The Isomorphic Labs Drug Design Engine (IsoDDE) advances AI-driven drug discovery, surpassing AlphaFold 3 in predictive accuracy and enabling the identification of novel binding pockets. IsoDDE streamlines modeling of complex protein-ligand interactions and enhances small molecule binding affinity predictions, paving the way for innovative therapeutic developments.

In this second installment, we explore an AI-driven audit that uncovered a critical soundness bug in OpenVM's library affecting pairing checks. This vulnerability could allow malicious actors to forge pairing equalities. Our team's thorough validation confirmed the bug's severity, leading to its prompt resolution in the latest software update.

This article revisits the tale of the Rekursiv, an ambitious project by Scottish hi-fi company Linn Products in the 1980s. Despite its eventual failure, the concepts behind the Rekursiv have resurfaced in modern silicon, highlighting its early insights into object-oriented programming and memory management that were ahead of their time.

This article explores the effectiveness of Claude Fable 5 and GPT-5.6 Sol in solving an NP-hard optimization problem, evaluating their performance with and without the /goal mode. It finds that while Fable 5 consistently outperformed Sol, the /goal feature did not significantly enhance results.

Google DeepMind and Isomorphic Labs are advancing bioresilience through AI by preventing misuse, enhancing outbreak detection, and accelerating therapeutic responses. Their collaborations with governments and researchers aim to leverage AI for proactive health measures, ultimately building a more resilient society against future infectious threats.

Kimi K3 and Claude provide similar output quality and token efficiency, yet Kimi offers a significantly more affordable and flexible pricing structure. This stark contrast highlights the flaws in US AI regulation, as open models like Kimi may outpace American offerings, posing challenges for domestic users seeking access to the best technology.

This piece reflects on the complex relationship developers have with LLMs while programming. It discusses the dual nature of AI tools, providing efficiency but also leading to new forms of fatigue and dissatisfaction. The author shares personal insights on the evolving landscape of software development and the need for balance.

In 2026, technology poses both risks and solutions for domestic violence survivors. This article highlights the rise of tech-facilitated abuse and presents options for DV Safe Phones, specially configured to enhance privacy and safety. It emphasizes the role of technology in empowering individuals while seeking support and resources.

This study explores how our brains manage attention in multi-talker environments. Using EEG, researchers examined how listeners switch focus between competing speech streams. Findings reveal a simultaneous neural encoding of both streams during transitions, enhancing our understanding of auditory attention and speech processing in complex settings.

Capital One has launched VulnHunter, an open-source AI security tool that enhances code vulnerability detection. Shifting from traditional methods, it emphasizes a developer-friendly experience, focusing on precise analysis and actionable remediation. VulnHunter seeks to empower developers in addressing vulnerabilities proactively, fostering a collective defense in the tech community.

The introduction of a new timeout feature in Claude Code raised eyebrows when it allowed the AI to proceed without user input after 60 seconds. This led to questions about user trust and the decision-making process behind the feature's release—highlighting significant implications for users juggling multiple agents and tasks.

In New Zealand and beyond, open AI models are reshaping the landscape across diverse sectors, from health to agriculture. This article explores the growth, challenges, and market dynamics of open AI, highlighting how communities leverage shared resources to foster innovation and competition in the industry.

In an effort to regain control over his software, the author created "frame," a lightweight X server replacement built entirely in Assembly. Clocking in at 20,000 lines of code, frame improves efficiency and power consumption, providing a personalized computing experience while remaining stable and user-friendly.

Hyundai auto workers in South Korea are striking to protest the company's plans to implement humanoid robots in production. This strike represents a significant labor response to automation, with workers demanding better pay structures and retirement benefits amidst concerns over job security as Hyundai prepares to deploy thousands of robots.

This article focuses on optimizing a static search tree for efficient querying of sorted data, particularly in bioinformatics applications like genome indexing. It explores techniques such as SIMD instructions, batching, and various memory layouts to enhance throughput. The complete source code is available on GitHub for further exploration.