Financial services AI governance doesn't have to mean friction. Domino's new Blueprint shows how to build role-aware onboarding apps that embed compliance controls from day one, so new users stay productive and shadow AI risk stays managed. https://
hubs.ly/Q04jf82p0
INNOVATION
-
Domino’s Blueprint: Frictionless AI Governance for Financial Services Onboarding
By
–
-
New Approach to Agent Skills: Paper, Repo, and Site
By
–
Paper (arXiv):
https://arxiv.org/abs/2605.31264 (~25 min read)
Repo (GitHub, MIT):
https://github.com/titanwings/colleague-skill
… (~10 min setup)
Gallery and site:
https://titanwings.github.io/colleague-skill-site/
…
Agent Skills standard:
https://agentskills.io -
Writers and Artists Need a Way to Label AI Use
By
–
Writers and Artists Need a Way to Label AI Use: Here’s What That Could Look Like
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
GStack by Garry Tan goes viral, 100K stars on GitHub for dev cheat code
By
–
100K GITHUB STARS IN JUST A FEW WEEKS @GarryTan
’s GStack has gone completely viral, and for good reason. The YC CEO open-sourced his personal toolkit, and it's the ultimate cheat code for devs. It turns Claude Code from a basic chatbot into an entire virtual engineering -
Perplexity AI achieves new cost-performance frontier, outperforming Anthropic
By
–
It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper.
-
Search as Code replaces tool-calling with async search primitives
By
–
The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.
-
Self-Improving Language Models with Bidirectional Evolutionary Search
By
–
Most LLM search still works by sampling more rollouts or extending one path at a time. This paper's bidirectional evolutionary search does it in a smarter way. It breaks the task backward into smaller
-
Who will bring order to AI in the 2020s?
By
–
In the 1940s, von Neumann brought order to computer architecture.
in the 1970s, Codd brought order to database management.
In the 2020s, who will bring order to AI? -
Ethan’s deep dive on xAI’s SOTA video world model training
By
–
This pod was an incredible gift to the community:
— swyx (@swyx) 1 juin 2026
not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA,… https://t.co/purQe9Ja81 pic.twitter.com/Sl4AqAt7RAThis pod was an incredible gift to the community: not only our first pod about @xAI
, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA, -
Grok, Cosmos, and World Models: The Video Agent Moment
By
–
Grok Imagine’s Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video! https://
latent.space/p/video-agents @EthanHe_42
, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok