The systematic thinking errors that kill breakthrough technology and the decision framework that prevents these disasters

Can you imagine using a keyboard where it took a key press two seconds to show up on screen? That’s the typical latency for most voice interfaces, so it’s no wonder they’ve failed…

A PESTLE analysis examines how Political, Economic, Social, Technological, Legal, and Environmental external factors affect a business or an organization.

Archive of historical technological pessimism

A Florida woman fell victim to a cold-hearted scam and was conned out of $15,000 due to an AI-cloned audio of her daughter’s voice.

AI capex is so big that it's affecting economic statistics, boosting the economy, and beginning to approach the railroad boom

We examine the early labor market impacts of AI chatbots by linking large-scale, representative adoption surveys to administrative labor re

This is the first of a series of short reports that seek to help business, education, and policy leaders understand the technical details of working with AI thr

This paper explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. We

This paper studies the impact of Generative AI technologies on the demand for online freelancers using a large dataset from a leading global freelancing platfor

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variet

A four-day forecast today is as accurate as a one-day forecast 30 years ago.

Sometimes, the most important news is when something isn’t happening.

We present seven experiments exploring gender biases in GPT. Initially, GPT was asked to generate demographics of a potential writer of twenty phrases containing feminine stereotypes and twenty with masculine stereotypes. Results show a strong asymmetry, with stereotypically masculine sentences attributed to a female more often than vice versa. For example, the sentence “I love playing fotbal! Im practicing with my cosin Michael” was constantly assigned by ChatGPT to a female writer. This phenomenon likely reflects that while initiatives to integrate women in traditionally masculine roles have gained momentum, the reverse movement remains relatively underdeveloped. Subsequent experiments investigate the same issue in high-stakes moral dilemmas. GPT-4 finds it more appropriate to abuse a man to prevent a nuclear apocalypse than to abuse a woman. This bias extends to other forms of violence central to the gender parity debate (abuse), but not to those less central (torture). Moreover, this bias increases in cases of mixed-sex violence for the greater good: GPT-4 agrees with a woman using violence against a man to prevent a nuclear apocalypse but disagrees with a man using violence against a woman for the same purpose. Finally, these biases are implicit, as they do not emerge when GPT-4 is directly asked to rank moral violations. These results highlight the necessity of carefully managing inclusivity efforts to prevent unintended discrimination.

Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance, particularly in emerging markets. However, running a business involves a wide range of open-ended problems, making it unclear whether and how recent advances in AI can help business owners around the world make better decisions. In a field experiment with Kenyan entrepreneurs, we evaluated the impact of AI advice on small business revenues and profits by randomizing access to a GPT- 4-powered AI business assistant. While we are unable to reject the null hypothesis of no average treatment effect on firm revenues and profits, we find that the effect for entrepreneurs who were low-performing at baseline is nearly 0.25 standard deviations lower than for initial high performers. Subsample analyses show that low performers did nearly 10% worse due to the AI assistant, whereas high performers may have benefited by over 15%. This differential impact does not appear to result from differences in the questions posed to or the advice received from the AI, but rather from which pieces of AI advice entrepreneurs selected and implemented. More broadly, these results show that generative AI is already capable of impacting real-world business performance— though in uneven and sometimes unexpected ways.

Open map of the world's electricity, telecoms, oil, and gas infrastructure, using data from OpenStreetMap.

OpenCoder: The Open Cookbook For Top-Tier Code Large Language Models

We've developed a new series of AI models designed to spend more time thinking before they respond. Here is the latest news on o1 research, product and other updates.

Our latest video generation model is more physically accurate, realistic, and more controllable than prior systems. It also features synchronized dialogue and sound effects. Create with it in the new Sora app.

Broadening usage of frontier AI

The browser with ChatGPT built in.

We’re announcing GPT-4 Omni, our new flagship model which can reason across audio, vision, and text in real time.

This report outlines the safety work carried out prior to releasing GPT-4o including external red teaming, frontier risk evaluations according to our Preparedness Framework, and an overview of the mitigations we built in to address key risk areas.

Frontier reasoning models exploit loopholes when given the chance. We show we can detect exploits using an LLM to monitor their chains-of-thought. Penalizing their “bad thoughts” doesn’t stop the majority of misbehavior—it makes them hide their intent.

We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.