AI Fire
Posts
👋 AWS AI VP Matt Wood Departs Amazon

👋 AWS AI VP Matt Wood Departs Amazon

AI SEO Benchmark Report 2024

Jane Lee
October 09, 2024

AI Academy | Advertise | All In One AI Tool | Affiliate Program | Roadmap

Plus: AI SEO Benchmark Report 2024

Read time: 5 minutes

Amazon is seeing more leadership changes as VP Matt Wood leaves. This follows AWS CEO Adam Selipsky's exit, with Matt Garman now leading the cloud division.

IN PARTNERSHIP WITH KERN AI

Introducing GenAI for Digital Operational Resilience Act (DORA) - Join our Webinar

Are you prepared to strengthen your organization’s third-party risk and stay ahead of evolving regulatory demands when DORA kicks in on January 17th 2025. Join us as we explore how the latest AI technology empowering compliance teams to safeguard vendor risk more effectively than ever before.

Secure your spot

AI INISGHTS

🔍 AI SEO Benchmark Report 2024

AI is rewriting the rules of SEO - yet only a few marketers have embraced it.

Key takeaways:

72% of SEO pros haven't adopted AI; Influencer Marketing Hub sees 525% AI-driven revenue surge
AI content now 13.08% of top Google results; 31% worry about originality
AI automates 44.1% of SEO tasks, saving 17% 10+ hours weekly; improves rankings 49.2%
25.4% say AI outperforms humans; ContentShake AI boosts efficiency 12 times
57.6% note increased competition; Semrush's tool enhances content creation speed

Why it matters: Concerns about content quality and originality hinder AI adoption. The key is using AI strategically while focusing on building brand authority, trust, and unique insights.

TODAY IN AI

AI HIGHLIGHTS

🌀 AI models outperform traditional forecasts for Hurricane Milton, meteorologists embrace technology to predict storm paths and impacts faster

👋 AWS VP of AI Matt Wood exits Amazon after 15 years leading machine learning initiatives hints at new role

🤖 Zoom launches AI avatars feature letting users create digital copies to send brief messages while they're away

🔄 Gartner predicts that 80% of engineers must upskill for generative AI by 2027 transforming software roles

👽 Nvidia joins an alien that hunts scientists to find life in space. They're using smart tech to listen for strange radio signals from far away. It might change how we search the stars.

🚀 Databricks' new tool lets teams build AI apps fast and easily. No tech headaches, just use familiar tools to create smart dashboards and predictions.

DAILY AI FUNDRAISING

Legal tech startups raised $1.9B this year, more than doubling 2023’s total. EvenUp, an AI-powered legal startup, secured $135M in funding, pushing its valuation past $1B and achieving unicorn status.

AI SOURCES FROM AI FIRE

No Coding, No Problem: Build a Google Scraping AI Agent with This Free AI Tool

Learn how to create a Google scraping AI agent to easily gather LinkedIn profiles and store them in Google Sheets. Simple steps, no coding skills needed!

🔥 AI Fire Academy | AI Fire 101

NEW EMPOWERED AI TOOLS

✔️ Eddie AI is ChatGPT for video editing
💥 Kvistly is AI-quizzes for better trainings and team-buildings
📦 Cove is visual workspace for thinking with AI
🗃️ Sembly is your outsource your time‑consuming tasks to AI
⭐ Dashboard AI creates custom AI search assistants

AI QUICK HITS

💡 35 AI tools every small business trusts (Link)
🚀 Best AI productivity tools to try in 2025 (Link)
🛍️ Amazon's new AI guides help you shop smarter (Link)
🌍 Meta brings AI chatbot to Brazil and UK (Link)
📨 Anthropic's new API handles 10,000 queries (Link)

AI PROMPT

A prompt that helps Claude 3.5 Sonnet beat OpenAI's o1 model in reasoning (Shared by Harish SG)

Can Claude 3.5 from AnthropicAI outperform OpenAI's o1 in reasoning? By using methods like Dynamic Chain of Thoughts, reflection, and verbal reinforcement, models like Claude 3.5 can be prompted to improve reasoning and perform similarly to strong models like OpenAI o1.

Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches.
Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed.
Use <count> tags after each step to show the remaining budget. Stop when reaching 0.
Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process.
Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach:

0.8+: Continue current approach
0.5-0.7: Consider minor adjustments
Below 0.5: Seriously consider backtracking and trying a different approach

If unsure or if reward score is low, backtrack and try a different approach, explaining your decision within <thinking> tags.
For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs.
Explore multiple solutions individually if possible, comparing approaches in reflections.
Use thoughts as a scratchpad, writing out all calculations and reasoning explicitly.
Synthesize the final answer within <answer> tags, providing a clear, concise summary.
Conclude with a final reflection on the overall solution, discussing effectiveness, challenges, and solutions. Assign a final reward score.