🤖 Google Search’s New Advanced AI Capabilities

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Welcome back AI enthusiasts!

In today’s Daily Report:

• 🔍Google Search’s New Advanced AI Capabilities

• 👷Deconstructing How LLMs Build Outputs

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

GOOGLE SEARCH

🔍Google Search’s New Advanced AI Capabilities

Google Search just rolled out “Deep Search,” a new feature within AI Mode that’s designed to answer your toughest questions.

Key Details:

• So, what’s AI Mode? It’s an extension of AI Overviews, which provides AI-generated summaries at the top of your Google Search results.

• “Deep Search” is a new feature within AI Mode that enables you to ask more complex, multi-part questions to dig deeper on any topic.

• It leverages a “Query Fan-Out” technique, which simultaneously runs hundreds of related searches across various subtopics covering several data sources.

• It’s all powered by Gemini 2.5 Pro, an advanced AI model that “thinks” before it responds. It’s equipped with a hybrid reasoning engine that allows it to analyze information, draw logical conclusions, and incorporate context.

• Unfortunately, it’s only available for Google AI Pro and Google AI Ultra subscribers.

• To help you get even more done, Google Search can now deploy AI Agents to call local businesses on your behalf.

Why It’s Important:

• It’s perfect for helping you make smarter decisions when faced with complex life choices related to your job, hobbies, or studies.

• For example, it can analyze a specific house you’re trying to buy and generate a comprehensive report in minutes that evaluates current mortgage rates, future property value trends, and the quality of local schools.

🩺 PULSE CHECK

AI RESEARCH

👷Deconstructing How LLMs Build Outputs

Leaders from frontier AI firms, including OpenAI, Anthropic, and Google DeepMind, are urging deeper investigation into CoT to monitor how LLMs transform inputs into outputs.

Key Details:

• An LLM is often referred to as a “black box” that consumes massive amounts of high-quality datasets and significant computing power to generate responses. It’s not always clear why LLMs generate a specific response.

• Opening up the “black box” doesn’t help either because LLMs think before generating responses, which appears as a series of random numbered lists called neural activations: {0=0.83, 1=0.15, 2=0.47}.

• These neural activations happen across multiple layers within an LLM:

  1. Initial Layers: punctuation and sentence structure.

  2. Middle Layers: meaning, content, and context.

  3. Deep Layers: tone, intent, and reasoning.

• Chain-of-Thought (CoT) encourages an LLM to provide a step-by-step breakdown of why it generates a specific response. In other words, CoT offers a rare glimpse into how LLMs think in a way that we can easily understand.

Why It’s Important:

• The most unsettling aspect of today’s LLMs isn’t that they work; it’s that we don’t fully understand how they work.

• If we can understand how LLMs choose to generate specific responses, we can reduce the number of harmful, biased, untruthful, and dangerous outputs.

PROMPT ENGINEERING TIPS

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The ability to think from first principles is all about breaking down complex problems into their most basic, fundamental truths, and then reasoning up from there.

In other words, you ignore how something has always been done. You don’t rely on assumptions, analogies, or traditions. You go straight to the core of the complex problem.

This simple prompt turns ChatGPT into your personal first principles coach:

• Context: I want to improve my problem-solving skills,

• Clarity: but I often default to conventional wisdom.

• Guidance: Can you help me analyze {Insert Complex Problem} by identifying the fundamental truths behind it?

I want to improve my problem-solving skills, but I often default to conventional wisdom. Can you help me analyze {Insert Complex Problem} by identifying the fundamental truths behind it?

🛠TRENDING TOOLS

🎓Clasely is your AI-powered study buddy.

🕸️Codapt.ai builds real websites 30x faster.

👔Pagey creates a personal page in minutes, not hours!

✍️Rytr is your AI Writing Assistant for short-form content.

📱Callab AI deploys AI Voice Agents that make human-like phone calls.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

The Trump Administration announced a $92 billion commitment to cutting-edge energy initiatives to make America an AI superpower.

Runway introduced “Act-Two,” which maps your body movements and facial expressions onto animated characters with lifelike realism.

Anthropic launched “Claude for Financial Services,” which streamlines how finance professionals analyze markets and make investment decisions.

Mistral AI unveiled “Voxtral,” a family of cost-effective, compute-efficient, and open-source speech understanding models that transcribe spoken words.

💰FUNDING FRONTLINES

• Abacus raised a $6.6M Seed Round to deploy Agentic Accounting Assistance.

• Heron secured a $16M Series A to automate your Document-Heavy Work with AI Agents.

• Thinking Machines Lab closed a $2B Seed Round to build Multimodal AI Models that mimic the messy way we collaborate.

💼WHO’S HIRING?

• Scout AI (Sunnyvale, CA): AI Engineer Intern, Fury Team, Fall 2025

• iHeartMedia (Dallas, TX): Financial Analyst, Entry-Level

• Bland AI (San Francisco, CA): AI Deployment Engineer, Mid-Level

• OpenAI (San Francisco, CA): Principal Engineer, GPU Platform, Senior-Level

📒FINAL NOTE

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