Happy Friday! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! 🔥

We’ve partnered with our friends at Captivate Talent to better understand how AI and AI Agents are reshaping go-to-market strategies.

We’re running a benchmarking survey to uncover how SaaS teams are adopting AI and autonomous agents, and we’d love your input.

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3. Exclusive invite: We’re also hosting a dinner on April 16th in Atlanta during Pavilion’s CMO Summit to discuss AI in GTM—let us know if you’re interested!

Take the survey: https://captivatetalent.typeform.com/to/B1AyjCLi (We are collecting data through the end of April and will share benchmarks in May to those who respond).

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_{Here’s what we got for you:}

• 🤖 AI 2027: ASI forecast - Stumbling Agents to Superhuman Researchers

• 🎧 Weekly Podcast Updates

• 🚀 Google’s newest Gemini AI model focuses on efficiency

• ❇️ Google Workspace gets automation flows, podcast-style summaries

• 😮The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

• 🤖 Microsoft brings Copilot Vision to Windows and mobile for AI help in the real world

• 😎Amazon says its AI video model can now generate minutes-long clips

🤖 AI 2027: ASI forecast - Stumbling Agents to Superhuman Researchers

The most respected AI researchers just published what's an extinction-level event for traditional business models.

I've just reviewed the most comprehensive forecast on how AI will transform business and society over the next 2 years.

This isn't hype—it's a meticulously researched projection based on current development trajectories.

Here's what you need to prepare for:

Three AI Inflection Points Coming Faster Than Anyone Predicted

The Agent Transition (Mid-2025)

• First-generation autonomous AI agents enter the market as specialized assistants

• Early adoption challenges: reliability issues and high costs limit widespread use

• Progressive companies will integrate them into workflows despite limitations

• By late 2025, specialized coding and research agents begin transforming professional work

The Business Model Disruption (Mid-2026)

• Companies implementing AI at scale will achieve 3-5x productivity multipliers

• The gap between AI-native and traditional businesses becomes measurably unbridgeable

• Traditional competitive advantages evaporate as AI systems master industry knowledge

• Early adopters lock in market share that becomes mathematically impossible to recapture

The Workforce Transformation (July 2027)

• Agent-3-mini reaches public release, fundamentally altering labor markets overnight

• Junior programming roles see dramatic reduction in demand as AI coding capabilities mature

• Investment shifts decisively toward AI-native business models and applications

• Remote knowledge work undergoes substantial restructuring

Your 18-Month Preparation Window Is Closing

By 2027, one AI-augmented engineer will achieve productivity previously requiring multiple team members. The organizations that develop integration strategies now will secure significant advantages when these capabilities mature.

The question isn't whether these transitions are coming—it's whether you'll be positioned to capitalize on them or be left scrambling to catch up.

What's your company's AI readiness strategy for the next 12 months? The future belongs to those who prepare for it today.

Source: A research-backed AI scenario forecast.

🙌This week's podcast episodes...

😮 Google’s newest Gemini AI model
focuses on efficiency

Google is launching Gemini 2.5 Flash, a new AI model focused on efficiency, low latency, and cost-effectiveness, coming soon to Vertex AI. It allows developers to adjust speed, accuracy, and cost based on task complexity, making it ideal for high-volume, real-time uses like customer support and document parsing.

Though it sacrifices some accuracy, its reasoning capabilities enable better fact-checking. Google will also roll it out for on-premises use via Google Distributed Cloud in Q3, in partnership with Nvidia. No technical or safety report was released, as the model is still considered experimental.

🔹Google Workspace gets automation flows,
podcast-style summaries

Google is enhancing Workspace with new AI-driven tools to automate tasks and boost productivity:

• Workspace Flows: Automates multi-step workflows (e.g., updating spreadsheets, finding data in documents). Users can describe tasks in plain language, and Flows will build logic-driven automations. It also integrates with Google Drive and custom chatbots (Gems), and will soon support third-party tools.

• Docs: New features will turn drafts into podcast-style summaries and provide editing suggestions through “Help me refine.”

• Sheets: “Help me analyze” will offer trend analysis, guidance, and interactive charts.

• Meet: A tool called “Take notes for me” will summarize video calls.

• Chat: Users can now call on the Gemini chatbot using @gemini.

• Google Vids: Will soon generate video clips using the Veo 2 model.

• Compliance: New data residency controls will help meet regulations like GDPR.

These upgrades continue Google's push to make Workspace a leading AI-first productivity suite. —Read more here.

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation

Meta Launches Llama 4: A New Era in Open-Source AI

🚀 Model Releases

• Llama 4 Scout (17B active params, 16 experts):

  • Compact, runs on a single NVIDIA H100

  • Best-in-class in its size for multimodal tasks

  • Supports 10 million token context — ideal for multi-document processing

  • Outperforms Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1

• Llama 4 Maverick (17B active params, 128 experts):

  • Beats GPT-4o and Gemini 2.0 Flash in many benchmarks

  • Strong on reasoning, coding, multilingual, and image tasks

  • Offers an excellent performance-to-cost ratio

  • Powered by 400B total parameters using a mixture-of-experts (MoE) architecture

• Llama 4 Behemoth (Preview):

  • 288B active params, nearly 2T total params

  • Among the most intelligent LLMs

  • Outperforms GPT-4.5 and Claude Sonnet 3.7 on STEM tasks

  • Serves as the teacher model for Scout and Maverick

🧠 Tech Innovations

• First Llama models with MoE architecture: boosts compute efficiency by activating only relevant model experts per token.

• Multimodal-first design: integrates text, images, and video via early fusion.

• Uses FP8 training precision, iRoPE architecture for long-context support, and new hyperparameter tuning method "MetaP".

• Post-training includes:

  • Lightweight fine-tuning

  • Reinforcement learning with hard prompts

  • Direct Preference Optimization to polish outputs

🛡️ Safety & Alignment

• Implements Llama Guard, Prompt Guard, and CyberSecEval to improve safety and reduce risks.

• New red-teaming tool GOAT improves adversarial testing.

• Major gains in reducing bias and refusal rates on controversial topics.

🌍 Open Source & Availability

• Free to download: Available now via llama.com and Hugging Face

• Integrated into Meta AI tools like WhatsApp, Messenger, and Instagram

• Designed to power the future of personalized, multimodal AI — Read more.

🤖Microsoft brings Copilot Vision to Windows and mobile for AI help in the real world

Copilot Vision, previously limited to Edge, now works on iOS, Android, and soon Windows. It can analyze real-time camera input or your PC screen to offer helpful tips—like plant care or Photoshop guidance.

It differs from Recall by offering live assistance, not passive snapshots. The update is live on mobile and coming to Windows Insiders next week, along with new Copilot features like memory, personalization, and podcast creation. Know more here.

😮Amazon says its AI video model can now generate minutes-long clips

Amazon's Nova Reel 1.1 can now generate up to two-minute videos with multi-shot consistency from prompts up to 4,000 characters. A new “Multishot Manual” mode lets users guide composition using images and shorter prompts.

Exclusively available via AWS platforms, Nova Reel is part of Amazon's push into the generative video space, competing with OpenAI and Google. However, concerns remain over the undisclosed training data and copyright risks, though Amazon promises legal protection for AWS users under its indemnification policy. - Read More

Your competitors are already using AI.
Don't get left behind.

Executives:

Step beyond the basics.

Embrace advanced AI to scale your impact, stay competitive, and lead your organization into the future.

The time to act is now.

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