Key Takeaways
- Security researcher Log4j reverse-engineered Samsung Smart TV software and found a region-specific convolutional neural network running locally on the device.
- The on-device neural network monitors user behavior within third-party apps like YouTube, logging specific videos watched, playback completion, and skipped ads.
- Code for facial recognition was identified inside the tracking firmware, raising questions about whether the system identifies on-screen talent or viewers in the room.
- Founders and hardware makers have an opening in 2026 to sell high-end display panels stripped of operating systems, mandatory updates, and telemetry.
The Neural Network Running on Your Living Room Wall
Most consumers assume a television operates as a passive display. At worst, people expect standard ad tracking tied to account logins or IP addresses. The reality inside modern hardware is far more aggressive.
On a recent episode of TBPN, John Coogan and Jordi Hays discussed technical findings from security researcher Log4j, who dug into Samsung Smart TV system code. Log4j discovered that Samsung loads a region-specific convolutional neural network directly on the television. This model does not sit idle waiting for system menus; it actively tracks user behavior inside streaming software.
“Samsung TV loads a region specific convolutional neural network which tracks your usage in the app,” Coogan explained. “Like in YouTube, it's looking for videos you watch, ads you skip, progress in a video.”
Even more startling was the presence of facial recognition logic within the TV firmware. Coogan noted that the code appears designed to identify content on the glass, such as verifying whether a viewer is watching MrBeast. Yet the ambiguity remains troubling. As Coogan put it: “Seems like it's watching to see who's watching.”
Television makers have spent a decade quietly converting consumer hardware into automated surveillance apparatuses. Because TVs sit outside the direct scrutiny applied to mobile operating systems like iOS and Android, manufacturers have had free rein to embed surveillance systems without consumer pushback.
The Hardware Subsidy Trap and the Dumb Screen Backlash
Hardware companies adopted this playbook because display panels are a commodity with collapsing margins. To keep retail prices artificially low, manufacturers turned the television into a permanent advertising surface. The television set is no longer the final product; the viewer's second-by-second attention data is.
“Everything is ad supported,” Hays observed. “Everything is spyware and calling home and listening to you. And it's all very annoying.”
This architecture degrades the actual hardware experience. Smart TVs ship with cheap system-on-a-chip processors that choke on basic menu navigation. Users face sluggish input response, constant firmware updates, and unskippable system-level banner ads. Coogan noted that even tech founders like Palmer Luckey have voiced open frustration with the state of consumer televisions, particularly the endless update loops and stuttering performance.
“At the high level, I love the idea of getting a dumb TV in 2026,” Coogan said. “The smart TVs, we've complained about them a ton. Palmer Luckey's complained about them. They're slow. You always have to update them.”
When every incumbent races to turn their hardware into an advertising billboard, they abandon customers who simply want clean utility. Buyers already bypass native TV operating systems by plugging in dedicated streaming boxes or game consoles. The opportunity to strip away the bloat and sell a pure, reliable panel has never been clearer.
What to Do With This
Audit your product's telemetry footprint before your customers do it for you. If you build hardware or client-side software, list every background network call your application makes during a typical session, and remove every tracking script that does not directly improve core reliability. Ship an obvious off switch for data collection so your users never feel like their own purchases are working against them.