As part of the agreement, Bragg will be able to leverage Golden Whale’s advanced machine learning and proprietary AI models, called Foundation, to help boost the predictive intelligence capabilities of the Bragg Player Account Management platform.

We are thrilled to announce a strategic partnership with Golden Whale Productions! This is a pivotal step in our roadmap to becoming a fully “AI-First” company by 2027.

Read more: https://t.co/Qe0KKReyAf$BRAG #iGaming #AI pic.twitter.com/VqnNJTcrek

— Bragg Gaming (@Bragg_Gaming) January 6, 2026

Within the announcement, Bragg have made it clear they want to become a fully AI-first company by 2027, with the collaboration said to be supporting their current strategic objectives of utilizing AI to drive cost efficiencies and improve operational excellence.

What is the Bragg AI Brain?

The executive VP of AI and Innovation at Bragg, Luka Pataky, has expanded on what the company is calling the Bragg AI brain: “This partnership serves as a foundational step in the development of what we call the Bragg AI Brain, a data-driven artificial intelligence engine designed to power smarter decisions and intelligent products across the Bragg’s Ecosystem.”

The partnership aims to allow the company to enrich its ‘Predictive Intelligence Layer’ by enabling the automation of complex workflows, optimization of player incentives, and the delivery of hyper-personalized player experiences.

“Partnering with Golden Whale is a major step forward in our strategy to maximize the value of our player base,”said Matevž Mazij, chief executive officer at Bragg.

“As we move to reinforce Bragg’s roots and provide long-term business stability, this partnership allows us to further leverage technology efficiencies through the greater proliferation of artificial intelligence. By fuelling the exploitation of AI-led technologies, we are creating opportunities to reduce costs and foster greater improvements to our operational leverage, ensuring excellence across the business.”

There’s also an aim to achieve precise forecasting in key metrics, including predicting revenue potential at 30 day, 90 day, and one year intervals. The system could also identify player departure probability windows at three day, seven day, 14 day, and 30 day markers.

Featured Image: Via Facebook post from Bragg Group

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The retail giant’s new brand features more than 1,000 grocery items, ranging from milk and olive oil to produce, meat and seafood, with most products priced under $5.

The launch comes “during a time when consumers are particularly price-conscious,” according to Jason Buechel, vice president of Amazon Worldwide Grocery Stores and CEO of Whole Foods Market.

“With Amazon Grocery, we’re simplifying how customers discover and shop our extensive private label food selection while maintaining the quality and value our customers expect and deserve,” Buechel said in a statement.

The selection spans grocery categories, from cage-free eggs and pre-sliced bagels to shredded Parmesan, baby carrots and ground beef, with most products having earned ratings of 4 stars or higher by shoppers, according to an announcement from the company.

Amazon’s private-label brand merges popular items from Amazon Fresh and Happy Belly into one collection. Amazon

To kick off the launch, Amazon is also introducing new options such as fresh-baked cinnamon rolls, refrigerated pizza dough and bottled spring water, with additional options like frozen pasta meals, pie fillings, granola and more frozen vegetables expected in the months ahead, the announcement noted.

The new brand’s packaging, which reduces plastic usage, sports a “modern” and “clean” design with bold lettering, according to the company.

In 2024, sales from Amazon’s private-label brands climbed 15% from the previous year, spanning categories from groceries and household goods to clothing. 

The retail giant’s new brand features more than 1,000 grocery items. Amazon

The merger aimed to simplify how “price-conscious” customers shop. REUTERS

Amazon Grocery products are now available nationwide through Amazon.com and Amazon Fresh, online and in stores.

Availability may vary by location.

The news follows a week after the Federal Trade Commission (FTC) announced that Amazon had agreed to pay $2.5 billion to settle a lawsuit alleging it misled customers into paying for Prime subscriptions.

Amazon did not immediately respond to FOX Business’ request for comment.

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In September, OpenAI introduced A.I. technology that could “reason” through tasks involving math, coding and science.

Now, this technology can tackle similar tasks that involve images, including sketches, posters, diagrams and graphs.

On Wednesday, the company unveiled two new versions of its reasoning technology called OpenAI o3 and OpenAI o4-mini. Each can handle tasks that involve both images and text.

These systems can “manipulate, crop and transform images in service of the task you want to do,” said Marc Chen, head of research at OpenAI, in announcing the new system during an internet livestream.

OpenAI also said these systems could generate images, search the web and use other digital tools.

Unlike early versions of its ChatGPT chatbot, these reasoning systems spend a significant amount of time “thinking” about a question before answering, rather than providing an instant response.

The systems are part of a wider effort to build A.I. that can reason through complex tasks. Companies like Google, Meta and DeepSeek, a Chinese start-up, are developing similar technologies.

The goal is to build systems that can solve a problem through a series of steps, each one building on the last, similar to how humans reason. These technologies can be particularly useful to computer programmers who use A.I. systems to write code.

The reasoning systems are based on a technology called large language models, or L.L.M.s. To build reasoning systems, companies put L.L.M.s through an additional process called reinforcement learning. During this process, a system learns behavior through extensive trial and error.

By working through various math problems, for instance, it can learn which methods lead to the right answer and which do not. If it repeats this process with a large number of problems, it can identify patterns.

OpenAI’s latest systems have learned to handle problems that involve both images and text.

Experts point out that reasoning systems do not necessarily reason like a human. And like other A.I. technologies, they can get things wrong and make stuff up — a phenomenon called hallucination.

OpenAI also unveiled a new tool, Codex CLI, that is designed to further facilitate computer programming tasks that involve systems like o3 and o4-mini. Called an A.I. agent, it provides ways of using these A.I. systems in tandem with existing code stored on a programmer’s personal machine.

The company said it was open sourcing this tool, meaning it is freely sharing its underlying technology with programmers and businesses, allowing them to modify and build on the technology.

OpenAI said that, beginning Wednesday, these new systems would be available to anyone who subscribed to ChatGPT Plus, a $20-a-month service, or ChatGPT Pro, a $200-a-month service that provides access to all of the company’s latest tools.

(The New York Times has sued OpenAI and its partner, Microsoft, for copyright infringement of news content related to A.I. systems. Both companies have denied the claims).

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A week ago, OpenAI released a tool that can go online to shop for groceries or book a restaurant reservation. Now it is offering A.I. technology that can gather information from across the internet and synthesize it in concise reports.

OpenAI unveiled the new tool, called Deep Research, with a demonstration on YouTube on Sunday, days after showing the technology to lawmakers, policymakers and other officials in Washington.

“It can do complex research tasks that might take a person anywhere from 30 minutes to 30 days,” Kevin Weil, OpenAI’s chief product officer, said at the event in Washington. By contrast, Deep Research can accomplish such tasks in five to 30 minutes, depending on the complexity.

Artificial intelligence researchers call this kind of technology an A.I. agent. While chatbots can answer questions, write poems and generate images, agents can use other software and services on the internet. This might involve anything from ordering dinner via DoorDash to synthesizing information from across the internet.

During the briefing on Capitol Hill, Mr. Weil showed the technology gathering information about Albert Einstein. He asked the tool to put together a detailed report about the physicist for a hypothetical Senate staff member preparing for a congressional hearing where Einstein is a nominee for U.S. Secretary of Energy.

In addition to providing information about Einstein’s background and personality, it generated five questions that a senator could ask the physicist to determine whether he was the right person for the job.

“It can surf the web and understand text and images and P.D.F.s,” Mr. Weil said. “And it can do this recursively. It can do one search and that leads to other searches and then it can synthesize all the information it has learned.”

Mr. Weil said that the reports generated by the tool included citations showing where the information was found. But A.I. technologies like this can still get things wrong or even make up information — a phenomenon that A.I. researchers call “hallucination.” This may mean that it provides incorrect citations.

OpenAI said that the tool may struggle to distinguish authoritative information from rumors and that it often failed to accurately convey when it was uncertain about the information it was delivering.

Still, Mr. Weil argued that the tool could help the United States accelerate economic growth. He added that the tool would be particularly useful for people in fields like finance, science and law.

(The New York Times has sued OpenAI and its partner, Microsoft, accusing them of copyright infringement of news content related to A.I. systems. OpenAI and Microsoft have denied those claims.)

OpenAI said that, beginning on Sunday, Deep Research would be available to anyone who is subscribed to ChatGPT Pro, a $200-a-month service that provides access to all of the company’s latest tools. It plans to also offer the tool via its other paid services.

The tool is based on the same technology that drives ChatGPT. This technology is what A.I. researchers call a neural network — a mathematical system that can learn skills by analyzing data.

In recent months, OpenAI has developed versions of the technology that can “reason” through tasks, determining through trial and error what actions to take. Deep Research is based on the company’s newest reasoning technology, OpenAI o3.

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