⏱ 4-min read

This issue: ChatGPT just outperformed doctors on health questions — and 130 million people ask it medical questions every week. Robots now outnumber humans at Figure AI. And Perplexity just gave its agents a memory that learns from every session. Here's everything that moved.

OpenAI says GPT-5.5 Instant brings stronger health intelligence to ChatGPT, with better performance on recognizing urgent situations, asking for missing context, explaining uncertainty, and making complex health information easier to understand.

Highlights

Why it matters: Health is one of the most sensitive ways people use AI. The big shift is not just that ChatGPT can answer more health questions — it is getting better at knowing when to be careful, when to ask for context, and when to point people toward care.

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Taiwan is putting $1.5 billion behind an AI-native hospital system, with NVIDIA and Foxconn deploying AI agents and nursing robots across major medical centers. One robot already handles 75–80 tasks a day and cuts nursing workload by about 30%.

The latest AIHealthTech Insider also covers Yale moving 700,000 radiology exams into AI-assisted reporting, Philips finding AI saves clinicians 16 working days a year, and a new warning around glucosamine — all circling one uncomfortable question: when AI starts running hospital work, who is trained enough to supervise it?

🔥Big News in AI

Figure AI just crossed a strange factory milestone: robots now outnumber humans inside the company. After BotQ ramped production to one robot per hour, Figure’s machine workforce reportedly passed its 600-person human team. The signal is bigger than headcount: humanoid robots are moving from demos into real deployment loops.

OpenAI published new alignment research showing that reinforcement learning on “beneficial traits” can make AI models more truthful, open to correction, transparent, and harder to push into harmful behavior. The training focused on realistic scenarios across health, education, science, law, engineering, and business.

Claude Code now supports artifacts, letting teams turn coding sessions into live, shareable web pages. PR walkthroughs, incident timelines, dashboards, release checklists, and system explainers can update as the session progresses. The shift is simple: agents are no longer just doing work — they’re documenting it as they go.

AI shows up in 60% of engineering work. Only about a fifth of it can be handed off without someone babysitting the output. That’s because agents are still missing the context you have. Join this live webinar on June 24 (FREE) to find out how teams pulling ahead are using a context layer to level up.

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Perplexity is rolling out Brain, a new memory system for Computer that remembers what the agent did — not just who the user is. It builds a context graph from past work, tracks what worked, what failed, and what got corrected, then uses that history to help the agent do better next time.

The bigger shift is that AI memory is moving from “remember my preferences” to “learn how to do the job.” Perplexity says Brain improves correctness, recall, and efficiency on repeated work, while helping agents find better sources, avoid dead ends, and use fewer turns over time.

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Anthropic is funding a $200M Economic Futures Research Fund and a $150M Claude Corps fellowship — a clear signal that AI job disruption is no longer theoretical. At the same time, Google’s free 5-day AI Agents Intensive is back, with 1.5M past learners and a new focus on vibe coding.

This Sunday Special shows where to move next — two open hackathons, free AI courses, a no-code legal app built in 30 minutes, and six AI career opportunities. The ladder is changing fast, but the new openings are still visible if you start building now.

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