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Ethlabs: Existing funds can support 2–3 years of development, adhering to non-profit and neutral governance

Ethlabs published a response on platform X regarding its nonprofit positioning and funding situation, stating that the choice to operate under a nonprofit structure is to focus on the long-term development needs of Ethereum as a "public good" and to maintain the organization's independence and neutrality in research and development.In terms of governance structure, Ethlabs pointed out that its funding comes from large ETH holders and Ethereum ecosystem builders, whose interests are highly aligned with the long-term success of Ethereum, but they will not gain any governance control or participate in roadmap formulation or project prioritization decisions. Ethlabs emphasized that this arrangement is intentionally designed to avoid external funding influencing core directions.At the same time, Ethlabs stated that the future continuous financing mechanism itself is also a form of "accountability mechanism," meaning that only by continuously creating real value for the Ethereum ecosystem can they obtain subsequent funding support, thus forming a long-term feedback loop.Regarding funding, Ethlabs revealed that it is currently in the final stages of financing and has not disclosed specific amounts, but the committed funds already obtained are expected to support an operational cycle of 2 to 3 years and cover the recruitment needs for top talent. Ethlabs emphasized its positioning as a long-term project, not a one-time funding plan.

ForeGate releases the "ForeGate 2026 World Cup Winning Guide" research report, in collaboration with OneBullEx, supported by Michael Owen, OKX, and others

According to official news, the ForeGate supercomputing database, in collaboration with football legend Michael Owen, OneBullEx, OKX, and WEEX, has officially released the "ForeGate 2026 World Cup Winning Guide" match research report.This report focuses on the progress of the 2026 World Cup schedule in the US, Canada, and Mexico, conducting a systematic analysis of the qualification probabilities, advancement paths, championship probabilities, win-draw-loss trends, and betting tendencies of the 48 participating teams. The report combines the ForeGate AI prediction model with OKX data path simulations and continuously updates based on real-time match results, team conditions, and potential matchup changes. Currently, the comprehensive prediction accuracy of the related models has reached 93.8%, demonstrating strong data analysis capabilities in aspects such as match result response, point calibration, and advancement path judgment.ForeGate stated that during the World Cup, it will continuously update prediction content based on match results, team conditions, and model simulation results to help users understand the probabilistic logic behind schedule changes. Meanwhile, the ForeGate World Cup million-dollar prediction event is also in full swing, where users can participate in match predictions to share in the million-dollar rewards.As the World Cup schedule continues to progress, OneBullEx will combine the match data and related content from the report to keep a close eye on the dynamics of the matches, further enriching community participation and match discussions during the World Cup, providing users with more reference perspectives for observing match trends.

OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.
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