News

Everdome Announces First-Ever Metaverse Soundtrack

The interplanetary metaverse project has revealed the opening single from the world’s first metaverse-specific soundtrack.

Published

4 years ago

October 21, 2022

Nour Nasir

Everdome

Created in tandem with music composer Wojciech Urbański, a single called “Machine Phoenix” is being released today which forms part of the first-ever metaverse-specific soundtrack.

The project is called the “Everdome Original Metaverse Soundtrack”. It will give a unique atmosphere and background ambiance to Everdome’s hyper-realistic landscape, which is based on a future Mars settlement, using blockchain and VR technology.

Wojciech Urbański is a gifted composer with a portfolio of award-winning tracks that have been used by the likes of Netflix and Canal+. Wojciech’s Spotify community currently comprises over 600,000 monthly listeners, while overall, his tracks have been played more than 50 million times. The Everdome project hopes to use the composer’s talents to add drama to its hyper-realistic storytelling and visuals.

“Creating a musical illustration of the cosmos and space exploration is probably a dream held by every composer. This collaboration is for me a great artistic opportunity, as the setting of an immersive metaverse world permits the use of a very wide range of sounds and tools,” says Wojciech Urbański.

Metaverse users will hear Wojciech’s work as they launch from Everdome’s virtual Hatta spaceport to the Mars Cycler, situated in Earth’s lower orbit, with the musical collaboration evoking a similar atmosphere to Harry Gregson-Williams’ soundtrack for “The Martian” or Hans Zimmer’s “Dune”.

Also Read: Bedu Has Built A Metaverse Of The UAE’s Planned Mars Trip

As well as partnering with Wojciech Urbański, Everdome is also utilizing the talents of Michał Fojcik, a sound supervisor and designer who has worked on blockbusters including X-Men: Dark Phoenix and Solo. A Star Wars Story.

“Building a sonic background for a metaverse experience is a uniquely challenging task. In the absence of true forms of touch or smell, the visual and the sonic take on huge levels of importance if the experience is to be considered truly hyper-realistic,” says Michał Fojcik, sound supervisor and advisor.

Both artists will be dedicated to the creation of a sonic soundscape that will significantly enhance the quality of Everdome’s storytelling, and you can hear the first single from their collaboration, “Machine Phoenix”, on all major music distribution platforms, including Spotify, Anghami, and YouTube from today.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.