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A step-by-step guide to detecting and preventing reward hacking in RL and RLHF, covering reward analysis, anomaly monitoring, ablation studies, countermeasures, and validation with independent metrics.
A practical guide to using test-time compute and chain-of-thought reasoning to improve AI model performance on complex tasks, with step-by-step instructions from prompting to evaluation.
On April 9, 2026, attackers compromised CPUID's download infrastructure, serving malware via official downloads. SentinelOne's AI EDR autonomously detected and blocked the attack within seconds.
Exploring how frontier AI models accelerate autonomous cyber defense, close the vulnerability-risk gap, and stop supply chain attacks at machine speed.
Explores how automation and AI reshape cybersecurity: automation as machine multiplier, AI for context, reducing workload, risks of AI without automation, and implementation best practices.
Q&A on hypersonic supply chain attacks: how three zero-days were stopped, the AI arms race, and behavioral defense strategies for unknown payloads.
Week 19: Court sentences for Karakurt negotiator and DPRK IT facilitators; PCPJack worm steals cloud credentials at scale.
13 critical vulnerabilities in vm2 JavaScript sandbox allow code escape and arbitrary execution. Urgent update to 3.11.2 required.
Twelve architectural cuts can slash AI training costs by up to 90%. Experts detail first four: fine-tune, LoRA, warm-start embeddings, and gradient checkpointing.
Hyperscalers' aggressive memory buying spree drives up prices for enterprises, forcing migration decisions that may not align with long-term strategy.
Python developers face significant challenges in creating standalone apps, backing up SQLite databases, and installing on air-gapped systems. New language features aim to address some issues, but tooling gaps remain.
Engineering teams are restructuring around AI agents, creating new bottlenecks in code review and security. Expert quotes reveal urgency.
Meta escaped the WebRTC forking trap by building a dual-stack architecture enabling safe A/B testing across 50+ use cases, continuous upgrades, and gains in performance, size, and security.
Meta shares its post-quantum cryptography migration framework, including risk assessment, deployment, and PQC Migration Levels, to help organizations defend against quantum threats and store-now-decrypt-later attacks.
Meta's Capacity Efficiency Program uses unified AI agents to automate finding and fixing performance issues, recovering hundreds of megawatts and compressing hours of investigation into minutes.
Facebook Groups search overhaul uses hybrid retrieval and automated evaluation to overcome keyword limitations, making community knowledge easier to discover, consume, and validate.
Meta enhances end-to-end encrypted backups with HSM-based vault, over-the-air fleet key distribution for Messenger, and transparent fleet deployment proofs.
A detailed tutorial on the science of pregnancy, covering conception, trimesters, maternal changes, and common mistakes. Perfect for expectant parents or curious learners.
SPIFFE secures non-human identities with verifiable, dynamic, and federated trust, essential for autonomous AI agents in zero-trust environments.
Discover seven proven methods to automate secret lifecycle management in Kubernetes using HashiCorp Vault, from native secrets to VSO, with tradeoffs and best practices.