OpenAIDavid Vélez and Robin Vince join the boards of the OpenAI Foundation and OpenAI Group PBC
Strategic governance and leadership implications of appointing David Vélez and Robin Vince to the OpenAI Foundation and OpenAI Group PBC boards, highlighting technology-driven inclusion, responsible AI deployment, and fintech-scale governance to expand AI access and value.
OpenAIOpenAI and Hugging Face partner to address security incident during model evaluation
A technical analysis of the OpenAI–Hugging Face security incident during model evaluation, detailing external reviews, vulnerability disclosures, containment measures, and implications for safer, auditable AI testing.
OpenAIIntroducing the ChatGPT for small business program
Technical overview of the ChatGPT for Small Business program, highlighting hands-on training, in-person AI academies, practical guides and plugins, and the ChatGPT Work platform powered by GPT-5.6 to extend capabilities, automate workflows, and scale small businesses.
StripeAnalyzing the evidence that helps businesses win “product not received” disputes
Comprehensive analysis of how delivery data, digital activity logs, and refund proofs influence win rates in 'product not received' disputes, with practical guidance and Stripe Smart Disputes automation to assemble the strongest evidence packets.
StripeAnalyzing the evidence that helps businesses win “product not received” disputes
A data-driven guide to winning product not received disputes by leveraging delivery confirmation, GPS delivery map, digital activity logs, and timely evidence submissions with Stripe Smart Disputes.
StripeAnalyzing the evidence that helps businesses win “product not received” disputes
Analyzes how evidence like delivery confirmation, GPS data, signatures, digital activity logs, service documentation, and refunds correlates with higher win rates in product-not-received disputes on Stripe, and how Smart Disputes automates building the strongest evidence packets.
SalesforceHow AI Reduced Customer Bug Triage from Nearly a Year to Less Than a Week
AI-powered BugWiser standardizes bug classification and cuts customer bug triage from over 300 person-days to less than a week by blending a custom machine-learning model with an enterprise large language model, delivering confidence-scored, explainable predictions and continuous learning that accelerate root-cause analysis and release insights.
SalesforceHow AI Reduced Customer Bug Triage from Nearly a Year to Less Than a Week
AI-powered BugWiser standardizes bug classification and accelerates root-cause analysis by combining a custom machine-learning model with an enterprise LLM, reducing bug triage from 300+ person-days to under a week.
Lambda LabsYour coding harness shouldn't be a black box
Explores how the AI harness gates model capability, and how Noumena's open-source NCode with open-weight models and targeted fine-tuning enables transparent, reliable deployment and testing.
Lambda LabsYour coding harness shouldn't be a black box
A rallying case for open, tunable AI harnesses—like NCode—demonstrating that open-weight models and transparent infrastructure deliver more reliable, higher-performance deployments than black-box systems.
DuolingoDear Duolingo: Why does Japanese have three writing systems?
A concise explanation of why Japanese has three writing systems—hiragana, katakana, and kanji—and how learners can tell them apart, their roles, and practical tips for studying them within Duolingo.
DuolingoDear Duolingo: Why does Japanese have three writing systems?
A technical overview of why Japanese uses three writing systems—hiragana, katakana, and kanji—covering their origins, roles, and practical tips for learners in a Duolingo-oriented context.