A Starbucks run by 100 AI-powered Robots

Welcome, AI enthusiasts.

The robot takeover has begun — and at Naver’s in-office Starbucks, the revolution is occurring one cup of coffee at a time.

The corporate’s robot fleet navigates 36 floors to deliver orders, while providing a glimpse at the longer term of the service industry in the method. Let’s explore…

In today’s AI rundown:

• Robots serve up coffee at Starbucks

• Amazon’s AI ‘private investigator’

• Underlord: your powerful but subordinate AI video intern

• Microsoft’s AI weather forecasting model

• 5 latest AI tools & 4 latest AI jobs

• More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

NAVER

☕️ Robots serve up coffee at Starbucks

The Rundown: South Korean search giant Naver shared a video of the corporate’s in-office autonomous Starbucks location — with 100 robots delivering coffee and other items throughout the constructing.

The main points:

• Naver’s autonomous wheeled “Rookie” robots navigate the constructing’s 36 floors to bring packages, coffee, and lunch to employees.

• Rookie bots are assisted by dual-armed “Ambidex” robots, that are lightweight and dexterous for safer human interactions.

• Each robots connect with the corporate’s ARC system, which enables control of navigation, planning, and processing for the whole fleet through cloud computing.

• Naver also developed RoboPort, a dedicated elevator system that permits robots to maneuver quickly and efficiently between floors.

Why it matters: Naver’s putting its robots to work within the ‘real world’ — and while the placement is only a testing ground for now, it’s also a glimpse into how service robotics shall be integrated into the mainstream before many expect.

TOGETHER WITH OCTOAI

🎯 Master the art of choosing the correct LLM

The Rundown: Choosing the correct LLM is crucial in your app’s success. Join OctoAI’s experts for a live discussion on tips on how to avoid “model fatigue” and pick the proper open-source model in your project.

You’ll learn tips on how to:

• Narrow down the vast universe of models to a shortlist tailored to your needs

• Resolve between checkpoints, LoRAs, and Community tunes in your specific use case

• Evaluate model success across prompts, data, training, and tuning

Enroll for the discussion now — everyone who registers receives the recording and deck, even in case you can’t attend live!

AMAZON

📦 Amazon’s AI ‘private investigator’

The Rundown: Amazon just unveiled Project P.I., an AI system that scans products in the corporate’s success centers to detect damaged or incorrect items before they ship to cut back returns and waste.

The main points:

• Project P.I. uses AI and computer vision to identify defects like damaged products in addition to incorrect colours/sizes as items go through imaging tunnels.

• The system is already in place across the corporate’s North American success centers, with plans to expand globally all year long.

• Amazon also utilizes a multimodal LLM to analyze issues further, combining customer feedback with Project P.I. images to discover the source problem.

Why it matters: Amazon’s no stranger to adopting AI across its operations, and Project P.I. is yet one more revolutionary approach to supercharge efficiency. Soon, the corporate will likely mix these talents with advanced warehouse robots — taking humans out of the success process altogether.

AI TRAINING

🎥 Underlord: your powerful but subordinate AI video intern

The Rundown: Descript, an AI-powered video-audio editor, just launched Underlord, with AI editing tools built into every step of your workflow.

Step-by-step:

1. Enroll for Descript. Download it or use it on the internet totally free.

2. Upload a file or record a video.

3. Ask Underlord to remove filler words or retakes, create clips, or do any editing tasks you hate most.

4. Explore all the opposite features that Underlord has to supply with its easy-to-use interface!

Get more AI tutorials →

PRESENTED BY TABNINE

👋 Meet your latest AI senior engineer

The Rundown: Tabnine’s AI code assistant adapts to your team’s unique coding style and requirements, offering three levels of progressive personalization for a seamless, custom-fit experience.

With Tabnine, you’ll be able to:

• Get accurate, relevant results with context awareness contained in the IDE

• Hook up with your codebase, requirements, and docs to boost performance

• High-quality-tune Tabnine’s AI models for ultimate customization

Start today with an AI code assistant that looks like a totally onboarded member of your engineering team.

AI RESEARCH

⛈️ Microsoft’s AI weather forecasting model

The Rundown: Microsoft researchers just introduced Aurora, a brand new AI foundation model trained on over 1M hours of weather and climate data that may generate accurate weather forecasting insights.

The main points:

• Aurora produces accurate forecasts across quite a lot of weather scenarios, including extreme events or areas with limited data.

• The 1.3B parameter model can generate a 5-day global air pollution prediction in under 60 seconds.

• Aurora also produces 10-day global forecasts at high resolutions, beating each the highest models and specialized AI weather systems.

Why it matters: Aurora’s success could usher in an enormous shift in the way in which we do weather forecasting. With the recent progress of AI models, combined with massive amounts of atmospheric data — the day that the weatherman is actually right 100% of the time could be coming before most individuals probably think.

NEW TOOLS & JOBS

Trending AI Tools

• 🎬 ToonCrafter – Create animations from still-frame images

• 🔊 ElevenLabs Text to Sound Effects – Generate any sound from a prompt

• 👟 Doly – Capture products together with your phone and create 3D videos immediately

• 🗣️ Speller AI – Copilot to boost your speaking skills

• 🏦 Keeper – AI-powered tax filing for effortless returns

Browse more AI tools →

Latest AI Job Opportunities

• 🎨 Adept AI – Product Designer

• ⚙️ Luma AI – Senior Distributed Systems Engineer

• 🚗 Scale AI – Account Executive, Automotive

• 🧑‍💻 Lambda – Technical Program Manager

Browse more AI jobs →

QUICK HITS

Intel introduced a series of recent AI advancements at Computex, including latest Xeon 6 processors, Gaudi accelerators, and a brand new Lunar Lake architecture to speed up computing performance.

Stability AI announced the open release of Stable Diffusion 3-Medium is about for June 12, with the 2B parameter model coming in at a fraction of the total SD3 that remains to be awaiting model weight release.

AMD unveiled its next-gen MI325x AI chips at Computex, announcing an identical one-year release cadence that may feature the MI350 in 2025 and MI400 series in 2026.

Microsoft announced a $3.2B investment into Sweden’s AI and cloud infrastructure, aiming to coach 250,000 staff by 2027 and boost capability at data centers.

Google published a blog addressing the corporate’s recent AI Overview issues, highlighting latest detection mechanisms and ongoing accuracy efforts.

Adobe is facing backlash after the estate of late artist Ansel Adams called out the corporate for including AI-generated images on the market in Adobe Stock labeled with “Ansel Adams-style”, which violates the platform’s ToS.

Zoom founder Eric Yuan said in an interview with The Verge that ‘digital twin’ AI avatars will eventually attend Zoom meetings and make decisions on user’s behalf.

THAT’S A WRAP

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