How can the leaders at Meta continue to be so clueless year after year after year.... It isn't rocket science to know what users & employees want. I could run this company in my sleep www.wired.com/story/mark-z... #meta #fail
Who's Who of AI
Jason Moore
Chair, Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Director, Center for Artificial Intelligence Research & Education. Atari enthusiast. Retrocomputing. Maker.
What they're sharing
‘Tell Him He’s a Piece of Shit’: Meta’s New AI Unit Is a Total Mess wired.com
AI-Generated Papers in the NeurIPS 2026 Position Paper Track – NeurIPS Blog blog.neurips.cc
Opinion | There’s Something Else We Should Be Worrying About nytimes.com
AI Has Come for Serif Fonts wired.com
Forecasting Scientific Progress with Artificial Intelligence arxiv.org
The AI Era Is Creating a Bug-Hunting Arms Race wired.com
Resilient Consensus in Agentic AI arxiv.org
harvardmagazine.com
Apple’s AI pitch will live or die by its privacy promise theverge.com
Want an A.I. Degree? Here’s What You Should Think About. nytimes.com
Myth vs. Reality: AI Can't Be Trusted Because It Hallucinates healthaiinsights.substack.com
Articles & links
I understand and respect this policy. The problem is that now you have enforce it. A properly constructed agentic AI workflow can produce text indistinguishable from that written by humans. blog.neurips.cc/2026/06/02/a... #neurips #ai #compsci
AI Weekly's analysis
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- NeurIPS desk-rejected 178 papers (18.4%) via Pangram; 123 more must prove human authorship by June 15, 2026.
- Default Pangram window sizes flagged 42.7% of submissions; refined 100-word windows reduced that rate to 12.7%.
- Comparison venues FAccT 2025 and NeurIPS E&D 2026 showed 0% and 2.1% maximum AI scores respectively.
Read full analysis →
Love Klein's idea for a public frontier model focused on the public good www.nytimes.com/2026/05/31/o... #ai
AI companies are using serifs to project humanity. Critics are calling it “tasteslop” www.wired.com/story/ai-has... #fonts #tasteslop
Forecasting Scientific Progress with Artificial Intelligence arxiv.org/abs/2605.22681 #ai #science #research
An interesting & scary consequence of better AI models www.wired.com/story/the-ai... #cybersecurity #cyber #ai #security #infosec
A nice example of agent engineering: Resilient Consensus in Agentic AI arxiv.org/abs/2606.15024 #agenticAI
The commencement speaker who found the the right AI message to excite graduates www.harvardmagazine.com/commencement... #ai
Jason Moore reposted
Privacy is why I switched to Mac this year www.theverge.com/ai-artificia... #mac #privacy #appleAI #siriAI
Want an A.I. Degree? Here’s What You Should Think About www.nytimes.com/2026/06/08/u... #ai #education #edtech #edchat #college #teaching
I use this agentic AI workflow in a new Health AI post to dispel the myth that AI can't be trusted because it hallucinates. Agents can improve trust by breaking tasks into pieces with checks that reduce hallucinations caused by LLMs healthaiinsights.substack.com/p/myth-vs-re..…
Their own posts
Recent commentary
When the AI agents do all the work for you
This made me chuckle.... Parking is something AI can definitely do better
Excited to be at the Univ of Michigan this week for the Genetic Programming Theory and Practice (GPTP) workshop. I will present this morning my work on agentic AI. My 19th year participating! #gptp2026 #ai #geneticprogramming #annarbor @umich.edu
The recent news about government regulation of Anthropic's Mythos & Fable models should not effect research & healthcare. Properly engineered teams of AI agents will handle complex tasks better than any frontier model. Just need the right harness, skills, tools, & smaller models. #agenticAI
Giving a keynote lecture this morning on agentic AI. Great to be back at Penn
I saw that Dr. Larry Jameson is stepping down from @upenn.edu in 2027. Maybe an opportunity for Penn to appoint a president with real AI chops to lead the institution into the digital future? #penn
Their network
In Jason Moore's orbit
Center = Jason Moore. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.