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  • šŸ¤– Fatal Crash With Teslaā€™s Self-Driving Software

šŸ¤– Fatal Crash With Teslaā€™s Self-Driving Software

PLUS: Archetype AIā€™s New ā€œNewtonā€ AI Model Learns Physics, Meta Unveils ā€œMeta Spirit LMā€

Welcome back AI enthusiasts!

In todayā€™s AI Report:

  • šŸ’ØArchetype AIā€™s New ā€œNewtonā€ AI Model Learns Physics

  • šŸ”Fatal Crash With Teslaā€™s Self-Driving Software

  • šŸ‘»Meta Unveils ā€œMeta Spirit LMā€

  • šŸ› Trending Tools

  • šŸ’°Funding Frontlines

  • šŸ’¼Whoā€™s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

ARCHETYPE AI

šŸ’ØArchetype AIā€™s New ā€œNewtonā€ AI Model Learns Physics

Image Source: Archetype AI/ā€œNewton: Zero-Shot Forecasting of a Spring-Mass Systemā€/YouTube/Screenshot

Archetype AI, a Physical AI company helping humanity make sense of the world, unveiled a new AI model called ā€œNewtonā€ that predicts how physical objects move in the physical world.

Key Details:
  • Physical AI focuses on pioneering AI applications to understand and interact with the physical world.

  • The physical world often feels complex and chaotic, yet humans have learned to discover the underlying laws that govern it.

  • For example, Newtonā€™s Laws of Motion explain the relationships between physical objects and the forces acting upon them.

  • So, what if AI could uncover the underlying laws that govern the physical world without human guidance?

  • ā€œNewtonā€ learns complex physics principles from Sensor Data without pre-programmed knowledge.

  • Sensor Data is information collected by a sensor. For example, a microphone collects sound information.

Why Itā€™s Important:
  • ā€œNewtonā€ marks a paradigm shift in AIā€™s interactions with the physical world because it learns from Sensor Data without relying on pre-programmed knowledge.

  • It can forecast citywide power consumption by analyzing building data (e.g., size, shape, and insulation) and tracking Sensor Data (e.g., wind, humidity, and temperature).

šŸšØWatch ā€œNewtonā€ predict the behavior of a Spring-Mass System here.

TESLA

šŸ”Fatal Crash With Teslaā€™s Self-Driving Software

Image Source: Canvaā€™s AI Image Generators/Magic Media

A Tesla relying on Full Self-Driving (FSD) crashed after entering an area of reduced roadway visibility from ā€œconditions such as sun glare or airborne dust.ā€

Key Details:
  • All Teslas with FSD software in America are officially under investigation by the National Highway Traffic Safety Administration (NHTSA) after a fatal crash raised doubts about FSDā€™s handling of ā€œlow-visibility situations.ā€

  • FSD is an advanced driving assistant that helps provide active guidance for the burdensome parts of piloting cars (e.g., braking, steering, or accelerating).

  • Itā€™s powered by large volumes of Neural Networks (NNs) trained on driving datasets. NNs are an AI framework designed to mimic the human brain.

  • Tesla Vision uses a network of cameras, NNs, and Computer Vision to self-park, auto-lane change, and navigate traffic. Computer Vision enables computers to interpret, analyze, and extract visual data. It aims to replace Ultrasonic Sensors, LiDAR, and RADAR.

  • Tesla CEO Elon Musk asserts that humans ā€œdrive with their eyes,ā€ so autonomous vehicles only need vision.

Why Itā€™s Important:
  • Waymo uses Ultrasonic sensors, LiDAR, and RADAR in their self-driving Jaguar I-PACE to operate safely in low-visibility settings.

  • Tesla engineers have tried to convince Musk that LiDAR isnā€™t a ā€œcrutch.ā€ However, he believes any company that relies on LiDAR for autonomous capabilities is ā€œdoomed.ā€

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AI RESEARCH

šŸ‘»Meta Unveils ā€œMeta Spirit LMā€

Image Source: Metaā€™s AI Team/ā€œSPIRIT-LM: Interleaved Spoken and Written Language Modelā€/Screenshot

Meta unveiled ā€œMeta Spirit LM,ā€ an open-source multimodal AI model that seamlessly integrates text and speech inputs and outputs. In other words, it can process both text and speech inputs and generate both text and speech outputs.

A multimodal AI model can process and generate multiple data types, such as text, images, audio, video, and code.

One of the primary challenges in developing Text-to-Speech (TTS) applications is the ā€œrobot-likeā€ voice. Traditionally, building TTS applications involves a multi-step process. First, Automatic Speech Recognition (ASR) convert spoken words into text. Then, an AI model processes this text. Finally, the processed text is converted back into spoken words.

However, this approach often leads to a loss in expressive quality. For example, nuances such as tone, emotion, and pitch are stripped away. ā€œMeta Spirit LMā€ solves this issue by allowing an AI model to cross modalities more seamlessly.

By seamlessly integrating both text and speech inputs and outputs, ā€œMeta Spirit LMā€ can learn to capture and replicate the nuances of spoken words. This breakthrough reduces the ā€œrobot-likeā€ voice often associated with traditional TTS applications.

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

šŸ’°FUNDING FRONTLINES

  • Beacon AI raises a $15M Series A to merge AI into flight decks for safer aircraft landings.

  • Dottxt secures $11.9M in Seed Funding to tell AI models how to answer questions.

  • SynthBee lands $20M in Seed Funding to build a ā€œcomputing intelligenceā€ platform.

šŸ’¼WHOā€™S HIRING?

  • X (New York City, NY): Engineering Intern, Summer 2025

  • VAIL SYS. (Chicago, IL): Data Analyst Intern, Summer 2025

  • Adobe (San Francisco, CA): Machine Learning {ML} Intern, Summer 2025

  • HRL Laboratories (Malibu, CA): Quantum Technology Intern, Summer 2025

  • Hu.ma.ne (San Francisco, CA): Software Engineering Intern, Device Automation, Summer 2025

šŸ¤–PROMPT OF THE DAY

BUSINESS DOCUMENTS

šŸ“‘Business Document Compliance

Draft a [Policy/Document] for [Small Business] in [Location] that complies with [Law/Regulation].

Make sure to clearly define the purpose of the Policy or Document, identify the applicable Laws and Regulations, provide specific Guidelines and Procedures, and include a Review and Update process.

Policy/Document = [Insert Here]

Small Business = [Insert Here]

Location = [Insert Here]

Law/Regulation = [Insert Here]

šŸ“’FINAL NOTE

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