🤖 OpenAI Finally Launched GPT-5!

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In today’s Daily Report:

• 🚀OpenAI Finally Launched GPT-5!

• 👷LEGO Houses Can’t Trick AI Anymore

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

OPENAI

🚀OpenAI Finally Launched GPT-5!

OpenAI finally introduced “GPT-5,” an advanced AI model with built-in thinking that puts expert-level intelligence into everyone’s hands. After nearly a year of anticipation filled with countless sneak peeks, it’s finally here! Let’s break it down.

Key Details:

• “GPT-5” delivers major leaps in speed, accuracy, reasoning, context recognition, structured thinking, and problem-solving. It’s like having a team of specialized experts on call, ready to help you with whatever you need, whenever you need it.

• It’s comprised of two Models:

  1. Smart, Efficient Model: Handles the simple daily tasks that require general knowledge.

  2. Deep Reasoning Model: Handles the more complex tasks that require multi-step reasoning and intricate problem-solving.

• “GPT-5” deploys a “real-time router” that quickly decides which Model to use based on the complexity of the conversation.

• It achieved 94.6% accuracy on the 2025 American Invitational Mathematics Examination (AIME), which involves difficult mathematical challenges that cover anything from algebra and geometry to trigonometry. It also scored 74.9% accuracy on SWE-bench Verified, which evaluates the ability to resolve real-world GitHub issues. For context, it beat every other advanced AI model on the 2025 AIME and SWE-bench Verified.

Why It’s Important:

• It transforms ChatGPT from a reactive chatbot into more of a proactive companion that actively interacts with your computer to perform actions on your behalf. It can find, analyze, and synthesize content across hundreds of websites to generate comprehensive summaries.

• 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 review a job offer you’re considering and generate a detailed report in minutes that explores salary milestones, evaluates company culture, and outlines potential career growth opportunities.

🩺 PULSE CHECK

AI RESEARCH

👷LEGO Houses Can’t Trick AI Anymore

Researchers at MIT EECS, MIT LIDS, and MIT CSAIL recently developed an optimized algorithm that helps machines recognize objects from different angles without getting confused by flips, turns, or twists.

Key Details:

• Imagine you built a LEGO Modern House that has sharp angles and clean edges. It’s neat, minimalist, and symmetrical. You decide to capture a photo of the LEGO Modern House from the front. Then, you take another photo from the back.

• You, as a human, can instantly recognize: “That’s the same LEGO Modern House in each photo, just turned around!” But a Machine Learning (ML) Model might think: “That’s a completely different LEGO house in the other photo!”

• So, what’s causing this? The ML Model sees a new arrangement of sizes, shapes, and shadows. Your LEGO Modern House doesn’t change when you take another photo from the back, but the pixels within the photo do.

• To solve this issue, they developed an optimized algorithm that heavily relies on Group Theory (GT): a branch of mathematics that studies algebraic structures called groups, which explore how things combine and interact.

• Imagine turning a shape around a fixed point. For example, rotating a square 180 degrees (180°). This rotation flips the square upside down, but the square still looks the same. This shows that rotations can change the position of shapes without altering how they look or changing what they are.

Why It’s Important:

• Normally, teaching an ML Model to recognize different variations of the same object requires Data Augmentation (DA), which involves artificially generating new data from existing data. This process is time-consuming and computationally expensive.

• This breakthrough eliminates the need for DA, enabling ML Models to learn faster, utilize less data, and better understand the true nature of objects.

PROMPT ENGINEERING TIPS

⚙️Build Resilience Gradually!

The truth is, resilience isn’t about never failing; it’s about bouncing back stronger than ever after you do. In other words, it’s about maintaining a positive outlook even in the face of adversity.

Building resilience is a gradual process that involves cultivating specific skills and adopting healthy habits to better cope with stress and hardship.

This simple prompt turns ChatGPT into your resilience trainer:

• Context: I often get discouraged by failures or setbacks,

• Clarity: but I want to strengthen my ability to learn, adapt, and move forward.

• Guidance: Can you help me identify small, actionable, and consistent habits to build resilience within {Insert Specific Challenge}?

I often get discouraged by failures or setbacks, but I want to strengthen my ability to learn, adapt, and move forward. Can you help me identify small, actionable, and consistent habits to build resilience within {Insert Specific Challenge}?

🛠TRENDING TOOLS

📦Lodoy validates your ideas before you launch.

🪧workPPT generates professional presentations in minutes.

🤝Colby autonomously researches prospects to find new leads.

✉️Draftr.co perfectly learns your voice to pre-draft email replies.

💬PDF Guru chats with your PDFs to clarify, translate, or dig deeper.

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

🥪BRIEF BITES

Google introduced “Guided Learning in Gemini,” which helps you build a deep understanding of any skill, topic, or concept instead of just generating answers.

VP, Head of Search Elizabeth Reid published an article claiming that AI in Google Search is driving more user queries and higher quality clicks than ever before.

Microsoft developed “Cognitive Loop via In-situ Optimization (CLIO),” which helps machines think, adjust, and learn on their own when tackling complex problems within challenging scientific domains.

In April, Duolingo CEO Luis von Ahn shared that he planned to take an “AI-first” approach and “rethink much of how we work.” Despite initial backlash, Duolingo’s revenue reached $252.3 million, achieving 41% Year-over-Year (YoY) growth, while adding 148 new GenAI-based language courses.

💰FUNDING FRONTLINES

• Chai Discovery closed a $70M Series A to engineer better molecules.

• Elion secured a $9.3M Seed Round to explore, compare, and evaluate healthcare technology.

• FloVision Solutions raised an $8.7M Series A to develop AI-driven analytics tools for the global food industry.

💼WHO’S HIRING?

• Workato (Palo Alto, CA) Product Marketing Intern, Fall 2025

• Meta (Austin, TX): Support Design Associate, PayOps, Entry-Level

• Labelbox (San Francisco, CA): Applied Research Engineer, Mid-Level

• Leonardo.Ai (San Francisco, CA): Sr. Art Director, Senior-Level

📒FINAL NOTE

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