مستقبل التقنية يتسارع: من نفط قطر الرقمي إلى ثورة الذكاء الاصطناعي

<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxNU2tMVEV4enZYQkVoNHAwRnRfa2kzUzNoSnZ5ejhQVXZCX3MxNFkycUZTSjd4RG1rUkZfcGZfTU0wQzE3U01fNHpVMzdweVotMXBNWU1FMGlzVlRxX1JfUkVDQnVOQy1VWUM2cmRieEE0S29XakJLbUtMNjdxNTFqaU9SSE1jTjd2QXJlQ2wtbHBtQQ?oc=5" target="_blank">Compute could be Qatar's new oil</a>&nbsp;&nbsp;<font color="#6f6f6f">Axios</font>

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFBfTjlXa0RVTmtYTnAwOU1QenJNX2laMXNfeldWclNPYmtLdHRCNnJvT3BuMDBHeTBRVWlkRmNwaTU0QTFSZERMbGhCeGFJUVQwdk1UXzI5RkVoN20xeklpSzlOcHFZZXVXNXc?oc=5" target="_blank">تقرير: أبل ستتيح روبوتات الذكاء الاصطناعي الخارجية داخل نظام كار بلاي</a>&nbsp;&nbsp;<font color="#6f6f6f">ارقام</font>

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the company’s AI has also driven billions of miles virtually, and there’s a lot more to come with the new Waymo World Model. Based on Google DeepMind’s Genie 3, Waymo says the model can create “hyper-realistic” simulated environments that train the AI on situations that are rarely (or never) encountered in real life—like snow on the Golden Gate Bridge. Until recently, the autonomous driving industry relied entirely on training data collected from real cars and real situations. That means rare, potentially dangerous events are not well represented in training data. The Waymo World Model aims to address that by allowing engineers to create simulations with simple prompts and driving inputs. Google revealed Genie 3 last year, positioning it as a significant upgrade over other world models by virtue of its long-horizon memory. In Google’s world model, you can wander away from a given object, and when you look back, the model will still “remember” how that object is supposed to look. In earlier attempts at world models, the simulation would lose that context almost immediately. With Genie 3, the model can remember details for several minutes. Snow in San Francisco. Snow in San Francisco. Autoregressive world models like Genie don’t actually create 3D spaces, but instead render video quickly enough that it feels like an explorable world. Naturally, video games are cited as a prime application for world models, so much so that gaming company stocks dropped when Google recently expanded access to the technology as Project Genie. However, the latency and still rather short memory of Genie make gaming uses far from a certainty. Nevertheless, Waymo says Genie 3 is actually ideal for simulating the kind of data it needs to train self-driving cars.

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE9UbU5xa3lrUnZOYlQ2OFpobVM0UnhvZVpjM3BPMDB1dzJfeHBhZnJraXJOOWtfb09Oa1lCVHFVSE83bHJVQU1JV1I4MDVXbDhUUFp4Wl9xWWFvSEVGd3R0YXVOSXVpYmtKd0E?oc=5" target="_blank">هوانج: الطلب على الذكاء الاصطناعي مرتفع والاستثمار به مستدام</a>&nbsp;&nbsp;<font color="#6f6f6f">ارقام</font>

In Brief Last month, I wrote about Mercor’s new benchmark measuring AI agents’ capabilities on professional tasks like law and corporate analysis. At the time, the scores were pretty dismal, with every major lab scoring under 25%, so we concluded lawyers were safe from AI displacement, at least for now. But AI capabilities can change a lot in a couple of weeks. This week’s release of Anthropic’s Opus 4.6 shook up the leaderboards, with Anthropic’s new model scoring just shy of 30% in one-shot trials, and an average of 45% when given a few more cracks at the problem. Notably, the release included a bunch of new agentic features, including “agent swarms,” which may have helped with this kind of multistep problem-solving. Regardless, the score is a huge jump from the previous state-of-the-art, and a sign that progress on foundation models isn’t slowing down. Mercor CEO Brendan Foody, who was particularly impressed, said, “jumping from 18.4% to 29.8% in a few months is insane.” The APEX-Agents Leaderboard. Image Credits:Mercor (screenshot) Thirty percent is still a long way from 100%, so it’s not like lawyers need to be worried about getting replaced by machines next week. But they should be a lot less confident than they were last month!

Talk about return on investment. Amazon's bet on Anthropic looks like an enormous win, at least on paper. The cloud giant disclosed on Friday that it holds $45.8 billion of convertible notes and $14.8 billion of nonvoting preferred stock in the AI startup. Taken together, the figures show that Amazon's Anthropic stake is now worth $60.6 billion. Amazon has invested $8 billion in Anthropic since late 2023, indicating a seven-fold increase in value. If borne out, that would rank among the most lucrative strategic technology investments the company has ever disclosed. The two companies have a deep commercial tie-up. Anthropic has committed to buy 1 million of Amazon's Trainium chips, binding one of the leading AI labs closely to Amazon Web Services. Anthropic last raised $13 billion in September at a $183 billion post-money valuation, following a $3.5 billion round in March that valued the company at $61.5 billion. The AI startup is in talks for another funding round that would push its value to $350 billion. The convertible notes held by Amazon convert to preferred stock as Anthropic raises additional capital. So every time the startup closes a round, Amazon gets valuable new stock in one of the hottest AI companies on the planet. Some of the upside has already flowed through to Amazon's earnings. Conversions in 2025 generated about $5.6 billion in recognized gains, and Amazon booked a further $7.2 billion upward adjustment to its "other income" in the third quarter as Anthropic's valuation climbed. An Amazon spokesperson told Business Insider that the value of the company's Anthropic stake rose from $38.5 billion in the third quarter to $60.6 billion in the fourth. The company expects to book a further $15 billion gain in first-quarter "other income" as some of the notes convert to nonvoting preferred stock, the spokesperson added. Amazon also disclosed that these valuations relied on "significant judgment." The company classified the convertible notes as "Level 3" assets, meaning their values are based on unobservable inputs and Amazon's own assumptions rather than market prices, the company disclosed. That's common with stakes in startups, which don't have securities that trade regularly on liquid public markets. That's what IPOs are for — and Anthropic is reportedly eyeing a listing this year.

lighning bolt icon An icon in the shape of a lightning bolt. lighning bolt icon An icon in the shape of a lightning bolt. Impact Link Have an account? Log in . Even as the broader US job market cools, AI keeps punching above its weight. New data from Indeed shows overall job postings ended 2025 just 6% above pre-pandemic levels, but postings that mention AI are up more than 130% since early 2020. The standout stat: more than 1 in 25 job postings now reference AI, pushing Indeed's AI Tracker to a record 4.2% in December. The skew is striking. Nearly 45% of data and analytics roles mention AI, compared with about 15% in marketing and 9% in HR, even as hiring across many knowledge-work fields remains weak. As employers narrow hiring plans, AI roles are absorbing a growing share of expectations, raising a big question: Can AI carry the labor market in 2026? Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com.