Hollywood actor Justin Theroux and actress Nicole Brydon Bloom have officially tied the knot! The Beetlejuice Beetlejuice star, 53, and The Gilded Age actress, 30, exchanged vows in a beautiful beachside ceremony, as confirmed by sources.

Photos obtained by TMZ show the newlyweds dancing and embracing on the beach. Theroux looked sharp in a classic tuxedo featuring a cream-colored jacket, black trousers, and a black bow tie. Bloom stunned in a flowing white gown with an elegant open-back design.

The couple first sparked dating rumors in February 2023 when they attended a Netflix event together. By August, their romance was confirmed when they were spotted sharing a kiss during a date night.

In March 2024, they made their red carpet debut at the Vanity Fair Oscars party, turning heads in coordinated black outfits.

Theroux proposed to Bloom in Italy with a gorgeous 4-carat emerald-cut diamond ring. The band was uniquely designed to include both their birthstones, adding a sentimental touch to the stunning piece.

Though both are public figures, Theroux has always been private about his relationships. In a May 2023 interview with Esquire, he shared his thoughts on keeping his personal life out of the spotlight.

“I want all of my relationships to exist within the four walls of whatever room we’re in,” he said. Reflecting on past experiences, he added, “Having been in a public relationship, it’s much more fun not being in a public relationship.”

Now officially married, Justin Theroux and Nicole Brydon Bloom are starting a new chapter together. Fans can’t wait to see more glimpses of their love story as they embark on this exciting journey.

What looks to be one of the first “reasoning” AI models to compete with OpenAI’s o1 has been shown by a Chinese lab.

A preview of DeepSeek-R1, an AI research startup backed by quantitative traders, was made public on Wednesday. According to the company, DeepSeek-R1 is a reasoning model that can compete with o1.

Reasoning models, in contrast to most models, take more time to think through a question or query in order to adequately fact-check themselves. By doing this, they are able to steer clear of some of the common mistakes that models make.

As with o1, DeepSeek-R1 comes up with an answer by reasoning through tasks, planning ahead, and carrying out a sequence of actions. It may take some time. Similar to o1, DeepSeek-R1 may “think” for tens of seconds before responding, depending on how complicated the question is.

According to DeepSeek, on two well-known AI benchmarks, AIME and MATH, DeepSeek-R1 (or, more specifically, DeepSeek-R1-Lite-Preview) performs similarly to OpenAI’s o1-preview model. MATH is a set of word problems, whereas AIME assesses a model’s performance using other AI models. However, the model isn’t flawless. According to certain X critics, DeepSeek-R1 (as well as o1) has trouble with tic tac toe and other logic difficulties.

Additionally, DeepSeek is easily jailbroken, meaning that it can be encouraged to disregard security measures. The model provided a comprehensive meth recipe to one X user.

The Chinese government’s pressure on regional AI programs is probably the cause of the conduct. China’s internet regulator must benchmark models to make sure their answers “embody core socialist values.” Many Chinese AI systems refuse to reply to subjects that could enrage regulators since the government has reportedly gone so far as to suggest a blacklist of sources that cannot be utilized to train models.

The increased focus on reasoning models coincides with a reexamination of the validity of “scaling laws,” which are long-held beliefs that a model’s capabilities would continuously rise if it were given additional data and processing power. Numerous news stories indicate that models from prominent AI laboratories, such as OpenAI, Google, and Anthropic, aren’t making as much progress as they used to.

New AI concepts, systems, and development processes are in high demand as a result. The first is test-time compute, which supports DeepSeek-R1 and o1 models. In essence, test-time compute, sometimes referred to as inference compute, allows models additional processing time to do jobs.

During a keynote address at Microsoft’s Ignite conference this week, Microsoft CEO Satya Nadella made reference to test-time compute and stated, “We are seeing the emergence of a new scaling law.”

An odd move is DeepSeek’s announcement that it intends to expose an API and open source DeepSeek-R1. High-Flyer Capital Management, a Chinese quantitative hedge fund that bases its trading decisions on artificial intelligence, is supporting it.

The general-purpose text-and image-analyzing DeepSeek-V2 model, one of DeepSeek’s original models, compelled rivals like ByteDance, Baidu, and Alibaba to lower the usage fees for some of their models and make others entirely free.

For model training, High-Flyer constructs its own server clusters; the latest one apparently costs 1 billion yen (~$138 million) and contains 10,000 Nvidia A100 GPUs. High-Flyer was founded by computer science graduate Liang Wenfeng with the goal of creating “superintelligent” AI through its DeepSeek organization.

In its first trading session on Friday, shares of Ola Electric shot up 20%, valuing the Indian electric car startup at almost $4.8 billion.

Ola Electric raised almost $730 million through its initial public offering in Mumbai by pricing its shares at 76 rupees, or 91 cents. Reuters claims that it is the largest listing in India for this year.

By 3:52 p.m. local time, the value of the shares was approximately 91.20 rupees.

The company’s first-day increase is the result of investors’ bets that it will emerge as a major player in India’s electric vehicle market at a time when the government is taking steps to support the sector.

Just two and a half years ago, Ola Electric, a manufacturer of electric scooters, shipped its first unit.

In India, two-wheelers are the most widely used form of transportation. According to research from McKinsey & Co., electric two-wheelers in particular are predicted to make up 60% to 70% of all new scooter sales in India by 2030.

As it gets ready to release its first electric motorcycle product in the second half of 2025, Ola Electric is attempting to capitalize on this trend.

Like Tesla, the venture was started by well-known businessman Bhavish Aggarwal and bills itself as a corporation that can handle everything from design to manufacture and batteries.

However, as of right now, it doesn’t seem like the corporation has any intentions to enter the auto industry.

Temasek, an investment group based in Singapore, and SoftBank are two well-known investors in Ola Electric.

The business stated that it intends to utilize the profits from the initial public offering (IPO) to finance the growth of its gigafactory battery production, pay down debt, and increase research and development.

In the year that concluded on March 31, the company’s sales increased by 90% on an annual basis, but its losses increased. The business hasn’t made any money yet.

Aggarwal is also a co-founder of Ola Cabs, an Indian ride-hailing service.