This study presents a multi-agent method for NL2SQL that achieves 78.1% semantic accuracy on the BIRD benchmark. It leverages semantically enriched schema representation and business rules to generate accurate SQL queries, with key contributions including an optimized orchestrator, advanced schema enrichment, and demonstrated cross-domain generalization.

The paper introduces LBW-Guard, a bounded autonomous training control governance layer operating above AdamW. By observing training telemetry and applying bounded control, it improves LLM training stability and efficiency. Experiments on Qwen2.5 models show 18.7% perplexity reduction and 1.10x speedup on the 7B model, and it maintains trainability under aggressive learning rates where AdamW collapses.

This study evaluates the potential of large language models (LLMs, Gemini 3.0 Flash) to provide helpful answers to health queries when supplemented with personal health record (PHR) data. Using 2,257 queries and 1,945 de-identified PHRs, the researchers compared responses generated without PHR context, with a basic summary, and with full clinical notes. Results show significant improvements in helpfulness across all query types (p < 0.001), with gains in safety, accuracy, relevance, and personalization. A new evaluation framework identified gaps such as temporal disorientation and rare confabulations.

This paper presents a microservice architecture that encapsulates pipelines for classification, OCR, and LLM-based structured field extraction, sharing production experience handling thousands of multi-page documents per hour. Key design decisions include hybrid classification, separation of GPU-bound inference from CPU-bound orchestration, asynchronous processing, and independent horizontal scaling. Batch profiling reveals that OCR dominates end-to-end latency, and system saturation is determined by shared GPU-inference capacity rather than worker count.

A new position paper proposes developing 'data probes'—synthetic sequences generated from random processes—to systematically study how data characteristics influence LLM performance. The approach aims to move beyond empirical heuristics towards foundational understanding.

With over 25% of the U.S. manufacturing workforce aged 55+, critical operational knowledge is at risk of being lost. This article explores how generative AI can convert expert know-how into structured digital work instructions, reduce defects, and enable knowledge transfer at scale.

Google I/O 2026 unveiled Gemini 3.5 Flash (GA with 1M context, 65k output, 4 thinking levels, thought preservation), Gemini Omni (multimodal video generation/editing), Antigravity 2.0 (desktop, CLI, SDK, managed agents), and generative UI and information agents in Search. Google claims 3.2 quadrillion tokens/month processed (7x YoY) and 900M+ monthly Gemini users.

Ted Chiang discusses the incompatibilities between generative AI and art, arguing that AI is used by capitalism to extract value, while humanities education aims to produce more than factory workers. He doubts AI can aid creative writing, comparing using ChatGPT for essays to bringing a forklift into the weight room. He recommends the TV series ANDOR for its nuanced depiction of fighting fascism.

AI governance isn't slowing down AI adoption; it's what makes scaled AI possible. The false dichotomy between fast AI and safe AI is resolved by recognizing that safety enables faster deployment with trust.

The high failure rate of enterprise AI pilots stems from fundamental architecture issues. Employees using consumer chatbots risk data leaks. 'Vibe coding' produces vulnerable code, creating delayed security threats.

The AI and Big Data programme on day two of TechEx North America referred at least once to the “AI graveyard,” meaning the large number of pilots that never become durable systems. That phrase set the tone. The question was proof. The Enterprise AI Implementation, ROI and Adoption track dealt with the hard middle of AI work. Its sessions covered stalled pilots, agentic AI for business impact, the move from experimentation to impact, the decision to buy or build, and durable ROI and autonomous decisioning. A system has to be adopted, governed and measured before it deserved to be called successful.

Ember is a benchmark that compares AI model predictions against Polymarket outcomes over a year, using Brier score for evaluation.

A white paper reveals that NVIDIA A100 GPUs can draw up to 146.66 watts while reporting 0% utilization, exposing a critical blind spot in GPU telemetry. The author proposes a new energy efficiency benchmark (CEI) and an open-source optimizer to detect such 'GHOST' anomalies.

At AMD's first AI Developer Conference in Shanghai, CEO Lisa Su declared that AI is redefining every layer of computing. The competitive focus is shifting from model capabilities to systems engineering and full-stack optimization. With China leading in open ecosystems, AMD is doubling down on its developer ecosystem, providing end-to-end computing from cloud to edge, powered by the ROCm open-source platform, to help developers tackle the new challenges of the agent era.

StartupStarter is an AI-native operating system for founders, integrating CRM, inbox, agents, documents, finance, and fundraising into one workspace. Its AI assistant S2X learns business operations and automates tasks like managing emails, drafting replies, handling deals, preparing data rooms, and more. The platform also offers relationship intelligence, adaptive learning, and continuous signal processing.

The rise of AI-powered wearable recording devices poses new privacy challenges. From Mafia's counter-surveillance measures to modern technological countermeasures, the article explores the arms race between surveillance and counter-surveillance, noting that tech giants may have the upper hand.

Google announced its first AI smart glasses launching this fall in partnership with Samsung, Gentle Monster, and Warby Parker. Running Android XR, the glasses feature cameras, speakers, and microphones but no display. Integrating Gemini AI, they offer visual recognition, navigation, calls, messages, music, photo/video capture, real-time translation, and more. They also work with iPhones. Apple's competing glasses are expected in 2027.

A list of user agents that crawled Hacker News today, showcasing the diversity of browsers, search engine bots, AI crawlers, and custom scripts accessing the site.

Applied Compute trains custom AI agents for enterprises using Reinforcement Learning, focusing on post-training to differentiate from commoditized frontier models. Their 'Specific Intelligence' approach leverages Modal's infrastructure for fast, flexible, and reliable RL training loops serving clients like DoorDash, Cognition, and Mercor.

OpenAI advances Education for Countries, expanding AI adoption in schools with new partnerships, teacher training, and tools to improve global learning outcomes.

How Ramp engineers use Codex with GPT-5.5 to review code and ship improvements, allowing them to get substantive feedback in minutes instead of hours.

An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.

llm-gemini 0.32 released with support for gemini-3.5-flash model.

The new model allows enterprises to spend less on tokens than they would previously, while one of the newly released agents competes against OpenClaw.

Google released Gemini 3.5 Flash at I/O, skipping preview and going straight to GA. The model is integrated into core products like Search and Gemini app, despite a significant price increase (3x input, 6x output vs previous Flash). This raises questions about API customer price tolerance.

Google's annual developer conference began today in Mountain View with a strong emphasis on integrating Gemini across products and advancing agentic AI. ZDNET is providing live coverage of the keynote and announcements.

Google DeepMind CEO Demis Hassabis told the audience at Google I/O that we are standing in the "foothills of the singularity," unveiling Gemini for Science and envisioning AGI as a force for scientific breakthroughs.

Upstash for Redis, Supabase, and Neon are compared for vibe coding workflows in 2026. They are complementary tools: Upstash for caching/rate-limiting, Supabase for full-stack backend, Neon for serverless Postgres with branching and scale-to-zero.

Your AI creative team for video ads. Discuss and link.

Google's I/O announcements point to a future where its search box becomes an all-in-one assistant, with features like dynamic search, AI Overviews, personalized results, information agents, Gemini upgrades, Workspace integration, a universal shopping cart, and YouTube AI mode. The author worries this reduces user autonomy and harms the web ecosystem.