Worth Looking Up
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MIT engineers have developed a printable aluminum alloy that can withstand high temperatures and is five times stronger than traditionally manufactured aluminum. The new printable metal is made from a mix of aluminum and other elements that the team identified using a combination of simulations and machine learning, which significantly pruned the number of possible combinations of materials to search through. While traditional methods would require simulating over 1 million possible combinations of materials, the team’s new machine […]
How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a retrieval augmented generation framework that compresses documents into continuous memory tokens and then performs both retrieval and generation in that shared latent space. […]
Key Highlights: Meta is among the few tech giants that advocate open-source AI (like its Llama models) for innovation, security through community testing, cost-effectiveness for businesses, and preventing gatekeeping. But it seems Meta has realized the future with open-source AI isn’t worth it, as that goodwill won’t pay the bills for its $600 billion investment pledge in the US infrastructure. Meta is reportedly working on a “closed” model, codenamed “Avocado” Well, this comes after disappointment around Meta’s recent […]
Introduction Language models have existed for decades — long before today’s so-called “LLMs.” In the 1990s, IBM’s alignment models and smoothed n-gram systems trained on hundreds of millions of words set performance records. By the 2000s, the internet’s growth enabled “web as corpus” datasets, pushing statistical models to dominate natural language processing (NLP). Yet, many believe language modelling began in 2017 with Google’s Transformer architecture and BERT. In reality, Transformers revolutionized scalability but were just one step in a much […]
Joe Navarro is a former FBI agent and one of the world’s leading experts in body language and nonverbal communication. In this Moment, Joe reveals the hidden signals behind body language and how to use nonverbal cues, such as posture and eye contact, to your advantage in business, relationships, and beyond. Listen to the full episode with Joe Navarro on The Diary of a CEO below: Spotify: https://g2ul0.app.link/01Qhc2kbPYb Apple: https://g2ul0.app.link/NwkCj5obPYb Watch the Episodes On YouTube:https://www.youtube.com/c/%20TheDiaryOfACEO/videos Joe Navarro: https://www.jnforensics.com/
You don’t need Python or R to start working with data. This guide walks you through using built-in Unix utilities for real statistical analysis.
What if you could build a secure, scalable RAG+LLM system – no GPU, no latency, no hallucinations? In this session, Vincent Granville shares how to engineer high-performance, agentic multi-LLMs from scratch using Python. Learn how to rethink everything from token chunking to sub-LLM selection to create AI systems that are explainable, efficient, and designed for enterprise-scale applications. What you’ll learn: How to build LLM systems without deep neural nets or GPUs Real-time fine-tuning, self-tuning, and context-aware retrieval Best […]
Spoor’s computer vision software can help wind farms, and other industries, track bird populations and migration patterns.
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator.