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🍓 OpenAI working on new reasoning technology under the code name ‘Strawberry’

Happy Tuesday! Last week was action-packed, and the news keeps heating up.

July 16, 2024 • Estimated Reading Time: 9 minutes

Welcome, tech friends

Happy Tuesday! Last week was action-packed, and the news keeps heating up.

This week, news from big tech and AI in our Quick Hits. For Trending Tools, we’re showcasing trending product launches. This week’s Top Story looks at OpenAI’s not-so-secret project ‘Strawberry.’ For this week’s Deep Dive, we look at product discovery activities to reduce risk. And in Social Pulse, we share tools for backlinking your website and GPT learning prompts for your product teams.

Let's dive in! 👇

This week:

  • 🔥 Trending Tools: guidde, Hiive, Voicecheap, and more

  • 🏆 Top Story: New Rumor of an OpenAI Reasoning Breakthrough

  • 🔍 Deep Dive: Product discovery activities that reduce risk

  • 🌐 Social Pulse: Backlinks and GPT prompts for product teams

⚡ QUICK HITS

Airborne Olympics: Frances OKs flying taxis.

Airborne Olympics: Frances OKs flying taxis.

AI slimming: Meta introduces MobileLLM.

Atomic AI: OpenAI partners with Los Alamos.

Automated taxes: Intuit axes 10% of positions.

Right to copy: Judge dismisses Github suit.

Beautiful language: Duolingo acquires design studio.

Bot crackdown: DOJ seizes Russian bot farm.

Board exodus: Microsoft, Apple exit OpenAI.

Floppy farewell: Japan ditches disks.

European backers: VCs launch $250M AI fund.

Human touch: Nintendo rejects AI.

More CHIPS: Nontraditional tech hubs get $504M.

No training: Brazil blocks Meta.

Fund launch: Index Ventures raises $2.3B.

Out of the dark: Google gifts web monitoring.

Ticket takedown: Ticketmaster warns of hack.

Wrong-way Waymo: Cop pulls over driverless taxi.

Speed surge: Startup clocks 5 minute EV charge.

Young Quest: Meta lowers age for VR chat.

🏆 TOP STORY

🍓 OpenAI working on new reasoning technology under the code name ‘Strawberry’

OpenAI

REUTERS/Dado Ruvic

TL;DR

OpenAI is reportedly developing a new reasoning technology, codenamed "Strawberry," to enhance AI models' advanced reasoning and research capabilities.

Key Points

  1. Project "Strawberry": OpenAI's latest project focuses on improving the reasoning abilities of AI models. This new technology is expected to enable AI systems to handle more sophisticated tasks requiring advanced problem-solving skills.

  2. Advanced Reasoning: The development under "Strawberry" is geared towards enhancing AI's ability to understand and reason through complex scenarios, making it more effective in research and analytical tasks.

  3. Integration with Existing Models: The new technology will likely be integrated with existing AI models, such as GPT-4, to boost their performance in handling complex queries and providing more accurate and insightful responses.

  4. Potential Applications: The advancements in AI reasoning capabilities can have broad applications across various fields, including scientific research, healthcare, finance, and more, by enabling more accurate and efficient data analysis and decision-making.

  5. Industry Impact: This development is expected to push the boundaries of what AI can achieve, potentially setting new standards in the AI industry and encouraging further innovation and competition.

Why It Matters

The initiative is inspired by methods like Stanford's 'Self-Taught Reasoner' (STaR) and is part of OpenAI's ongoing efforts to push the boundaries of artificial intelligence. With enhanced reasoning abilities, AI can better understand and solve complex problems, leading to significant advancements in various sectors. This can improve efficiency, accuracy, and outcomes in scientific research, healthcare, and finance.

Additionally, it underscores the rapid pace of AI innovation and the ongoing efforts to push the boundaries of what AI can accomplish, ultimately leading to more sophisticated and valuable AI applications.

🔍 DEEP DIVE

An in-depth breakdown of something interesting

Product Discovery activities that reduce risk

When it comes to leading product discovery, it's not just about following a set process or checklist. It's about truly understanding the needs and desires of your target audience. Product Discovery is elusive and tricky to put down on paper because the activities you do are largely driven by your level of risk.

Understanding your most significant and riskiest assumptions better is a good starting place. You can do this through Assumption Mapping or developing a Riskiest Assumption Test (RAT).

Here is a non-exhaustive list of the different types of discovery activities based on the type of risk:

💰 Viability Risk:

  • Market Analysis

  • Market sizing

  • Segmentation

  • Competitor Analysis

  • Perceptual Mapping / Positioning Research

  • Customer interviews

  • Business modeling

  • Price Testing

  • Forecasting

  • Kano Analysis

  • Analytics

  • etc

❤️ Desirability Risk:

  • Customer interviews

  • Ethnographic Research

  • User testing

  • Focus Groups

  • Surveys

  • Observation / Contextual Inquiry

  • Prototyping

  • 404 / Fake door tests

  • A/B Tests

  • JTBD Analysis

  • Analytics

  • Customer Journey Mapping

  • etc

📦 Feasibility Risk:

  • Prototyping

  • Proof of Concepts (POCs)

  • Spikes

  • MVP

  • Alpha / Beta

  • etc

📱 Usability Risk:

  • User testing

  • Prototyping

  • A/B Tests

  • Alpha / Beta

  • Accessibility Testing

  • Guerilla Testing

  • Observation / Contextual Inquiry

  • Eye Tracking

  • Usability Testing Tools / Platforms

  • etc

🍿 DAMIAN BUILDS IN PUBLIC

My journey, failures, and wins

This past week, I continued my Clay.com learning journey. I’m developing a better understanding of how to plug in backed APIs to lessen the research expense. I’m always getting a knack for the Claygent that allows GPT-powered web scraping. I’m now using Clay as a supercharged backend researcher, and I’m just scratching the surface. Don't hesitate to reach out if you need lead lists or want to research your ICP.

Biggest wins:

  • Investment in Productpickle’s SEO efforts are paying off. In 7 days, the Domain Rating went from 14 to 38 and organic keywords went from 0 to 15! Email me if you want help doing this for your business.

  • Developing a cold email outreach workflow using Clay > APIs > Claygent > Smartlead.ai inbox

🌐 SOCIAL PULSE

Highlights from social media and key topics of the week

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From the author

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