šŸ¤– Samsungā€™s New Galaxy Ring

PLUS: Skild AI Raises $300M to Build ā€œGeneral-Purpose Brain,ā€ Do We Overestimate Reasoning Skills of LLMs?

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸ’Samsungā€™s New Galaxy Ring

  • šŸ§ Skild AI Raises $300M to Build ā€œGeneral-Purpose Brainā€

  • šŸ’­Do We Overestimate Reasoning Skills of LLMs?

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

SAMSUNG

šŸ’Samsungā€™s New Galaxy Ring

Image Source: TECHEBLOG/Samsungā€™s New Galaxy Ring Screenshot

At Galaxy Unpacked 2024, Samsung unveiled the new Galaxy Ring, Galaxy Watch7 and Galaxy Watch Ultra, AI-powered wearables that offer end-to-end wellness experiences.

Key Details:
  • Galaxy AI is a suite of AI tools for Samsung devices that combines on-device AI developed by Samsung with cloud-based AI from industry partners.

  • The Galaxy Z Fold6 and Galaxy Z Flip6 gained new Galaxy AI capabilities, including:

    1. Interpreter and Live Translate for real-time translation.

    2. AI-powered ProVisual Engine for advanced photo capture and editing.

    3. Note Assist, Composer, and Sketch-to-Image for streamlined note-taking.

    4. Portrait Studio for generating AI-powered avatars from your selfies.

    5. Built-in Google Gemini integrations for AI-powered search functions across apps.

  • The New Galaxy Ring, Galaxy Watch7, and Galaxy Watch Ultra feature AI-enabled health monitoring for sleep apnea detection and diabetes tracking.

  • The Energy Score feature shows how your health impacts your daily life by evaluating your sleep, activity levels, and heart rate variability.

Why Itā€™s Important:
  • Samsungā€™s new Galaxy Ring is poised to be a serious new player in the competitive health wearable market.

  • Samsung is slowly implementing AI add-ons into its existing smartphone offerings to improve the Android ecosystem.

šŸšØWatch Marques Brownlee review the new Galaxy Unpacked 2024 gadgets here.

SKILD AI

šŸ§ Skild AI Raises $300M to Build ā€œGeneral-Purpose Brainā€

Image Source: Canva AI Image Generator

Skild AI emerged from stealth with a massive $300M Series A to build a ā€œgeneral-purpose brainā€ for robots.

Key Details:
  • Skild AIā€™s foundational AI model is trained on a massive dataset of real-world robotic scenarios that involve:

    1. Manipulation: How to grasp, move, and interact with objects.

    2. Locomotion: Movement strategies for different robot types (e.g., wheel, legs, etc.).

    3. Navigation/Vision: Surveying the relative locations of objects to perceive surroundings.

  • As opposed to vertically designed robots built for specific applications, Skild AIā€™s foundational AI model serves as a ā€œgeneral-purpose brainā€ to make any robot thrive in multiple environments and handle complex tasks.

  • ā€œWe can expand the capabilities of robots, democratize their cost, and support the severely understaffed labor market,ā€ said Abhinav Gupta, President and Co-Founder of Skild AI.

Why Itā€™s Important:
  • Thereā€™s a massive labor shortage in America today, with more than 1.7 million jobs available than there are unemployed workers.

  • Industries such as healthcare, construction, warehousing, and manufacturing are among the most impacted; experts project there will be 2.1 million unfulfilled manufacturing jobs by 2030.

  • Skild AIā€™s ā€œgeneral-purpose brainā€ makes any robot adapt and perform novel tasks alongside humans.

šŸ©ŗ PULSE CHECK

What industry will benefit the most from Skild AIā€™s ā€œgeneral-purpose brainā€?

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AI RESEARCH

šŸ’­Do We Overestimate Reasoning Skills of LLMs?

MITā€™s Computer Science and Artificial Intelligence Laboratory (CSAIL) conducted a study examining how Large Language Models (LLMs) perform on various unseen tasks.

The study compared ā€œdefault tasksā€ (i.e., the common tasks an LLM is trained on) with ā€œcounterfactual scenariosā€ (i.e., hypothetical situations deviating from default conditions) to reveal if LLMs are memorizing patterns or deploying reasoning skills.

MITā€™s CSAIL used various tailored datasets and benchmarks to assess popular AI models such as OpenAIā€™s GPT-4 and Anthropicā€™s Claude 3. The study uncovered significant ā€œoverfittingā€ on popular LLMs, reinforcing the growing concern of dataset contamination.

ā€œOverfittingā€ refers to LLMs memorizing specific problems from benchmarks instead of learning general problem-solving skills to apply concepts and perform well on unseen data.

ā€œLLMs excel in familiar scenarios, almost like a well-worn path, but struggle when the terrain gets unfamiliar,ā€ said Zhaofeng Wu, an MIT PhD student in Electrical Engineering.

šŸ› TRENDING TOOLS

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šŸ¦¾Enso hires full-time smart AI bots that automate business tasks.

šŸ“¬LeadResearch analyzes a personā€™s email to learn everything you can about them.

āš™ļøTegon is a modern, fast, open-source platform to simplify issue tracking for engineer teams.

šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ’°VENTURE CAPITAL UPDATES

  • Exein raises a $15M Series B to stop robotic arms from going haywire.

  • Defense AI startup Helsing raises a $487M Series C to combat Russian threats.

  • Medal raises $13M in Funding at a $333M valuation to build contextual AI assistants for desktops.

šŸ’¼WHOā€™S HIRING?

  • Tesla (Palo Alto, CA): Reinforcement Learning Engineer, Tesla Bot, Fall 2024

  • GPTZero (New York City, NY): Machine Learning (ML) Intern, Summer 2025

  • Minware (Remote): Junior Back End Engineer, New Grad

  • Shortbread (San Francisco, CA): Founding Engineer

  • Waymo (Los Angeles, CA): Fleet Integration/Operations Intelligence, Program Manager

šŸ¤–PROMPT OF THE DAY

CUSTOMERS

šŸ“ŠCustomer Personalization

Discuss how AI can revolutionize customer personalization strategies for [Business] with [Product/Service] in [Industry].

Consider the benefits of AI-driven insights, such as predictive analytics and real-time recommendations, in creating tailored experiences.

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Product/Service = [Insert Here]

Industry = [Insert Here]

šŸ“’FINAL NOTE

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