AI

OpenAI recently launched a new preview called GPT-5.3 Codex-Spark. This model is designed for 1 thing: high speed. While the standard GPT-5.3 Codex focuses on deep thinking, Spark is designed for close response times. It is the result of deep software-software integration between OpenAI and Cerebras. The results are game changing. The Spark 15x faster … Read more

Google announced a major update to the Gemini 3 Think Deeply today. This update is specifically designed to accelerate modern science, research, and engineering. This appears to be more than just another model release. It represents a pivot towards a ‘thinking mode’ that uses internal validation to solve problems that previously required expert intervention. The … Read more

The Swarm Architecture brings together specialized AI agents that collaborate to solve complex data problems. Inspired by cloud computing, it pairs a Data Analysis agent for processing with a Visualization agent for charting, integrated to deliver clearer and more efficient insights. This collaborative design reflects teamwork, where each agent focuses on its strengths to improve … Read more

AI researcher Andrej Karpathy has developed an educational tool microGPT which provides easy access to GPT technology based on his research findings. This project uses 243 lines of Python code that does not require any external dependencies to show users the basic mathematical principles that govern the performance of the Large Language Model because it … Read more

HiCut AI Video Generator is one of the latest AI video editing apps available on the Appstore. It works great for quick social posts, short creative clips, or anything creative you want to create on your phone. And while it’s useful for beginners, it offers advanced capabilities that can make your videos look professional. ⚡️ … Read more

In this tutorial, we fine-tune the embedding model of Sentence-Transformers using Matryoshka Representation Learning so that the initial vector measurements carry the most useful semantic signal. We train with MatryoshkaLoss on triplet data and verify the important promise of MRL by measuring the retrieval quality after truncating the embedding to 64, 128, and 256 dimensions. … Read more

In this tutorial, we build an advanced, end-to-end learning pipeline Atomic-Agents by combining typed agent interfaces, structured information, and a unified retrieval layer that supports results in original project documents. Also, we show how to organize the retrieval, retrieve the corresponding context, dynamically inject it into the responding agent, and use an interactive loop that … Read more

You sign up (a free tier is available), create a companion by customizing features and appearance, and jump into the conversation. The Ourdream AI dialog flows based on your selections and memory history. When you sign up, you open media-generating photos and short videos of your friend based on the context of the conversation or … Read more

Sixteen independent AI agents. Two weeks of continuous killing. About 100,000 lines of Rust code. That’s what it took for Anthropic to build a C compiler capable of compiling large real-world projects like the Linux kernel. There is a kicker here though. The project, internally referred to as Claude’s “agent teams”, was not written by … Read more

Running Large Language Models (LLMs) at scale is a major engineering challenge due to the management of the Key-Value (KV) repository. As models grow in size and processing power, KV’s cache footprint grows and becomes a major bottleneck in throughput and performance. In modern Transformers, this cache can take many gigabytes. NVIDIA researchers presented KVTC … Read more