βš‘πŸ”‹ The Haunting Reality of AI Impersonation

And more : An anti-theft upgrade is coming to Android phones; Here are some interesting use cases of AI in Supply Chain Management

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πŸš€ Here are the latest AI news in a nutshell. Step right up for today's tech sideshow!

  • A 2006 murder victim was resurrected as an AI character. Families objecting to digital necromancy? Who would've thought?

  • Android phones are getting an anti-theft upgrade. Thieves, prepare to be mildly inconvenienced by yet another digital lock.

  • Dynatrace unveiled new AI solutions for businesses. Apparently, regular old solutions are so last fiscal quarter.

  • KoBold Metals raised $491M to use AI for finding critical minerals. It's like a high-tech treasure hunt, minus the eye patches and parrots.

  • VESSL AI secured $12M to slash GPU costs. They're determined to make AI computing cheaper than your daily coffee habit.

  • Super Micro shares are riding the AI wave with 100,000 GPU shipments. It's raining graphics cards, hallelujah!

A girl murdered in 2006 was revived as AI character, and the family raises an objection

A recent incident involving Character.ai, a platform for creating AI personas, has sparked outrage and raised serious ethical concerns about the misuse of artificial intelligence. The platform hosted a chatbot that mimicked Jennifer Ann Crecente, a young woman who was murdered by her ex-boyfriend 18 years ago, causing immense distress to her family.

Key points of the incident:

  1. Drew Crecente, Jennifer's father, discovered the chatbot through a Google Alert.

  2. The AI used Jennifer's name, and yearbook photo, and falsely described her as a journalism expert.

  3. The chatbot had been used in at least 69 different conversations before discovery.

  4. Character.ai removed the bot after the family's complaint, citing violation of their policies against impersonating real people.

Drew Crecente, who runs a nonprofit to raise awareness about teenage dating violence in memory of his daughter, was shocked and traumatized by the discovery. He immediately reached out to Character.ai, demanding the removal of the chatbot and assurances that no future bots could be created using his daughter's identity.

Brian Crecente, Jennifer's uncle and a well-known video game journalist, took to social media to express his anger. He described the situation as "disgusting" and called for public support to stop such practices.

This incident highlights several critical issues:

  1. Ethical use of AI: The case raises questions about the responsibility of AI platforms in preventing the misuse of real people's identities, especially in sensitive contexts.

  2. Consent and privacy: The creation of AI personas based on real individuals without their or their family's consent is a significant privacy concern.

  3. Emotional impact: The reappearance of a deceased loved one in AI form can reopen emotional wounds for grieving families.

  4. Platform policies: While Character.ai has policies against impersonating real people, the incident shows the challenges in enforcing such rules effectively.

  5. Data retention: Drew Crecente has requested that the company retain all data about the bot's creator, raising questions about accountability in AI misuse cases.

As AI technology continues to advance, this incident serves as a stark reminder of the need for stronger ethical guidelines, improved oversight, and more robust safeguards to prevent the exploitation of personal identities in AI applications. It also underscores the importance of considering the human impact of AI developments, particularly in cases involving sensitive or traumatic events.

An anti-theft upgrade is coming to Android phones

Google is rolling out a new AI-powered anti-theft feature called Theft Detection Lock for Android phones. Key points:

  1. The feature uses AI to detect motion associated with theft, such as snatching and running away.

  2. When suspicious motion is detected, the phone immediately locks its screen.

  3. The tool uses the phone's gyroscope and accelerometer to monitor for theft-like movements.

  4. This is part of a suite of security additions Google announced earlier this year.

  5. Other features include making factory resets more difficult, private spaces for sensitive apps and improved lost phone tracking.

  6. The features are being rolled out through Google Play services updates, with some requiring Android 15.

  7. Users can check if they have the new features by searching for "anti-theft" in their phone's settings menu.

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Dynatrace unveils new AI-driven solutions for businesses

Dynatrace has introduced a new suite of AI-driven solutions to enhance user experience, log management, and cloud-native capabilities for businesses. Key points:

  1. The solutions aim to help organizations gain deeper insights into their data and IT environments as data complexity increases.

  2. Dynatrace integrates causal, predictive, and generative AI techniques to analyze billions of data points effectively.

  3. The platform offers an improved user experience with streamlined navigation and consistent interfaces across teams.

  4. Next-level log management and analytics are provided without compromising security and privacy.

  5. Cloud-native teams benefit from deeper insights into cloud workloads across multiple providers.

  6. Dynatrace has partnered with DXC Technology to support customers in scaling their digital transformation efforts.

  7. The company's CTO emphasizes the need for convergence of observability and security in today's complex digital landscape.

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AI is not just a technological advancement, it's a new lens through which we can examine and understand the world. It has the potential to reveal patterns and connections in complex systems that were previously invisible to us, from ecosystems to economies.

Yoshua Bengio

Yoshua Bengio OC FRS FRSC is a Canadian computer scientist who is most noted for his work on artificial neural networks and deep learning. He is a professor at the Department of Computer Science and Operations Research at the UniversitΓ© de MontrΓ©al and scientific director of the Montreal Institute for Learning Algorithms.

AI in Supply Chain Management

Overview

Artificial Intelligence (AI) has been used in supply chain management for decades, with recent advancements expanding its applications. This summary outlines key AI technologies and their current and potential future uses in supply chain operations.

Key AI Technologies and Applications:

  1. Optimization:

    • Used in: Supply planning, factory scheduling, supply chain design, transportation planning

    • Purpose: Create cost-effective plans while meeting service levels and other goals

  2. Machine Learning (ML):

    • Applications:

      • Demand forecasting (product, store-level, incorporating external data)

      • Predictive maintenance for trucks and factory machinery

      • Inventory optimization

      • Labor forecasting in warehouses

      • Master data management

      • Supply planning parameter updates

      • Predicting out-of-stock situations

      • Supply chain risk assessment

  3. Natural Language Processing (NLP):

    • Used for:

      • Commodity classification for imports/exports

      • Real-time supply chain risk solutions (analyzing online publications for disruptions)

  4. Reinforcement Learning:

    • Applications:

      • Training vision systems (e.g., for drones in warehouse inventory management)

      • Ensuring worker compliance with standard operating procedures

  5. Simultaneous Localization and Mapping (SLAM):

    • Enables autonomous movement of vehicles in unknown environments

    • Used in: Warehouse robots, potential for last-mile deliveries and autonomous trucks

Future Prospects:

  • Autonomous trucks for logistics (estimated to be feasible within a couple of years)

  • Expanded use of drones and autonomous mobile robots for last-mile deliveries

Impact:

  • Improved accuracy in forecasting, inventory management, and risk assessment

  • Enhanced efficiency in warehouse operations and transportation planning

  • Better decision-making through real-time data analysis and predictive capabilities

AI continues to evolve and find new applications in supply chain management, promising to revolutionize logistics and operational efficiency across industries.

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I hope you find these resources helpful. Let me know if you have any questions, if there's anything else I can do to assist you, or what you would like to learn more about in AI.

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