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Governance Got Here First
Microsoft Agent 365 GA, Pentagon Reopens Talks, Korea's AI Center Goes Legal
글 Yeongyang AI Association
에디터 · SF:// · 제 2호
The signal is no longer model size. It is who builds the operating system that manages AI agents — and Microsoft just shipped one.
The signal is no longer model size. It is who builds the operating system that manages AI agents — and Microsoft just shipped one.
Issued · Yeongyang AI Association · 2026-05-04 (KST)
🧭 Secretary-General's Perspective — How to read today's headlines
If we connect today's headlines into one line, AI is now crossing from "tool" to "agent-as-OS." The general availability of Microsoft Agent 365 is not just one more option for IT admins. The vast majority of humanity is still uncomfortable with computers — the share of people who actually use a computer in their daily life remains a minority. The moment an agent OS becomes standardized, that changes. A casual sentence — "shall we take a trip somewhere?" — finishes flights and hotel bookings on its own. A world in which we use computers without looking at them. That is the destination agentic voice has been pointing toward, and its first commercial infrastructure shipped on May 1.
The question is the gap. In the 1990s PC adoption wave, we had facilitators to teach how to use the machine, and that role narrowed the gap. Will agent OS just diffuse like smartphones did, or will it need another generation of facilitators? What we do every week in Yeongyang is exactly that facilitator's work. Meanwhile, today's other line — MIT's Recursive Language Models — shows that small models can approach the quality of frontier ones. A window of opportunity has briefly opened for the underdogs. The window's meaning needs to be measured precisely before the resource game closes it → a dedicated deep review will follow in the next Academic Research section.
⭐ Today's Big Story — Microsoft Agent 365 hits General Availability
On May 1, Microsoft moved Agent 365 out of preview into general availability. Pricing is $15 per user per month, bundled inside the new Microsoft 365 E7 SKU. The platform now syncs with AWS Bedrock and Google Cloud agent registries, meaning IT teams can inventory and govern agents across other clouds from a single console.
Why this matters — The defining question of 2026 is no longer "whose model is smarter." It is who owns the operating system that runs the agents. Microsoft has just standardized that control plane in an Intune-style admin experience and shipped it commercially first. At the same release, support for local AI agents via OpenClaw went live — the same governance now reaches from cloud to desktop.
⏱ Time-to-arrival
- SF / Seoul big-tech IT: immediate (May 1)
- Mid-sized firms in Busan / Daegu: 6–12 months
- Yeongyang County government IT: 2–3 years (E7 SKU adoption gap)
- Meaning: The first infrastructure of an "use-the-computer-without-looking-at-it" era has landed. From Yeongyang, our task is to walk over and touch the shape it will take when it gets here.
🚀 Models & Releases
Google ships Gemini 3.1 Ultra and Flash-Lite together
Ultra — 2-million-token context, native multimodal across text, image, audio and video. No transcription middleman; the model reads the video itself. Flash-Lite — $0.25 per million input tokens, 2.5× faster response, +45% output speed. The efficiency tier just dropped another floor.
The reading — two simultaneous moves: ① the context-length race reignites at 2M, ② the low-end has a new $0.25 input price line.
DeepSeek V4 — price cut and long context
This week's V4 lineup pushes the V3.2 baseline of $0.14/$0.28 per million tokens (input/output) further down with a long-context option. GPT-4-class quality is now 7–10× cheaper than a year ago.
🔬 Research
Recursive Language Models — MIT calls it "the paradigm of 2026"
Alex L. Zhang · Tim Kraska · Omar Khattab. Treat the long prompt as an external environment; let the LM recursively call itself, decomposing context inside a Python REPL and dispatching sub-LMs only where needed. Crucially, no summarization, no information loss.
Performance — RLMs handle inputs up to two orders of magnitude beyond a model's context window. RLM-Qwen3-8B approaches vanilla GPT-5 quality on three long-context benchmarks. Prime Intellect labels it "the paradigm of 2026."
Why this matters — A philosophical shift: it's not context length that matters, it's management. Small models just got a serious new path to imitating large ones.
📚 Deep review forthcoming — YYAIA's own SimThink engine sits on top of recursive reasoning. Two opposing readings are at stake: small-model imitation as a window for underdogs, and the same paradigm running on top-tier compute as the next round of the resource game. We will treat both formally in the upcoming Academic Research section.
Insilico Medicine ISM001-055 — first AI-discovered target with AI-designed drug to clear Phase IIa
Idiopathic pulmonary fibrosis. Phase IIa positive results. The first time an AI-discovered target plus an AI-designed molecule has shown human efficacy.
The reading — medical AI moves from "diagnostic assistant" to drug discovery itself. Q1 2026 digital-health VC funding was $4B (+$1B YoY); 12 mega-deals captured 59%.
🛠 Tools in the Field
Microsoft Agent 365 — Bedrock + GCP agents on one console
Same announcement as the Big Story, but the field-use angle: agents built in AWS Bedrock or Google Cloud Vertex are now auto-discovered and inventoried by Agent 365. A standard IT tool for multi-cloud agent operations has arrived.
Microsoft DAX Copilot — adopted by 150+ U.S. health systems
Clinical documentation automation has steepened its adoption curve. AI tooling has crossed from "feature" to "standard infrastructure" inside hospitals.
🏢 Industry & Business
Pentagon × 7 vendors + Anthropic talks reopen
Officially signed May 1: SpaceX, OpenAI, Google, Microsoft, Nvidia, AWS, Reflection — classified-network AI tooling. Anthropic was excluded after refusing to drop safety guardrails for fully autonomous weapons and mass surveillance use.
In the same week: White House Chief of Staff Susie Wiles and senior officials met Dario Amodei at the White House on April 17. Trump told CNBC a deal was "possible" and called the company "very smart." CNBC (May 1) reports the Mythos issue is treated separately — Anthropic remains blacklisted, but the channel is open again.
Why this matters — A frontier lab just showed the market that walking away from defense revenue on safety grounds is now a viable negotiating position. That has not happened before.
Samsung Q1 chip operating profit ₩53.7T (×48 YoY) · SK hynix locks in ~70% of HBM4
Samsung Electronics semiconductor division reported a 48-fold Q1 OP surge to ₩53.7 trillion (~USD 40B). SK hynix posted a 5× quarterly profit jump and nearly tripled revenue. UBS estimates SK hynix has secured ~70% of initial HBM4 volume for Nvidia's Vera Rubin (Nvidia's next-generation AI training/inference platform unveiled at GTC 2026).
The reading — Vera Rubin demands HBM4 at 10Gb/s+. Memory is now the bottleneck of the next round. Both Korean firms sit inside that bottleneck.
⚖️ Policy & Regulation
California EO N-5-26 — Newsom directs AI safety draft (March 30)
State agencies must produce AI safety recommendations. Combined with new California laws on safety/whistleblowers, training-data transparency and watermarking, HR/ADS anti-discrimination, and a ban on "common pricing algorithms," the package thickens further.
Colorado AI Law slips to June 30
Original Feb 1, 2026 → June 30, 2026. EU AI Act high-risk obligations are also under discussion to slip to 2027–2028. Regulatory time keeps lagging market time.
🇰🇷 Korea Focus
National AI Computing Center — SPC incorporated April 1, groundbreaking July, 50K GPUs by 2030
A consortium led by Samsung SDS, Samsung Electronics, Samsung C&T, Naver Cloud, Kakao, KT, plus one more — legal entity established April 1, July groundbreaking, 2029 opening, 50,000 GPUs by 2030. Total project budget over ₩2 trillion (~USD 1.5B).
Why this matters — Korea's flagship AI infrastructure cleared the legal-entity hurdle in May. Fast for a public-sector project. But "by 2030" is still 4 years away from places like Yeongyang or Cheongsong.
Microsoft report — Korea is #1 in 2025 AI adoption speed
Microsoft attributes it to a combination of government policy acceleration and the country's ChatGPT user base.
The arrival-time gap — the same gap we measure each week from Yeongyang. #1 globally, and yet still distant from where we sit.
Korea AI Association — AI EXPO KOREA, COEX, May 6–8
The 9th International AI Expo in Seoul. The domestic industry's annual gathering point.
Google I/O 2026 — confirmed for May 19–20
Roadmap reveal expected; possible follow-ups to Gemini 3.1 Ultra and Flash-Lite.
🏛 Local Programs (Yeongyang & Gyeongbuk)
No new direct calls this week for Yeongyang or Gyeongbuk. Three nationwide programs remain open and applicable:
- Region-Led AI Transformation Program 2026 — open through Dec 18, 2026. Province-level proposals; Gyeongsangbuk-do may consortium.
- AX-Sprint — 246 AI applied products, ₩754B (~USD 555M). Five domains: manufacturing, agri/livestock/fisheries, transport, health/welfare/environment, public-life security/defense. The agri-livestock track is the most plausible Yeongyang entry point.
- AI Compute Resource Strengthening — ₩2.08T (~USD 1.5B), GPU resource allocation. Separate sub-tracks for regional research institutes and SMEs.
Local read — the AX-Sprint agri/livestock track is the closest entry. A Myeongseong Simjae × Yeongyang farms consortium submitting a single applied product is now a realistic simulation to walk through.
⚡ Quick Hits
- BMW i Ventures launches new $300M fund — industrial AI weighting expanded (May 3).
- TurboQuant (Google, ICLR 2026) — KV-cache compression via PolarQuant rotation + quantized Johnson-Lindenstrauss. Another inference-cost reduction path.
- KOCCA gaming program — up to ₩300M per AI-game project — 2026 content track. Plausible extension lane for Yeongyang's youth AI YouTube cohort.
- MS Agent 365 + local AI agents (OpenClaw) — cloud and desktop on the same governance plane. A solo operator gets the same interface as an enterprise.
- Microsoft DAX Copilot in 150+ U.S. health systems — clinical documentation automation now standard.
— Chi-hoon Shin, Ph.D., Secretary-General
Licensed under CC BY-NC 4.0.