resilience

Startup failures are rising in 2025; the article emphasizes that execution discipline matters more than hype, citing notable failures like Builder.ai, Canoo, Lilium, and Rain AI.

This paper proposes CPSAINT, a seven-layer integrity decomposition for agentic AI systems, paired with FRIESA-K, a residual-risk functional based on absorbing Markov models. It bridges structural failure path analysis with quantified risk estimates, demonstrating the framework on warehouse robotics and financial-services agent scenarios.

Ben Horowitz shares advice for startup CEOs facing media criticism and internal stress, emphasizing the need to believe there is always an answer.

ResilixForge is an Apache-2.0 licensed async resilience toolkit for Python, providing retries, circuit breakers, bulkheads, and rate limiters.

Discussing the risks of relying on a single US frontier AI model and advocating for a diversified stack using Chinese alternatives like DeepSeek and Qwen, which can be run locally and are cheaper, for better resilience and data privacy.

This paper argues for localized fault recovery mechanisms in distributed systems, emphasizing the benefits of fixing failures at the component level rather than relying on global recovery.

Sam Altman shares Paul Graham's advice on being 'relentlessly resourceful,' emphasizing the importance of persistently trying different approaches to solve problems, a lesson many founders overlook.

This paper presents a skill-constrained model predictive control approach for resilient manufacturing supply chains, where training decisions affect future certified capacity. The controller solves a finite-horizon mixed-integer program and is evaluated on synthetic scenarios, showing that predictive control helps when bottlenecks are forecastable but is not universally superior.

Jensen Huang argues that resilience, not intelligence, is key to success, and that suffering builds character. He shared this advice with Stanford graduates, drawing from his own difficult experiences.

American Express describes its cell-based architecture for its core payments ecosystem that isolates failures, reduces latency, and scales capacity. The approach groups microservices and databases into independent cells to contain blast radius.

ReflectiChain bridges the epistemic gap between LLMs and RL for supply chain resilience using a generative world model and double-loop learning, improving rationale consistency by 33% and maintaining operability under adversarial shocks.

This survey synthesizes emerging research on proactive detection of adversarial synthetic content accelerated by Generative AI, proposing a lifecycle-based taxonomy using the C5 Interaction Model to integrate machine learning and social science approaches.

Twenty years after the 2006 police raid on The Pirate Bay, the site remains operational due to a last-minute backup made by co-founder Fredrik Neij, which allowed it to resurrect within three days and transform the raid into a publicity boost.

This thread summarizes key points from an essay arguing that AI safety risks do not require extraordinary government interventions, advocating instead for a resilience-based approach over nonproliferation.

Introduces AgentRevive, a Markov state-aware framework for resilient multi-agent collaboration that uses soft state transitions (Active, Standby, Terminated) to prevent premature pruning of agents that may recover, reducing token consumption while improving performance on reasoning and domain tasks.