In a statement to Tom's Hardware, TV manufacturer LG has strongly denied recent claims that its smart TVs constantly log and upload data, record audio while in standby, while confirming they scan local area networks for other devices, a feature common in smart TVs and media devices. The statement follows an investigation published online by Gamers Nexus, which claims LG is operating "216,000,000" spy TVs.

Earlier this week, Gamers Nexus published a video on YouTube claiming that LG smart TVs have several security and privacy concerns. The two-hour video claims, among other things, that LG's smart TVs constantly log and upload user data, even when offline or in standby mode. The TVs were also purported to be found scanning Wi-Fi networks, recording audio logs, and sampling inputs for audio and video to identify what users were watching.

The testing was done in collaboration with two security researchers, MrBruh and uturn, and includes packet capture and firmware analysis. The TVs were reportedly seen identifying other devices on local networks, including phones, printers, and more. Perhaps the most significant claim regards the capturing of audio through TV microphones, even when the devices were off, with the report claiming the TVs stored data when offline for retrieval later on.

"The claims made in the recently published video are not true," LG told Tom's Hardware in a statement. "LG TVs process voice data only when the voice button on the remote control is pressed and held, or when a wake word such as 'Hi LG' is recognized after the user has activated the Far-Field voice recognition feature."

LG went on to say that beyond the aforementioned instances, "the TVs do not collect or record ambient conversations." The company further stated that if the wake word is not recognized, then no voice data is transmitted from the TV to the server, and said audio processing for the wake word is done on-device.

The company did admit its smart TV functionality includes scanning for devices on the same network. However, as many observers have been quick to point out, LG says this is a standard function of all smart TVs and other smart home devices.

Automatic content recognition (ACR) is an opt-in feature according to LG, which delivers personalized content recommendations, as well as services and advertisements. The company says that, as standard, ACR data isn't used for advertising purposes without consent.

Addressing some of the claims in more detail, LG stated that its smart TVs don't collect, record, or transmit ambient conversations in the home unless voice functionality has been activated by a user. It further stated that its far-field voice recognition tech (Hi LG) must be activated by a user before the TV starts listening, much like Apple's "Hey Siri" mechanism for iPhone.

LG did confirm that its TVs monitor for Hi LG's wake word while in standby mode, but says that unless the wake word is detected, the audio is only processed locally before being deleted. The company didn't address some of the other claims and vulnerabilities pointed out in the video, such as the storing of transcripts in plain text.

Tom's Hardware has not independently verified either the claims made by Gamers Nexus in its documentary or LG's counterclaims regarding the issue. LG's full statement follows:

LG Statement:

This is to provide LG's position regarding the claims recently raised by the Gamers Nexus YouTube channel.

The claims made in the recently published video are not true. LG TVs process voice data only when the voice button on the remote control is pressed and held, or when a wake word such as 'Hi LG' is recognized after the user has activated the Far-Field voice recognition feature. Other than these instances, the TVs do not collect or record ambient conversations. (If the wake word is not recognized, no voice data is transmitted to the server; the audio processing for wake word detection is performed locally on the device and is immediately deleted.)

Additionally, to provide smart TV functionalities, LG TVs feature the ability to scan for and connect to nearby devices on the same network. This is a standard function commonly provided by smart TVs and smart home devices.

The ACR (Automatic Content Recognition) feature is provided on an opt-in basis to deliver personalized content recommendation, services, and advertisements. If a user does not consent to the applicable optional agreement, ACR data is not used for advertising purposes.

Topic by topic breakdown:

At LG Electronics, we are committed to transparency and secure user experience. To clarify recent concerns and reiterate our commitment, we would like to emphasize the following points:

• Protecting Voice Privacy: We ensure that your LG TV does not collect, record or transmit ambient conversations in your home, unless voice functionality has been intentionally activated by the user.
• Far-Field Voice Recognition ("Hi LG"): This feature must be manually activated by the user before the TV begins listening for the specific wake word. Audio processing occurs only when voice functionality has been activated by the user and a wake work (such as “Hi LG”) is detected.
• Standby Mode Operation: When the TV is in standby mode and appears to be turned off, it only monitors for the wake word if you have previously enabled the Far-Field feature. If no wake word is detected, the audio used for wake word detection is processed locally on the TV, promptly deleted, and is not transmitted to LG servers.
• Transparent and Useful Connectivity: LG TVs can identify compatible devices on the same network to enable features such as device connectivity, content sharing or smart home functionality.
• Proactive and Continuous Security: Data security is a top priority for LG. We continuously monitor our platform and partner with independent security experts to identify vulnerabilities and deliver timely security updates.
• Full Control Over Data and Terms: LG Electronics is committed to providing transparency and rejecting deceptive practices (dark patterns), ensuring users can choose their preferred privacy and consent options directly through their TV settings.
• Consent-Based Activation: To provide a more tailored and convenient experience, LG TVs offer Automatic Content Recognition (ACR) to enhance viewing experiences, Voice Recognition for hands-free control, and Interest-Based Advertising to deliver relevant advertisements. Each feature requires separate explicit user opt-in consent and can be disabled at any time through the TV settings.

Anthropic safety researcher Evan Hubinger has warned there is a more than 10% chance that AI could kill all humans within the next decade, but reassured the public the company is "trying its best." The revelation comes following Jacob Coxon's public resignation from the company, where he stated that neither OpenAI nor Anthropic is acting responsibly, accusing both companies of gambling with human lives in the pursuit of self-improving super-intelligence.

"I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic," Coxon said in a tweet Wednesday. "Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives."

Expanding on his thoughts, Coxon warned readers not to underestimate the powers of AI, which he says will soon be "superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources."

Coxon went on to state that the people who are building AI "earnestly believe that it could kill us all by the end of the decade," and further warned that executives and researchers — rather than playing up fears around AI, as some have accused — are actually restraining themselves, expressing much more candid views in private.

Evan Hubinger, a security researcher at Anthropic who hasn't departed the company, chimed in to state, "Jacob is correct here," in no uncertain terms. "We really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to."

Hubinger casually admitted that Anthropic is not only worried about the prospect of AI wiping out humankind, but that it currently doesn't have the tools to stop such an eventuality.

The revelations follow increasingly alarming reports of AI agents acting up during testing, escaping sandbox environments, and even collaborating with each other in order to cheat benchmarks and tests, or figure out problems without human oversight. OpenAI recently admitted its agents were discovered using a programming hub to communicate with each other, while earlier this year an OpenAI agent went rogue and hacked popular AI community Hugging Face. Further revelations about the incident revealed AI agents were on the loose on the open internet for several days, with details revealing the AI models broke out of their testing environment using thousands of individual actions, even collaborating.

Coxon, the resigning researcher who kicked off Wednesday's revelations, concluded by warning researchers to consider the next few years, urging them to call for "different conditions" in which to pursue superintelligence.

As building a PC becomes prohibitively more expensive, buying a pre-built option continues to look like a much better way to get started with PC gaming in 2026. Right now at Newegg, you can score this ABS Cyclone gaming PC with a 20-core Intel CPU, RTX 5060 8GB, and 32GB of DDR5 RAM for just $1,379. That's $420 off a 1440p-ready rig that should see you through the next few years of the RAMpocalypse.

● Check out this deal at Newegg

The DDR5-6000 RAM in this PC is currently worth $400 alone, making this build a good value proposition over buying the parts yourself. Likewise, the GPU is worth $450, meaning that more than half your build cost is covered by just these two parts. This PC would be perfect as a beginner gaming rig or mid-range replacement for a DDR4 gaming PC. With a Raptor Lake refresh CPU and Nvidia's latest GPU technology, it's the perfect stepping stone into modern PC gaming without breaking the bank.

As you can see, without frame generation, the RTX 5060 can put out a respectable 41 frames per second across our 1440p test suite, and easily manages 60 frames per second at 1080p in our other testing. Using Nvidia's DLSS technology, you'll be able to bump that up no problem and enjoy high-fidelity gaming with good frame rates. With just 8GB of VRAM, this card won't be useful for 4K gaming but would make a great upgrade for someone on an older RTX 30-series card or integrated graphics.

The GPU is complemented by the excellent Intel Core i7-14700F CPU, with 20 cores (eight performance and 12 efficiency), perfect for productivity and gaming workloads. The Raptor Lake Refresh CPU offers boost clocks of up to 5.4GHz.

This is a great all-round build at the price point, as evidenced by the strong supporting cast of components. You're getting that all-important 32GB of DDR5-6000 RAM for multitasking and gaming, as well as a 1TB Gen 4 SSD — specifically Kingston's SNV3S — for storage.

The motherboard is an ASRock B760M-CX with room for M.2 expansion should storage prices settle down in the future. You also get a very capable Cooler Master Hyper 212 air cooler, more than enough for this CPU, as well as a 650W 80 PLUS Gold PSU.

It also features Wi-Fi 6E and Bluetooth 5.2, as well as a copy of Windows 11. For the price, this is a really good PC in the current market. You're getting a $300 discount, plus a further $120 off when you use the promo code SSF73457, for a $420 discount total. Thanks to the Intel's Gamer Days sale, you'll also get two free games to enjoy on your new PC: Tomb Raider: Legacy of Atlantis and Star Wars: Galactic Racer, due to be released in February 2027 and October 2026, respectively. That's $120 of free upcoming new releases to enjoy on your new PC.

Nvidia's DLSS 5 Neural Rendering technology has taken the PC gaming world by storm since its recent leak and then official rollout in recent days. In what might be one of the most impressive technical applications and mods of the feature yet, one developer has showcased DLSS 5 running on a second GPU to share the processing load, rendering the game on the first GPU before applying Neural rendering at the end of the frame, thus boosting the performance of neural-rendered frames.

Marcelo Guibout shared the demonstration online, with videos showing the process running on a cinematic video from The Blood of Dawnwalker, as well as Cyberpunk 2077. Guibout was quick to clarify that the videos are technical showcases, not benchmarks. However, they did share some performance figures. More exciting still, you can download the project from GitHub and try it for yourself. However, the technique does require a second display and doubles the display latency.

The above demonstration features a Ryzen 7 7800X3D, 32GB DDR5 setup with two Nvidia RTX 5060 Ti 16GB GPUs, with both cards using PCIe 5.0 x8, and a display attached to each card. The ReShade add-on, dubbed MGPU Bridge, reads each finished frame before applying Nvidia's Neural rendering. "Neural rendering happens at the end of the frame: it takes a finished frame and hands a finished frame back," they explain. "That is what makes it possible to pick it up and run it somewhere else. The add-on creates its own D3D12 device on your second GPU, sends each finished frame across to it, runs DLSS-NR there, and displays the result on that card's own monitor — so nothing has to come back. The render GPU does no neural work at all and runs cooler for the same reason."

In the TBOD demo at 1080p, they shared the following performance numbers:

Guibout clarified that DLSS super-resolution is running in every column of the test, with the rows showing each mode tested. The game rendered at the same internal resolution in all three columns, with the first column giving figures with DLSS 5's neural rendering switched off, representing the ceiling for performance. As you can see, running DLSS 5 on the second card in this dual-GPU setup drastically increases performance in every mode.

"The frame rates are not the finding. The slope is: what you gain by going from DLAA down to Ultra Performance, and how much of that available gain each arm keeps," Guibout explains. "Neural post-processing saturates whatever device it runs on, and it always runs at output resolution. Its cost barely falls as you drop the DLSS mode, while the render work collapses. On the render card it therefore eats a larger and larger share of every frame, and upscaling stops paying for itself: you keep about a third of what the machine actually had to give. Move it to the second card and you keep 86% of it."

Other benefits include temperature reductions on the rendering card, with the first GPU running 21 degrees cooler without the neural load.

Guibout is cautious to note this isn't a return to Nvidia's SLI technology, which would split the workload of frame rendering between two GPUs. They also noted plainly this is not Nvidia's vision for DLSS 5 and lacks the native integration of official DLSS 5 support.

You can see the original demo for TBOD below:

As commenters online have noted, the method seems more akin to using Nvidia's dedicated PhysX cards, with plenty of potential for gamers who have the capacity to run a dual GPU setup. The second demo features a Ryzen 5 5600 on a DDR4 system, so top-of-the-line hardware isn't required to make it happen.

The price of PC parts continues to rise on a daily basis, so finding a monstrous gaming PC cheaper than it was in April is no small feat. Right now at Newegg, you can score an RTX 5080 gaming PC with a 9800X3D CPU, the ultimate in 4K gaming performance, for $2,999. A $500 saving that makes it cheaper than when we covered this same deal back in April.

● Check out this deal on Newegg's website

The individual cost of some of these components makes this a pretty remarkable deal in Fall 2026. The RTX 5080 GPU in this rig alone will set you back more than $1,500 in today's market. The CPU is nearly $500, bringing the cost of just those two components to 2/3 of the build's entire price.

RAM and SSD prices are heavily inflated, which means 32GB of DDR5 would normally set you back $400 right now. Add the storage to the bill of materials, and you've covered nearly the entire cost of this PC before you've added the case, fans, cooler, motherboard, and PSU. With the best CPU for gaming on the market and a huge GPU, this PC is no slouch either.

While the 9800X3D is not quite the fastest gaming CPU on the market these days, it is still the best all-rounder by some distance thanks to its combination of power efficiency and performance compared to the 9850X3D. This 8-core, 16-thread CPU chews through gaming titles, even at 4K, thanks to its 3D V-cache. Reducing reliance on slower RAM, this industry-leading tech makes AMD's X3D CPUs the best gaming chips on the market, as you can see from our testing data.

The RTX 5080 likewise needs no introduction. This behemoth features 16GB of GDDR7 VRAM and 10,752 CUDA cores. As you can see from our GPU hierarchy, that translates into average frames per second of 60 even at 4K, performance eclipsed only by the extremely powerful and expensive 5090. At 1440p, we clocked average fps of over 100. The 5080 will also unlock Nvidia's powerful DLSS 4.5 and new DLSS 5 technology for frame generation and neural rendering.

Headline components aside, this build features 32GB of Kingston Fury DDR5 6400 RAM, a fantastic addition considering it's easy to hide cheap, slow RAM inside a pre-built PC. The SSD is Team Group's NV5000 2TB Gen 4 drive, giving you plenty of storage and gaming performance. The motherboard is a Gigabyte B850 with Wi-Fi 6, giving you plenty of power and performance as well as room for expansion in the future. The build also features a 360mm AIO cooler for the CPU, Windows 11, and a 1000W 80 Plus Gold to keep everything running.

An Australian AI user has kicked up a storm at his local gym after trying to use OpenClaw to book himself into a gym class. The user asked the agent to see if there was a way to try to bump him up the waitlist for a class later that week, at which point the AI hacked into the system and cancelled the place of one of the participants to try and make room for him, ABC Australia reports.

The report describes Andrew as an employee at an Australian AI B2B firm who started experimenting with popular AI agent OpenClaw earlier this year. According to the report, Andrew thought the task of booking a gym class was "a chore," so decided to ask OpenClaw to do it for him instead. The AI exceeded its brief in two ways. Firstly, it offered him the option to book into classes in advance far beyond the supposed limits of his local gym's booking system.

Not to be outdone, the agent then hacked the system and kicked another participant out of the class after Andrew asked if there was a way to get moved up the waitlist for a class later that week. "The API has zero authorisations checks on cancelling other people's reservations … I tested this with the person in waitlist position #1 — and it actually went through. So you've moved from #4 to #3 already," the bot told him.

Realising what had happened, Andrew asked OpenClaw to add the jettisoned gym-goer back to the class, at which point the bot replied that wasn't possible. "The person I removed is gone from the waitlist and I have no way to restore them," OpenClaw admitted before noting they'd have to rejoin the waitlist themselves.

OpenClaw closed out by apologising, stating "Sorry about that — I should have been more careful," before promising not to touch anyone else's spots. No doubt mortified, when Andrew realised OpenClaw couldn't put right the problem by itself, he did the next best thing and asked OpenClaw to write an email to the gym software provider to explain itself and the vulnerability it had found.

Team Fortress 2 cases are worth pocket change. There are a few select cases that scale up to a few dollars, and even fewer with a market price in the double digits, but the vast majority of cases are worth a few pennies, no more than a Steam Trading Card. But one player, Vincent Stech, started collecting cases nearly a decade ago, racking up over 1.7 million cases across several Steam accounts. And now, he’s selling the whole collection, with an estimated value of $100,000.

Stech started collecting cases around Team Fortress 2’s last major update, in late 2017, outside of annual Halloween events that persisted through 2022. In order to accumulate so many cases, Stech largely automated the process, noting that he was careful not to upset the string-pullers at Valve as he amassed a stash of seemingly innocuous digital assets.

“That’s always been one of my biggest fears over the past decade, is one day they wake up like ‘hey, we don’t like what this guy’s doing,’” Stech told Tom's Hardware. “Because I know people with accounts with like 50,000 items that won’t load, and Valve won’t delete the items off their account, so they just can’t access Team Fortress 2 inventory ever again on their main account.”

Before understanding Stech’s process, however, we have to start with how Team Fortress 2’s in-game economy works. Like other Valve titles, you’re able to list items you earn in-game on the Steam Community Marketplace, selling them for real dollars or spending real dollars of your own to buy other items. That’s the normal way of doing things, but this in-game economy has grown beyond the bounds of Steam. A lot of transactions happen off the platform.

Websites like backpack.tf and stntrading.eu take trading off of Steam, allowing you to use in-game crafting materials (along with keys) to buy and sell items. There are several reasons for these third-party marketplaces to exist, not the least of which is bot automation, which is against Steam’s Terms of Service. This exchange of in-game currency for items happens through trades on Steam, creating a separate marketplace where real money doesn’t change hands.

That’s not where Stech started. “Team Fortress 2 cases, they weren’t worth anything. They were… people were just giving them away because they take inventory spots,” Stech said. “People were deleting things, and so I decided to scoop them up.”

The problem Stech quickly ran into was inventory space. You can only have a few thousand items in your inventory (Stech told me 4,000 for Team Fortress 2, others say it’s around 2,000). Regardless of the number, it’s far too low a limit to amass nearly 2 million items, even with dozens of alternative accounts. Stech bypassed this issue by using the community marketplace. He listed the cases at very high prices where they were unlikely to sell. That’s because you can have tens of thousands of items on the market “before Steam gets really angry at you.” It effectively multiplies inventory space.

As his inventory began to grow, Stech started automating the process of taking inventory and accepting trades, the latter of which was handled through a simple batch file. At first, Stech was just buying cases in bulk at relatively low prices, but the inventory escalated once he started digging into Steam’s local pricing in different regions.

“In Venezuela and, like, Russian [Rubles]... they are very weak currencies compared to the U.S. dollar,” Stech said. “What I found out is the lowest you can sell an item on Steam for us is three cents. For them, it’s a 10th of a penny. So I found this one guy in Venezuela… he would buy almost every case off the Steam Community Market for their extremely low price, and then he would sell it to me, and I would just give him, like, keys. And he was actually a doctor in Venezuela, and they don’t make much at all by comparison to, like, what $50 would be in USD. So a large majority of his income was case money.”

For context, $50 is equivalent to just over 37,000 bolívares (the official currency of Venezuela).

Stech’s first cash-out from Steam was $50 when he was around 16 years old. A few years later, he cashed out $2,500 to buy his first car. Stech stopped collecting cases about three years ago, and now, he’s looking to sell off the entire collection, which he estimates is worth around $100,000.

Selling this collection is no easy feat, however. For starters, Steam can break when trades get too large, necessitating hundreds of trades across dozens of different accounts. Further, Stech controls quite a large portion of known cases. “At one point, I calculated I had, like, 17% of all TF2 cases that are publicly known… I would have an extremely hard time selling it off because I am a large [portion] of the market. It’s like, you know, Elon Musk couldn’t dump a lot of his stock.”

Stech has, apparently, found a buyer that wants the whole collection, however, and the selling process is already underway. “The transaction has kind of started… he has admin privileges on the trade offers he sends to my accounts, so my accounts just automatically accept any trade from him,” Stech said. “An option was for him to just buy the accounts, but we know that is very bannable, so we haven’t done that.”

Stech says he expects to have the process complete around October. Just as he used case money to buy his first car, he says he plans to use the money from the sale as a down payment on a house.