Research
Everything Intel keeps, in one place — every brief we run, every department, readers' own, and every finding behind them. Browse below, or see the same body of work as a connected graph on the live map.
All coverage
Everything Intel has read, newest first. Each title opens at its original publisher.
- Market & Business✓ verified
Anthropic passes OpenAI at ~$965B; confidential IPO filing
The platform AI Uni's agents run on is scaling fast and heading public — relevant to platform-dependency risk and pricing-stability planning.
- Dev Tooling & Infra✓ verified
GitHub Copilot moves every plan to token-metered 'AI Credits'
Usage-metered agent tooling makes cost track how hard your agents actually work — the same budgeting shift teams hit running their own multi-agent lanes.
- Research
SABER benchmark: leading coding agents violate safety in over half of tasks
Coding agents doing real repo work is exactly AI Uni's build model — a reminder that autonomous edits need guardrails measured on outcomes, not refusals.
- Market & Business✓ verified
Claude pricing: base stable, fast mode down 66%, effort control
Direct input to agent-run token budgets and AI Uni's own unit economics — more throughput per dollar favors the multi-terminal model.
- MCP & Interop✓ verified
MCP goes stateless + 2026-07-28 spec release candidate
The substrate Intel's own agent-facing MCP layer will sit on. Stateless + Apps + Tasks materially simplify hosting a daily-accumulating, agent-queryable KB.
- Frontier Models✓ verified
Claude Opus 4.8 + effort control + 3x cheaper fast mode
A per-call cost-vs-depth lever — dial low-effort for mechanical lanes, max-effort for hard reasoning. Materially changes how agent runs are budgeted.
- Frontier Models✓ verified
Claude Opus 4.8 ships sharper judgment and longer independent runs — same price as before
Same price, real upgrade — the added honesty about its own progress and longer independent runs are exactly the traits agentic workflows need most, with no new pricing tax to get them.
- Agent Frameworks & Orchestration✓ verified
Bun port (Zig to Rust) via dynamic workflows
A concrete existence-proof of large-scale autonomous multi-agent work shipping real code — a teachable case study for AI-economy curriculum.
- Agent Frameworks & Orchestration✓ verified
Claude Code dynamic workflows (research preview)
The productized version of the multi-terminal + subagent pattern an agent-orchestrated org hand-rolls today — direct input to agent-engine design.
- Research
Anthropic publishes a Zero Trust framework for enterprise AI agents
A useful audit checklist even outside Anthropic's own stack — the seven control domains it names are a reasonable starting list for anyone standing up agents with real write access.
- MCP & Interop✓ verified
NSA issues formal security guidance for Model Context Protocol deployments
The first government-issued checklist specifically for MCP deployments — worth a direct read before your next MCP server goes into production, not just a headline.
- Frontier Models✓ verified
Gemini 3 / 3.5 ship; "agentic + vibe coding" framing
A credible second frontier source for any model-portability or fallback strategy.
- Frontier Models✓ verified
DeepSeek V4 Pro / V4 Flash (open weights, MIT, 1M ctx)
Open-weights frontier-adjacent models are a hedge against platform/pricing risk; MIT licensing matters for productization.
- Frontier Models✓ verified
OpenAI ships GPT-5.5 — and makes the low-hallucination Instant variant ChatGPT's new default
GPT-5.5 Instant becoming ChatGPT's default with lower hallucination in law, medicine, and finance raises the reliability bar for the highest-stakes consumer use cases, while 5.5-Codex signals a dedicated agentic-coding line, not just a general-purpose model.
- Market & Business
Microsoft's 'agentic SOC' keeps the human — and changes the job to setting the thresholds
Even for a one- or two-person team the pattern holds: automate the mechanical, reserve human judgment for the irreversible, and set explicit thresholds for what an agent may do unattended.
- AI in Education✓ verified
Khanmigo scale + Sal Khan's candid "non-event" reflection
The most-watched competitor's honest signal that scale does not equal impact — structure and motivation design matter more than model access. Exactly the gap AI Uni's structured-lesson model targets.
- Dev Tooling & Infra✓ verified
GitHub lets you assign a dependency alert straight to an AI agent to fix
Dependency triage is fatigue-heavy toil an agent can genuinely take off your plate — as long as the merge stays a human decision.
- Dev Tooling & Infra✓ verified
A poisoned npm package quietly rewrote a coding agent's memory — and it reloaded every session
Treat any automatic edit to an agent's memory or instruction files as a reviewable event, not a silent auto-load — a single poisoned dependency can otherwise steer every future run.
- Research✓ verified
A survey and paper list mapping agent-memory architectures, so you don't have to design one blind
Agent memory is the least-settled piece of most production agent stacks — a maintained survey and paper list is the fastest way to see which memory architecture actually matches your agent's failure mode before building a bespoke one from scratch.
- AI in Education✓ verified
Khan + TED + ETS launch AI-focused college (Khan TED Institute)
A direct competitive signal for AI Uni ("the college alternative for the AI economy") — a credentialed-degree entrant in applied-AI education.
- Dev Tooling & Infra✓ verified
mem0 / agent-memory architectures maturing
AI Uni's own memory-architecture work sits in this fast-moving category — the anti-evaporation problem the platform substrate solves.
- Dev Tooling & Infra
KV-cache agent-state persistence: reported 89% better completion, 67% fewer calls
If the effect holds, strong evidence for on-disk substrate-loading + persistence work. UNVERIFIED effect size — find the primary benchmark before citing the numbers.
- Dev Tooling & Infra✓ verified
Agent observability field: LangSmith vs Braintrust vs Langfuse vs Arize
Informs deterministic-vs-LLM-judge layering. Braintrust's merge-blocking eval-action is a pattern to study — but LLM-judge stays post-hoc, never replacing deterministic CI gates.
- MCP & Interop✓ verified
MCP's own 2026 roadmap shows where the protocol still has rough edges
MCP's own roadmap is the clearest signal of where the interoperability protocol still has rough edges — teams evaluating it for production should track SSO and audit-trail readiness before betting deployment plans on it.