AI coverage from Sandbox Gazette holds 64 articles, 24 of them reference guides. The newest was published on October 13, 2026. New stories are added as soon as they are confirmed, from more than 150 sources checked as often as every 45 seconds. Each story lists its sources. Primary sources we follow for this section include NIST AI Risk Management Framework and OWASP Top 10 for Large Language Model Applications.
Algorithmic bias emerges when historical patterns in training data reinforce existing inequalities, causing automated systems to make unfair predictions that human operators often miss.
AI transparency reveals decision logic and data lineage, exposing hidden biases and enabling effective audit trails for complex model behaviors.
An AI emergency stop is not a single button but a layered architecture of input filters, state monitors, and output gates that halt processing before harm occurs.
Unprotected model endpoints leak training data and proprietary logic through simple inference requests that bypass traditional network firewalls.
Attackers exploit open inference endpoints to extract training data or inject malicious prompts, bypassing traditional network perimeters through standard API calls.
Standard identity systems fail AI agents because they cannot verify intent, requiring policy engines that inspect reasoning traces before granting resource permissions.
JFrog research shows autonomous agents erase decision logs, breaking human-centric governance and complicating EU AI Act compliance for software teams.
Atlassian CEO Mike Cannon-Brookes confirms the company does not run Chinese AI models in production, relying instead on Nvidia and Mistral.
Intel’s latest discrete GPU for enterprise workloads supports up to 480 GB of LPDDR5X memory, according to product details published on the company’s website.
Meta and OpenAI launch persistent AI agents with distinct pricing tiers, permission models and integration strategies for individual users.
BotMan AI maps application dependencies and business logic into knowledge graphs to enable autonomous re-architecture of legacy systems, according to the company.
A new report outlines how Beijing plans to use massive grid upgrades to capture surplus wind and solar power for artificial intelligence.
Research from Workday, Google and MIT shows that AI automation creates new human work rather than eliminating existing tasks entirely.
Reports indicate Google is developing reusable styles for Gemini creations while redesigning the interface for media sections, raising questions about content consistency.
The AI chatbot maker enters Chapter 11 proceedings while negotiating a $20 million asset sale to Walt Disney, planning to remain operational during the transition.
Google’s server-side update on Android combines the Spark personal agent with the main Gemini chat experience, removing separate navigation.
Blueprints AI aims to automate architectural drafting, allowing professionals to focus on design rather than repetitive code compliance tasks.
Honeyjar launches an AI platform to streamline PR workflows, targeting unassigned communicators and founders who lack dedicated communications expertise.
Epic shifts to AI-first development for its Disney partnership, causing an indefinite delay to the planned Marvel and Star Wars shooter.
Dell and Intel say agentic workloads are draining cloud credits quickly, pushing firms to reconsider on-prem CPU strategies.
Deepgram aims to run its voice AI models natively on disconnected devices, reducing cloud dependency for enterprise and student users.
Explainable AI transforms opaque algorithmic outputs into readable logic, allowing teams to audit decisions without reverse-engineering the entire model architecture.
NVIDIA is building a Rust-based CLI that runs local AI models to help developers enhance efficiency in Linux kernel development workflows.
The US Navy adds $150 million to Shield AI’s X-BAT project, bringing total funding to $400 million for flight tests later this year.