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Foresight News reported that the cross-chain interoperability protocol Hyperbridge announced on Twitter that it has launched a bug bounty program on the security platform HackenProof. Independent security researchers can review the Hyperbridge codebase and submit vulnerability reports, which will be classified, confirmed, and rewarded within 3 days after approval.The reward range is as follows: low-risk vulnerabilities: $200, medium-risk: $2,000 to $5,000, high-risk: $5,000 to $15,000, and critical severity has a maximum reward of $50,000. The bounty program covers the entire protocol codebase, including issues such as logic flaws, access control, reentrancy attacks, cross-chain message forgery, and state manipulation. All testing must be conducted in a local fork environment, and attacks on online infrastructure are strictly prohibited.Previously, on April 13, Hyperbridge was attacked with estimated losses of around $2.5 million.

There are significant disagreements between management and employees regarding the profit-sharing plan, leading to escalating internal tensions within the company. This dispute highlights the common challenge of how to fairly distribute the fruits of innovation during periods of rapid growth in the technology industry. As artificial intelligence technology continues to drive surging performance, debates over profit distribution mechanisms are expected to persist and will have a profound impact on the company’s future compensation structure and employee morale.

Foresight News reports that the decentralized privacy AI platform FLock.io has launched FOMO Reward Season 1, with related rewards now available for claiming. Through a new mechanism, FOMO connects AI inference usage, model token staking, and FLOCK incentive allocation, forming an on-chain incentive loop driven by real usage.In FOMO Reward Season 1, users who call models via the FLock API platform and incur genuine usage costs can participate in the distribution of rewards for the corresponding model tokens. The more a user utilizes a particular model, the greater their weight in that model's reward pool; simultaneously, users can stake the model tokens they actually use to increase their reward weight and further gain FLOCK release rewards and model token incentives.This mechanism introduces AI inference usage into the on-chain incentive system: users generate real usage costs by calling the API and create demand for corresponding model tokens; staking the tokens used increases the reward weight, while holding gmFLOCK acts as a global multiplier across models, amplifying their ability to capture incentives in the overall model economy.FLock.io states that this mechanism is not merely a subsidy, but shifts FLOCK incentives from simple airdrop-style distribution to utility-based rewards supported by genuine AI demand. With OpenClaw, Hermes Agent, and additional third-party model tokens bringing real AI workloads, competition within the FLOCK reward cycle will continue to intensify. For early participants, the current phase is a window to establish positions in API usage, model token staking, and gmFLOCK multiplier, with early participation weights expected to be further amplified in subsequent reward cycles.