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Radar Trends to Watch: February 2025

O'Reilly Media - Ideas

AI systems may think using a variant of Occams razor , which prioritizes simpler solutions to problems. The system comes with 128GB of RAM. Stratoshark is a new tool for analyzing system calls on Linux. If you generate more code, there will be more code to debug and review. Ghostty is getting rave reviews.

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Enterprise IT moves forward — cautiously — with generative AI

CIO

Normally Cenkl reviews résumés and searches by skills tags to find the right people for a project. And over at used car retailer CarMax, they’ve been using generative AI for over a year, leveraging OpenAI’s APIs to consolidate customer review text to summaries that are more manageable and readable. That’s incredibly powerful.”

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Technology News and Hot Topics

CTOvision

Urban planners are pulling data from inexpensive sensors mounted on traffic lights and park benches, and from mobile apps on citizens’ smartphones, to analyze … Read more on MIT Technology Review. It is also being rolled out by one … Read more on MIT Technology Review. Read more on Tribune-Review.

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Radar Trends to Watch: July 2023

O'Reilly Media - Ideas

MIT Technology Review provides a good summary of key points in the EU’s draft proposal for regulating AI. Infinigen is a photorealistic natural-world 3D scene generator. It is designed to generate synthetic training data for AI systems. Mechanical Turk is often used to generate or label training data for AI systems.

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Radar trends to watch: May 2022

O'Reilly Media - Ideas

Google has released a dataset of 3D-scanned household items. It’s part of the TinyML movement: machine learning for small embedded systems. OpenAI’s DALL-E 2 is a new take on their system (DALL-E) for generating images from natural language descriptions. It’s adaptable to other critical infrastructure systems.

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Radar Trends to Watch: July 2024

O'Reilly Media - Ideas

This paper notes that it is preliminary and not yet peer-reviewed. An AI system has been trained to count flowers. Facebook/Meta has developed AudioSeal , a system for watermarking AI-generated audio content. Its goal is to enable developers to build large concurrent systems. Everything runs locally. That’s creative.

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Radar Trends to Watch: September 2024

O'Reilly Media - Ideas

AI Anthropic has published the system prompts for its Claude models. Their definition requires that training data be recognized as part of an open source system. The AI Scientist , an AI system designed to do autonomous scientific research, unexpectedly modified its own code to give it more time to run. It failed (mostly).

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