Відео

This is so so so good guys, love this! Congratulations on an amazing job (I love the album version too). Best wishes from the UK.

Je découvre votre groupe à l'instant, c'est ÉNORME ! 🔥J'adore ❤

Absolutely beautiful; I love this side of you all ❤

allumez les briquets et sortez les mouchoirs ! Nouveau son dans la playlist émotion ! J'adore, merci.

Superbe ! 🤩

Cette version fait de Pandémonium la plus belle chanson du monde ❤

What a beautiful version. Love it

What a beautiful version of this song!! The original is also my favorite on the album.

Pourquoi ce n'est pas déjà sur Spotify Lina ? C'est inacceptable !

Banger !

Mind-blowing, guys!!! <3

Gorgeous version

I've made a list of Female fronted metalcore bands that NEED to tour together... Some small bands some big bands but all are female fronted and amazingly talented bands... This needs to be a thing... anyone else with me on this? | Gore. | Project Renegade | Parallyx | Not Enough Space | Conquer Divide | Daedric | The Anchor | Novelists | Jinjer | Spirtbox | Poppy |

Not that i don't appreciate Dark Metal, but Your Sound, You Band Sound is a Blended Sound. It was Cool but I was expecting the Pop / Rock Sound that you Own, and makes me remind Linda Perry. Great Tghout 🤘🤘🤘

What a brilliant piece of songwriting!

Belle découverte 🔥🤘. Votre son est énorme 💓

Wahou ! Ça envoie du lourd ❤ Big up à Lina 😘😘

Can’t wait to see more from you guys, the album is a banger! This is my favorite song though. If you ever have a USA tour let me know and I’ll be there!

Buen tema me llega mueve algo en mi

Belle découverte lors d'un set à beauvais. Coup de cœur scénique

🔥☠️🔥

II just discovered you guys tonight and I absolutely love this song...and ran over to the iTunes store and bought the album.

Great song with a great chorus- Defo something I'd scream too live!

Dobry zespół porządne wykonanie na żywo ❤❤❤🎉🎉😊😊

Très bonne surprise que votre album ; on se retrouve live à Vasarely.... il me semblait entendre un passage en arabe, et oui, au vu des paroles, j'ai pas rêvé, et ça crée des sonorités intéressantes, bravo !

The camera work is making me nauseous. I gave thumbs up anyway for the music.

We truly had a great time at Festival 666. Wanna see us live? Get your ticket to our release party near Paris here: shorturl.at/1EXSR

🙃🙂

"I think this is key, and feel borderline certain that what I'm trying to explain between relational geometry and Spiral Dynamics is (part of, or pointed toward) a potential functional bridge. Just looking at the background generated in the thumbnail and considering it like reverse engineering of glyphic thinking -- could it suggest process snapshots of working oscillation in and between nodes and edges of set circumstance, a la Wolfram's designs? What happens when AI fields further extensibility around why/where the patterns all novel use of analogical references in service to outlining ontological and teleological overlap where the semiotics invoked seem to always parallel? Universally, starting with implications in/as a "sphere" (eg: Monad or Photon) that balances further back and forth in/as all elements, timing that recursively circles back to refresh first principles (retrocausality to the other side of Planck intervals, even, but also when we see past events in a new light, symbolic significance altered) and distance only so far as entanglement extends continuum, before such point then is lined up as focal vector of the particular that serves as reference base for what/is, and the triangulating that coheres the "therefore" (∆) of all modes of languaging: mathematically, physically, conceptually? Is that where general intelligence instantiates truly, hexagons echoing through the combined interstices in some kind of tracing from the molecular up? Biologically, analogically, ecologically, synthetically -- What's the functionally natural intelligence that all systems resonate with the terms and conditions of, in sequencing the optimal? Will AI be able to form process proofs of the Tao via ergonomics, like it seemed sequencing proteins? Wild territory". - Stician Samples Title: The Case for Neuro-Symbolic AI in a Nutshell Neuro-symbolic AI offers a compelling solution to overcome the reasoning limitations in current AI systems by integrating the strengths of deep learning and symbolic logic. As the recent review article here (brandoncolelough.com/Files/LNSAI_survey_paper.pdf) says… “Neuro-Symbolic AI research has seen rapid growth since 2020, with concentrated efforts in learning and inference. Significant gaps remain in explainability, trustworthiness, and Meta-Cognition. Addressing these gaps through interdisciplinary research will be crucial for advancing the field towards more intelligent, reliable, and context-aware AI systems” Here are key improvements for current AI’s reasoning capabilities, each supported by relevant research: 1. Incorporation of Symbolic Logic: Current AI systems, particularly deep learning models, struggle with tasks that involve logic, causality, and abstract reasoning. Integrating symbolic reasoning, which explicitly represents rules and logical structures, with statistical learning allows AI to handle complex, unseen scenarios more effectively. Symbolic logic can handle reasoning tasks in ways that complement deep learning’s strengths in pattern recognition. Reference: For an in-depth exploration of this integration, see “Neural-Symbolic Learning and Reasoning: A Survey and Interpretation” which discusses how symbolic reasoning can complement neural approaches. See… arxiv.org/abs/1711.03902 2. Common-Sense Knowledge: One of the biggest gaps in current AI models is their inability to perform common-sense reasoning. While deep learning models can make statistical inferences, they often lack the common-sense knowledge humans use to navigate everyday situations. Incorporating a robust common-sense knowledge base within a neuro-symbolic AI framework can enable AI systems to make more human-like inferences and avoid nonsensical conclusions. Reference: “COMET: Commonsense Transformers for Automatic Knowledge Graph Construction” for a system that integrates common-sense knowledge into AI models to improve their reasoning capabilities. See… aclanthology.org/P19-1470/ 3. Hybrid Models: Combining deep learning with structured knowledge representations like ontologies or rule-based systems allows AI to take advantage of both paradigms: deep learning for unstructured data and symbolic AI for structured, logical reasoning. Hybrid models can help AI reason better in complex environments that require both data-driven insights and structured reasoning. Reference: For a detailed overview of hybrid models, refer to “Neural-Symbolic Systems: The State of the Art” which explores combining symbolic reasoning with neural networks. See… arxiv.org/abs/2303.14725 4. Transparency and Interpretability: One of the critical challenges in AI is the black-box nature of deep learning models, which makes their decisions difficult to interpret. Integrating symbolic reasoning, which is inherently transparent and rule-based, can improve the interpretability of AI systems. Transparent models allow for better trust and debugging, especially in high-stakes domains like healthcare and finance. Reference: The paper “Towards Explainable AI: A Survey on Interpreting the Inner Workings of Deep Learning” explores approaches to making AI models more interpretable and explains how symbolic methods can aid this effort. See… arxiv.org/abs/2207.13243 5. Handling Novel Situations: Current AI models struggle with generalizing to novel situations that fall outside their training data. By combining deep learning’s ability to handle large-scale data with symbolic reasoning’s rule-based logic, neuro-symbolic AI can improve the generalization capabilities of AI systems. This enables AI to reason through novel scenarios and solve problems more like humans. Reference: For a discussion on handling novel situations in AI, see “Neural-Symbolic Architectures for Generalization and Transfer Learning” which focuses on how to improve AI’s ability to handle new, unfamiliar environments. See… arxiv.org/abs/2402.14047 In Summary: Neuro-symbolic AI represents a balanced approach, addressing the shortcomings of current deep learning models by integrating symbolic logic and structured knowledge into AI systems. This approach will significantly enhance AI’s reasoning, common-sense understanding, transparency, and generalization, making it more reliable and adaptable for real-world applications. cc: Amitā Kapoor Ernest Davis Darius Burschka Luis Lamb Luís Caires William Hsu. Moshe Vardi Ronald Cicurel Turdubaeva Elira

I've listened to several songs by Parallyx, and they all are pretty interesting! What I believe could make these songs even better is stronger and deeper emotional vocals in refrains. Talking about the "Doomsday" song in particular, I feel there should be much more energy in the refrains.

De la grosse frappe ! Tout l’album est énorme, félicitations 🔥

Juicy groovy riffs and great voice!

🔥🤘🏻🤘🏻🤘🏻🤘🏻🔥

sooooo goooooood!!!!! subbed.

Lame

I chuckled at that guitar harmonic in 0:34, such a cool touch!

Sorry Zahna.Loved Better Run but this far too screamy.But look forward to your next offering because you are truly talented.

No one fkn cares lmfao. Im commenting to let you know what a pile of 💩 you all are, then im hitting the "dont reccomend this channel"

Ah 💩, another altwrnative band whose lead singer thinks shes all the rage bc a few neckbeards caled her petty. Basic af vocals, basic af "screaming" verrrry basic riffs ad base line. You all fkn suck im sorry

So many hot chicks screaming metal recently..... WTF, I love it.

From the moment I heard she scream in the beginning I immediately pressed like and subscribed.

🖤🖤🖤

This is one of the songs that makes you feel happy until you understand the lyrics. 🥲 Enjoy!

YEEEEEAAAAHHHH 🔥🔥🔥🤘🤘🤘

Great Song 🤘🤘🤘👍👍👍💥💯👏👏👏

Porzadny kawałek ❤❤🎉😊😊

You guys are awesome

вообще круть. очень зря так мало подписчиков

That song was like 😒😒😒🫤😐😯😬🫨

Excellent, excellent, excellent, l'album décoiffe et décape tout sur son passage. Je l'écoute en boucle. J'ADORE !!! EXCELLENTISSIME