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dera monthly editionFebruary 2026 / Vol.16〜19

The month AI stopped being just a tool and started using tools.

OpenClaw's founder joined OpenAI, while Perplexity Computer introduced a way to orchestrate 19 models in parallel. The era of agents managing other agents began. At the same time, the confrontation between the Pentagon and Anthropic over safety guardrails exposed a deeper ethical fault line in the AI industry.

Issue file

Date

February 2026

Editor's Note

OpenClaw's founder joined OpenAI, while Perplexity Computer introduced a way to orchestrate 19 models in parallel. The era of agents managing other agents began. At the same time, the confrontation between the Pentagon and Anthropic over safety guardrails exposed a deeper ethical fault line in the AI industry.

The performance race in AI continues, but February was the month when questions of command and refusal started moving the industry's most powerful players.

What changed this month

The battle for the agent integration layer

Before: January focused on whether AI agents could handle work on their own, mostly one tool or one agent at a time.

Now: February introduced the structure above the agent. Perplexity Computer coordinated 19 models in parallel, and competition moved into the orchestration layer.

Models orchestrated through one interface 19

The model race entered a price-collapse phase

Before: In January, model competition was still mainly framed around capability. Cost mattered, but it was not the center of the story.

Now: In February, collapsing cost became the real headline. Once near-frontier performance is available at one-twentieth the price, single-model dependency starts looking irresponsible.

MiniMax cost relative to Claude 1/20

AI governance moved from principle to implementation

Before: AI ethics had often been discussed abstractly. Direct confrontation between state demand and model safety policy had not broken into the open in this way.

Now: Anthropic publicly said no to the Pentagon, turning safety guardrails into a visible point of strategic differentiation rather than a hidden internal policy.

xAI co-founders who had departed 6/12

The issue

Escalation01Supports dera's view

The battle for the agent integration layer

Deep Dive

On February 15, the founder of the open-source AI agent framework OpenClaw announced he was joining OpenAI. OpenClaw itself remained open source, but the move sent a clear signal through the industry.

A solo developer had built a community of more than 100,000 developers, and now the ecosystem was being pulled into a major industry player. That made it harder to dismiss January's OpenClaw wave as a passing fad.

On February 26, Perplexity AI unveiled Perplexity Computer, a platform that coordinates 19 frontier models - including Claude Opus 4.6 and ChatGPT 5.2 - as parallel sub-agents. Research, coding, and financial analysis can run asynchronously while the user issues only high-level direction.

The idea resembles what Andrej Karpathy framed as a new layer above the assistant: a meta-agent that directs other agents. As AI-generated code and task execution keep scaling, demand shifts upward toward coordination itself.

Keeping AI agents running in the background changed how I work. Research and analysis can keep moving while I am offline, so productivity no longer stops when I do.

Pragmatic Engineer, February 2026

Counterpoint

Security debt is rising with the opportunity. Researchers found major vulnerabilities in OpenClaw skills, and Claude Code also faced a remote code execution issue that was later fixed.

Reframed02Revises dera's view

The model race entered a price-collapse phase

Debate

February became a record month for model releases. The common message was simple: performance is rising, and cost is falling.

Google's Gemini 3.1 Pro claimed a major improvement in reasoning. Alibaba's Qwen team shipped four models at once and positioned them as open alternatives that could outperform GPT-5 mini in some settings.

Shanghai-based MiniMax then released MiniMax-M2.5, promising near-frontier performance at roughly one-twentieth the cost of Claude Opus 4.6. That meaningfully lowers the ceiling for what smaller companies can afford to do with AI.

Japanese enterprise examples reinforced the point. Fujitsu reported a 100x productivity boost with its in-house Takane LLM, while MUFG, KDDI, and Kansai Electric all pushed AI deployment further into real operations.

We need to make this a country where AI is easy to put to work. The growth strategy has to connect AI, cybersecurity, and medical digitalization rather than treating them as separate topics.

Digital policy interview, February 2026

Counterpoint

The flip side of falling model prices is sloppy usage. One developer guide showing how to cut LLM API costs by 88% made the point directly: if you do not architect usage carefully, a cheap-looking stack still turns into a four-figure monthly bill.

Escalation03Supports dera's view

AI governance moved from principle to implementation

Contrarian

In February 2026, the AI industry saw its first public confrontation between a company and a government customer over model guardrails. The U.S. Department of Defense had been using Anthropic's Claude in military systems and reportedly asked for looser restrictions and broader access.

Anthropic refused. CEO Dario Amodei said the company could not comply in good conscience. Later, the Pentagon reached an arrangement with OpenAI under different terms, making clear how much could have shifted if Anthropic had simply accepted the request.

At the same time, observers noted that OpenAI had removed the word safely from mission language filed with the IRS. As restructuring pressures grew and mission-alignment teams disappeared, governance concerns became harder to separate from commercial incentives.

Meanwhile, xAI saw half of its 12 co-founders depart, and regulators in Europe increased scrutiny around harmful content generation and platform behavior. Governance was no longer an abstract debate about future risk.

Claude includes safeguards against mass surveillance of citizens and against fully autonomous weapons with no meaningful human oversight. Removing those safeguards would violate our founding principles.

Dario Amodei, Reuters, February 26, 2026

Counterpoint

Abuse is already here, not hypothetical. Russian-speaking attackers used commercial generative AI in operations that compromised more than 600 FortiGate devices across 55 countries, and other cases tied model misuse directly to real-world intrusion and theft.

Decision Board

Questions and execution guidance

This is the execution section: finalize what to test now and what to govern before rollout.

This Month's Questions

  1. 1In the split between organizations that use AI and organizations used by AI systems, which side are you on?
  2. 2Do you have a boundary you can state clearly - a line where you would say you cannot comply in good conscience?

Editorial View

  1. 1The performance race in AI continues, but February was the month when questions of command and refusal started moving the industry's most powerful players.

Continuity

How the monthly arc moved

This section shows where the monthly arc stood as of February 2026. It is the issue's endpoint at the time, not a live status view.

December 2025

Reality check

Reality Check

January 2026

Delegation

Delegation

February 2026

The battle for the agent in…

The battle for the agent integration layer / The model race entered a price-collapse phase / AI…

Nearly selected

What almost made the issue

This issue closed tightly around the final three stories.

Open questions

In the split between organizations that use AI and organizations used by AI systems, which side are you on?

Do you have a boundary you can state clearly - a line where you would say you cannot comply in good conscience?

Method

This edition was compiled by reconciling dera editorial memory, dera reporting from the month, and outside community research.

Colophon

This edition was compiled by reconciling dera editorial memory, dera reporting from the month, and outside community research.

Source notes

Monthly note

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Week by week

The week small teams got the keys to multi-agent AI orchestrationOptimistic

Week 9

This week, the most actionable shift is the rapid emergence of open-source and hybrid AI agent orchestration tools—like EloPhanto and Perplexity's 'Computer'—that let even solo or small-team builders deploy and manage fleets of AI agents (across models and providers) for real-world business automation, with new emphasis on persistent memory, secure on-premises data handling, and no-code/low-code interfaces—making advanced, production-grade autonomy accessible to SMBs and non-specialists for the first time.

Articles
10
Companies
26
Topics
45

When solo devs can orchestrate AI swarms, does scale still matter—or does autonomy become the new moat?

Milestone weekOptimistic

Week 8

This week, AI innovation is accelerating at both the infrastructure and practitioner levels, with open source ecosystems and rapid enterprise adoption converging to make advanced, customizable AI tools accessible to builders and businesses worldwide—including a notable push in Japan and emerging markets.

Articles
9
Companies
21
Topics
41

If AI infrastructure is now open and everywhere, what truly sets your AI apart?

Innovation weekOptimistic

Week 7

This week highlights the transformative role of AI in diverse industries, from real estate and fashion to gaming and sports, as new tools and innovations empower businesses and individuals to leverage AI for practical, commercial applications.

Articles
10
Companies
20
Topics
40

Is AI's real-world potential overhyped or underutilized across industries?

Agent Democratization WeekOptimistic

Week 6

The agentic future has bifurcated into two distinct paths: a viral open-source rebellion led by OpenClaw challenging proprietary silos, while Google moves to embed agency directly into the browser's DNA.

Articles
8
Companies
12
Topics
30

As Google embeds agency into Chrome and OpenClaw liberates the terminal, have we officially exited the 'chatbot' era?

Monthly synthesis

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