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- 🧪 Claude Mythos Breaks the Ruler
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Claude Mythos just hit a predicted 16-hour task horizon, but METR says the benchmark is already running out of room. The real question: are AI agents getting smarter, or are our tests getting too small?
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AI INSIGHTS
METR just tested an early Claude Mythos Preview, and the headline number is huge: a predicted 50%-time-horizon of at least 16 hours.
This does not mean Claude can work alone for 16 hours straight. It means the model has about a 50% chance of finishing tasks that would take a skilled human around 16+ hours.
The test mainly covers software engineering, machine learning, and cybersecurity tasks, like debugging, coding, training classifiers, and solving technical problems.
But METR also added a warning: their benchmark is starting to max out. Out of 228 tasks, only 5 are longer than 16 hours, so results in this range are not stable enough for exact comparisons.
In plain English: Claude Mythos looks very strong, but the ruler is running out of room.
The bigger signal: AI agents are moving from short coding tasks into multi-hour technical work. The next race may be less about speed, and more about which model can keep context, use tools, and finish hard work without falling apart.
PRESENTED BY HARMONIC
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 SOURCES FROM AI FIRE
1. Follow Serious AI Founders Using AI to 2x Your Income (Exact Stack Behind All). Learn automated AI business systems, multi-model reviews, and AI agents that cut drafting cycles & skyrocket revenue by 87% in under 3 months.
2. Video: Elon Musk Just Built the World’s Smartest AI? [NEW Agent Mode inside Grok 4.3 Imagine]. Is this the first real AI assistant that doesn't just talk, but actually DOES the work for you?
3. Video: I Create a 3D Website Interface in 5 Minutes | Beginner Guide for Claude Design. How to turn those invisible nodes into a high-end 3D website interface that justifies premium agency pricing.
4. Video: I Would Start These 10 AI Businesses in 2026 to Make Up To $10K a Month as a Solopreneur. Real use cases, workflows, case studies, strengths, weaknesses, and which AI business model fits your current situation.
TODAY IN AI
AI HIGHLIGHTS
👀 Peekaboo 3.0 (from Peter Steinberger’s team, the team behind OpenClaw) is live, its biggest update since 2.0. It lets Codex, Claude Code, and Cursor see your Mac screen, read UI, click, type, and run desktop tasks.
🎙️ OpenAI launched 3 new realtime voice models in the API. GPT-Realtime-2 can reason while speaking, translate live, transcribe speech, and call tools during conversations.
🧠 Anthropic shared its new research agenda for AI that may help build future AI systems. The big focus: jobs, security risks, real-world AI use, and AI-driven R&D.
🎧 Spotify launched Personal Podcasts, so agents like OpenClaw, Claude Code, or OpenAI Codex can turn notes, briefings, or study plans into private podcasts in your library.
💻 Perplexity Personal Computer is now available to all Mac users. It can run agentic tasks across local files, Mac apps, the web, and Comet browser - even from your iPhone.
💰 AI Fundraising & Deals: Meta-backed Scale AI won a $500M Pentagon contract to help the US military process data and support faster decisions. The deal is 5x bigger than its $100M 2025 contract, showing how fast defense AI adoption is moving.
HOT PAPERS OF THE WEEK
1/ Open-source robot brains are getting closer to real deployment
MolmoAct2 from Allen Institute for AI and University of Washington introduces a fully open Vision-Language-Action model for robots. It can reason about scenes, understand spatial tasks, and control real robot actions. Big shift: open robot models may move beyond demos into real tasks like cleaning, washing dishes, wetlab work, and pouring tea.
2/ Language models can now turn long context into reusable skills
Ctx2Skill helps LMs learn rules and procedures from complex documents without human labels or outside feedback. It uses a multi-agent self-play loop where a Challenger creates tasks, a Reasoner solves them, and a Judge gives feedback. Key result: it improves models like GPT-4.1, GPT-5.1, and GPT-5.2 on context learning tasks.
3/ AI research agents can now work, review, and write while you sleep
ARIS introduces an open-source research harness for autonomous ML research. It uses Claude Code as the executor and a separate model like GPT-5.4 as the reviewer to catch weak claims, missing evidence, and bad experiments. Big impact: AI research may become more reliable when agents are forced to prove their work, not just produce polished papers.
NEW EMPOWERED AI TOOLS
📈 RankSpot is an AI SEO agent that researches competitors, writes articles, and publishes to your blog daily - helping you rank on Google and appear in AI answers.
🛠️ Monid 2.0 is OpenRouter for agent tools. Connect once, and your AI agent can discover, compare, and pay for 200+ tools on demand.
🗣️ Flare is a voice-first AI social app for Gen Z that turns photos, moods, and videos into memory and friendship context with an AI Orb.
🧩 Minions helps Hermes Agent users manage multiple agents in one task board with retries, check-ins, and smart escalation.
AI BREAKTHROUGH
AI agents are bad at navigating timeline-based editors. So Nous Research and HeyGen removed the timeline completely.
Hermes Agent now includes an official HyperFrames skill that treats videos like HTML files instead of GUI projects. Since AI already understands HTML, CSS, and JavaScript, it can now build and render videos the same way it writes code.
With one prompt, you can now:
→ Turn a PDF into a walkthrough video
→ Convert a GitHub repo into a launch trailer
→ Create animated titles, overlays, captions, and talking-head videos
Install is one line: $ hermes skills install hyperframes
The important part is consistency. Same input = same output every time, making it reliable for automated AI pipelines and agent workflows.
You still need Node.js 22+ and FFmpeg, but this pushes AI agents one step closer to handling full content production, not just coding tasks.
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