Welcome, AI enthusiasts.
OpenAI’s ‘Strawberry’, a brand new AI model that “thinks” before responding, is reportedly set to launch in ChatGPT in only two weeks.
With guarantees of solving complex problems beyond any current LLM and recent details from early testers, is it value all of the hype? Let’s get into it…
In today’s AI rundown:
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OpenAI’s Strawberry set for early release
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Engineer creates AI-designed walking table
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Create photo-illustration blends with AI
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Waymo’s driverless cars outperform humans
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4 recent AI tools & 4 recent AI jobs
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More AI & tech news
Read time: 3 minutes
LATEST DEVELOPMENTS
OPENAI

Image source: Midjourney / The Rundown
The Rundown: In accordance with a recent report by The Information, OpenAI is planning to release Strawberry, its reasoning-focused AI model, as a part of ChatGPT inside the subsequent two weeks — sooner than the originally expected fall timeline.
The main points:
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In accordance with early testers, Strawberry “thinks” for 10-20 seconds before responding, unlike typical AI models that answer immediately.
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The initial version will only handle text input and output, not images, making it non-multimodal unlike other recent AI models.
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Strawberry is predicted to enhance complex query handling without requiring users to make use of specialized prompt techniques like “chain-of-thought-prompting“.
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Early testers also said that Strawberry’s responses, while barely higher than GPT-4o, will not be well worth the extra 10-20 second wait time.
Why it matters: If it lives as much as reports, Strawberry will likely excel not only on objective tasks (math, coding) but additionally subjective ones (like product marketing) and open up an entire recent world of practical AI use cases. But with early testers reporting that the model is simply “barely higher“, is it really value all of the hype? We’ll discover soon.
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CARPENTOPOD
🪑 Engineer creates AI-designed walking table

Image source: Giliam de Carpentier
The Rundown: Dutch engineer Giliam de Carpentier has created the ‘Carpentopod’, a wireless walking wood coffee table, using an AI-optimized leg mechanism designed through evolutionary algorithms.
The main points:
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The leg mechanism was developed using software that simulated hundreds of generations of designs, optimizing for walking speed, clearance, and efficiency.
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The table features 12 legs (six on each end) constructed from precision-cut laminated bamboo, controlled by two motors.
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Carpentier developed a custom motor control software and uses a repurposed Nunchuck controller for distant operation.
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Watch a live demo of the walking coffee table in motion here.
Why it matters: This project shows how makers are combining AI, traditional craftsmanship, and modern fabrication techniques to create unique projects that blur the lines between art, engineering, and furniture design. AI for design optimization, even for seemingly easy mechanical systems — is just getting began.
AI TRAINING
🎨 Create photo-illustration blends with AI

The Rundown: Using this unique prompt, AI image generators like Freepik and Midjourney can create images that mix each photography and illustration together.
Step-by-step:
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Select an AI image generator (e.g., Freepik or Midjourney).
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Use this prompt template: “Mixing of editorial photography and illustration, model, illustration fashion outfit, surreal environment of vibrant daring illustrations mixing with the topic, flowers, smoke, flames and sparkles, half photography and half illustration”.
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Generate your image and take a look at the outcomes.
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Upscale using 2K resolution, add “mixture of photography and illustration” to the upscaler prompt, and apply “subtle” and “digital art” parameters.
Note: If you happen to’re a member of our AI University, you get a free Premium membership to Freepik, which may be accessed within the “Perks“ space.
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The Rundown: Innovating with AI’s recent program, AI Consultancy Project, trains AI enthusiasts with the abilities and methods to capitalize on the rapidly growing AI consulting market – which is ready to 8x by 2032.
This system offers:
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The tools and frameworks to seek out clients and deliver top-notch services
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A 6-month plan to construct a 6-figure AI consulting business
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Students getting their first AI client in as little as 3 days
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WAYMO
🚗 Waymo’s driverless cars outperform humans

Image source: Waymo
The Rundown: A brand new deep dive into Waymo’s recent crash data suggests that driverless cars are significantly safer than human-driven vehicles, with fewer injury-causing crashes and airbag deployments per mile driven.
The main points:
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Waymo vehicles have traveled over 22 million miles, with only 20 injury-causing crashes reported.
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This rate is lower than one-third of what is expected for human drivers in similar conditions.
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Out of 23 severe crashes, 16 involved human drivers rear-ending Waymo vehicles.
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Waymo estimates its vehicles are one-sixth as likely as human drivers to experience crashes triggering airbag deployment.
Why it matters: As Waymo rapidly scales up its robotaxi service — now providing 100,000 rides per week — these safety statistics are crucial. The information suggests that we now have secure self-driving cars, and that these AI-driven cars could significantly reduce road accidents and injuries.
NEW TOOLS & JOBS
Trending AI Tools
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🤖 Replit Agent – Turn natural language into code and deploy it with AI agents
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🛠️ Langflow – Create AI apps easily with drag-and-drop components
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🔄 Retain AI – A Shopify app that sends AI-generated winback emails to drive customer retention
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⛈️ Rainbow Weather – AI weather app with precise rain forecasts
Recent AI Job Opportunities
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🏷️ Cohere – Data Annotator – Safety tasks
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📢 OctoAI – Staff Product Marketing Manager
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💻 Captions – Software Engineer, Web
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🛠️ Databricks – Solutions Engineer
QUICK HITS
SambaNova launched SambaNova Cloud, claiming it is the world’s fastest AI inference platform, running Llama 3.1 70B at 461 tokens per second and 405B at 132 tokens per second at full precision.
Salesforce introduced Industries AI, embedding over 100 industry-specific AI capabilities across 15 industry clouds to deal with unique challenges.
Glean raised over $260 million in recent funding at a whopping $4.6 billion valuation, co-led by Altimeter and DST Global, to expand its Work AI platform.
Anthropic unveiled Workspaces in its API Console, allowing developers to administer multiple Claude deployments with granular controls for spend limits, rate limits, and access management.
UBS developed an AI tool able to analyzing 300,000 firms in 20 seconds to generate M&A ideas and discover potential buyers.
The Australian government proposed recent legal requirements for AI in high-risk settings and introduced a Voluntary AI Safety Standard for businesses.
THAT’S A WRAP
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