Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and engaging with this emerging technology through three research directions. First, I demonstrate how the institutional adoption of AI detectors introduces systematic biases, particularly disadvantaging writers of non-dominant language varieties, highlighting critical equity concerns in AI governance. Second, I present novel population-level algorithmic approaches that measure the increasing adoption of LLMs across writing domains, revealing consistent patterns of AI-assisted content in academic peer reviews, scientific publications, consumer complaints, corporate communications, job postings, and international organization press releases. Finally, I investigate LLMs' capability to provide feedback on research manuscripts through a large-scale empirical analysis, offering insights into their potential to support researchers who face barriers in accessing timely manuscript feedback, particularly early-career researchers and those from under-resourced settings.

Language Models (LMs) have demonstrated impressive capabilities with core Natural Language Processing (NLP) tasks. The effectiveness of LMs for highly specialized knowledge-intensive tasks in finance remains difficult to assess due to major gaps in the methodologies of existing evaluation frameworks, which have caused an erroneous belief in a far lower bound of LMs' performance on common Finance NLP (FinNLP) tasks. To demonstrate the potential of LMs for these FinNLP tasks, we present the first holistic benchmarking suite for Financial Language Model Evaluation (FLaME). We are the first research paper to comprehensively study LMs against 'reasoning-reinforced' LMs, with an empirical study of 23 foundation LMs over 20 core NLP tasks in finance. We open-source our framework software along with all data and results.

Meta AI, launched earlier this year, can be accessed through its social media platforms Facebook, Instagram and Whatsapp. It is also available as a standalone product which has a public "Discover" feed. Users can opt to make their searches private in their account settings. Meta AI is currently available in the UK through a browser, while in the US it can be used through an app. In a press release from April which announced Meta AI, the company said there would be "a Discover feed, a place to share and explore how others are using AI".

Apple's artificial intelligence features took a backseat on Monday at its latest annual Worldwide Developers Conference. The company announced a revamped software design called Liquid Glass, new phone and camera apps as well as new features on Apple Watch and Vision Pro. But in spite of pressure to compete with firms that have gone all-in on AI, Apple's AI announcements were limited to incremental features and upgrades. Users will have a few new Apple Intelligence-powered features to look forward to including live translation, a real-time language translation feature that will be integrated into messages, FaceTime and the Phone app. The Android operating system has offered a similar feature for several years.

A swath of US technology firms announced deals in the Middle East as Donald Trump trumpeted 600bn in commitments from Saudi Arabia to American artificial intelligence companies during a tour of Gulf states. Among the biggest deals was a set signed by Nvidia. The company will sell hundreds of thousands of AI chips in Saudi Arabia, with a first tranche of 18,000 of its newest "Blackwell" chips going to Humain, Saudi Arabia's sovereign-wealth-fund-owned AI startup, Reuters reported. Cisco on Tuesday said it had signed a deal with G42, the AI firm based in the United Arab Emirates, to help the company develop that country's AI sector. Trump plans to visit the UAE on Thursday.

Nippon Telegraph and Telephone said it plans to buy back as much as 200 billion ( 1.4 billion) of its shares, joining a growing list of such measures bolstering the Japanese market. The buyback will take place from May 12 through March 31 and is geared toward lifting capital efficiency and boost shareholder returns, the company said in a statement on Friday. Shares of Japan's biggest telecom operator were up about 3.4% as of 1:40 p.m. in Tokyo, off its day's high of 5.6%. NTT also forecast full-year operating income and announced quarterly profit that trailed analyst estimates. The buyback news comes on the heels of a decision to take over NTT Data Group in a deal worth 2.37 trillion -- a move it said would speed up its ability to make big bets on artificial intelligence.

Zoox, the Amazon-owned robotaxi company, announced a voluntary software recall for its vehicles. The company had paused its driverless vehicle operations for a review following an incident last month where a Zoox car and a passenger car collided in Las Vegas. According to the report filed with the National Highway Traffic Safety Administration, the crash did not cause any injuries. CNBC reports that Zoox has resumed usual operations following the software update. "After analysis and rigorous testing, Zoox identified the root cause," the company said in a blog post today.

OpenAI has reversed course in the process of transforming into a for-profit entity, announcing on Monday that its non-profit arm would continue to control the business that makes ChatGPT and other artificial intelligence (AI) products. Previously, the company had sought more independence for its for-profit division. "We made the decision for the nonprofit to stay in control after hearing from civic leaders and having discussions with the offices of the Attorneys General of California and Delaware," said CEO Sam Altman in a letter to employees. Altman and the chair of OpenAI's non-profit board, Bret Taylor, said the board made the choice for the non-profit to retain control of OpenAI. A press release from the company said that the for-profit portion of the company, through which Altman has been able to raise billions to fund OpenAI's work, would transition to a public benefit corporation, a mission-driven designation for a corporate structure that is still aimed at profit but also "has to consider the interests of both shareholders and the mission".

Meta is releasing a new tool it hopes will encourage developers to use its family of Llama models for their next project. At its inaugural LlamaCon event in Menlo Park on Tuesday, the company announced the Llama API. Available as a limited free preview starting today, the tool gives developers a place to experiment with Meta's AI models, including the recently released Llama 4 Scout and Maverick systems. It also makes it easy to create new API keys, which devs can use for authentication purposes. "We want to make it even easier for you to quickly start building with Llama, while also giving you complete control over your models and weights without being locked to an API," the company said in a blog post published during the event.

OpenAI announced today that users will soon be able to buy products through ChatGPT. The rollout of shopping buttons for AI-powered search queries will come to everyone, whether they are a signed-in user or not. Shoppers will not be able to check out inside of ChatGPT; instead they will be redirected to the merchant's website to finish the transaction. In a prelaunch demo for WIRED, Adam Fry, the ChatGPT search product lead at OpenAI, demonstrated how the updated user experience could be used to help people using the tool for product research decide which espresso machine or office chair to buy. The product recommendations shown to prospective shoppers are based on what ChatGPT remembers about a user's preferences as well as product reviews pulled from across the web.