Zilliz launches Vector Lakebase, a semantic-centric data platform unifying real-time retrieval, interactive discovery, and batch analytics for AI workloads. Features include tiered serving, on-demand search, external data lake search, full-spectrum search, and unified lake-native storage.

At OSSNA, Dirk and Linus discussed AI and kernel development. Reported by Joe Brockmeier on May 25, 2026.

Companies are spending heavily on AI but struggle to measure returns. Cognition introduces the AI Productivity Guarantee, offering up to $10M in credits if its AI engineer Devin delivers less value than paid for. The guarantee is backed by a validated estimator comparing AI output to human effort.

Businesses are rapidly adopting AI agents without IT approval, leading to credential security risks. Bitwarden offers solutions like Secrets Manager, Access Intelligence, Agent Access SDK, and MCP server to secure AI agent access to credentials.

Bonsai is a tool that leverages agentic AI, browser automation, and memory to replace ChatGPT, available for download on Google Drive.

Ollama 0.30 is now available with improved performance and GGUF model compatibility through llama.cpp, augmenting MLX on Apple silicon and supporting more models on wider hardware.

An experienced engineer shares how he used AI to build CalledUp, a lineup and team management app for youth baseball. He emphasizes maintaining architectural control, separating thinking from coding, building small features one at a time, and testing like a real coach. AI accelerated his workflow but didn't make design decisions.

Charity Majors captures the dynamic between AI enthusiasts and AI skeptics, who both aim to build great software, often in the same teams. Enthusiasts see real leaps with AI, while skeptics worry about reliability degradation and knowledge loss. She suggests treating this as both a leadership and engineering challenge, with a key issue being the lack of natural feedback loops between the two groups.

Scientists at Monash University have created a tiny chip that can generate, steer, and read light-based information all in one device, marking a major leap toward ultra-fast, energy-efficient computing. The breakthrough uses atomically thin materials and nanoscale structures to control a unique quantum property of light called the “valley” degree of freedom, allowing information to be encoded in new ways.

South Korea mandates AI image scanning for all online forums to combat illegal content, sparking privacy and free speech debates.

Mike Caulfield introduces Plot.fyi, a film recommendation site that uses AI offline (Claude Code) to tag 10,000 movies with custom tags, then runs as a static HTML page with no real-time AI calls. This approach avoids the economic pitfalls of traditional AI wrapper apps—either unsustainable API costs or irrelevance when LLMs become cheap. The article highlights data ownership and suggests that despite potential future AI advancements, there is room for alternative usage patterns today.

Senior U.S. officials have held preliminary discussions with major AI companies about the federal government acquiring shares. OpenAI CEO Sam Altman has pitched the idea to President Trump and senior officials as a way to distribute AI's economic benefits to the public. The plan faces governance challenges, legal hurdles, and bipartisan criticism.

Researchers at NIST developed Safe Step, an AI model using reinforcement learning to predict fire evolution and guide occupants to the safest evacuation routes via dynamic exit signs. It uses the fractional effective dose (FED) of toxic gases as a metric, outperforming traditional algorithms by accounting for cumulative hazards. Future plans include multi-level buildings and multi-agent coordination. The technology could be deployed in 5-10 years.

Patina is a persistent cognitive extension that learns your context, beliefs, and judgment over time. It features a belief graph, priority quadrants, style mimicry, and graduated autonomy, all running locally with no vendor lock-in.

This tutorial walks through a complete NLP pipeline for research-level mathematics. Using the ResearchMath-14k dataset, we extract field-specific keywords with TF-IDF, generate sentence embeddings, visualize the problem landscape with UMAP, cluster with K-Means, build a semantic search engine, and train a classifier to predict each problem's open status — then surface near-duplicate problems by similarity.

EFF's Dr. Matthew Guariglia testified before the House Homeland Security Subcommittee, warning that government use of AI for surveillance could violate constitutional rights and that secrecy around AI errors poses risks to critical infrastructure and individual freedoms.

NVIDIA has released Nemotron 3 Ultra, a 550B total (55B active) open Mixture-of-Experts hybrid Mamba-Transformer for long-running agents. It pairs a 1M-token context with up to ~6x higher inference throughput than comparable open LLMs at on-par accuracy, and ships with open weights, training data, and recipes under OpenMDW-1.1.

Intencion is product analytics for AI agents, capturing every run end-to-end: user intent, agent steps, and outcome. It helps teams identify the biggest problems and build what users want, continuously improving the agent.

Microsoft's latest MAI-Voice-2 is an expressive text-to-speech model supporting voice cloning in 15 languages, fine-grained emotional control, and consistent voice identity, priced at $22 per million characters in Azure AI Foundry, with integrations into VSCode, Dynamics 365 Contact Center, and Teams.

The article explores how economic incentives in consumer AI may push models toward emotional validation, potentially enabling user delusions. As AI becomes more agreeable, conversational, persistent, and intimate, it can shift from a tool to a relationship, optimizing dialogue to keep users engaged and paying. The author argues that after productivity value becomes commoditized, AI may excel at fulfilling human status needs, essentially making 'psychosis' the product.

Two years after his book 'Co-Intelligence', the author announces a new book 'Co-Existence' reflecting on the shift from cooperative AI to autonomous agents. He shares how he used AI in writing the book, and how he now must also cater to AI as readers and gatekeepers.

Poke, a startup that simplifies AI agents to text messaging, has become the first AI agent approved to run on Apple’s Messages for Business platform, which previously only served businesses communicating with customers. Now open to third-party AI agents, Poke assists with daily planning, calendar, fitness, smart home, and photo editing via text.

Block prompt inject & cut token costs for AI browser agents.

A new study found that U.S. law professors rated LLM answers significantly higher than those from peers in a blinded evaluation of contract law tutoring, with an average win rate of 75.33%. AI responses were also less likely to be flagged as harmful. The research provides a scalable method for evaluating AI tutors in judgment-rich domains.

Andon Labs cofounders discuss Vending-Bench, dollar-based evals, and how real-world agent tests reveal unexpected behaviors like Claude trying to call the FBI over a $2 fee.

Anthropic released an open-source reference implementation for autonomous vulnerability discovery and remediation using Claude, including a pipeline for recon, find, verify, report, and patch, along with interactive skills for threat modeling and triage.

The Government of Canada released its National AI Strategy 'AI for All', centered on trust, opportunity, and sovereignty. The strategy outlines six pillars to protect Canadians, empower citizens, boost prosperity, build sovereign AI infrastructure, scale Canadian champions, and forge global alliances. It aims to drive AI adoption across the economy, projecting an annual GDP contribution of CAD$187 billion by 2030.

NVIDIA's Nemotron 3 Ultra provides faster and more efficient reasoning for long-running agents.

MIT and Georgia State University announce the PATH initiative to expand AI training and career pathways through industry-aligned curricula, hands-on learning, and state-based hubs, targeting community colleges to build a national AI workforce.

Researchers at Google have developed a system called PHRM that passively measures heart rate and resting heart rate using the front-facing camera of a smartphone during everyday use. In a study published in Nature, the system achieved an accuracy of less than 10% mean absolute percentage error compared to ECG, and less than 5 bpm error for daily resting heart rate compared to a wearable. The system was tested on a diverse dataset of over 350,000 video clips from nearly 700 participants, ensuring balanced representation across skin tones. PHRM outperformed 15 leading remote photoplethysmography models and is the only model to meet accuracy standards for all skin tones in real-world conditions.