A Marc Benioff-backed startup thinks AI can solve the AI deployment problem
June emerged from stealth today with a $20 million pre-seed round to make AI adoption simpler.
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Today
Today
After killer quarter, Palantir CEO Alex Karp calls AI industry ‘Marxist’
After a quarter that delivered $1 billion in profit, Palantir CEO Alex Karp on Monday once again warned that AI frontier labs are too untrustworthy for enterprises.
Apple finally fixed Siri. So why does it feel anticlimactic?
Apple’s long-awaited AI overhaul finally makes Siri the assistant it was always supposed to be. Yet it arrives at a moment when simply being a capable AI assistant no longer feels revolutionary.
China’s Alibaba takes another swipe at America’s AI supremacy
Chinese tech giant Alibaba released what it says is its largest and "most capable AI model to date," claiming performance rivaling the best systems from US frontier labs Anthropic and OpenAI, as well as domestic rivals like Moonshot AI's K...
Europe’s AI labeling and transparency rules are now in effect
The European Union has ushered in some additional rules that aim to make it easier for people to identify chatbots and AI deepfakes online. The new transparency obligations under the bloc's landmark AI Act came into effect on August 2nd, r...
Influencers draw backlash for attending OpenAI’s first luxury trip
OpenAI’s first-ever influencer brand trip is sparking online backlash as tensions over the use of AI continue.
Fender’s CEO seems to think your bandmates are just analog AI
Fender CEO Edward "Bud" Cole gave an interview to T3 in May celebrating the 75th anniversary of the Telecaster with comments on AI and music that initially flew under the radar. But it has started making the rounds recently, pouring more f...
Sam Altman and AI’s decel debate
On the latest episode of Equity, we discuss why Sam Altman is calling on the industry to "pace the rate of AI development."
Is this Billboard Hot 100 hit AI slop?
Fenix Flexin is best known as a member of Shoreline Mafia, a rap duo from Los Angeles. But he's recently found solo success with the track "Rubberz," which has climbed to number 58 on the Billboard Hot 100. Almost immediately, though, ques...
YouTuber Hank Green says his AI usage is ‘not healthy’
Green offered a remarkable apology, saying that "the level of dopamine that I've been getting from interacting with LLMs ... is not healthy for me or good for the world."
Here’s the problem with putting an AI image generator in Google Earth
A text prompt was all it took to generate reality-warping images using Google Earth's satellite, aerial, and 3D imagery with a now-rolled back AI feature, like these images generated by Digital Digging's Henk van Ess that show "refugees ne...
New releases
New releases
Circles powers telco personalization with OpenAI technology
Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.
How we built a realtime system for responsive voice AI in six months
GPT-Live enables continuous voice interaction with AI, using a turnless speech model and low-latency architecture for faster, more natural conversations.
Ten advances in mathematics and theoretical computer science
OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.
Advancing responsible AI across Europe
OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances.
Building abundant intelligence
A full-stack approach to making advanced AI more capable, more affordable, and more widely useful.
Disrupting a Criminal Scam Operation
OpenAI disrupted a Cambodia-based scam operation using ChatGPT to support investment, romance, gambling, and impersonation schemes.
Research
Research
Characterizing Bias in Post-Bandit Inference under Index Algorithms
Bandit algorithms generate data for downstream inference, but adaptive sampling biases post-bandit sample means. We analyze this bias for stable index algorithms, including UCB1 and its generalizations, and derive sharp leading-order expre...
Control Under Compression: Reliability Frontiers for Tool-Using Agents
Tool-using language-model agents are governed not only by task prompts but also by persistent system-side instructions that specify tools, arguments, policies, execution protocols, and recovery. Compressing these agent control contexts (AC...
Credit the Right Box: Marginal Contribution Assignment for Structured Visual Perception
Multimodal Large Language Models (MLLMs) are increasingly expected to solve structured perception tasks that require visual recognition, language-to-object binding, object cardinality preservation, and precisely localized grounding and seg...
DeBERTa-Sentinel: Toward Transparent and Trustworthy Detection of AI-Generated Text
The rapid spread of large language models (LLMs) across the web raises concerns about misinformation, academic integrity, automated content manipulation, and risks to vulnerable online communities. Existing transformer-based detectors, suc...
Decoy Images Amplify Caption-Mediated Defenses Against Encoded Jailbreaks
We report a counter-intuitive interaction between image inputs and existing black-box defenses on Vision--Language Models (VLMs): pairing an encoded jailbreak prompt with an unrelated decoy image can sharply lower attack success rate (ASR)...
Don't Offer What Can't Be Done: Deterministic Executability Gating for LLM Skill Selection at Scale
Production LLM agents that select from large skill libraries face a limitation that semantic relevance alone cannot resolve: a skill may match a user's topic yet be impossible to execute in the current account state. We present a deployed...
FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds
World models have attracted significant attention for their ability to capture and predict the structure and dynamics of the physical world. In this emerging landscape, Joint Embedding Predictive Architectures (JEPA) offer a particularly c...
Is paying artists enough to convince them to embrace AI?
Illustrators have spent years sounding the alarm about generative artificial intelligence startups training their models on artists' work without permission. They've pointed out how the practice is tantamount to theft, and in response, man...
Logit-Origin Centering for Singleton Test-Time Adaptation
Tabular data is used extensively in many real-world use cases. Deep learning models have been developed to deal with tabular data, but generally perform poorly when the test data distribution differs from that of the training data. Researc...
On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
Machine-learning predictors estimate processor performance far faster than cycle-level simulation. For design-space exploration, however, the valuable test is not merely reproducing the usual hardware ordering, but identifying how differen...
Role-Decoupled Attention Residuals: Separating Matching and Content Retrieval Across Depth
Depth-routing residual architectures allow Transformer layers to retrieve earlier representations instead of inheriting only the immediately preceding state. Existing Block Attention Residuals, however, use a single content-dependent depth...
Using Lower-Bound Representations for Trajectory Similarity Learning
Trajectory similarity learning is fundamental to efficient trajectory retrieval under complex distance measures. Existing learning-based methods typically rely on embeddings trained to approximate trajectory distances or rankings, but they...
What Could the Agent See at 19:05? Generating Temporal Enterprise Scenarios from Real Research and Replaying Them to Evaluate Agents
Enterprise AI agents act across many apps whose data changes continuously, so an answer is correct only relative to what data existed and who could see it at the moment it was asked. Offline evaluation today grades against a single static...
ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation
Standard AI-text detection benchmarks compare human-written text against text generated directly by large language models (LLMs). While prior work has shown that rewriting and paraphrasing can degrade detector performance, it remains uncle...
Evidence-Type Competition: When Can Interventional Data Teach Language Models Causal Direction?
Interventional data is widely regarded as the gold standard for teaching models causal reasoning. We test this assumption in a fully controlled synthetic environment pitting observational correlation against causal effect, and find it fail...
FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models
Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a benchmark for inferring whether two people are already familiar or are meeting as strangers, from a 20-second clip of a dyadic ice-breaker c...
Benchmarks
Benchmarks
Design Arena creators raise $7.9 million to bring taste to AI models
Design Arena is used by 5.3 million people around the world, providing critical human evaluations to frontier labs.
Resources
Resources
Congress’ favorite AI tool? ChatGPT
House spending records show OpenAI's ChatGPT dominates paid AI use on Capitol Hill, with congressional offices relying on the chatbot to draft memos, summarize legislation, and assist constituent communications.
Google Earth’s AI deepfake tool only lasted one day
Google has shut down Google Earth feature it launched Thursday that allowed users to edit satellite images with text prompts using AI. The tool essentially let users create AI deepfakes of the real world using text prompts; Digital Digging...