Every signal tracked from the world's AI conferences — 4,665
talks, quotes & announcements, newest first.
Choose the Right Azure Infrastructure to Improve Postgres Performance by Over 60% | POSETTE 2026
Microsoft Developer (Build) · Jun 16, 2026
Choosing AMD EPYC-powered Azure infrastructure can improve PostgreSQL performance by over 60%.
“the 'Ea' series are often most recommended because the extra memory gives you more room to scale and PostgreSQL absolutely benefits from having more memory per vCPU”
What I’ve Learned Teaching Postgres to 200+ field engineers at Microsoft | POSETTE 2026
Microsoft Developer (Build) · Jun 16, 2026
Microsoft trains 200+ field engineers on Postgres using modular, persona-mapped content rather than one-size-fits-all curriculum.
“Postgres is the database that never changes phone number.”
PostgreSQL vs. SQL Server: Security Model Differences | POSETTE: An Event for Postgres 2026
Microsoft Developer (Build) · Jun 16, 2026
PostgreSQL and SQL Server differ fundamentally in their security models, especially around roles, ownership, and privileges.
“Every login, every user, every group that we know in SQL Server, everything is a role in Postgres.”
Build Your Own Transaction Foundation Model for Financial Intelligence
NVIDIA Developer Blog · Jun 16, 2026
NVIDIA outlines building a transaction foundation model to replace brittle hand-engineered features in financial data.
“Transaction data is one of the richest signals an enterprise owns.”
Introducing container caching in Amazon SageMaker AI for faster model scaling
AWS Machine Learning Blog · Jun 16, 2026
AWS launches container image caching for SageMaker AI inference, cutting scale-out latency up to 2x for generative AI models.
“This speeds up end-to-end latency by up to 2x for generative AI models during scale-out events.”
Hannover Messe 2026 - How Continental transforms supply chain planning using agentic AI
AWS (re:Invent) · Jun 16, 2026
Continental is applying agentic AI on AWS to transform global tire supply chain planning across a million-plus network intersections.
“So, looking at that simple question, it becomes a complex problem to answer that. It is requiring a huge manual effort.”
Enabling Governed Vibe Coding for Enterprise Apps on Databricks
Databricks Blog · Jun 16, 2026
Databricks introduces governed vibe coding to bring context and control to enterprise coding agents.
“Vibe coding needs context and control to work in the enterprise”
Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI
AWS Machine Learning Blog · Jun 16, 2026
AWS invented and open-sourced P-EAGLE, parallelizing speculative decoding for up to 1.69x faster LLM inference on SageMaker.
“P-EAGLE instead fills positions 2–4 with learnable placeholders and predicts all four tokens at once”
Introducing OpenSharing: the Next Evolution of Delta Sharing for the Agentic Era
Databricks Blog · Jun 16, 2026
Databricks introduces OpenSharing, an evolution of Delta Sharing built for the agentic AI era.
Announcing Apps on Databricks Marketplace
Databricks Blog · Jun 16, 2026
Databricks launches Apps on its Marketplace, letting organizations distribute and discover data intelligence applications.
Introducing OpenSharing SecureConnect
Databricks Blog · Jun 16, 2026
Databricks introduces OpenSharing SecureConnect for sharing live data across organizations.
Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins
NVIDIA Developer Blog · Jun 16, 2026
NVIDIA launched the ACE Game Agent SDK and Unreal Engine 5 plugins for building on-device AI companions.
Robots! In Mr. Maeda's Cozy AI Kitchen
Microsoft Developer (Build) · Jun 16, 2026
Microsoft demos LLM-planned robot control via Semantic Kernel skills written in Python, with novel robotics skills not yet public.
“It's a while loop for the robot.”
Satya Nadella: Microsoft's Next Ambitions With AI
Satya Nadella · No Priors · Jun 16, 2026
Nadella says true ambition with AI means building new conceptual models for 'meta cognition' work, not automating old tasks.
“True ambition is about making the impossible possible.”
Quoting Georgi Gerganov
Simon Willison · Jun 16, 2026
Georgi Gerganov confirms Qwen3.6-27B is a capable local model for daily coding tasks on consumer hardware.
“I can 100% attest to the fact that Qwen3.6-27B is a very capable local model for coding tasks.”
How to Optimize Transformer-Based Models for Low-Precision Training
NVIDIA Developer Blog · Jun 16, 2026
Optimizing transformers for low-precision training cuts GPU hours and speeds up experimentation and model scaling.
“Accelerating transformers is therefore not just a performance optimization, but directly affects how quickly teams can experiment and how large a model they can afford to train.”
Robots with AI Agents + Copilot
Microsoft Developer (Build) · Jun 16, 2026
General Robotics exposes a unified quadruped robot API and AI inferencing via an MCP server so Copilot agents can program robots in natural language.
“I very infrequently have to write code myself. I'm using, you know, models from Cloud Model, from OpenAI through Copilot to kind of help me write all this code.”
They Looked Inside Claude’s AI's Mind. It Got Weird
Two Minute Papers · Jun 16, 2026
Anthropic's new interpretability research uses round-trip translation to reliably decode Claude's internal activations into text.
“It is what is missing from the formula.”
NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance
NVIDIA Developer Blog · Jun 16, 2026
NVIDIA Blackwell delivered a clean sweep in MLPerf Training v6.0, leading on scale and per-accelerator performance.
“NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium.”
Sciene AI Companion: building an autonomous Customer Success platform on Databricks
Databricks Blog · Jun 16, 2026
Sciene built an autonomous Customer Success platform on Databricks to scale relationship-centered work.
AI is Not Mysterious - NVIDIA's Jensen Huang
Jensen Huang · Sequoia Capital · Jun 16, 2026
Jensen Huang says AI is not mysterious—it is understood software, and fears of existential doom are nonsense.
“You may or may not lose a job to an AI. But you will absolutely lose a job to someone who uses AI.”
Frontier post-training recipe review with Finbarr Timbers
Nathan Lambert · Interconnects · Jun 16, 2026
2026 frontier post-training has shifted to Multi-Teacher On-Policy Distillation (MOPD), merging many specialist models into one.
“The shape of a post-training recipe has changed more in the last year than in the prior three.”
Agent Bricks: Data + AI Summit 2026
Databricks Blog · Jun 16, 2026
Databricks expands Agent Bricks one year after launch at Data + AI Summit 2026.
What’s new with Unity Catalog at Data + AI Summit 2026
Databricks Blog · Jun 16, 2026
Databricks announces Unity Catalog updates at Data + AI Summit 2026 to govern enterprise AI agents.
“The agentic era is here. Hundreds of thousands of agents are now acting on enterprise”