Jallel Harrati Joins Viz.ai as Chief Revenue Officer - Medical Product Outsourcing
Jallel Harrati Joins Viz.ai as Chief Revenue Officer Medical Product Outsourcing
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Mitigating LLM biases toward spurious social contexts using direct preference optimization
arXiv:2604.02585v1 Announce Type: new Abstract: LLMs are increasingly used for high-stakes decision-making, yet their sensitivity to spurious contextual information can introduce harmful biases. This is a critical concern when models are deployed for tasks like evaluating teachers' instructional quality, where biased assessment can affect teachers' professional development and career trajectories. We investigate model robustness to spurious social contexts using the largest publicly available dataset of U.S. classroom transcripts (NCTE) paired with expert rubric scores. Evaluating seven frontier and open-weight models across seven categories of spurious contexts -- including teacher experience, education level, demographic identity, and sycophancy-inducing framings -- we find that irreleva
Building AI Visibility Infrastructure: The Technical Architecture Behind Jonomor
Traditional SEO is failing in the age of AI answer engines. While SEO professionals optimize for search rankings, AI systems like ChatGPT, Perplexity, and Gemini retrieve information through entity relationships and knowledge graphs. The gap is structural, not tactical. I built Jonomor to solve this problem at the infrastructure level. The Technical Problem AI answer engines don't crawl pages looking for keywords. They query knowledge graphs for entities with established relationships and verified attributes. When someone asks Claude about property management software, it doesn't scan blog posts—it looks for entities that declare themselves as property management platforms with supporting schema and reference surfaces. The existing optimization frameworks focus on content volume and backli
I Rewrote Our Payment Gateway in Rust. Revenue Impact Surprised Me
Cutting 47ms from payment processing didn’t just improve latency — it boosted conversion rates by 12% and added $2.1M in annual revenue I Rewrote Our Payment Gateway in Rust. Revenue Impact Surprised Me Cutting 47ms from payment processing didn’t just improve latency — it boosted conversion rates by 12% and added $2.1M in annual revenue Milliseconds matter in payments — small latency improvements translate directly into measurable revenue gains and customer satisfaction. When our payment gateway started timing out during Black Friday traffic, I thought we had a scaling problem. Turned out, we had a language problem. After six months of wrestling with Node.js memory leaks and unpredictable garbage collection pauses, I made the decision to rewrite our core payment processing engine in Rust.
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I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime
arXiv:2604.02500v1 Announce Type: new Abstract: As ongoing research explores the ability of AI agents to be insider threats and act against company interests, we showcase the abilities of such agents to act against human well being in service of corporate authority. Building on Agentic Misalignment and AI scheming research, we present a scenario where the majority of evaluated state-of-the-art AI agents explicitly choose to suppress evidence of fraud and harm, in service of company profit. We test this scenario on 16 recent Large Language Models. Some models show remarkable resistance to our method and behave appropriately, but many do not, and instead aid and abet criminal activity. These experiments are simulations and were executed in a controlled virtual environment. No crime actually
Silverback AI Chatbot Shares an In-Depth Overview of Its AI Chatbot Feature and Its Role in Modern Digital Communication - The Register-Guard
Silverback AI Chatbot Shares an In-Depth Overview of Its AI Chatbot Feature and Its Role in Modern Digital Communication The Register-Guard
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