Epic Games is about to host big in-game event ahead of its next throwback season — and it could be pretty musical.

If you want to watch the event, here’s what you need to know.

The Remix: The Prelude event is set to kick off at 6:30PM ET / 3:30PM PT. Epic suggests logging in early so that you don’t miss the event; events have reached capacity in the past.

If you’re in the game, jump into a Battle Royale or Zero Build match ahead of the event’s start time and head to the Restored Reels location.

If you aren’t able to watch in-game, there will almost certainly be a bunch of streamers live-streaming the show, so check Twitch or YouTube to find one to watch.

Cybercriminals are attacking surveillance cameras from multiple manufacturers, leveraging two zero-day vulnerabilities to take over the endpoints, watch and manipulate the feeds, and more.

Cybersecurity researchers GreyNoise claim to have spotted the attacks after their AI-powered analysis tool Sift raised an alarm that crooks are attacking network device interface-enabled (NDI) pan-tilt-zoom (PTZ) cameras from multiple manufacturers.

You haven’t fully shopped the best headphone deals until you’ve had a look at everything Beats has to offer. It’s one of the most popular headphone brands on the planet, but unlike Bose headphone deals and even Sony headphone deals, Beats headphone deals often turn out some significant price drops. Whether you’re looking for an in-ear option or a set of the best wireless headphones Beats has you covered, and we’ve got you covered when it comes to the check-out line. Below you’ll find all of the best Beats headphone deals. They include some substantial discounts on the Beats Studio 3 and Powerbeats Pro headphones, but if you’d like to consider some other options be sure to check out what’s going on among today’s best AirPods deals, best AirPods Pro deals, and best AirPods Max deals.

Best Beats earbuds deals

If you want to go for a pair of true wireless earbuds there are quite a few good options from Beats. There are some excellent deals on budget options, including some deals on refurbished Beats Studio Buds. One of the higher end options is the Beats Powerbeats Pro, which are seeing a great price drop right now.

• — $50 $70 29% off
• — $100 $150 33% off
• — $150 $170 12% off
• — $160 $200 20% off

Best Beats headphone deals

If over-the-ear headphones are your listening preference, there’s plenty of savings in store on a new set of Beats. The Beats Solo 3 headphones are pretty much a regular when it comes to Beats deals, and that’s the case right now as well. You’ll also find some pretty impressive price drops on the Beats Studio 3 and Beats Studio Pro headphones.

• — $100 $200 50% off
• — $132 $200 34% off
• — $158 $300 47% off
• — $159 $350 55% off
• — $170 $350 51% off

Should you buy Beats or AirPods?

What it all boils down to when picking either AirPods or Beats is what your budget is. In almost every straight comparison between an AirPods product or a Beats product, the AirPods will always win, like for example, when comparing the Studio Pro vs. Apple AirPods Max. That said, the AirPods Max is a couple of hundred dollars more expensive, and this will hold true of pretty much all AirPods to Beats comparisons. So, ultimately, if you can afford an AirPod, that’s generally the better audio quality, but if you feel that it’s out of your budget range, the Beats are cheaper and are essentially just as good.

Move over, ChatGPT, you’re not the only chatbot to invade the PC space! Just a few months after OpenAI released its desktop application, another California-based AI company followed suit. Anthropic launched the official Claude desktop app. It’s available for Windows and Mac.

In case you don’t know what Claude is, it’s one of the major competitors to ChatGPT and Gemini. Just like those two platforms, Claude has different models of varying capabilities. There’s the Sonnet model and the Haiku model. You can use the former model for free on the dedicated website. Haiku, on the other hand, requires a paid membership.

Claude now has a desktop app

Just recently, Anthropic announced that Claude now has the ability to perform actions on your computer by itself. Well, the desktop app doesn’t grant Claude that ability. What it does is give users a quick and easy way to access the chatbot. Just like the smartphone app, it provides a simple interface that lets you use the chatbot.

Claude’s interface isn’t very different from most other chatbot interfaces. The star of the show is the text field. You’ll see your conversation fill the screen as you write.

If you don’t have anything in the text field, you’ll see various other UI elements floating around. Right under the text field, you’ll see your recent conversations. The app will show up to six recent conversations unless you click on the View all button.

In between the text field and the recent conversations, you’ll see recent updates and news regarding Claude. Each bit of news will sit in a rounded rectangular button, and they’ll be stacked on one another. If you click on one of them, then you’ll be taken to a webpage on your default browser.

Just like most other chatbots, there’s a panel on the left of the screen that will list your recent conversations and let you access your account settings. To see your account settings, click on your name at the bottom of the panel.

Up top, you’ll see the menu that will have the File, Edit, View, and Help sections (if you’re using the Windows application). Clicking on the Settings button from the File menu will let you change the keyboard shortcut. This shortcut will summon a little floating text field.

The application is available for free. You’ll have to sign in to use it, but you’ll be able to use it even if you’re a free user.

There’s a new Star Wars show coming out in just over a month. Star Wars: Skeleton Crew premieres on December 3 with two episodes on Disney+. The streamer just released a brand-new trailer to prove it.

For the uninitiated, this is a live action show set during the same time period as and , or around ten years after the events of Return of the Jedi. We don’t know too much about the plot, other than it involves some suburban kids finding a spaceship and going on an adventure.

If that reminds you of some classic flicks from the 1980s, you aren’t alone. The whole thing seems to be an homage to Steven Spielberg, Amblin and the vast array of kid-friendly adventures from that decade. People have been calling it “Goonies in space,” but a more modern reference would be “Stranger Things in space.”

The trailer also showcases one of the things I’m personally most interested in with this show. Some of it is set in settled planets, likely core worlds such as Coruscant. There are suburban neighborhoods and schools. There are people going to work. We haven’t gotten many looks as to how regular people live in a galaxy far, far away. That’s my jam, right there.

The showrunners here are Jon Watts and Christopher Ford, who made the recent Spider-Man movies for the MCU. The cast is primarily composed of unknown kids, including an elephant alien who may or may not be related to Mos Espa band leader Max Rebo. However, Jude Law is in it. He’s likely playing a Jedi, though there could be a twist there.

While many existing risks and controls can apply to generative AI, the groundbreaking technology has many nuances that require new tactics, as well. 

Models are susceptible to hallucinations, or the production of inaccurate content. Other risks include the leaking of sensitive data via a model’s output, tainting of models that can allow for prompt manipulation and biases as a consequence of poor training data selection or insufficiently well-controlled fine-tuning and training. 

Ultimately, conventional cyber detection and response needs to be expanded to monitor for AI abuses — and AI should conversely be used for defensive advantage, said Phil Venables, CISO of Google Cloud.

“The secure, safe and trusted use of AI encompasses a set of techniques that many teams have not historically brought together,” Venables noted in a virtual session at the recent Cloud Security Alliance Global AI Symposium.

Lessons learned at Google Cloud

Venables argued for the importance of delivering controls and common frameworks so that every AI instance or deployment does not start all over again from scratch. 

“Remember that the problem is an end-to-end business process or mission objective, not just a technical problem in the environment,” he said. 

Nearly everyone by now is familiar with many of the risks associated with the potential abuse of training data and fine-tuned data. “Mitigating the risks of data poisoning is vital, as is ensuring the appropriateness of the data for other risks,” said Venables. 

Importantly, enterprises should ensure that data used for training and tuning is sanitized and protected and that the lineage or provenance of that data is maintained with “strong integrity.”

“Now, obviously, you can’t just wish this were true,” Venables acknowledged. “You have to actually do the work to curate and track the use of data.”

This requires implementing specific controls and tools with security built in that act together to deliver model training, fine-tuning and testing. This is particularly important to assure that models are not tampered with, either in the software, the weights or any of their other parameters, Venables noted. 

“If we don’t take care of this, we expose ourselves to multiple different flavors of backdoor risks that can compromise the security and safety of the deployed business or mission process,” he said. 

Filtering to fight against prompt injection

Another big issue is model abuse from outsiders. Models may be tainted through training data or other parameters that get them to behave against broader controls, said Venables. This could include adversarial tactics such as prompt manipulation and subversion. 

Venables pointed out that there are plenty of examples of people manipulating prompts both directly and indirectly to cause unintended outcomes in the face of “naively defended, or flat-out unprotected models.” 

This could be text embedded in images or other inputs in single or multimodal models, with problematic prompts “perturbing the output.”

“Much of the headline-grabbing attention is triggering on unsafe content generation, some of this can be quite amusing,” said Venables.

It’s important to ensure that inputs are filtered for a range of trust, safety and security goals, he said. This should include “pervasive logging” and observability, as well as strong access control controls that are maintained on models, code, data and test data, as well. 

“The test data can influence model behavior in interesting and potentially risky ways,” said Venables. 

Controlling the output, as well

Users getting models to misbehave is indicative of the need to manage not just the input, but the output, as well, Venables pointed out. Enterprises can create filters and outbound controls — or “circuit breakers” —around how a model can manipulate data, or actuate physical processes. 

“It’s not just adversarial-driven behavior, but also accidental model behavior,” said Venables. 

Organizations should monitor for and address software vulnerabilities in the supporting infrastructure itself, Venables advised. End-to-end platforms can control the data and the software lifecycle and help manage the operational risk of AI integration into business and mission-critical processes and applications. 

“Ultimately here it’s about mitigating the operational risks of the actions of the model’s output, in essence, to control the agent behavior, to provide defensive depth of unintended actions,” said Venables. 

He recommended sandboxing and enforcing the least privilege for all AI applications. Models should be governed and protected and tightly shielded through independent monitoring API filters or constructs to validate and regulate behavior. Applications should also be run in lockdown loads and enterprises need to focus on observability and logging actions. 

In the end, “it’s all about sanitizing, protecting, governing your training, tuning and test data. It’s about enforcing strong access controls on the models, the data, the software and the deployed infrastructure. It’s about filtering inputs and outputs to and from those models, then finally making sure you’re sandboxing more use and applications in some risk and control framework that provides defense in depth.”