Dream Lab LA’s Jon Finger (left) and Verena Puhm
Tools & Platforms
Tennis Player Says ‘They Stole the Game’
Wimbledon’s line calling system for the Grand Slam tennis tournament in London was deactivated for approximately seven minutes during Sunday’s match between Anastasia Pavlyuchenkova and Sonay Kartal, sparking confusion among players and fueling a wider debate over the reliability of AI technology.
This year marks Wimbledon’s first full implementation of AI-powered Electronic Line Calling (ELC) systems, replacing human line judges. However, recurring malfunctions during several matches have prompted doubts over whether the technology is prepared to serve as a complete substitute for human officials.
The All England Lawn Tennis & Croquet Club (AELTC) has apologized, attributing the mistake to “human error” and announced that measures have been implemented to prevent similar issues in the future.
AI line-calling chaos on Centre Court
The match between Russia’s Pavlyuchenkova and Britain’s Kartal saw significant ELC errors after the system was deactivated for six minutes and 49 seconds, causing three points to be judged incorrectly.
At 4-4 in the first set, with Pavlyuchenkova holding game point, the ELC missed an out call on Kartal’s backhand. Chair umpire Nico Helwerth paused the match to investigate, explained the system failure to players, and ordered the point to be replayed. Kartal seized the moment to break Pavlyuchenkova’s serve and take a 5-4 lead.
During the change of ends, Pavlyuchenkova could be heard accusing the officials of stealing the game from her, saying to Helwerth, “You took the game away from me. … They stole the game from me. They stole it.”
Wimbledon’s ELC also failed to detect two more shots landing out, requiring Helwerth to make manual calls. Although Pavlyuchenkova recovered, winning 7-6, 6-4 and advancing to the quarterfinals, the incident highlighted persistent doubts over the dependability of fully automated officiating.
More concerns about AI line judges
Wimbledon’s transition to AI line call technology has been a big talking point in the tennis world, with many players criticizing ELCs.
The men’s British No. 1 player Jack Draper voiced concerns about inaccurate line calls, stating that he did not think the AI technology was “100 percent accurate.”
Even when functioning correctly, ELCs can still impact players’ performance. Player Ben Shelton had to accelerate his match after being warned that the ELC might stop operating as daylight faded.
Other players have complained about the system’s quiet automated announcements and that the lack of visual signals can cause confusion, especially for hard-of-hearing players.
Wimbledon defends ball-tracking tech
An AELTC spokesperson provided a statement to CNN maintaining that the ELC system is accurate. “We continue to have full confidence in the accuracy of the ball tracking technology.”AI tech is showing up in other sports, such as the fully AI-generated ad that aired during the NBA Finals.
Tools & Platforms
Can AI and tech help streamline prior auths? What you need to know
For many physicians, the prior authorization process is one of the most frustrating parts of practicing medicine. What was intended as a cost-control measure has become a significant administrative burden, taking time away from patient care and adding layers of complexity to routine clinical decisions. Physicians often find themselves spending hours navigating insurer requirements, tracking down documentation, and enduring delays that can negatively impact patient outcomes.
But artificial intelligence may be part of the solution.
We spoke with Brad Boyd of BDO Consulting about how new technologies are being developed to streamline and even automate parts of the prior authorization process. From reducing paperwork to identifying which procedures are likely to be approved, AI tools are showing promise in helping practices manage approvals more efficiently—and with less stress.
AI systems can now integrate with electronic health records to gather relevant clinical data, match it against payer criteria, and generate documentation in real time. Some platforms can flag missing information or alert staff to likely denials before they happen. Others can help determine when prior authorization isn’t required at all, eliminating unnecessary steps.
While not a silver bullet, AI offers the potential to reduce the time and cost associated with prior authorizations. And as regulations continue to push for greater transparency and speed in the process, many in the industry believe AI will play a critical role in helping practices adapt.
Tools & Platforms
Hybrid ‘buyer agent’ blends AI with the human touch
Newly launched brokerage WithJoy.AI aims to get buyers through most of a transaction with tech, providing a big commission rebate in return.
Key points:
- The brokerage, currently active in Washington state, envisioned a “purely AI real estate agent,” but says their approach offers “the best of both worlds.”
- Many traditional buyer agent tasks are handled by the company’s AI-powered technology, with agents on standby “to hold your hand.”
- Buyers who complete a transaction with the firm can receive a rebate of up to 70% of the buy-side commission.
Artificial intelligence has quickly become the backbone of many real estate technologies, powering CRMs, marketing tools, operational software and more. But can AI eventually help consumers buy and sell homes with no human support?
While some companies are pursuing a fully AI-powered transaction, others — like WithJoy.AI — are taking a “best of both worlds” approach. The recently launched brokerage, which is piloting its offering in Washington state, aims to offload much of a human buyer agent’s work to an AI agent — “Joy” — but also provides real people to help buyers get to the finish line.
AI for the nuts and bolts, humans for hand-holding
A 2024 report from T3 Sixty found that a staggering 80% of an agent’s tasks can be handled by AI, leaving agents to focus on the “fine tuning” — and, says WithJoy Co-founder and CEO Dave Clark, the “scary” stuff.
WithJoy currently specializes in the buy-side of the transaction, leveraging tech where possible to assist both consumers and agents after deciding a fully automated approach wasn’t viable.
“Our initial vision when we started working on this over a year ago was that we’re going to create a purely AI real estate agent,” said Clark.
“We very quickly realized that, regulatorily speaking, you actually can’t do that. So, instead, we got kind of the best of both worlds. You still have the human presence to do the part of the job that tech really won’t be able to, like being someone who’s going to hold your hand and walk you through the scary aspects that people are going to be less likely to just trust a purely digital interface.”
The company helps buyers zero in on a home using natural language search, and when a buyer is ready to move forward, WithJoy can help draft an “AI-backed offer” that is approved by an agent before it goes in front of a client.
A substitute for an agent’s local market expertise?
In WithJoy’s model, there’s a local agent available for buyers who have questions — but that may not always be the case as this type of technology expands.
“My biggest concern is actually for the clients, many of whom will be tempted to forgo contracting with a local, more expensive agent who provides a higher level of service than an AI, or a remote agent-plus-AI team,” said Sebastian Frey, broker associate at Compass Silicon Valley in Los Gatos, California.
“I always consider one of my primary jobs as a buyer’s agent to help a buyer avoid making a horrible mistake, and I can see a lot of buyers not fully understanding what they’re getting into if they rely solely on AI to help them close the deal, or relying on an AI-empowered agent hundreds of miles away who has zero experience with the intricacies of the local market they’re buying in.”
But, Frey acknowledges, experienced buyers and investors who know the ins and outs of real estate may welcome a more hands-off, AI-driven option. “In fact, many will wholeheartedly embrace it,” Frey predicts. And they might also value the cost savings — WithJoy says buyers using their system can receive a rebate of up to 70% of the buy-side commission.
What lies ahead
Many agents are already embracing AI tools in their everyday work, letting the tech handle time-consuming tasks like writing up CMAs or listing descriptions so an agent can simply review them rather than create them from scratch.
Tech-forward brokerages like Real, Compass and Keller Williams have created proprietary AI tools for their agents, as have third-party proptech companies and startups, and MLSs are jumping on the AI bandwagon as well.
It’s clear that the technology is not only here to stay, but rapidly advancing — and in an AI future, real estate professionals who don’t embrace it will likely get left behind.
Tools & Platforms
Luma AI Launches Dream Lab LA for AI Use in Filmmaking
July 10, 2025
Generative AI company Luma AI has announced the launch of its initiative “Dream Lab LA” headquartered in Los Angeles that combines AI technology with expertise in filmmaking.
“Dream Lab LA is designed as a creative engine room where Hollywood veterans, emerging storytellers, studios, and curious minds come together to shape the next era of storytelling — before it arrives,” according to a Luma AI press release.
According to the company, Dream Lab LA will allow filmmakers to collaborate, learn and tell new stories; studios get embedded support to modernize workflows and upskill teams; and “curious daredevils push boundaries and experiment freely.”
“Dream Lab LA is where we build what everyone else is still guessing at,” Amit Jain, CEO and founder of Luma AI, said in a statement. “This is not about chasing trends, this is about defining what’s next.”
Dream Lab LA exists to explore how AI can empower creativity, not replace it, according to Luma AI, offering a space for experimentation, education, and collaboration between studios and creators.
Luma AI also announced the leadership team for Dream Lab LA, naming Verena Puhm as head of the studio. With experience in both traditional and AI-driven storytelling, Puhm has shaped content for global giants such as CNN, BBC, Netflix, Red Bull Media and Leonine Studios. As one of the earliest creatives to embrace AI in filmmaking, she’s led projects recognized by Sundance, Project Odyssey, Curious Refuge and OpenAI’s Sora Selects. In her new role, Puhm will spearhead the studio’s vision for next-generation content and lead a slate of productions.
“I believe the future of storytelling should be shaped by the people who tell stories, not just the people who build the tools,” Puhm said in a statement. “We’re cultivating a community, a creative lab, and a launchpad for what’s next. This isn’t just another platform; it’s a creative studio built from the ground up to blend technological innovation with artistic intention.”
Jon Finger, creative workflow executive, brings more than 15 years of experience at the intersection of emerging technology and content creation. A pioneer in at-home motion capture, 3-D scanning, and virtual production, he has worked across various entertainment sectors with brands such as Paramount Network, The Game Awards, and Comedy Central, and has developed for Netflix. For the past three years, Finger has focused on AI integration in filmmaking, developing workflows that give creators physicalized control over AI-driven productions.
“The focus here is to find the best experiences for passionate creatives,” Finger said in a statement. “The world is changing quickly, and we want to find the best ways for fun, fulfilling human-centric creative expression to not only continue but be amplified, so more creative people can find a new prosperous way forward.”
From its Modify Video, Reframe, and Keyframes to its foundation models Ray2 and Photon, Luma creates instruments explicitly designed for narrative storytelling.
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