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šŸ¤– NVIDIA’s the Most Valuable Publicly Traded Company

PLUS: AI Predicts Gene Regulation From DNA Sequences?!

Welcome back AI enthusiasts!

In today’s Daily Report:

  • šŸ“ˆNVIDIA’s the Most Valuable Publicly Traded Company

  • 🧬AI Predicts Gene Regulation From DNA Sequences?!

  • šŸ› Trending Tools

  • 🄪Brief Bites

  • šŸ’°Funding Frontlines

  • šŸ’¼Who’s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

NVIDIA

šŸ“ˆNVIDIA’s the Most Valuable Publicly Traded Company

On Thursday, NVIDIA’s stock market value reached $3.78 trillion, making it the world’s most valuable publicly traded company.

Key Details:
  • The chipmaker’s stock price rose more than 6.56% over the past five days, closing at a record high of $155.02. So, what’s fueling this growth?

  • Everyone’s building Large Reasoning Models (LRMs) to emulate how humans plan and reason.

  • They achieve this by utilizing Test-Time Compute (TTC), which allocates more computing power during AI Inference: everything that happens after you enter your prompt.

  • TTC relies on two reasoning frameworks:

    1. ā›“ļøā€šŸ’„Chain-of-Thought (CoT) to break down complex problems into manageable sub-problems.

    2. 🦾Reinforcement Learning (RL) to mimic the ā€œtrial-and-errorā€ process humans use to learn, where decisions that lead to desired outcomes are reinforced.

Why It’s Important:
  • AI Inference isn’t static anymore. With TTC, any prompt can trigger a multi-step reasoning process. That’s why NVIDIA’s winning: every reasoning step means more demand for GPUs.

  • Since April 2025, NVIDIA’s ā€œmarket capā€ (i.e., the total value of a company’s shares) has grown by roughly $1 trillion, a rally of about 37% in just a few months.

🩺 PULSE CHECK

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AI RESEARCH

🧬AI Predicts Gene Regulation From DNA Sequences?!

Google DeepMind just introduced ā€œAlphaGenome,ā€ an AI-powered tool trained on DNA to predict, design, and understand genetic sequences.

Key Details:
  • Our DNA contains sequences of billions of ā€œletters,ā€ which tell our body how to grow, heal, and function.

  • These sequences are a specific order of the four Nucleotides: Adenine {A}, Thymine {T}, Cytosine {C}, and Guanine {G}.

  • For example, a small piece of DNA might look like this: {ATCGTACG}. The order of these ā€œlettersā€ matters a lot. Even a minor change can impact how our body functions.

  • But here’s the twist: only about 2% of our DNA actually contains genes, which tell our body how to build tissues and fight infections.

  • For decades, the other 98% of our DNA was dismissed as ā€œjunkā€ because we didn’t fully understand what it did. But now, we know it’s far from useless.

  • It helps regulate when, where, and how our genes turn on or off. The problem? It’s incredibly hard to decipher. It’s like trying to understand a foreign language without a dictionary.

  • That’s where ā€œAlphaGenomeā€ comes in. It can read long strands of the other 98% of our DNA to understand the hidden layers of our genetic blueprint.

Why It’s Important:
  • Many diseases are influenced by mutations in the other 98% of our DNA. For example, a single change in a Nucleotide might reduce the expression of a gene, contributing to genetic diseases like cancer or diabetes.

  • Approximately 400 million individuals worldwide are affected by rare genetic diseases, representing around 5.9% of the global population. Around 80% of rare diseases have a genetic cause.

PROMPT ENGINEERING TIPS

āš™ļøBrainstorm Like an Expert!

A powerful brainstorm isn’t random; it’s structured, strategic, and expansive.

Great ideas don’t just happen. They’re sparked by the right questions, pushed by perspective shifts, and shaped through iteration.

The first idea sparks the fire, but expert brainstormers fan the flames to build true creative momentum.

This simple prompt helps ChatGPT elevate your brainstorming sessions:

  • Context: I’m trying to generate ideas for {Insert Project},

  • Clarity: but I feel stuck because my thinking feels repetitive.

  • Guidance: Can you help me think more creatively by introducing unexpected perspectives with provocative ā€œwhat ifā€ scenarios?

I'm trying to generate ideas for {Insert Project}, but I feel stuck because my thinking feels repetitive. Can you help me think more creatively by introducing unexpected perspectives with provocative "what if" scenarios?

šŸ› TRENDING TOOLS

šŸ“±Simple AI deploys AI-powered phone calls in minutes.

šŸ‘ŸMASONRY lets AI Agents handle the busywork for you.

šŸµMintlify creates, manages, and optimizes documentation.

🧸Runbear builds AI Agents for Slack, Discord, and HubSpot.

šŸ“†Smart Calendars AI creates events from text, web, photo, or speech.

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

🄪BRIEF BITES

Higgsfield AI released ā€œSoul,ā€ a high-aesthetic photo model that generates ultra-realistic, fashion-grade photographs.

Creative Commons introduced ā€œCC Signals,ā€ which allows creators to express whether AI can train, generate, or repurpose their content.

ElevenLabs unveiled ā€œVoice Design v3,ā€ which generates production-ready voices in 70+ languages with hundreds of localized accents.

Anthropic launched ā€œBuild & Share,ā€ which gives you the ability to build, host, and share interactive AI-powered apps directly within Claude.

šŸ’°FUNDING FRONTLINES

  • Mandolin secured a $40M Series A to obliterate specialty drug paperwork.

  • XBOW closed a $75M Series B to automatically find and exploit vulnerabilities in 75% of web benchmarks.

  • Mahalo raised a $2.6M Pre-Seed to transform your customer’s product experiences with AI-driven troubleshooting.

šŸ’¼WHO’S HIRING?

  • Scale AI (San Francisco, CA): Technical Advisor Intern, GenAI, Fall 2025

  • NVIDIA (Santa Clara, CA): ASIC Design Efficiency Engineer, Entry-Level

  • Symbolica (San Francisco, CA): ML Infrastructure Engineer, Mid-Level

  • Otter.ai (Mountain View, CA): Senior Research Scientist, Senior-Level

šŸ“’FINAL NOTE

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