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Technology
AI agents are science fiction not yet ready for primetime
It all started with J.A.R.V.I.S. Yes, that J.A.R.V.I.S. The one from the Marvel movies.
Well, maybe it didn’t start with Iron Man’s AI assistant, but the fictional system definitely helped the concept of an AI agent along. Whenever I’ve interviewed AI industry folks about agentic AI, they often point to J.A.R.V.I.S. as an example of the ideal AI tool in many ways — one that knows what you need done before you even ask, can analyze and find insights in large swaths of data, and can offer strategic advice or run point on certain aspects of your business. People sometimes disagree on the exact definition of an AI agent, but at its core, it’s a step beyond chatbots in that it’s a system that can perform multistep, complex tasks on your behalf without constantly needing back-and-forth communication with you. It essentially makes its own to-do list of subtasks it needs to complete in order to get to your preferred end goal. That fantasy is closer to being a reality in many ways, but when it comes to actual usefulness for the everyday user, there are a lot of things that don’t work — and maybe will never work.
The term “AI agent” has been around for a long time, but it especially started trending in the tech industry in 2023. That was the year of the concept of AI agents; the term was on everyone’s lips as people tried to suss out the idea and how to make it a reality, but you didn’t see many successful use cases. The next year, 2024, was the year of deployment — people were really putting the code out into the field and seeing what it could do. (The answer, at the time, was… not much. And filled with a bunch of error messages.)
I can pinpoint the hype around AI agents becoming widespread to one specific announcement: In February 2024, Klarna, a fintech company, said that after one month, its AI assistant (powered by OpenAI’s tech) had successfully done the work of 700 full-time customer service agents and automated two-thirds of the company’s customer service chats. For months, those statistics came up in almost every AI industry conversation I had.
The hype never died down, and in the following months, every Big Tech CEO seemed to harp on the term in every earnings call. Executives at Amazon, Meta, Google, Microsoft, and a whole host of other companies began to talk about their commitment to building useful and successful AI agents — and tried to put their money where their mouths are to make it happen.
The vision was that one day, an AI agent could do everything from book your travel to generate visuals for your business presentations. The ideal tool could even, say, find a good time and place to hang out with a bunch of your friends that works with all of your calendars, food preferences, and dietary restrictions — and then book the dinner reservation and create a calendar event for everyone.
Now let’s talk about the “AI coding” of it all: For years, AI coding has been carrying the agentic AI industry. If you asked anyone about real-life, successful, not-annoying use cases for AI agents happening right now and not conceptually in a not-too-distant future, they’d point to AI coding — and that was pretty much the only concrete thing they could point to. Many engineers use AI agents for coding, and they’re seen as objectively pretty good. Good enough, in fact, that at Microsoft and Google, up to 30 percent of the code is now being written by AI agents. And for startups like OpenAI and Anthropic, which burn through cash at high rates, one of their biggest revenue generators is AI coding tools for enterprise clients.
So until recently, AI coding has been the main real-life use case of AI agents, but obviously, that’s not pandering to the everyday consumer. The vision, remember, was always a jack-of-all-trades sort of AI agent for the “everyman.” And we’re not quite there yet — but in 2025, we’ve gotten closer than we’ve ever been before.
Last October, Anthropic kicked things off by introducing “Computer Use,” a tool that allowed Claude to use a computer like a human might — browsing, searching, accessing different platforms, and completing complex tasks on a user’s behalf. The general consensus was that the tool was a step forward for technology, but reviews said that in practice, it left a lot to be desired. Fast-forward to January 2025, and OpenAI released Operator, its version of the same thing, and billed it as a tool for filling out forms, ordering groceries, booking travel, and creating memes. Once again, in practice, many users agreed that the tool was buggy, slow, and not always efficient. But again, it was a significant step. The next month, OpenAI released Deep Research, an agentic AI tool that could compile long research reports on any topic for a user, and that spun things forward, too. Some people said the research reports were more impressive in length than content, but others were seriously impressed. And then in July, OpenAI combined Deep Research and Operator into one AI agent product: ChatGPT Agent. Was it better than most consumer-facing agentic AI tools that came before? Absolutely. Was it still tough to make work successfully in practice? Absolutely.
So there’s a long way to go to reach that vision of an ideal AI agent, but at the same time, we’re technically closer than we’ve ever been before. That’s why tech companies are putting more and more money into agentic AI, by way of investing in additional compute, research and development, or talent. Google recently hired Windsurf’s CEO, cofounder, and some R&D team members, specifically to help Google push its AI agent projects forward. And companies like Anthropic and OpenAI are racing each other up the ladder, rung by rung, to introduce incremental features to put these agents in the hands of consumers. (Anthropic, for instance, just announced a Chrome extension for Claude that allows it to work in your browser.)
So really, what happens next is that we’ll see AI coding continue to improve (and, unfortunately, potentially replace the jobs of many entry-level software engineers). We’ll also see the consumer-facing agent products improve, likely slowly but surely. And we’ll see agents used increasingly for enterprise and government applications, especially since Anthropic, OpenAI, and xAI have all debuted government-specific AI platforms in recent months.
Overall, expect to see more false starts, starts and stops, and mergers and acquisitions as the AI agent competition picks up (and the hype bubble continues to balloon). One question we’ll all have to ask ourselves as the months go on: What do we actually want a conceptual “AI agent” to be able to do for us? Do we want them to replace just the logistics or also the more personal, human aspects of life (i.e., helping write a wedding toast or a note for a flower delivery)? And how good are they at helping with the logistics vs. the personal stuff? (Answer for that last one: not very good at the moment.)
- Besides the astronomical environmental cost of AI — especially for large models, which are the ones powering AI agent efforts — there’s an elephant in the room. And that’s the idea that “smarter AI that can do anything for you” isn’t always good, especially when people want to use it to do… bad things. Things like creating chemical, biological, radiological, and nuclear (CBRN) weapons. Top AI companies say they’re increasingly worried about the risks of that. (Of course, they’re not worried enough to stop building.)
- Let’s talk about the regulation of it all. A lot of people have fears about the implications of AI, but many aren’t fully aware of the potential dangers posed by uber-helpful, aiming-to-please AI agents in the hands of bad actors, both stateside and abroad (think: “vibe-hacking,” romance scams, and more). AI companies say they’re ahead of the risk with the voluntary safeguards they’ve implemented. But many others say this may be a case for an external gut-check.
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Technology
Kindle app now answers questions about the book you’re reading
Amazon has launched a new AI feature in the Kindle app that gives spoiler-free answers to questions about the book you’re reading and confirmed that authors can’t opt out from the feature.
The company calls Ask this Book an “expert reading assistant” in its announcement and says that it’s capable of answering questions about “plot details, character relationships, and thematic elements,” all while avoiding spoilers by limiting its answers to content from the pages you’ve read so far. It’s essentially an in-book chatbot, accessible from the book menu or by highlighting a passage of text you want to ask about.
Amazon spokesperson Ale Iraheta told Publishers Lunch that the answers are “non-shareable and non-copyable” and only available to readers who’ve purchased or rented books. Iraheta also said that the feature is always on, noting that “there is no option for authors or publishers to opt titles out.”
Technology
AI-powered bat tracking could give baseball players the edge
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Baseball teams have long searched for a way to study the entire swing without sensors or complex lab setups. Today, a new solution is entering the picture. Theia, an AI biomechanics company, debuted a commercially available video-only system that analyzes bat trajectory and full-body biomechanics together. This new approach works in real baseball environments and needs no reflective body markers, wearables or special equipment.
The system has been field-tested by Driveline Baseball and the San Diego Padres Biomechanics Lab, and the tests show it delivers high-quality results in both cages and on the field.
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Theia unveils a video-only biomechanics system that tracks a hitter’s full swing without sensors or lab gear. (Photo by Lachlan Cunningham/Getty Images)
A new chapter in baseball biomechanics
Theia’s platform relies on deep-learning models trained on millions of movement data points. It captures the full 3D bat path, attack angle, sequencing and body motion in one workflow that teams can run with standard high-speed video. This makes advanced biomechanics more accessible to coaches and players who train in normal environments.
Dr. Arnel Aguinaldo of the PLNU Biomechanics Lab tested the system with the Padres. He said, “Theia’s markerless technology represents a breakthrough in how we capture and analyze swing mechanics. It removes the barriers of traditional setups, letting us gather quality swing data directly from the field or the cage. That’s a game changer for both research and applied development.”
Independent testing across more than 2,000 swings showed median bat-plane angle differences of less than 3 degrees compared with marker-based systems. As a result, teams can evaluate roster-sized groups in routine cage or field sessions without slowing players down.
Why video-only tracking works in real baseball settings
Many existing tools rely on sensors or suits that can change how an athlete moves. Marcus Brown, CEO of Theia, explained to CyberGuy why video-only tracking matters.
“Using only video means teams get lab-grade biomechanics data that previously required a full lab setup, but without special suits, reflective markers, or hardware mounted to the bat or the player,” he said.
The system runs in the background once cameras are placed and calibrated. Coaches record sessions as usual, and the analysis processes automatically. Because of this, training routines stay the same, and players move naturally.
Brown added, “Until now, full swing analysis meant choosing between bat-only tools or biomechanics labs that couldn’t scale. Our new markerless technology changes that. Teams can now see the complete swing picture for every hitter using one system in an environment that matches their individual needs.”
How AI bat and body tracking improves player performance
A complete swing view gives coaches the chance to link body motion to bat results. Brown described why this matters for player development.
“Theia’s new bat tracking feature helps players improve because it gives coaches a complete and more accurate picture of the swing. Many tools today either measure the bat or the body, and many rely on wearables or sensors that can influence how an athlete moves,” Brown said. “When coaches can connect a player’s sequencing, posture, timing, and rotation to the bat’s path, speed, and contact quality, they can identify the specific movement patterns that drive results. That makes mechanical adjustments more targeted and much easier to track over time, leading to more consistent and meaningful improvements.”
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Driveline Baseball and the Padres Biomechanics Lab report strong accuracy from Theia’s markerless tracking tests. (Photo by Matt McClain/The Washington Post via Getty Images)
What players experience when teams use Theia’s system
Players will not need to attach anything to the bat or their bodies. They swing in their regular training spaces without changing behavior. Brown said, “For athletes, the biggest change is the level of precise personalized feedback they get. Coaches can isolate whether an issue is coming from sequencing, posture, timing, or how the hitter is delivering the barrel to the ball. That level of detail helps translate mechanical work in the cage into more consistent, reliable results in the field.”
Independent testing shows consistent bat and body data
Driveline Baseball and the PLNU x Padres Biomechanics Lab tested the system in both professional and collegiate settings. Brown said, “Our work with Driveline and the PLNUxPadres’ Biomechanics Lab showed the system could deliver high-quality bat-and-body data in the same environments where hitters actually train. What those tests demonstrated was consistency: the ability to capture the full swing automatically, link the bat and body with the precision needed for player development, and fit seamlessly into a normal training session.”
Why Theia’s system fits seamlessly into normal cage sessions
Sports tech can create workflow friction, but Theia aims to avoid that. Brown said, “We designed the system so coaches can use it without changing anything about their normal training routine. Once the cameras are in place, coaches simply record the session the same way they normally would, and the analysis happens automatically in the background.”
There are no extra steps, no equipment put on the players, and no training interruptions.
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Coaches can now review 3D bat paths and body sequencing using standard high-speed video. (Photo by Thien-An Truong/Getty Images)
The road ahead for AI sports performance
Brown believes this breakthrough sets the stage for future innovation.
“Player development is ultimately about understanding what drives performance, and this technology gives coaches a far clearer way to see that,” he said. “When you can connect a player’s movement to the result of the swing with objective repeatable data, you can build training plans that are far more individualized and precise.”
He also added: “This work builds on more than a decade of research and over 50 peer-reviewed validation studies focused on highly accurate markerless human motion tracking. It reflects where the field as a whole is headed toward integrated markerless solutions that give athletes and coaches clearer insight with far less friction.”
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Kurt’s key takeaways
Theia’s new bat and body tracking system reshapes how baseball teams study movement. It gives coaches deeper clarity, provides athletes with natural training conditions, and removes the hardware hurdles that limited biomechanics in the past. Fans may also see long-term effects. This level of detail can influence how hitters develop power, attack angles and timing. Young players may gain personalized training guides that shape better habits earlier in their careers. As video-driven AI expands across sports, tools like this give teams more ways to understand performance.
If your favorite team had access to this level of swing insight, how do you think it would change their lineup development strategy? Let us know by writing to us at Cyberguy.com.
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Technology
You need to listen to Sudan Archives’ violin opus for the club
My introduction to Sudan Archives was the song “Nont for Sale” from her first EP Sink in 2018. I’ve been a die-hard fan ever since. With each album, she finds new ways to sculpt the sound of her violin, contorting it in defiance of expectations.
Athena found her in conversation with it, leaving its timbre largely recognizable and organic, veering from experimental pop to more ambient passages. Natural Brown Prom Queen embraced the aesthetics of sound collage, samples, and modern R&B, blending her violin with more expressly electronic elements. The BPM has identifiable violin passages, but it fully embraces the more technological elements of Sudan Archives’ sound.
The album opens with “Dead,” which begins with gentle orchestral swells and a processed, but identifiable violin. Then, at the 1:30 mark, the beat drops — what sounds like high-pitched vocal chops dance around the stereo field, and an undulating synth bass drags he whole thing to the dance floor. The track serves as something of a mission statement, with multiple movements exploring the various incarnations of Archives’ sound as she asks, “Where my old self at? Where my nеw self at?” answering herself by chanting “right here, right hеre” in response to each.
What follows is a volatile tour of dance music, from the four-on-the-floor funk of “My Type,” to the trap-tinged tongue-in-cheek sex raps of “Ms. Pac Man” — there’s even an Irish jig in the middle of “She Got Pain.” Across the record, there are flashes of autotune, drum ’n’ bass breaks, house piano stabs, techno synth bass, and, of course, soaring violin flourishes. Often, there are multiple of these things in a single track as Archives eschews typical pop song structures, bouncing giddily from one style to the next.
Unsurprisingly, the tempo on The BPM is generally amped up compared to much of Archive’s previous records. But it’s not all club bangers. “Come and Find You,” winks at 80s and early 90s R&B of acts like Sade. And often the lyrics turn to matters of the heart, “I found a way to travel to you even when we’re not in sync, I’m gonna find my way back to you, Even when it’s really hard I like the push and pull,” she sings on “David & Goliath.”
The BPM is a dense, hectic record that revels in its unpredictability and sonic shrapnel. It’s also my favorite record of 2025. Despite only coming out in mid-October, it was my most listened to album according to my Apple Music Recap. Sudan Archives The BPM is available on Bandcamp and most streaming services, including Qobuz, Tidal, Apple Music, Deezer, YouTube Music, and Spotify.
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