AIR#231 - AI's Power Consumption Slashed by 95%! πŸ”‹

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Here's the latest AI news for today. Enjoy!

Today's top stories

πŸ”₯ AI engineers claim new algorithm reduces AI power consumption by 95%
BitEnergy AI's new L-Mul algorithm cuts AI power consumption by 95% by replacing floating-point multiplication with integer addition.

πŸ”₯ How to leverage Claude's capabilities with interactive visualization
Claude's financial data analyst combines AI with interactive visualizations for comprehensive financial analysis and insights.

Penguin Random House underscores copyright protection in AI rebuff
Penguin Random House updates copyright to protect authors' works from AI training, emphasizing strong IP defense and responsible innovation.

Neurotech moonshot for making the general-purpose brain-machine interface happen
Aiming for a general-purpose brain-machine interface, e184 emphasizes foundational tech over niche applications in neurotechnology.

OpenAI not expecting to break into profitability until 2029
OpenAI forecasts profitability by 2029, with losses peaking at $14 billion in 2026 and $5 billion expected this year.

Man Arrested for Using AI Songs and a Bot Army to Scam Spotify for Millions
A man was arrested for using AI-generated songs and bots to scam Spotify out of over $10 million in royalties.

ChatGPT's Name Bias and Apple's Findings on AI's Lack of Reasoning
Apple's study reveals AI's reasoning flaws, while OpenAI highlights ChatGPT's bias based on user names, raising fairness concerns.

Predicting Weight Loss with Machine Learning
A DNN model predicts weight loss progress on a ketogenic diet, analyzing calorie needs and tracking results over time.

Microsoft creates fake Azure tenants to pull phishers into honeypots
Microsoft uses fake Azure tenants as honeypots to lure phishers, gathering intelligence to disrupt cybercriminal activities.

AI Detectors Falsely Accuse Students of Cheating–With Big Consequences
AI detectors are falsely accusing students of cheating, leading to severe academic consequences and raising concerns about their reliability.

A Selective Survey of Efficient Speculative Decoding Techniques for LLM Inferen
The article surveys efficient speculative decoding techniques for LLM inference, highlighting advancements like the Medusa architecture.

The World Will Eat $2T in AI Servers, AI Will Eat the World Right Back
The world is set to invest $2 trillion in AI servers by 2028, driving significant economic changes and potential job impacts.

It's Time for a Modern Synthesis Kernel (2019)
Reviving dynamic OS specialization could enhance performance through runtime code generation, leveraging modern compiler technologies.

Meta releases AI model that can check other AI models' work
Meta unveils an AI model designed to evaluate the performance of other AI models.

Reverse Engineering Is Not Hard with LLM Powered Tools
LLM-powered tools like Sidekick, ReverserAI, and LLM4Decompile simplify reverse engineering, making it accessible for all users.

LLM inference library written in Rust with mistral.rs
mistral.rs, a Rust LLM inference library, enables running Llama 3.2 and Phi-3.5 Vision models on Mac, showcasing image analysis.

Show HN: Open-Source Zero-Shot Image Model Server Enabling Model Feedback
DirectAI launches an open-source zero-shot image model server, enhancing model feedback for better classification without extensive data.

Reverse Engineering Semiconductors with LLMs?
Gemini explores using LLMs for reverse engineering semiconductors.

X to allow third parties to train their AI models with social media users' data
X updates its policy to allow third parties to train AI on user data, raising privacy concerns and potential opt-out options.

Beijing plans to expand autonomous driving test area
Beijing plans to expand its autonomous driving test area to 3,000 sq km, enhancing tech development and commercial use.

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