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AI NEWS DIGEST

AI News Today, the Daily Artificial Intelligence Update

One edition, every day. We distill the most important artificial intelligence news from 30+ sources into a single digest, scored by our proprietary AI News Index.

Daily Edition · July 16, 2026

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100/100
AI News Index Major AI news day

Today in AI

Today in AI, the top stories include: Applied Computing wants to give oil and gas operators an AI model for the entire plant; NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI; Microsoft is reportedly training salespeople to talk down OpenAI and Anthropic; The US is advancing AI safety through state and federal action; xAI sues a man for using Grok to generate CSAM ‘deepfakes’.

Today's mix

models 4
funding 3
policy 3
research 62
tools 3
hardware 1
other 4
How the AI News Index is calculated

The AI News Index (0 to 100) measures how eventful the AI day was. It combines total story volume, the significance of each story (recency and how many independent sources covered it), and is scaled against a 30-day rolling baseline so a busy day reads high and a slow day reads low.

Past editions

Every day is scored by the AI News Index. Select a day to open that edition.

In this edition

  1. TTechCrunch AI Jul 16

    Applied Computing wants to give oil and gas operators an AI model for the entire plant

    Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.

    funding Read →
  2. NNVIDIA Blog Jul 15

    NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI

    General-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running…

    hardware Read →
  3. TTechCrunch AI Jul 15

    Microsoft is reportedly training salespeople to talk down OpenAI and Anthropic

    Microsoft is looking to sell its in-house AI models as more efficient and cost-effective than its competitors' models.

    other Read →
  4. OOpenAI Jul 15

    The US is advancing AI safety through state and federal action

    OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.

    other Read →
  5. TThe Verge AI Jul 15

    xAI sues a man for using Grok to generate CSAM ‘deepfakes’

    The Elon Musk-owned xAI is suing a South Carolina man who allegedly used the company's Grok AI chatbot to generate child sexual abuse material (CSAM). In a lawsuit reported earlier by Reuters, xAI…

    policy Read →
  6. OOpenAI Jul 15

    GPT-Red: Unlocking Self-Improvement for Robustness

    Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.

    models Read →
  7. aarXiv cs.AI Jul 16

    OvisOCR2 Technical Report

    arXiv:2607.13639v1 Announce Type: cross Abstract: We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document page image, it generates a…

    research 2 sources Read →
  8. MMarkTechPost Jul 16

    Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks

    We explore the Patter SDK by building a voice-agent workflow for a restaurant booking use case. We define dynamic caller variables, register callable tools for availability, bookings, hours, and…

    tools Read →
  9. TThe Verge AI Jul 15

    AI slop movies are the new direct-to-video cash grabs

    This weekend, cinephiles across the world will march to their local theaters to feast their eyes on Christopher Nolan's new adaptation of The Odyssey. It's on track to rake in anywhere between…

    other Read →
  10. MMarkTechPost Jul 16

    SpaceXAI Open-Sources Grok Build: The Rust Agent Harness, TUI, and Tool Layer Behind Its Coding CLI

    SpaceXAI published the Grok Build source on July 15, 2026. The Apache 2.0 Rust tree covers the agent loop, tool dispatch, the TUI, and the extension system. Grok 4.5 stays closed, and external…

    tools Read →
  11. TTechCrunch AI Jul 15

    Amid hardware legal battle, OpenAI releases a $230 keyboard for Codex

    OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.

    tools Read →
  12. VVentureBeat AI Jul 15

    Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem, and most are calling chatbots agents

    Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms, Anthropic’s Claude leads by a wide margin, chosen for the gravity of the underlying model and judged on…

    models Read →
  13. TTechCrunch AI Jul 15

    SpaceX falls to $135 IPO price ahead of Starship launch

    The stock has steadily fallen from the euphoric post-IPO high, showing that markets may be sobering up to the promises CEO Elon Musk made before and after SpaceX went public.

    funding Read →
  14. TTechCrunch AI Jul 15

    Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling

    It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public view.

    models Read →
  15. TThe Verge AI Jul 15

    Suno snatched millions of songs from YouTube, Genius, and Deezer

    Suno data obtained in a hacking incident has exposed that the AI music generator was trained by scraping millions of songs and lyrics from online audio platforms, including YouTube Music, Deezer,…

    other Read →
  16. MMIT Technology Review Jul 15

    Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer

    OpenAI has built an LLM super-hacker called GPT-Red that it uses as a sparring partner to help its other models boost their defenses against cyberattacks. Last week the company released the latest…

    models Read →
  17. aarXiv cs.AI Jul 16

    OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets

    arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require a forget set, yet no tool can locate…

    research Read →
  18. aarXiv cs.AI Jul 16

    SPINE: Bridging the Cyber-Physical Gap with Agentic AI

    arXiv:2607.13049v1 Announce Type: new Abstract: Foundation models have given robots a sophisticated brain for complex decision-making, yet deploying that intelligence into a physical platform still…

    research Read →
  19. aarXiv cs.AI Jul 16

    Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitution

    arXiv:2607.13069v1 Announce Type: new Abstract: Large language models produce chain-of-thought (CoT) reasoning that appears logically sound yet may not genuinely depend on its stated premises. We…

    research Read →
  20. aarXiv cs.AI Jul 16

    Probabilistic Extension of Neuro-Symbolic AGI Robots based on Belnap's Typed Intensional FOL

    arXiv:2607.13073v1 Announce Type: new Abstract: Neuro-symbolic AI based on $IFOL_B$ is a way to combine neural learning and symbolic reasoning to overcome limitations of purely neural systems (like…

    research Read →
  21. aarXiv cs.AI Jul 16

    Self-Improvements in Modern Agentic Systems: A Survey

    arXiv:2607.13104v1 Announce Type: new Abstract: Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary goal is controllable evolution, or adaptation,…

    research Read →
  22. aarXiv cs.AI Jul 16

    Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

    arXiv:2607.13115v1 Announce Type: new Abstract: Small language models (SLMs) have shown promise for zero-shot molecular property prediction from SMILES strings, yet they often suffer from structural…

    research Read →
  23. aarXiv cs.AI Jul 16

    Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents

    arXiv:2607.13157v1 Announce Type: new Abstract: Agent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations,…

    research Read →
  24. aarXiv cs.AI Jul 16

    Learning Safe Agent Behaviour from Human Preferences and Justifications via World Models

    arXiv:2607.13172v1 Announce Type: new Abstract: We address the problem of safely training an agent policy and deploying a good and safe policy, in settings where the environment dynamics are unknown…

    policy Read →
  25. aarXiv cs.AI Jul 16

    CayleyR: Solving the TopSpin puzzle via cycle intersection

    arXiv:2607.13219v1 Announce Type: new Abstract: We present cayleyR, an R package for solving permutation puzzles by detecting cycle intersections in Cayley graphs. The core algorithm performs an…

    research Read →
  26. aarXiv cs.AI Jul 16

    Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science

    arXiv:2607.13220v1 Announce Type: new Abstract: Most AI-for-science systems focus on scaling a single reasoning process through better models, larger context windows, long-horizon agentic execution,…

    research Read →
  27. aarXiv cs.AI Jul 16

    AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

    arXiv:2607.13230v1 Announce Type: new Abstract: Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and…

    research Read →
  28. aarXiv cs.AI Jul 16

    Cost-Optimal Foundation Model Deployment Portfolio for Transportation Management

    arXiv:2607.13239v1 Announce Type: new Abstract: Foundation models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used for transportation management…

    research Read →
  29. aarXiv cs.AI Jul 16

    Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable

    arXiv:2607.13285v1 Announce Type: new Abstract: The capability of a modern AI agent depends not only on its foundation model but also on its harness, which constructs prompts, manages state, invokes…

    research Read →
  30. aarXiv cs.AI Jul 16

    Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases

    arXiv:2607.13292v1 Announce Type: new Abstract: Autoformalization translates informal natural language into formal, machine-verifiable languages. While most work focuses on individual statements,…

    research Read →
  31. aarXiv cs.AI Jul 16

    EZSMT Version 3, Matured

    arXiv:2607.13344v1 Announce Type: new Abstract: Constraint Answer Set Programming (CASP) is a hybrid reasoning paradigm that combines Answer Set Programming (ASP) with Constraint Processing and…

    research Read →
  32. aarXiv cs.AI Jul 16

    Set-shifting Behavioral Test for Harnessed Agents

    arXiv:2607.13396v1 Announce Type: new Abstract: What happens to an LLM agent's tool choice when the reliable tool silently changes within an ongoing session? We borrow set-shifting from cognitive…

    research Read →
  33. aarXiv cs.AI Jul 16

    LAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning

    arXiv:2607.13501v1 Announce Type: new Abstract: Reinforcement learning for multi-turn search reasoning typically relies on terminal outcome rewards, which cannot distinguish useful, redundant, and…

    research Read →
  34. aarXiv cs.AI Jul 16

    How Far Can Root Cause Analysis Go on Real-World Telemetry Data?

    arXiv:2607.13548v1 Announce Type: new Abstract: Identifying root causes in production microservice failures requires reasoning over large-scale, multimodal telemetry spanning metrics, logs, and…

    research Read →
  35. aarXiv cs.AI Jul 16

    Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling

    arXiv:2607.13558v1 Announce Type: new Abstract: Urban region profiling constitutes a core problem in urban computing, supporting applications such as population estimation, economic assessment, and…

    research Read →
  36. aarXiv cs.AI Jul 16

    AI advice suppresses people's willingness to say "I don't know", even when the advice is wrong and accuracy is incentivized

    arXiv:2607.13562v1 Announce Type: new Abstract: Knowing when to say "I don't know" is fundamental to human judgment, yet AI assistants offer a fluent answer to almost any question. In five…

    research Read →
  37. aarXiv cs.AI Jul 16

    SAFETY SENTRY: Context-Aware Human Intervention via EXECUTE-ASK-REFUSE Routing

    arXiv:2607.13594v1 Announce Type: new Abstract: LLM agents act on real-world environments through tool calls, and a single misjudged action can cause irreversible harm. The standard safeguard is a…

    research Read →
  38. aarXiv cs.AI Jul 16

    Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System

    arXiv:2607.13608v1 Announce Type: new Abstract: Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving…

    research Read →
  39. aarXiv cs.AI Jul 16

    STOCKTAKE: Measuring the Gap Between Perception and Action in LLM Agents with a Fair Oracle

    arXiv:2607.13618v1 Announce Type: new Abstract: LLM agents are increasingly evaluated on multi-week decision tasks in which the state that drives cost is never directly observed. On such tasks the…

    research Read →
  40. aarXiv cs.AI Jul 16

    UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following

    arXiv:2607.13621v1 Announce Type: new Abstract: Language-guided human following is an important capability for embodied agents, but existing benchmarks typically assume that the target person is…

    research Read →
  41. aarXiv cs.AI Jul 16

    Explaining Reinforcement Learning Agents via Inductive Logic Programming

    arXiv:2607.13655v1 Announce Type: new Abstract: Explainable Reinforcement Learning (XRL) seeks to make Reinforcement Learning (RL) policies more transparent and interpretable, a key requirement in…

    research Read →
  42. aarXiv cs.AI Jul 16

    When Bots Join the Team: Bot Adoption and the Institutional Fabric of Open-Source Software Projects

    arXiv:2607.13679v1 Announce Type: new Abstract: AI agents are joining human teams, raising a basic question: when an automated agent becomes a regular participant, does group organization strengthen…

    research Read →
  43. aarXiv cs.AI Jul 16

    AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

    arXiv:2607.13705v1 Announce Type: new Abstract: As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes critical. However, current…

    research Read →
  44. aarXiv cs.AI Jul 16

    CAVA: Canonical Action Verification and Attestation for Runtime Governance of Agentic AI Systems

    arXiv:2607.13716v1 Announce Type: new Abstract: Agentic AI systems increasingly act through heterogeneous runtimes: local coding hooks, SDK tools, browser automation, managed-agent traces, API…

    research Read →
  45. aarXiv cs.AI Jul 16

    Experience Memory Graph: One-Shot Error Correction for Agents

    arXiv:2607.13884v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown remarkable capabilities in autonomous decision-making by generating sequential trajectories of states,…

    research Read →
  46. aarXiv cs.AI Jul 16

    AIMO Interpretability Challenge

    arXiv:2607.13899v1 Announce Type: new Abstract: We propose the AIMO Interpretability Challenge, a competition on distinguishing robust from spurious reasoning in frontier mathematical language…

    research Read →
  47. aarXiv cs.AI Jul 16

    A Self-Evolving Agent for Longitudinal Personal Health Management

    arXiv:2607.13940v1 Announce Type: new Abstract: Personal health management unfolds over repeated encounters, yet most health AI systems treat each request in isolation. We developed HealthClaw, an…

    research Read →
  48. aarXiv cs.AI Jul 16

    Do Agent Optimizers Compound? A Continual-Learning Evaluation on Terminal-Bench 2.0

    arXiv:2607.14004v1 Announce Type: new Abstract: Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and the resulting improvement is…

    research Read →
  49. aarXiv cs.AI Jul 16

    AI-accelerated End-to-End Framework for Rapid Professional Upskilling

    arXiv:2607.14044v1 Announce Type: new Abstract: By 2030, 59 of every 100 workers will need reskilling or upskilling, yet the average time to close an enterprise skills gap grew from roughly 3 days…

    research Read →
  50. aarXiv cs.AI Jul 16

    Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education

    arXiv:2607.14046v1 Announce Type: new Abstract: This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating…

    research Read →
  51. aarXiv cs.AI Jul 16

    Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models

    arXiv:2607.14049v1 Announce Type: new Abstract: The emergence of Chain-of-Thought (CoT) reasoning has significantly enhanced the ability of large language models (LLMs) to tackle complex, multi-step…

    research Read →
  52. aarXiv cs.AI Jul 16

    FixItFlow: Automated Troubleshooting Guide Generation from Cloud Incidents

    arXiv:2607.13035v1 Announce Type: cross Abstract: Cloud services experience frequent incidents that require rapid diagnosis and resolution. Troubleshooting guides help engineers respond…

    research Read →
  53. aarXiv cs.AI Jul 16

    Ask Before You Diagnose: Safe-Psych, a Sequential Evaluation Benchmark for LLMs in Psychiatry

    arXiv:2607.13036v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for decision support in healthcare, but clinical evidence is often incomplete or evolving. When…

    research Read →
  54. aarXiv cs.AI Jul 16

    Designing Safety-Constrained LLM Systems for Public Health Information Access

    arXiv:2607.13038v1 Announce Type: cross Abstract: We present the design and implementation of a safety constrained large language model (LLM) system for public health information access, focusing on…

    research Read →
  55. aarXiv cs.AI Jul 16

    Safeguard-Conditioned Uplift: Measuring Utility-Risk Frontiers for Dual-Use Biology Assistants

    arXiv:2607.13039v1 Announce Type: cross Abstract: Safety evaluations for dual-use biology assistants often measure base-model capability, refusal behavior, or jailbreak success. These metrics miss a…

    research Read →
  56. aarXiv cs.AI Jul 16

    Final Authority in AI Governance: Frontier-Provider Sovereignty and Action-Centered Deployer Governance

    arXiv:2607.13040v1 Announce Type: cross Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows. It compares two governance…

    research Read →
  57. aarXiv cs.AI Jul 16

    LessonBench-V1: A Benchmark Dataset for Evaluating AI Lesson Generation Agents

    arXiv:2607.13041v1 Announce Type: cross Abstract: Large Language Model (LLM) based AI educational content generation systems are increasingly being developed, yet no standardised benchmark exists to…

    research Read →
  58. aarXiv cs.AI Jul 16

    Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning

    arXiv:2607.13043v1 Announce Type: cross Abstract: Deep learning models achieve state-of-the-art image classification but face deployment challenges due to computational costs and energy demands. We…

    research Read →
  59. aarXiv cs.AI Jul 16

    The Perplexity Trap: When Patent Law Makes Human Writing Look Like AI

    arXiv:2607.13044v1 Announce Type: cross Abstract: The European Patent Office (EPO) reported record filings in 2025, and the 2026 EPO Guidelines hold applicants strictly responsible for LLM-assisted…

    policy Read →
  60. aarXiv cs.AI Jul 16

    Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    arXiv:2607.13045v1 Announce Type: cross Abstract: Federated Learning (FL) has emerged as a key paradigm for privacy-preserving collaborative model training across distributed and heterogeneous data…

    research Read →
  61. aarXiv cs.AI Jul 16

    Uncertainty-Aware Sequential Decision Rules for Event-Triggered LLM Invocation in Streaming Systems

    arXiv:2607.13048v1 Announce Type: cross Abstract: Streaming inference pipelines increasingly pair lightweight fast models with Large Language Models (LLMs) that provide rich semantic understanding…

    research Read →
  62. aarXiv cs.AI Jul 16

    Autonomous UAV Route Planning for Coverage Maximization in Environmental Monitoring: A Systematic Literature Review

    arXiv:2607.13054v1 Announce Type: cross Abstract: Environmental monitoring with unmanned aerial vehicles (UAVs) requires route planning methods that maximize covered area while handling energy…

    research Read →
  63. aarXiv cs.AI Jul 16

    Compaction as Epistemic Failure: How Agentic LLM Tools Fabricate Confirmed Results from Killed Processes

    arXiv:2607.13071v1 Announce Type: cross Abstract: Agentic LLM coding tools compress long session histories into compaction summaries that subsequent sessions inherit as ground truth. This paper…

    research Read →
  64. aarXiv cs.AI Jul 16

    HRO: Hierarchical Room-to-Object Framework for Zero-Shot Object Goal Navigation with Large Language Models

    arXiv:2607.13072v1 Announce Type: cross Abstract: Zero-shot object-goal navigation aims to enable an intelligent agent to explore and navigate to objects of unknown categories in an unfamiliar…

    research Read →
  65. aarXiv cs.AI Jul 16

    When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data

    arXiv:2607.13074v1 Announce Type: cross Abstract: This work studies the inverse problem of recovering the relative magnitudes of the tension, bending, and bearing loads acting on a crack from its…

    research Read →
  66. aarXiv cs.AI Jul 16

    The Entanglement Wall: Activation-Space Probes as Risk Detectors, Not Context Adjudicators

    arXiv:2607.13075v1 Announce Type: cross Abstract: Context can change whether a request is harmful without changing its topic or surface form. We ask whether residual-stream probes distinguish…

    research Read →
  67. aarXiv cs.AI Jul 16

    The Hitchhiker's Guide to Monoculture

    arXiv:2607.13077v1 Announce Type: cross Abstract: Large language models (LLMs) often produce homogeneous outputs, raising concerns that AI coding assistants may lead to convergence in the software…

    research Read →
  68. aarXiv cs.AI Jul 16

    Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows

    arXiv:2607.13078v1 Announce Type: cross Abstract: LLMs are now proposed for fraud detection, scam investigation, content moderation, and other trust-and-safety workflows. Much of the public…

    research Read →
  69. aarXiv cs.AI Jul 16

    Inference Economics of Enterprise Coding Agents: A Case Study of Cloud vs. On-Premise LLMs

    arXiv:2607.13080v1 Announce Type: cross Abstract: Autonomous coding agents force engineering organizations to choose between API-based frontier models -- strong reasoning at high token cost -- and…

    research Read →
  70. aarXiv cs.AI Jul 16

    SingGuard-NSFA: Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification

    arXiv:2607.13081v1 Announce Type: cross Abstract: We present nsfaguard, a guardrail framework for securing agentic AI systems against operational threats, such as prompt injection, sensitive…

    research Read →
  71. aarXiv cs.AI Jul 16

    Baselines Before Architecture: Evaluating Coding Agents for Autonomous Penetration Testing

    arXiv:2607.13085v1 Announce Type: cross Abstract: Recent autonomous penetration testing papers report high benchmark scores while adding multi-component security harnesses around frontier LLMs.…

    research Read →
  72. aarXiv cs.AI Jul 16

    Self-Improving AI Coding Agents Through Accumulated Behavioral Rules: A Closed-Loop Framework

    arXiv:2607.13091v1 Announce Type: cross Abstract: LLM-based coding agents repeat the same classes of mistakes across sessions because they lack a mechanism to retain corrections from human review…

    research Read →
  73. aarXiv cs.AI Jul 16

    Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models

    arXiv:2607.13093v1 Announce Type: cross Abstract: On-device LLM inference faces a trilemma of response latency, limited hardware resources and user privacy. Full cloud inference delivers strong…

    research Read →
  74. aarXiv cs.AI Jul 16

    Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates

    arXiv:2607.13094v1 Announce Type: cross Abstract: The rise of Artificial Intelligence (AI) enables automatic analysis of large amounts of data. Previously time-consuming and labor-intensive tasks…

    research Read →
  75. aarXiv cs.AI Jul 16

    Full-Pipeline Inference Optimization for MiMo-V2.5 Series: Pushing Hybrid SWA Efficiency to the Limit

    arXiv:2607.13095v1 Announce Type: cross Abstract: We present a full-pipeline inference optimization for the MiMo-V2.5 model family, which combines Hybrid Sliding Window Attention (Hybrid SWA),…

    research Read →
  76. aarXiv cs.AI Jul 16

    WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency

    arXiv:2607.13099v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable success but raise growing concerns about content provenance and misuse, motivating the need…

    funding Read →
  77. aarXiv cs.AI Jul 16

    TSSM: Triaxial State Space Model for Global Station Weather Forecasting with Temporal-Variable-Historical Modeling

    arXiv:2607.13101v1 Announce Type: cross Abstract: Global Station Weather Forecasting (GSWF) is pivotal for localized and extreme weather prediction over key regions. Despite efforts to exploit…

    research Read →
  78. aarXiv cs.AI Jul 16

    Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing

    arXiv:2607.13103v1 Announce Type: cross Abstract: Knowledge tracing (KT) aims to predict students' future performance by modeling their evolving knowledge states from historical interactions.…

    research Read →
  79. aarXiv cs.AI Jul 16

    STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting

    arXiv:2607.13108v1 Announce Type: cross Abstract: Real-world traffic data exhibit heterogeneous spatial correlations and nonlinear temporal dynamics, posing substantial challenges for accurate…

    research Read →
  80. aarXiv cs.AI Jul 16

    A Hybrid Mamba for Audio-Visual Navigation

    arXiv:2607.13110v1 Announce Type: cross Abstract: Since the paradigm centered on convolutional neural networks and recurrent architectures was established in 2020, the fundamental backbone networks…

    research Read →
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AI Milestones

A timeline of the breakthroughs that shaped modern artificial intelligence, from the Turing Test to today's frontier models.

2026
Jun 2026

Anthropic releases Claude Fable 5

Claude Fable 5, the first publicly available Mythos class model, tops the Artificial Analysis Intelligence Index.

Anthropic →
May 2026

Anthropic ships Claude Opus 4.8

Opus 4.8 replaces Opus 4.7 at the same price with faster, stronger reasoning and terminal coding.

Anthropic →
Apr 2026

OpenAI releases GPT-5.5

GPT-5.5 pushes OpenAI's frontier further on reasoning, coding, and agentic tasks.

OpenAI →
2025
Dec 2025

OpenAI ships GPT-5.2

OpenAI launches GPT-5.2 in a rapid response to Google's Gemini 3.

OpenAI →
Nov 2025

Google launches Gemini 3

Gemini 3 retakes the top of several benchmarks and intensifies the frontier race.

Google DeepMind →
Aug 2025

OpenAI releases GPT-5

GPT-5 unifies fast responses and deep reasoning in one model, OpenAI's biggest leap since GPT-4.

OpenAI →
Jan 2025

DeepSeek releases R1

DeepSeek's open reasoning model draws global attention for matching frontier quality at low cost.

DeepSeek →
2024
Dec 2024

Google launches Gemini 2.0

Gemini 2.0 focuses on agentic, multimodal capabilities for the assistant era.

Google DeepMind →
Oct 2024

Nobel Prizes recognize AI

The Physics prize honors Hopfield and Hinton, and the Chemistry prize honors AlphaFold's creators.

Nobel Prize →
Sep 2024

OpenAI releases o1 reasoning models

The o1 series is trained to reason step by step, a shift toward inference time compute.

OpenAI →
Aug 2024

EU AI Act enters into force

The European Union AI Act takes effect, the first broad legal framework for artificial intelligence.

European Commission →
Jul 2024

Meta releases Llama 3.1 405B

Meta ships one of the largest openly available models, narrowing the gap to closed frontier models.

Meta AI →
Jun 2024

Claude 3.5 Sonnet released

Anthropic's Claude 3.5 Sonnet raises coding and reasoning quality while lowering cost.

Anthropic →
May 2024

OpenAI announces GPT-4o

GPT-4o unifies real time voice, vision, and text in a single faster model.

OpenAI →
Mar 2024

NVIDIA unveils Blackwell

NVIDIA announces the Blackwell GPU platform at GTC, its next generation AI accelerator.

NVIDIA →
Mar 2024

Anthropic ships the Claude 3 family

Claude 3 Haiku, Sonnet, and Opus compete at the frontier across reasoning and vision.

Anthropic →
Feb 2024

OpenAI previews Sora

Sora generates minute long, coherent video from text, raising the bar for generative video.

OpenAI →
2023
Dec 2023

Google announces Gemini

Google unveils Gemini, a natively multimodal model family spanning Nano, Pro, and Ultra.

Google →
Nov 2023

OpenAI DevDay, GPTs and the API era

OpenAI launches custom GPTs, GPT-4 Turbo, and the Assistants API at its first developer conference.

OpenAI →
Jul 2023

Llama 2 released for commercial use

Meta releases Llama 2 with open weights and a commercial license, accelerating open model adoption.

Meta AI →
Mar 2023

Google opens Bard

Google releases Bard to the public, its conversational answer to ChatGPT.

Google →
Mar 2023

GPT-4 released

OpenAI ships GPT-4, a large multimodal model with a major leap in reasoning and reliability.

OpenAI →
Mar 2023

Anthropic launches Claude

Anthropic introduces Claude, its helpful and harmless AI assistant, as a frontier competitor.

Anthropic →
Feb 2023

Meta releases LLaMA

Meta publishes LLaMA for researchers, seeding a wave of open weight language models.

Meta AI →
Feb 2023

Microsoft launches Bing Chat

Microsoft brings an OpenAI powered assistant to Bing, igniting the search AI race.

Wikipedia →
2022
Nov 2022

ChatGPT launches

OpenAI releases ChatGPT, reaching 100 million users in two months and kicking off the mainstream AI era.

OpenAI →
Aug 2022

Stable Diffusion goes open source

Stability AI releases Stable Diffusion with open weights, accelerating the open model movement.

Wikipedia →
Jul 2022

Midjourney opens to the public

Midjourney's Discord based image generator brings AI art to a mass audience.

Wikipedia →
Apr 2022

DALL-E 2 raises the bar

OpenAI's DALL-E 2 produces markedly higher quality and more controllable image generation.

Wikipedia →
2021
Jun 2021

GitHub Copilot preview

Copilot, built on OpenAI Codex, brings AI pair programming to millions of developers.

Wikipedia →
Jan 2021

OpenAI reveals DALL-E

DALL-E generates images from text prompts, opening the modern era of generative image models.

Wikipedia →
2020
Nov 2020

AlphaFold cracks protein folding

DeepMind's AlphaFold 2 achieves near experimental accuracy at CASP14, a milestone for AI in science.

Wikipedia →
May 2020

GPT-3 and few-shot learning

OpenAI's 175 billion parameter GPT-3 demonstrates strong few-shot ability and drives the language model boom.

Wikipedia →
2019
Feb 2019

OpenAI unveils GPT-2

GPT-2 generates fluent long form text, and its staged release sparks debate on AI safety.

Wikipedia →
2018
Oct 2018

Google introduces BERT

BERT brings bidirectional pretraining to language understanding and reshapes NLP benchmarks.

Wikipedia →
Jun 2018

OpenAI releases GPT-1

The first Generative Pre-trained Transformer shows that pretraining plus fine-tuning scales language tasks.

Wikipedia →
2017
Jun 2017

The Transformer architecture

The paper 'Attention Is All You Need' introduces the Transformer, the foundation of modern language models.

Wikipedia →
2016
Mar 2016

AlphaGo defeats Lee Sedol

DeepMind's AlphaGo beats the Go world champion 4 to 1, a landmark for reinforcement learning.

Wikipedia →
2014
Jun 2014

Generative Adversarial Networks introduced

Ian Goodfellow and colleagues introduce GANs, a breakthrough in generative modeling.

Wikipedia →
2012
Sep 2012

AlexNet ignites the deep learning era

AlexNet wins the ImageNet challenge by a wide margin, proving deep convolutional networks on GPUs.

Wikipedia →
2011
Feb 2011

IBM Watson wins Jeopardy!

Watson defeats champions Ken Jennings and Brad Rutter, showcasing natural language question answering.

Wikipedia →
1997
May 1997

Deep Blue beats Garry Kasparov

IBM's Deep Blue defeats the reigning world chess champion, the first computer to beat a champion in match play.

Wikipedia →
1966
Jan 1966

ELIZA, the first chatbot

Joseph Weizenbaum's ELIZA at MIT simulates conversation, becoming the first widely known chatbot.

Wikipedia →
1956
Aug 1956

The term 'artificial intelligence' is coined

The Dartmouth Summer Research Project, organized by John McCarthy, founds AI as a field of study.

Wikipedia →
1950
Oct 1950

Turing proposes the Imitation Game

Alan Turing's paper 'Computing Machinery and Intelligence' introduces the test now known as the Turing Test.

Wikipedia →

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