Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X. Altman said in the post that the company has been thinking about releasing an open weight model for some time, adding "now it feels important to do." The move is partly a response to the runaway success of the R1 model from Chinese company DeepSeek, as well as the popularity of Meta's Llama models. OpenAI may also feel the need to show that it can train the new model more cheaply, since DeepSeek's model was purportedly trained at a fraction of the cost of most large AI models. "This is amazing news," Clement Delangue, cofounder and CEO of HuggingFace, a company that specializes in hosting open AI models, told WIRED.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Organizations are increasingly adopting AI-enabled technologies to address existing and emerging problems within the enterprise ecosystem, meet changing market demands and deliver business outcomes at scale. Shubhangi Vashisth, senior principal research analyst at Gartner, said that AI innovation is happening at a rapid pace. Vashisth further noted that innovations including edge AI, computer vision, decision intelligence and machine learning will have a transformational impact on the market in coming years. However, while AI-powered technologies are helping to build more agile and effective enterprise systems, they usher in new challenges. For example, Gartner notes that AI-based approaches if left unchecked can perpetuate bias, leading to issues, loss of productivity and revenue.

Theresa Arevalo was in high school when she first tried finishing drywall at her brother's construction company. "It's a fine art," she says of mudding--applying and smoothing drywall. "Like frosting a cake, you have to give the illusion that the wall is flat." Fast-forward a few decades: Arevalo now works at Canvas, a company that's built a robot using artificial intelligence that's capable of drywalling with almost as much artistry as a skilled human worker. The robot has been deployed, under Arevalo's supervision, at several construction sites in recent months, including the new Harvey Milk Terminal at San Francisco International Airport and an office building connected to the Chase Center arena in San Francisco.

Building a self-driving car was never going to be easy. But Karl Iagnemma says he didn't expect it to be this hard. "Vehicles are these massively complex systems, and to [build self-driving cars], we need to integrate them with another very complex system and do it in a way that's reliable and cost-optimized. It's really, really hard," says Iagnemma, the president and CEO of a joint venture formed in March between South Korea's Hyundai and self-driving startup Aptiv. "I think that's one of the things that most players in the industry underappreciated, myself included."

There is widespread agreement that the only way to safely reopen the economy is through a massive increase in testing. The US needs to test millions of people per day to effectively track and then contain the covid-19 pandemic. This is a tall order. The country tested only around 210,000 people per day last week, and the pace is not increasing fast enough to get to millions quickly. The urgency to do better is overwhelmingly bipartisan, with the most recent legislation adding $25 billion for testing a few days ago.

Michelle Harrison Bacharach, the cofounder and CEO of FindMine, an AI styling company, has designed a technology, Complete the Look, that creates complete outfits around retailers' products. It blends the art of styling with the ease of automation to represent a company's brand(s) at scale and help answer the question'how do I wear this?' The technology shows shoppers how to wear clothes with accessories. The company uses artificial intelligence to scale out the guidance that the retailer would provide. FindMine serves over 1.5 billion requests for outfits per year across e-commerce and mobile platforms, and AOV (average order value) and conversions by up to 150% with full outfits. "I'm picky about user experiences," Bacharach explains.

IBM Watson's 2011 debut stunned the world by defeating some of Jeopardy's finest champions. Seven years later, Watson's greatest achievement is, err, still that Jeopardy win oh so many years ago. The Watson launch was a mass market striptease that had the world in awe of the potential of AI. It inspired a generation of technologists to set their sites on AI. But while it helped to end the so-called "AI-winters," it has yet to produce an enterprise-viable technology.

Hiring managers can spend hours using primitive keyword search tools to sift through half-relevant resumes on job boards, and workers with in-demand skills get bombarded with emails from recruiters offering them jobs they're not particularly interested in, says Ed Donner, cofounder and CEO of New York startup Untapt. "Hiring tech people is an incredible pain point," says Donner, who previously headed a technology team with hundreds of employees at JPMorgan Chase. "It's still impossibly hard to find talent." Untapt is one of a number of companies looking to make it easier to digitally dig through piles of resumes, using machine learning techniques to develop algorithms that predict how well-suited a candidate is for a job. Advocates and industry experts say that adding automation to recruiting can save time and money and can potentially help hiring managers find and consider a more diverse set of applicants.

It involves hard work, perseverance as well as a supportive and loving network of friends and family. But another ingredient often goes into the mix: A disciplined existence which fosters an ability to accomplish great things. Take it from these high achievers who share the daily habits which they've stuck to over time which have helped them succeed. "As the head of a collaboration software company, I fully know and understand the benefits of technology in the workplace. However, when I go into meetings--whether over web conferencing or in-person--I like to carry a notebook with me so I can write down the important items. Writing things down keeps me organized and helps me prioritize my daily tasks. It also keeps me engaged and focused on the person in front of me." "Too many people tell me they don't have time to read. Reading inspires, changes the brain in positive ways, delivers new ideas, gives you something to talk about and helps you grow professionally and personally. At my busiest, and I mean 16-hour-days-busy, I will always read two pages a night. It takes no more than six minutes and I will often do it while I brush my teeth and floss. Saying you don't have time to read is like saying there is nothing more you want to learn and there will always be more to learn."