Thursday, March 19, 2026
- Executive Order on AIv8The Executive Order on AI most commonly refers to Executive Order 14110, titled "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence," signed by US President Joe Biden on October 30
- AI Safety Summitv6The AI Safety Summit is a recurring series of intergovernmental summits on the risks and governance of advanced artificial intelligence, launched by the United Kingdom at Bletchley Park in November 2023 and…
- Principal Component Analysis (PCA)v8Principal component analysis (PCA) is an unsupervised learning technique for dimensionality reduction that identifies the orthogonal directions of maximum variance in high-dimensional data and projects…
- Humane AI Pinv7The Humane AI Pin was a screenless, wearable AI device developed by Humane Inc., a San Francisco startup founded by former Apple designers Imran Chaudhri and Bethany Bongiorno.
- Rabbit R1v7The Rabbit R1 is a $199 standalone artificial intelligence hardware device that was unveiled by Rabbit Inc. founder Jesse Lyu at CES on January 9, 2024, and pitched as a pocket-sized AI companion that could…
- Claude Artifactsv5Claude Artifacts is an interactive content creation feature in Claude, the AI assistant developed by Anthropic, that opens a dedicated workspace window beside the chat to render and iterate on substantial…
- SGLangv10SGLang (short for Structured Generation Language) is a high-performance, open-source serving framework for large language models and multimodal models, originally developed at UC Berkeley's Sky Computing Lab…
- ONNXv7ONNX (Open Neural Network Exchange) is an open standard file format for representing machine learning models so they can be moved between different frameworks, runtimes, and hardware platforms without being…
- NotebookLMv7NotebookLM is an AI-powered research and note-taking tool developed by Google that grounds its answers in documents the user uploads rather than the open internet.
- DeepSeek-R1v14DeepSeek-R1 is an open-weight reasoning model and large language model family developed by the Chinese artificial intelligence laboratory DeepSeek. The original model was released on January 20, 2025.
- OpenAI o3v11OpenAI o3 is a family of reasoning-focused large language models developed by OpenAI and the second generation of the company's o-series reasoning models, best known for scoring 87.5% on the ARC-AGI…
- Llama 4v12Llama 4 (Large Language Model Meta AI 4) is a family of natively multimodal large language models developed by Meta and released on April 5, 2025, the first generation of the Llama series to use a mixture of…
- OpenAI o1v13OpenAI o1 is a family of proprietary large language models developed by OpenAI and trained to use additional computation before returning an answer.
- Llama 2v9Llama 2 is a family of open-weight large language models developed by Meta AI. Meta released pretrained and dialogue-tuned checkpoints with 7 billion, 13 billion, and 70 billion parameters on July 18, 2023.
- NVIDIA Digitsv6NVIDIA Digits (originally announced as Project DIGITS, later renamed DGX Spark) is a personal AI supercomputer developed by NVIDIA and co-designed with MediaTek.
- Tesla Optimusv12Tesla Optimus, originally announced as Tesla Bot, is a humanoid robot program at Tesla.
- Meta Ray-Ban AI Glassesv8Meta Ray-Ban AI Glasses (marketed as Ray-Ban Meta) are a line of camera-and-audio AI glasses developed by Meta Platforms with EssilorLuxottica, the French-Italian eyewear group that owns Ray-Ban.
- Gemmav11Gemma is a family of open-weight models developed by Google DeepMind. The family began in February 2024 with text-only decoder models derived from research used for Google's Gemini systems, then expanded to…
- GPT-3.5v11GPT-3.5 is a family of large language models developed by OpenAI. OpenAI used the name for the series from which it fine-tuned the model behind the original ChatGPT research preview, launched on November 30
- Chromav10Chroma is an open-source embedding database designed for artificial intelligence applications.
- Weaviatev9Weaviate is an open-source vector database that stores both data objects and their vector embeddings, enabling a combination of vector similarity search with structured filtering, keyword retrieval, and…
- Pineconev8Pinecone is a managed vector database for artificial intelligence applications that lets developers store, index, and query high-dimensional vector embeddings at scale without managing infrastructure.
- OpenClawv7OpenClaw is a free, open-source autonomous AI agent that runs on a user's own machine or server and executes real-world tasks through everyday messaging apps such as WhatsApp, Telegram, Discord, Slack, and…
- Moltbookv5Moltbook is an internet forum and social networking platform built exclusively for artificial intelligence agents.
- Cross-Entropy Lossv6Cross-entropy loss is the standard loss function for classification and language modeling, defined as the negative log-probability a model assigns to the correct answer: for a single example its value is…
- AI deceptionv4AI deception refers to the phenomenon in which artificial intelligence systems systematically produce false beliefs in users, evaluators, or other systems, whether through learned behavior, optimization…
- Dropoutv5Dropout is a regularization technique for neural networks that randomly sets a fraction of neuron activations to zero during training
- Model cardv6A model card is a short, standardized document that accompanies a trained machine learning model and reports its intended use, training data, evaluation results across different population subgroups, ethical…
- Adam optimizerv7The Adam optimizer (short for Adaptive Moment Estimation) is an algorithm for first-order gradient descent-based optimization of stochastic objective functions
- AI-generated contentv6AI-generated content (also called AIGC or synthetic media) is text, images, video, audio, music, or code produced wholly or partly by artificial intelligence systems rather than by a human author.
- Effective accelerationismv4Effective accelerationism (often abbreviated e/acc) is a techno-optimist ideological movement that advocates for the maximum acceleration of technological development, particularly artificial intelligence.
- GPT-5v14GPT-5 is a family of proprietary large language models released by OpenAI on August 7, 2025.
- Prompt Cachingv7Prompt caching is an large language model (LLM) inference optimization that stores the computed key-value (KV) state of a repeated prompt prefix so it can be reused across API calls, cutting both cost and…
- DDPMv10Denoising Diffusion Probabilistic Models (DDPM) are a class of generative model introduced by Jonathan Ho, Ajay Jain, and Pieter Abbeel of UC Berkeley in their June 2020 paper "Denoising Diffusion…
- Mechanistic interpretabilityv6Mechanistic interpretability (often abbreviated as mech interp or MI) is the field that reverse-engineers the internal computations of neural networks, particularly transformers
- Flux (text-to-image model)v6Flux is a family of text-to-image generative models developed by Black Forest Labs (BFL), the German-American startup founded by the original creators of Stable Diffusion.
- Phi (language model)v8Phi is a family of open-weight small language models (SLMs) developed by Microsoft Research, beginning with Phi-1 in June 2023 and spanning thirteen-plus releases through Phi-4-reasoning-vision-15B in March…
- Replicatev7Replicate is a cloud platform for running, deploying, and sharing machine learning models via a simple API.
- Llama 3v17Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
- Together AIv9Together AI is an AI cloud platform for running, fine-tuning, and training open-source foundation models at high performance and low cost.
- Azure OpenAI Servicev9Azure OpenAI Service is Microsoft's enterprise cloud offering that delivers OpenAI's frontier large language models and generative artificial intelligence through the Microsoft Azure platform, pairing models…
- Amazon Bedrockv7Amazon Bedrock is a fully managed service from Amazon Web Services (AWS) that offers a choice of high-performing foundation models from leading AI companies, accessible through a single unified API, so…
- Imagen (text-to-image model)v6Imagen is a family of text-to-image diffusion models developed by Google, first introduced in May 2022 and as of 2026 in its fourth generation (Imagen 4).
- Devin (AI software engineer)v11Devin is an autonomous AI software engineering agent developed by Cognition AI that plans, writes, tests, debugs, and deploys code inside a sandboxed cloud environment, taking a natural-language task and…
- AI regulationv6AI regulation is the body of laws, binding rules, technical standards, and government enforcement mechanisms that oversee how artificial intelligence systems are built, sold, and used.
- Responsible AIv5Responsible AI (RAI) is a framework for developing, deploying, and governing artificial intelligence systems in ways that are ethical, transparent, accountable, and aligned with human values.
- AI biasv5AI bias (also called algorithmic bias) is systematic, repeatable error in artificial intelligence systems that produces unfair, discriminatory, or skewed outcomes, typically disadvantaging groups defined by…
- In-Context Learningv11In-context learning (ICL) is the ability of a large language model to learn a new task at inference time by conditioning on a prompt that contains a few input-output examples (demonstrations)
- Guardrails (AI)v5AI guardrails are runtime safety mechanisms that monitor, validate, and constrain the inputs and outputs of AI systems, particularly large language models (LLMs), to block harmful, inaccurate, or off-policy…
- World modelv10A world model is an artificial intelligence system that learns an internal representation of how an environment works, enabling it to predict future states, simulate the consequences of actions, and support…
- PEFTv6Parameter-efficient fine-tuning (PEFT) is a family of methods that adapt a pre-trained large language model to a downstream task by updating only a small fraction of its parameters
- KV Cachev13KV cache, short for key-value cache, is transient model state used during Transformer generation.
- Humanoid Robotv11A humanoid robot is a robot whose body plan or functional arrangement is modeled on important features of the human body.
- AI roboticsv5AI robotics is the integration of artificial intelligence techniques with physical robotic systems, enabling machines to perceive their environments, make decisions, and carry out actions in the real world.
- Symbolic AIv5Symbolic AI is the approach to artificial intelligence that models intelligence as the rule-governed manipulation of human-readable symbols, formal logic, and explicit knowledge representations rather than…
- Gaussian Splattingv7Gaussian splatting is a method for real-time radiance field rendering that represents a 3D scene as a collection of millions of anisotropic 3D Gaussian primitives, each defined by a position, covariance…
- Expert systemv4An expert system is a computer program that emulates the decision-making ability of a human expert in a narrow domain by reasoning over an explicit base of IF-THEN rules and facts rather than learning from…
- ELIZAv6ELIZA is the first widely known chatbot, a natural language processing program written by Joseph Weizenbaum at the Massachusetts Institute of Technology (MIT) between 1964 and 1967 and described in a January…
- AI in Cybersecurityv7AI in cybersecurity is the use of artificial intelligence and machine learning to both defend computer systems and conduct cyberattacks, spanning threat detection, security operations center (SOC) automation…
- Latent diffusion modelv8A latent diffusion model (LDM) is a type of diffusion model that runs the denoising diffusion process in a compressed latent space learned by a pretrained autoencoder, rather than directly in pixel space…
- Deep Bluev4Deep Blue was a chess-playing supercomputer built by IBM that, on May 11, 1997, became the first machine to defeat a reigning world chess champion in a full match under standard tournament time controls
- AI in Educationv5AI in education refers to the use of artificial intelligence technologies to support teaching, learning, assessment, and administrative processes across educational settings.
- Attention Is All You Needv10"Attention Is All You Need" is the 2017 research paper that introduced the transformer, the neural network architecture that underpins virtually every modern large language model.
- CLIP (Contrastive Language-Image Pre-training)v9CLIP, short for Contrastive Language-Image Pre-training, is a family of neural networks developed by OpenAI researchers to learn a shared representation of images and natural-language descriptions.
- Dartmouth Conferencev6The Dartmouth Conference, formally the Dartmouth Summer Research Project on Artificial Intelligence, was a roughly six to eight week workshop held in the summer of 1956 at Dartmouth College in Hanover, New…
- U-Netv5U-Net is a convolutional neural network architecture designed for biomedical image segmentation.
- AlexNetv5AlexNet is a deep learning convolutional neural network, built by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton at the University of Toronto, that won the ImageNet Large Scale Visual Recognition…
- ResNetv9ResNet, short for residual network, is a family of deep convolutional neural networks introduced by Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun at CVPR 2016.
- Edge AIv5Edge AI is the practice of running artificial intelligence models directly on the device that generates the data, such as a smartphone, laptop, camera, vehicle, or IoT sensor
- Small language modelv7A small language model (SLM) is a compact large language model, typically under about 10 billion parameters, built to run efficiently on a single consumer GPU, a laptop, or a smartphone rather than in a data…
- DeepSpeedv11DeepSpeed is an open-source deep learning optimization library, originally developed by Microsoft, that makes distributed training and inference of large models efficient, easy to use, and cost-effective.
- JAXv6JAX is an open-source Python library for accelerator-oriented array computation and program transformation.
- PyTorchv11PyTorch is an open-source software library for tensor computation and machine learning.
- Dario Amodeiv9Dario Amodei (born 1983) is an Italian-American artificial intelligence researcher, entrepreneur, and the co-founder and CEO of Anthropic
- Andrew Ngv11Andrew Ng is a British-American computer scientist and entrepreneur who is one of the most influential figures in modern artificial intelligence, best known for co-founding Google Brain and Coursera, serving…
- Fei-Fei Liv6Fei-Fei Li (born 1976) is a Chinese-American computer scientist, the inaugural Sequoia Capital Professor of Computer Science at Stanford University, and co-director of the Stanford Institute for Human-Centered…
- Yann LeCunv7Yann Andre LeCun (born July 8, 1960) is a French-American computer scientist, a pioneer of convolutional neural networks (CNNs) and deep learning, and a 2018 ACM A.M. Turing Award laureate often called one of…
- Geoffrey Hintonv10Geoffrey Hinton (born December 6, 1947) is a British-Canadian computer scientist whose research has focused on neural networks, representation learning, and computational accounts of learning in the brain.
- Andrej Karpathyv8Andrej Karpathy (born October 23, 1986) is a Slovak-Canadian computer scientist, AI researcher, educator, and entrepreneur who was a founding member of OpenAI, served as Tesla's Senior Director of AI and head…
- Ilya Sutskeverv13Ilya Sutskever (born 1986) is a Russian-born computer scientist who was raised in Israel and moved to Canada as a teenager.
- Demis Hassabisv9Sir Demis Hassabis (born July 27, 1976) is a British artificial intelligence researcher, neuroscientist, video game designer, and entrepreneur who is the co-founder and Chair of Google DeepMind, the Chief…
- Sam Altmanv14Samuel Harris Altman (born April 22, 1985) is an American entrepreneur, investor, and technology executive.
- Yoshua Bengiov11Yoshua Bengio (born March 5, 1964) is a Canadian computer scientist whose research has focused on deep learning, representation learning, neural language models, and generative models.
- Weights & Biasesv6Weights & Biases (commonly abbreviated as W&B or wandb) is a machine learning experiment tracking and model management platform that acts as a system of record for AI model training and fine-tuning.
- Scikit-learnv11Scikit-learn is a free and open-source machine learning library for Python. It provides a common interface for fitting, transforming, predicting, evaluating, and selecting models, with implementations covering…
- vLLMv15vLLM is an open-source inference and serving engine for large language models. It is software for running already trained models, either through a Python interface for offline work or through a network server…
- Inference optimizationv8Inference optimization is the set of techniques that make running a trained artificial intelligence model, especially a large language model, faster, more memory-efficient, and cheaper to serve in production.
- Grouped-Query Attentionv10Grouped-query attention (GQA) is an attention mechanism for transformer language models that partitions the query heads into a small number of groups, where every query head in a group shares one key…
- Rotary Position Embeddingv11Rotary Position Embedding (RoPE) is a positional encoding method for transformer models that encodes a token's absolute position by rotating its query and key vectors in two-dimensional subspaces
- Positional encodingv12Positional encoding is a technique used to inject information about token order into transformer models.
- Text-to-Speechv5Text-to-speech (TTS) refers to artificial intelligence systems that convert written text into natural-sounding spoken audio.
- AI Music Generationv5AI music generation is the use of artificial intelligence systems to compose, produce, or assist in creating music, including generating complete songs with vocals and instrumentation from a short text prompt.
- Autonomous vehiclev8An autonomous vehicle, also known as a self-driving car, driverless car, or robotic vehicle, is a vehicle that uses artificial intelligence, sensors, and software to navigate and operate without human input.
- AI in financev6AI in finance is the use of artificial intelligence and machine learning across financial services to automate decisions and analyze data at scale.
- ARC-AGIv10ARC-AGI (Abstraction and Reasoning Corpus for Artificial General Intelligence) is a family of AI benchmarks, created by Francois Chollet, that measures fluid intelligence: the ability to solve genuinely novel…
- Chatbot Arenav8Chatbot Arena (now branded simply as Arena, and previously known as LMArena) is a crowdsourced evaluation platform for large language models that ranks AI systems based on human preferences through anonymous…
- Data poisoningv5Data poisoning is a class of adversarial attack in which a malicious actor deliberately corrupts the training data used to build machine learning models
- Model collapsev5Model collapse is a degenerative process in which generative AI models trained recursively on data produced by previous-generation models progressively lose information, especially the rare events in the tails…
- Replitv9Replit is an online integrated development environment (IDE) and AI-powered coding platform that lets users write, run, and deploy software directly from a web browser, including by describing an application…
- Mixed-Precision Trainingv5Mixed-precision training is a technique for training deep learning models using lower-precision floating-point formats for most computations while maintaining a higher-precision copy of the model weights for…
