Presented by
Good morning, AI enthusiasts. OpenAI just launched Daybreak, its cybersecurity AI initiative built on GPT-5.5 and a Codex Security agent, positioning it as the direct answer to Anthropic's Claude Mythos roughly 30 days after Mythos dominated headlines.
Security AI has gone from a vague use case to a real competitive battleground in one month. For organizations evaluating AI security tools, there are now two frontier-grade options where there were none a year ago.
In today's recap:
OpenAI's Daybreak lands as a Mythos answer
Microsoft scouts AI option outside OpenAI
Run coding agents from your phone with Copilot
Poetiq's harness beats every frontier model
4 new AI tools, prompts, and more
OPENAI
OpenAI launches Daybreak to counter Mythos
OpenAI
Recaply: OpenAI just launched Daybreak, a cybersecurity AI initiative built on GPT-5.5 and a Codex Security agent, positioning it as the direct answer to Anthropic's Claude Mythos a month after Mythos dominated headlines.
Key details:
Daybreak combines two new GPT-5.5 security models with a Codex Security agent that builds a threat model from an org's codebase, maps attack paths, and validates vulnerabilities automatically.
OpenAI calls Daybreak a multi-model initiative, not a single release, working with both industry and government partners. It launched roughly 30 days after Anthropic's Mythos announcement.
Anthropic's Mythos project suffered an unauthorized access breach during its launch period, according to reports. OpenAI has not disclosed similar incidents involving Daybreak.
GPT-5.5-Cyber and Trusted Access for Cyber began rolling out the week before the official launch. Current access is limited to enterprise and government customers.
Why it matters: Security AI has gone from a vague use case to a real competitive battleground in one month. OpenAI naming Daybreak as its explicit answer to Mythos confirms it. For organizations evaluating AI security tools, there are now two frontier-grade options where there were none a year ago. That's a fast shift worth watching.
PRESENTED BY OYSTER
Still setting up entities in every country you hire?
What’s changing in how companies expand globally?
Hiring internationally used to mean opening entities, navigating months of legal setup, and building local infrastructure before making a single hire.
That model is starting to shift.
More companies are using EOR not just as a temporary solution, but as a strategic way to access talent faster, test new markets with less risk, and scale globally without adding operational complexity too early.
But the biggest change may not be the hiring model itself. It’s how companies think about expansion.
Instead of building infrastructure first and hiring second, many teams are now hiring where the best talent already exists — and building strategy around that reality.
Oyster’s Strategic EOR Whitepaper explores how modern companies are using EOR to scale internationally, where the model works best, and why the global expansion playbook is evolving faster than most leaders realize.
MICROSOFT & INCEPTION AI
Microsoft eyes its second AI partner
Recaply: Microsoft just entered talks to acquire Inception AI. The startup builds Mercury 2, the world's first reasoning model on a diffusion architecture, not a transformer.
Key details:
Mercury 2 uses diffusion to generate answers in parallel, not word by word like transformer models. Inception says this removes a core bottleneck in AI reasoning.
Microsoft has invested over $100B in OpenAI total. Inception's valuation sits at $1B+, but the architecture difference matters more than the price tag.
Microsoft's fund M12 was already in Inception's $50M seed round. The company also looked at buying Cursor but walked away, and SpaceX signed that deal instead, according to Reuters.
Talks are early-stage with no timeline set, per Reuters.
Why it matters: Microsoft is looking for options outside OpenAI. That's expected. What's more interesting is the kind of option it's pursuing. Mercury 2 doesn't run on transformers, the design behind every major model from OpenAI, Google, and Anthropic. If the deal closes, Microsoft owns something no other major lab has. The Cursor miss, where SpaceX moved faster, shows there's real urgency to act.
GUIDES
Run and monitor coding agents from your phone
Recaply: In this tutorial, you will learn how to assign, track, and steer GitHub Copilot coding agents from your phone, keeping projects moving without opening a laptop.
Step-by-step:
Open the GitHub Mobile app on iOS or Android and go to a repository. Tap the Issues tab, find the task you want to delegate, and assign it to @github in the assignee field.
The Copilot agent opens a draft pull request and starts committing code. Go to github.com/copilot/agents to see all your running tasks in one view, or open the draft PR to watch commits come in.
On iOS 17.2 or later, enable Live Activities for GitHub Mobile in your phone settings. The agent's current status will appear on your lock screen and Dynamic Island with a tap-through to the pull request.
When the agent needs direction, open the draft PR and leave a review comment tagging @copilot with your instructions. The agent will read the comment and continue working.
Once the agent marks the PR ready for review, approve or request changes as you normally would. All CI and CD workflows need your approval before they run.
Pro tip: Add the GitHub MCP server in your repo settings to let the agent pull context from related issues and PRs on its own, without you having to feed it manually.
TOGETHER WITH HARMONIC SECURITY
Claude is not just a chatbot anymore. Is your security team ready?
Claude.ai is one thing. Agentic workflows, MCP connections, ungoverned skills taking actions across your data? That's a different conversation — and most security teams aren't equipped for it.
Harmonic Security gives your CISO the visibility and controls to say yes confidently.
AI RESEARCH
Poetiq harness tops every frontier coding model
Poetiq
Recaply: Poetiq just published results showing its Meta-System, a self-optimizing harness, achieved new SOTA on LiveCodeBench Pro, reaching 93.9% with GPT-5.5 and 90.9% with Gemini 3.1 Pro, both above every frontier model tested without fine-tuning.
Key details:
Poetiq's Meta-System lets models build and optimize their own test harnesses from scratch, then reuses those harnesses across different models, with no fine-tuning, special access, or hand-built pipelines needed.
Poetiq+GPT 5.5 scored 93.9% on LCB Pro, vs GPT 5.5 raw at 89.6% and Claude Opus 4.7 at 80.5%, a 13-point gap between the best and worst frontier model on the same benchmark.
Community skepticism is high: Reddit commenters called Poetiq vaporware, noting the company has sent only hype emails to waitlist users with no production product released yet.
Results are from LiveCodeBench Pro (25Q2), a continuously-updated benchmark designed to resist data contamination. Poetiq remains on waitlist with no public release date.
Why it matters: Self-play drove AlphaGo from decent to superhuman. This is the same idea applied to LLMs: instead of games, the model learns to write better testing rigs for itself. The 13-point gap between Poetiq+GPT 5.5 and raw Claude Opus 4.7 is too large to dismiss as noise. The catch: Poetiq is still a waitlisted product, so the harness works on paper but no one outside the lab has verified it independently yet.
TOOLS
Trending AI Tools
🎥 Image-to-Replica - Tavus's tool for turning any face from a single image into a conversational AI avatar
💻 Grok Build - xAI's agentic CLI for coding, building apps, and automating workflows
🎬 Violin - Open-source video translation tool combining speech recognition, LLM translation, and TTS in one MIT-licensed pipeline
🤖 Libra AI - Super agent that understands your data and context, takes actions on your behalf, and tops the GAIA benchmark
NEWS
What Matters in AI Right Now?
OpenAI launched Codex on the ChatGPT mobile app for iOS and Android, letting users monitor, steer, and approve coding tasks from their phone while the agent runs on a remote environment. Windows support and HIPAA-compliant Enterprise access are also coming.
GitHub launched Live Coding Agent Notifications on GitHub Mobile, letting developers track Copilot and third-party coding agent progress from their phone's lock screen via iOS Live Activities and Android Live Updates, with real-time status and tap-to-review.
Nous Research released Hermes Agent, an open-source agentic framework that crossed 140,000 GitHub stars in under three months and is now the most-used agent on OpenRouter, with self-evolving skills and support for 30B-parameter local models.
Anthropic announced a $200M four-year partnership with the Gates Foundation covering global health, education, and economic mobility, with Claude providing AI tools to improve healthcare access for 4.6 billion people in low- and middle-income countries.
Moonshot AI launched Kimi Web Bridge, a browser extension that lets AI agents interact with websites like humans, supporting Claude Code, Cursor, Codex, Hermes, and other agents with search, scroll, click, and type capabilities.
Raycast launched Raycast 2.0 beta as a public download, with Windows now matching the Mac app feature-for-feature and local LLM support coming during the beta period.
Stanford HAI launched the AI and Organizations Lab, a new research center studying how AI affects team dynamics, decision-making, and organizational performance, backed by Google and led by associate professor Melissa Valentine.
Stanford researchers found that AI is changing the form of cheating in schools but not the overall rate, while also launching a $1M AIMES seed grant program to fund research on reimagining AI in college teaching.
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Cheers, Jason
