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A Chromium vulnerability affects all versions of Mist Browser Beta v0.9.3 and below, prompting a security alert advising users to avoid browsing untrusted websites. The Ethereum Wallet desktop app remains unaffected by this security issue.
New robotics techniques enable robot controllers trained entirely in simulation to successfully operate on physical robots and adapt to unexpected environmental changes. This breakthrough represents a shift from open-loop to closed-loop robotic systems that can react dynamically to real-world conditions.
The Ethereum network is scheduled to undergo the Byzantium hard fork at block 4,370,000, expected to occur between 12:00-13:00 UTC on October 16, 2017. The Ropsten test network already successfully completed the hard fork on September 19th at block 1,700,000.
Researchers demonstrate that AI self-play training enables simulated agents to autonomously develop complex physical skills like tackling, ducking, and ball handling without explicit programming. Combined with successful Dota 2 results, this suggests self-play will be fundamental to future powerful AI systems.
Ethereum's Metropolis hard fork is approaching, with Byzantium (the first phase) successfully tested on testnet and scheduled for mainnet deployment at block 4.37 million around October 17. This represents a significant upgrade to the Ethereum network with new features being introduced.
The Go Ethereum team released Geth 1.7 'Megara', featuring 125+ code contributions that prepare the network for the upcoming Metropolis hard forks, specifically Byzantium and Constantinople. This release focuses on laying essential groundwork for these major Ethereum protocol upgrades.
Ethereum's development continues progressing toward the Metropolis upgrade launch. Core developer calls over recent months have resulted in the specification and finalization of Ethereum Improvement Proposals (EIPs) for the upcoming hard fork.
OpenAI's Dota 2 AI system demonstrated rapid improvement through self-play, advancing from matching high-ranked players to beating top professionals in just one month. The system showcases how self-play can drive AI performance from sub-human to superhuman levels when given sufficient computational resources.
OpenAI has developed an AI bot that defeats world-class professional players in 1v1 Dota 2 matches under standard tournament rules. The bot learned entirely through self-play without using imitation learning or tree search techniques, representing a significant advancement in AI systems handling complex, real-world scenarios.
OpenAI has released Proximal Policy Optimization (PPO), a new class of reinforcement learning algorithms that matches or exceeds state-of-the-art performance while being significantly simpler to implement and tune. PPO has been adopted as OpenAI's default reinforcement learning algorithm due to its ease of use and strong performance characteristics.
Researchers have developed adversarial images that can consistently fool neural network classifiers across multiple scales and viewing perspectives. This breakthrough challenges previous assumptions that self-driving cars would be secure from malicious attacks due to their multi-angle image capture capabilities.
OpenAI and DeepMind have collaborated to develop an algorithm that can learn human preferences by comparing two proposed behaviors, eliminating the need for humans to manually write goal functions. This approach aims to reduce dangerous AI behavior that can result from oversimplified or incorrect goal specifications.
A new robotics system has been developed that can learn new tasks after observing them just once, with training conducted entirely in simulation before deployment on physical robots. This represents a significant advancement in one-shot learning capabilities for robotics applications.
A bug in the Solidity optimizer was discovered and reported through the Ethereum Foundation Bounty program by Christoph Jentzsch. The vulnerability has been patched with the release of Solidity version 0.4.11 on May 3, 2017.
OpenAI has developed an unsupervised machine learning system that learns to understand sentiment by only being trained to predict the next character in Amazon review text. This breakthrough demonstrates that neural networks can develop sophisticated understanding of human sentiment without explicit sentiment training data.
Researchers have found that evolution strategies (ES), a decades-old optimization technique, can match the performance of modern reinforcement learning methods on standard benchmarks like Atari and MuJoCo. This discovery suggests ES could serve as a more scalable alternative to traditional RL approaches while avoiding many of RL's practical limitations.
OpenAI has published new research demonstrating that AI agents can develop their own communication language. This research explores emergent communication capabilities in artificial intelligence systems.
Ethereum R&D team and Zcash Company are collaborating on the Zcash on Ethereum (ZoE) research project, which aims to combine blockchain programmability with privacy features. This joint initiative explores integrating Zcash's privacy capabilities with Ethereum's smart contract functionality.
Ethereum.org's forum database was compromised on December 16, 2016, with unauthorized access to user information. The Ethereum Foundation immediately launched an investigation to determine the scope and nature of the security breach.
A new software platform called Universe has been released for measuring and training artificial intelligence across games, websites, and applications. The platform appears designed to develop and evaluate AI's general intelligence capabilities using real-world digital environments.
A critical consensus bug was discovered in Geth versions v1.4.19 and v1.5.2 related to the journaling mechanism, causing an Ethereum network fork at block #2686351 on November 24, 2016. This represents a high-severity security issue affecting Ethereum's consensus layer and network stability.
The Go Ethereum team has released Geth 1.5, representing an almost complete internal rewrite of the Go Ethereum codebase. This major update contains extensive changes that the team considers significant enough to warrant detailed explanation rather than a simple feature list.
A critical security vulnerability affects Solidity compiler versions 0.1.6 to 0.4.3, allowing storage variables smaller than 256 bits to overwrite other variables when packed together. This bug could lead to unexpected behavior and potential security exploits in smart contracts compiled with these versions.
Mist browser has security vulnerabilities that expose low-level APIs, allowing malicious DApps to access users' file systems and potentially read or delete files. Users are strongly advised to upgrade Mist immediately to protect against these exploits when navigating to untrusted decentralized applications.
The Ethereum network is scheduled to undergo a hard fork at block number 2463000, expected to occur between 12:00-13:00 UTC on October 18, 2016. This represents a significant network upgrade that will affect all Ethereum participants and requires coordination across the ecosystem.
