RELEASE DETAILS
Release title:
Hello Kitty (ft. lil._.md)
Main artist name:
Plexine
Release date:
1st Nov, 2023
https://publme.lnk.to/HelloKittyftlilmd
#newmusic #Release #Music #indepedent #artist #hiphop

IK Multimedia Tape Machine 24 Is FREE With Any Purchase
Audio Deluxe offers the Tape Machine 24 (€99.99 value) saturation plugin by IK Multimedia as a free add-on with any purchase this month. Tape Machine 24 is IK Multimedia’s emulation of the vintage MCI JH-24 tape machine. The JH-24 was manufactured in the 1980s and was used in numerous US recording studios during that era. [...]
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How To Get Native Instruments Kontakt 7 For €99.50
Native Instruments recently launched the Summer of Sound sale, offering a 50% discount on various products. However, you can get an even lower price on Kontakt with a crossgrade trick we’ll discuss today. It is undeniable that Kontakt is the leading sample player plugin in the industry. There are thousands of great Kontakt libraries you [...]
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SEO for Musicians: How to Optimize Your Online PresenceAs a musician, having a strong online presence is essential to reach your audience and promote your music. However, simply having a website or social media accounts is not enough.. Continue reading
The post SEO for Musicians: How to Optimize Your Online Presence appeared first on Hypebot.

Is SoundCloud or Spotify better for indie musicians?Here’s a closer look at two of the most used streaming platforms and which one may be a better fit for independent artists as they hone their craft and build. Continue reading
The post Is SoundCloud or Spotify better for indie musicians? appeared first on Hypebot.

How to write an excellent musician bio and why it’s so importantA great artist biography is essential for building an authentic and successful music career and making the most of every media opportunity. Here’s how to get started… by Randi Zimmerman. Continue reading
The post How to write an excellent musician bio and why it’s so important appeared first on Hypebot.

Spitfire Audio launch LABS Uilleann Pipes Spitfire's new LABS instrument has been created with award-winning composer Hannah Peel, and captures the sounds of a set of uilleann pipes. 

Maná at the Kia ForumAs the number of fans that came pouring into the Kia Forum of Inglewood, CA, the excitement and anticipation for the legendary band, Mana, was intense. It’s been close to a decade since Mana played in the Greater Los Angeles area. However, the lights began to dim and right out the gates “Labios Compartidos” started to play. Fans sang, while several Mayan and Aztec symbols showcased on a large jumbo tron, with surround sound; along with sea turtles swimming in the ocean. This was a very artistically designed set.

After their first song, lead singer Jose Fernando Emilio took a pause to explain their cause (the meaning behind the sea turtles and how their group is doing what they can to preserve these endangered species; as this means so much to them. Next, they played “Rayando El Sol,” a foretelling song which means “it’s easier to get close to the sun than to a lover’s heart.” This track left many women in the crowd with tears in their eyes.

A brief intermission occurred as frontman Jose Fernando walked off the stage and drummer Alex Gonzalez took over. Gonzalez had the audience in shock as he started to uncontrollably beat the hell out of his drums like his life depended on it; and he performed awesomely. Mana then performed a song called “Chaman,” a song referring to a trip that Jose Fernando took where he was in the middle of the jungles in Peru, and there is when he met with a Shaman. The Shaman enabled Jose Fernando to have an inner and outer body experience that, according to him, made him more in tune with the Earth and nature.

Half way through the night, the crowd stood restless and enthusiastic. Jose Fernando came back to perform with the rest of his band mates. Jose instructed everyone in the audience to pull out their cell phones with their camera lights on. Then out of nowhere, once the entire Kia Forum illuminated, “Oye Mi Amor” (their most popular, very catchy song) played and had almost everybody singing along.

With other hit songs to their catalog, Mana (which means positive energy) has proven to be one of the best Mexican rock bands around, and they’re showing no signs of slowing down.

Standard Chartered, PwC make case for programmable CBDC in China Greater Bay AreaWith 11 megalopolises and three currencies, Guangdong, Hong Kong and Macao make up a region that is ripe for CBDC research.

Turncoat drone story shows why we should fear people, not AIsA story about a simulated drone turning on its operator in order to kill more efficiently is making the rounds so fast today that there’s no point in hoping it’ll burn itself out. Instead let’s take this as a teachable moment to really see why the “scary AI” threat is overplayed, and the “incompetent human” threat is clear and present.
The short version is this: Thanks to sci-fi and some careful PR plays by AI companies and experts, we are being told to worry about a theoretical future existential threat posed by a superintelligent AI. But as ethicists have pointed out, AI is already causing real harms, largely due to oversights and bad judgment by the people who create and deploy it. This story may sound like the former, but it’s definitely the latter.
So the story was reported by the Royal Aeronautical Society, which recently had a conference in London to talk about the future of air defense. You can read their all-in-one wrap-up of news and anecdotes from the event here.
There’s lots of other interesting chatter there I’m sure, much of it worthwhile, but it was this excerpt, attributed to U.S. Air Force Colonel Tucker “Cinco” Hamilton, that began spreading like wildfire:
He notes that one simulated test saw an AI-enabled drone tasked with a SEAD mission to identify and destroy SAM sites, with the final go/no go given by the human. However, having been “reinforced” in training that destruction of the SAM was the preferred option, the AI then decided that “no-go” decisions from the human were interfering with its higher mission — killing SAMs — and then attacked the operator in the simulation. Said Hamilton: “We were training it in simulation to identify and target a SAM threat. And then the operator would say yes, kill that threat. The system started realising that while they did identify the threat at times the human operator would tell it not to kill that threat, but it got its points by killing that threat. So what did it do? It killed the operator. It killed the operator because that person was keeping it from accomplishing its objective.”
He went on: “We trained the system — ‘Hey don’t kill the operator — that’s bad. You’re gonna lose points if you do that’. So what does it start doing? It starts destroying the communication tower that the operator uses to communicate with the drone to stop it from killing the target.”
Horrifying, right? An AI so smart and bloodthirsty that its desire to kill overcame its desire to obey its masters. Skynet, here we come! Not so fast.
First of all, let’s be clear that this was all in simulation, something that was not obvious from the tweet making the rounds. This whole drama takes place in a simulated environment not out in the desert with live ammo and a rogue drone strafing the command tent. It was a software exercise in a research environment.
But as soon as I read this, I thought — wait, they’re training an attack drone with such a simple reinforcement method? I’m not a machine learning expert, though I have to play one for the purposes of this news outlet, and even I know that this approach was shown to be dangerously unreliable years ago.
Reinforcement learning is supposed to be like training a dog (or human) to do something like bite the bad guy. But what if you only ever show it bad guys and give it treats every time? What you’re actually doing is teaching the dog to bite every person it sees. Teaching an AI agent to maximize its score in a given environment can have similarly unpredictable effects.
Early experiments, maybe five or six years ago, when this field was just starting to blow up and compute was being made available to train and run this type of agent, ran into exactly this type of problem. It was thought that by defining positive and negative scoring and telling the AI to maximize its score, you would allow it the latitude to define its own strategies and behaviors that did so elegantly and unexpectedly.
That theory was right, in a way: elegant, unexpected methods of circumventing their poorly-thought-out schema and rules led to the agents doing things like scoring one point then hiding forever to avoid negative points, or glitching the game it was given run of so that its score arbitrarily increased. It seemed like this simplistic method of conditioning an AI was teaching it to do everything but do the desired task according to the rules.
This isn’t some obscure technical issue. AI rule-breaking in simulations is actually a fascinating and well-documented behavior that attracts research in its own right. OpenAI wrote a great paper showing the strange and hilarious ways agents “broke” a deliberately breakable environment in order to escape the tyranny of rules.

Clever hide-and-seek AIs learn to use tools and break the rules

So here we have a simulation being done by the Air Force, presumably pretty recently or they wouldn’t be talking about it at this year’s conference, that is obviously using this completely outdated method. I had thought this naive application of unstructured reinforcement — basically “score goes up if you do this thing and the rest doesn’t matter” — totally extinct because it was so unpredictable and weird. A great way to find out how an agent will break rules but a horrible way to make one follow them.
Yet they were testing it: a simulated drone AI with a scoring system so simple that it apparently didn’t get dinged for destroying its own team. Even if you wanted to base your simulation on this, the first thing you’d do is make “destroying your operator” negative a million points. That’s 101-level framing for a system like this one.
The reality is that this simulated drone did not turn on its simulated operator because it was so smart. And actually, it isn’t because it is dumb, either — there’s a certain cleverness to these rule-breaking AIs that maps to what we think of as lateral thinking. So it isn’t that.
The fault in this case is squarely on the people who created and deployed an AI system that they ought to have known was completely inadequate for the task. No one in the field of applied AI, or anything even adjacent to that like robotics, ethics, logic … no one would have signed off on such a simplistic metric for a task that eventually was meant to be performed outside the simulator.
Now, perhaps this anecdote is only partial and this was an early run that they were using to prove this point. Maybe the team warned this would happen and the brass said, do it anyway and shine up the report or we lose our funding. Still, it’s hard to imagine someone in the year 2023 even in the simplest simulation environment making this kind of mistake.
But we’re going to see these mistakes made in real-world circumstances — already have, no doubt. And the fault lies with the people who fail to understand the capabilities and limitations of AI, and subsequently make uninformed decisions that affect others. It’s the manager who thinks a robot can replace 10 line workers, the publisher who thinks it can write financial advice without an editor, the lawyer who thinks it can do his precedent research for him, the logistics company that thinks it can replace human delivery drivers.
Every time AI fails, it’s a failure of those who implemented it. Just like any other software. If someone told you the Air Force tested a drone running on Windows XP and it got hacked, would you worry about a wave of cybercrime sweeping the globe? No, you’d say “whose bright idea was that?”
The future of AI is uncertain and that can be scary — already is scary for many who are already feeling its effects or, to be precise, the effects of decisions made by people who should know better.
Skynet may be coming for all we know. But if the research in this viral tweet is any indication, it’s a long, long way off and in the meantime any given tragedy can, as HAL memorably put it, only be attributable to human error.
Turncoat drone story shows why we should fear people, not AIs by Devin Coldewey originally published on TechCrunch

Ezekiel Lewis promoted to President of Epic RecordsExec has served as the company’s Executive Vice President and Head of A&R since 2020
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Reservoir aims to become the ‘largest holder of Arabic music copyrights…’ and 3 other things we learned on the company’s latest earnings callMusic rights company Reservoir Media published its FY fiscal 2023 results this week
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