The wisdom goes that the more compute you have or the more training data you have, the smarter your AI tool will be. Sutskever said in the interview that, for around the past half-decade, this "recipe" has produced impactful results. It's also efficient for companies because the method provides a simple and "very low-risk way" of investing resources compared to pouring money into research that could lead nowhere.
At the same time, AI companies are getting into e-commerce. In September, OpenAI debuted an instant checkout feature in ChatGPT so people can buy items from stores such as Etsy without leaving the chat. This month, Google announced an AI assistant that can call local stores to check if an item is in stock, while Amazon rolled out an AI feature that tracks price drops and automatically buys an item if it falls within someone's budget.
The line between human and machine authorship is blurring, particularly as it's become increasingly difficult to tell whether something was written by a person or AI. Now, in what may seem like a tipping point, the digital marketing firm Graphite recently published a study showing that more than 50% of articles on the web are being generated by artificial intelligence.
On Monday, the company introduced Claude Opus 4.5 and described it as its most advanced AI model to date, and said that the new model "scored higher than any human candidate ever" on "a notoriously difficult take-home exam" that the company gives prospective engineering candidates. In a blog post on Monday, Anthropic said that the two-hour take-home test is designed to assess technical ability and judgment under time pressure, and though it doesn't reflect all skills an engineer needs to possess,
AI slop is here, it's ubiquitous, it's being used by the US president, Donald Trump, and now, it's the word of the year. The Macquarie Dictionary dubbed the term the epitome of 2025 linguistics, with a committee of word experts saying the outcome embodies the word of the year's general theme of reflecting a major aspect of society or societal change throughout the year.
Wasabi Technologies has cut the ribbon on the latest iteration of its EMEA Partner Program for 2026, as the cloud storage provider looks to drive further growth across the European channel. The refresh aims to equip partners for the next wave of cloud adoption as AI workloads and data volumes continue to gather pace. Following the move, partners now have access to a new Systems Integrator Program for improved solution delivery, new AI-ready storage offerings, as well as a host of tools, certifications, and incentives.
One of the report's topline findings: there is a major divide between the accessibility and accuracy of AI transcription and translation tools when they're used for English and other dominant languages, and when they're used for languages that AI researchers have termed "low-resource. " English represents more than 50% of the domains on the web. Mainstream language models are largely trained on data scraped from the internet, which is one reason transcription and translation tools perform so well in English.
There is a persistent myth of objectivity around AI, perhaps because people assume that once the systems are deployed, they can function without any human intervention. In reality, developers constantly tweak and refine algorithms with subjective decisions about which results are more relevant or appropriate. Moreover, the immense corpus of data that machine learning models train on can also be polluted.
The biggest change isn't that other tools have vanished. It's that ChatGPT has become the new front door to information. Within months of its introduction on Nov. 30, 2022, ChatGPT had 100 million weekly users. By late 2025, that figure had grown to 800 million. That makes it one of the most widely used consumer technologies on the planet. Surveys show that this use isn't just curiosity - it reflects a real change in behavior.
Fundamentally, they are based on gathering an extraordinary amount of linguistic data (much of it codified on the internet), finding correlations between words (more accurately, sub-words called "tokens"), and then predicting what output should follow given a particular prompt as input. For all the alleged complexity of generative AI, at their core they really are models of language.
The jury is still out on how much and how soon GenAI will impact the legal profession, as I pointed out in a recent article. But one thing is certain: GenAI is affecting what people are revealing, the questions they're asking, and what advice they're receiving. The implications for lawyers, or perhaps more accurately, their clients, are downright scary. People are talking too much and getting wrong advice that's memorialized for future use and discovery I had sounded this alarm before. And now a recent Washington Post analysis of some 47,000 ChatGPT conversations validates many of these concerns in alarming ways.
Tesla China did not clarify exactly what it meant by "Autopilot" in its Weibo post, though the company's intense focus on FSD over the past years suggests that the term includes miles that were driven by FSD (Beta) and Full Self-Driving (Supervised). Either way, 10 billion cumulative miles of real-world data is something that few, if any, competitors could compete with.
Driving the news: A number of towering figures in the field have grown dissatisfied with their Big Tech jobs and opted to start up their own ventures. Meta AI chief scientist Yann LeCun - who has clashed with Meta leadership over research direction - is the latest star heading for the exits. Meta says it plans to partner with LeCun's new startup, which will focus on models with real-world reasoning.
