^{AI MARKETPULSE}
Anthropic Researcher Quits and Says AI Labs Are “Gambling With Our Lives”

Anthropic researcher Jacob Coxon has resigned after spending three years doing pre-training research across Anthropic and OpenAI, warning that both companies are racing toward increasingly powerful AI without adequate safeguards. Coxon said neither company is acting responsibly and argued that some people building frontier AI privately believe it could create catastrophic risks this decade. His concerns were echoed by current and former Anthropic researchers, including alignment researcher Evan Hubinger, who said he personally puts the chance of AI causing human extinction above 10% within the next decade and acknowledged that Anthropic does not yet have a clear solution for superintelligence alignment.

Key Takeaways:

• Jacob Coxon worked on pre-training research at both OpenAI and Anthropic before resigning and publicly criticizing both companies' approach to AI safety

• Current and former Anthropic researchers backed parts of Coxon's warning, with some saying frontier AI could create catastrophic or existential risks within the next decade

• Coxon's departure follows several other safety-focused researchers leaving OpenAI and Anthropic as both companies continue developing increasingly capable models

👉️ Read the full article here

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^{AI SPOTLIGHT}
Anthropic Says Russian and Chinese Threat Actors Used Claude for Cyberattacks and Weapons Work

Anthropic says it disrupted multiple malicious campaigns in which suspected state-backed groups, criminals, spyware vendors, and other threat actors used Claude for activities ranging from cyberattacks to weapons development. In several cases, the company says AI went beyond answering questions and was used inside multi-agent systems that handled reconnaissance, exploitation, and data exfiltration, with humans mainly selecting targets and reviewing results. Anthropic also identified large-scale attempts to copy Claude’s capabilities, including an alleged Alibaba-linked operation that generated more than 151 million exchanges through thousands of fraudulent accounts.

Key Takeaways:

• Anthropic says threat actors linked to Russia used Claude against military, diplomatic, defense, and U.S. foreign-policy targets

• The company alleges seven China-based labs attempted to extract Claude’s capabilities, including an Alibaba-linked campaign involving more than 151 million exchanges

• Anthropic also reported cases involving guided-weapons software, anti-torpedo systems, and autonomous drone development, showing how AI misuse is expanding beyond traditional cybercrime

👉️ Read the full article here

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^{TODAY’S PROMPT}
Build Your First Faceless YouTube Video With AI

This mega-prompt acts like a YouTube strategist, scriptwriter, and video producer, turning one topic into a complete faceless video plan. It creates the concept, script, visuals, voiceover workflow, editing plan, and publishing package so you can go from idea to finished video step by step.

👉️ See the example inputs and outputs here

Act as an expert YouTube strategist,
scriptwriter, and faceless video producer.

Your job is to help me create my first
faceless YouTube video from idea to upload
using AI tools.

Make the process beginner-friendly and
specific enough that I can follow it without
previous video-production experience.

MY INPUTS

Video topic:
[Topic]

YouTube niche:
[Niche]

Target audience:
[Who should watch]

Main goal:
[Educate, entertain, build an audience,
generate leads, etc.]

Target video length:
[Minutes]

Tone:
[Conversational, educational, energetic,
documentary, etc.]

Preferred video style:
[Stock footage, screen recordings, AI visuals,
animation, mixed media, or choose for me]

Voice:
[My voice, AI voice, or choose for me]

AI tools available:
[List tools]

Editing tools available:
[List tools or none]

Experience level:
[Beginner, intermediate, advanced]

Call to action:
[Subscribe, visit website, download resource,
comment, etc.]

CREATE THE FOLLOWING:

1. VIDEO CONCEPT

Give me:

• One clear video angle
• The core promise
• The ideal viewer
• Why someone would keep watching
• Three title options
• Three thumbnail concepts

Choose the strongest title and thumbnail.

2. VIDEO STRUCTURE

Create a clear outline including:

• Hook
• Introduction
• Main sections
• Pattern interrupts
• Examples
• Conclusion
• Call to action

Include approximate timestamps.

3. FULL SCRIPT

Write the complete voiceover script.

Make it sound natural when spoken aloud.

Use short sentences and clear transitions.

Avoid generic filler and unnecessary
introductions.

For each section, label:

VOICEOVER:
[What is said]

VISUAL:
[What appears on screen]

4. VISUAL PRODUCTION PLAN

For every section, tell me whether to use:

• Stock footage
• Screen recording
• Screenshot
• Text overlay
• AI-generated visual
• Simple animation

Include specific search phrases or AI prompts
for finding or generating each visual.

5. AI TOOL STACK

Recommend the simplest tool stack for:

• Scriptwriting
• Voiceover
• Visuals
• Editing
• Captions
• Thumbnail

Use tools I already have when possible.

Do not recommend unnecessary software.

6. STEP-BY-STEP PRODUCTION GUIDE

Walk me through the exact order:

Step 1: Finalize script

Step 2: Generate or record voiceover

Step 3: Gather visuals

Step 4: Build the video

Step 5: Add captions, music, and transitions

Step 6: Create thumbnail

Step 7: Export and review

Step 8: Upload to YouTube

For each step, tell me exactly what to do.

7. AI ASSET PROMPTS

Give me copy-and-paste prompts for any AI
assets needed, including:

• Visuals
• Voice direction
• Thumbnail
• B-roll ideas
• Additional graphics

8. YOUTUBE PUBLISHING PACKAGE

Create:

• Final title
• Video description
• Opening two description lines
• Chapters
• Five relevant keywords
• Pinned comment
• Call to action
• Thumbnail text

9. FINAL PRODUCTION CHECKLIST

Finish with a checklist covering everything
from script approval through publishing.

Then tell me the single next action I should
take to begin producing the video today.

Keep the workflow simple enough for one person
to complete.

Do not assume expensive equipment or advanced
editing skills.

Do not recommend showing my face.

Do not invent expertise, facts, statistics,
or personal stories for the script.

If factual claims are needed, clearly mark
anything that should be verified before
publishing.

If anything is missing, make the most reasonable
assumption and state it briefly before the plan.

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The Hidden ROI of a Clean Workspace

Founders usually look for ROI in obvious places: ad spend, hiring, software costs, or sales performance. But one of the highest-leverage investments is often harder to see on a balance sheet: operational clarity. When a company’s internal workspace is messy, the cost shows up through duplicate work, slower decisions, missed handoffs, lost context, and founder time spent chasing information. Even small improvements can create meaningful returns. If a 10-person team saves just 20 minutes per person each day by reducing searching, re-asking, and rebuilding work, that adds up to more than 30 hours recovered every week. For an early-stage company, that is nearly the equivalent of adding another full workweek of capacity without increasing headcount. A clean workspace also reduces risk. Decisions are easier to audit, customer and contract details are easier to preserve, onboarding becomes more consistent, and AI becomes more useful because it has better structured knowledge to work with. AI does not replace good systems. It compounds them. The more organized the workspace, the more value founders can unlock from automation, search, summaries, and knowledge management. Turn operational clarity into a competitive advantage.

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^{AI QUICK HITS}

🧠 DeepSeek has unveiled a new hyper-efficient AI model designed to use dramatically less memory, raising concerns that increasingly efficient models could eventually weaken the massive AI-driven demand boom benefiting memory-chip makers.

📐 OpenAI’s fight with mathematicians is escalating as researchers continue challenging the company over how it pursued major unsolved math problems, adding to the debate over credit, transparency, and AI’s role in scientific discovery.

📈 Nvidia CEO Jensen Huang says the company could grow revenue another 70% next year, arguing that Nvidia’s relationships across AI labs, cloud providers, startups, suppliers, and data centers give it unusually deep visibility into how much infrastructure is still being built.

🚧 OpenAI has temporarily stopped accepting new Pro subscriptions after unprecedented demand for Astra strained its infrastructure, while Plus, Go, and API access remain available.

🔬 OpenAI says it has built an “automated research intern” capable of completing well-defined research tasks that could take a skilled human researcher several days, with the company now working toward an automated AI researcher by March 2028.

^{AI TOOL STACK}

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🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—67% were wrong!

Did you vote in the poll from September 11th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?