatures becoming the core of blockchain transformation. The traditional industry prefers ML-DSA hybrid schemes, while the blockchain sector favors the more secure and robust SLH-DSA hash-based signature. Both schemes have their respective advantages and disadvantages. The compatibility challenges of post-quantum algorithms with MPC and threshold signatures remain a key risk that the industry urgently needs to address.
Sooth Labs Secures $50 Million in Funding, Felicis Ventures Participates
Sooth Labs, an AI prediction laboratory founded by former Meta executives and a CMU professor team, is completing a $50 million funding round at a $335 million valuation, led by Felicis Ventures. Yann LeCun and Jeff Dean are participating as individual investors, and Meta CTO Andrew Bosworth serves as an advisor. The company specializes in multimodal AI event probability prediction, serving institutions in finance, defense, insurance, and other sectors, and has already provided probability predictions for events such as the WHO pandemic and Anthropic's IPO.
Sooth Labs plans to raise approximately $50 million to develop AI models for event prediction.
According to Bloomberg, Sooth Labs, an AI lab founded by former Meta employees, is raising approximately $50 million in funding, led by Felicis Ventures, with a post-money valuation of about $335 million. The company plans to develop AI models that predict the probability of specific geopolitical and market events, offering these capabilities to enterprises. Sooth Labs has also received support from Yann LeCun and Google’s Chief Scientist Jeff Dean, and Meta’s CTO Andrew Bosworth serves as an advisor.
AI-Driven Vulnerability Bounty Reports Surge, Leaving Crypto Protocol Teams Overwhelmed by “AI Spam”
According to Cointelegraph, the widespread adoption of AI is driving up the number of submissions to cryptocurrency industry bug bounty programs—but a flood of low-quality “AI spam” reports has also emerged, placing a heavy burden on protocol teams for triaging. Barry Plunkett, Co-CEO of Cosmos Labs, stated that submission volume to its platform surged 900% year-on-year, with 20–50 reports received daily; Kadan Stadelmann, CTO of Komodo Platform, likewise noted a marked rise in low-quality and false-positive reports, attributing the root cause primarily to AI’s drastic reduction in the cost of generating reports. Daniel Stenberg, creator of the open-source tool curl, has already shut down his bug bounty program outright due to being overwhelmed. In response, industry insiders recommend that teams deploy defensive AI systems to automatically triage reports and adopt stricter submission criteria—reducing the volume of invalid reports and ensuring genuine vulnerabilities receive timely attention.
Coinbase Advances Internal Testing of AI Agents
According to Decrypt, Coinbase is testing AI agents integrated with Slack and email as virtual colleagues to provide high-level feedback to employees. The first two systems are modeled after the decision-making styles of co-founder Fred Ehrsam and former CTO Balaji Srinivasan: the “Fred” agent assists with refining documents, strategies, and concepts, while the “Balaji” agent focuses on stimulating innovation and new perspectives. Coinbase CEO Brian Armstrong stated that the next step is to make it easier for employees to create additional agent colleagues. He noted that future agents need not be digital replicas of real people, and added that the company’s number of AI agents could surpass its human headcount “at some point soon.”
OpenGradient Raises $9.5M, with Participation from a16z crypto
OpenGradient, a verifiable AI computation layer, has announced the completion of a $9.5 million funding round. Investors include a16z crypto, Coinbase Ventures, SV Angel, Foresight Ventures, Pragma, SALT, Symbolic Capital, Canonical Crypto, Black Dragon, NEAR, Celestia, Thanefield Capital, and angel investors including Balaji Srinivasan, former CTO of Coinbase. The new funds will support the development and expansion of a decentralized infrastructure network for hosting, executing, and verifying AI models—enabling open and auditable model execution.