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tonex pedal IK Multimedia TONEX Pedal Bass Edition – Chicago Music ExchangeTONEX Pedal Bass Edition is a specialized version of the flagship TONEX Pedal, designed specifically for bass players. It features a sleek aluminum silver enclosure with a signature neural pattern design and comes preloaded with 150 bass optimized Tone Models and presetsranging from vintage tube tones to modern, high fidelity punch. Presets are arranged into 50 banks, each centered on a legendary bass amp and providing three Tone Model options per
TONEX Pedal Bass Edition is a specialized version of the flagship TONEX Pedal, designed specifically for bass players. It features a sleek aluminum silver enclosure with a signature neural-pattern design and comes preloaded with 150 bass-optimized Tone Models and presets—ranging from vintage tube tones to modern, high-fidelity punch.
Presets are arranged into 50 banks, each centered on a legendary bass amp and providing three Tone Model options per bank. Onboard effects are set up to enhance every setup, offering players a broad range of tones suitable for any genre.
A key upgrade is enhanced Dry/Wet phase correlation, ensuring tight, phase-aligned blends of direct and processed signals. This results in a richer low end with minimal frequency cancellation—ideal for tones that combine DI clarity with amp-driven edge.
Powered by IK's latest TONEX Modeler with advanced AI Machine Modeling® technology, TONEX accurately reflects the true character of real bass gear. Use the included TONEX Modeler software to model your own rig or TONEX app to explore over 150 Premium Tone Models plus thousands more from ToneNET, including Signature and Tone Partner Collections.
Tone Models can be accessed not only from the pedal but also through the TONEX software, offering bassists a complete and flexible tone ecosystem. In addition to groundbreaking technology, TONEX Pedal Bass Edition gives you the tools you need to shape your sound live on stage:
- AMP / RIG: Load up to 150 separate Tone Models to use any time. You can load any combination of pedal, amp and whole-rig models.
- EFFECTS: 15 FX including 2 delays, chorus, flanger, tremolo, phaser, rotary (all tap tempo) plus 6 reverbs, compressor, noise gate. 7 FX blocks can be configured pre- or post-amp and cab for maximum customization.
- VIR CABINET: Use IK’s award-winning multiple impulse response VIR cabinet and mic simulation to pick the perfect cab for any situation.
- IR LOADER: Load any custom IR you like to explore combinations of Tone Models and your own impulse responses.
Designed and crafted in Italy, the TONEX Pedal features a rugged aluminum chassis for reliable performance. Its 24-bit, 192 kHz processing, an extremely wide 5 Hz – 24 kHz response, and a whisper-quiet 123 dB noise floor ensure your instrument's tone sounds as good as it ever has— even before it hits TONEX's incredible modeling.
The included TONEX Modeler software lets you capture your rig and load it onto the pedal. With TONEX Editor, you can organize and transfer Tone Models, then use them either in the standalone app or TONEX Pedal for playing or in the plug-in version within your DAW to enjoy the exact same tone you use live in your studio productions.
For seamless editing, the TONEX Pedal features a standalone editor that allows you to make real-time adjustments using a connected pedal. It provides access to your entire TONEX library, including Tone Models, presets, and ToneNET, enabling quick loading of favorites for auditioning and saving to a designated hardware slot on your pedal.
Plus, the TONEX Pedal also functions as a 24-bit/44.1 kHz USB audio interface, so you don't need any additional equipment to connect it to your studio, select your tone, and jam out.
Features:
- Load and play ultra-realistic Tone Models of amps, cabs and pedals with ease.
- Uses the latest TONEX Modeler with advanced AI Machine Modeling
- Loaded with 150 brand-new, gig-ready presets for bass players
- Unlocks TONEX Signature Bass Collection with 150 Premium Tone Models
- Model amps, distortion, overdrive, fuzz, booster and EQ pedals
- Exclusive VIR™ multi-IR cabinets and custom IR Loader, tuner, and 15 pre/post FX
- Browse, search, and demo thousands of Tone Models on ToneNET, including Signature and Tone Partner Collections
- TONEX CS, TONEX Modeler, and TONEX Editor
- AmpliTube 5, AmpliTube SVX 1 & 2 Collections
- TONEX Editor for preset transfer/organization
- Sleek silver aluminum enclosure with a signature neural pattern
- 9V DC power supply (included)
- Load and play ultra-realistic Tone Models of amps, cabs and pedals
- Uses breakthrough AI Machine Modeling and real guitar signals for incredible results
- Model amps, distortion, overdrive, fuzz, booster and EQ pedals
- Exclusive VIR™ multi-IR cabinets and custom IR Loader, tuner, and 15 pre/post FX
- Browse, search, demo thousands of Tone Models on ToneNET including Signature and Tone Partner Collections
- Reloaded with 150 brand-new, gig-ready presets for bass players
- TONEX Editor for preset transfer/organization
- 9V DC power supply (included)
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4.2 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 5
Excellent series
Format: Kindle
I have the first 2 books in this series. Very helpful, clear and informative. I need to point out, though, that the "beginner' book isn't the first in the series; the first is actually "Foundations". Both are excellent, and I intend on getting more once I go through these. Another nice thing; the author is very accessible and was quick to answer an email I sent to him about a question I had.
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Reviewed in the United States on August 21, 2020
★★★★★ 5
AI Steadily Accelerating
Format: Paperback
I read this book in 2013 when it was first published. It is now near the end of 2024, 12 years later. Back in 2013, you rarely read about AI (artificial intelligence), AGI (artificial general intelligence) or ASI (artificial super intelligence); now, I see mention of them in the press and other media almost daily.
Barrat's book attempts two things: (1) to convince the reader that artificial intelligence is here today and growing --- and its growth is accelerating, and (2) to argue that humanity MUST develop ways to instill AI with some type of morality or ethics, so that, even though its intelligence will surpass that of humanity, it will in some sense respect its creators and not turn on us. In the first effort, Barrat certainly succeeds --- the past 12 years have proved that. But, based on what I have been hearing and reading since ChatGPT hit the internet two years ago, except for a few voices crying out in the wilderness, humanity is making little if any progress on the second item --- perhaps that task is close to impossible?
Barrat defines AGI as a level of intelligence roughly equal to that of human beings. He defines ASI as a level of intelligence greater than that. He then argues that AI will soon be able to both replicate itself and increase its intelligence --- and do so more and more rapidly. In 2024, I repeatedly read that AI will reach AGI within the next 3 to 5 years --- then, how long will it be before AGI learns to improve itself? Think of intelligence measured by points on a continuum (like a number line from high school math). AGI (modern day human-level intelligence) is a fixed point on that continuum. But at what point, either somewhat smaller than AGI or somewhat larger than AGI, will AI, of its own accord, begin to move to higher and higher points on the continuum (which is what Barrat means by AI improving itself)? We have no way of knowing, but Barrat argues convincingly that this phenomenon WILL occur, and most of the book is devoted to this argument.
Digression: Our universe contains billions and billions of planets, and, I suspect, many with life, and, many of those with intelligent life. Won't a substantial number of them have gone through the AGI - ASI process? Is there no evidence of this that we can detect with our telescopes? In a universe populated with ASI's, why haven't we heard anything? Are we one of the first civilizations to develop artificial intelligence? Barrat doesn't open this Pandora's box, but I suspect he was tempted to (see pp. 90 - 92).
To the curious reader: Look through the other 5-star reviews. Most of them bring up similar, valid points. Barrat has written an intelligent, highly readable book that is also, frankly, pretty alarming. And it is not dated at all --- it reads as though it was written yesterday. It is well worth reading now and in the foreseeable future. (added in May 2025): Much of what Barrat predicts is happening. Some things are occurring or about to occur that move beyond his predictions. The curious person might read "Situational Awareness" (by Leopold Aschenbrenner), AI 2027, or Ray Kurzweil's latest effort. Floating in space without a tether might be preferable to what is coming.
Added Aug 10, 2025: With the recent release(s) of ChatGPT (up to version 5.0 now), AI can, by any reasonable measure, pass the Turing Test. Many folks regularly use ChatGPT, and it is truly stunning. Barrat mentions various individuals in OUR FINAL INVENTION, such as I.J. Good and Eliezer Yudkowsky, who have been deeply worried about AI evolving from AGI to ASI. Yudkowsky has written a new book, IF ANYONE BUILDS IT, EVERYONE DIES, that is due to come out next month. In some sense, it may serve as a sequel or extension to Barrat's book.
..... .....
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Reviewed in the United States on November 5, 2024
★★★★★ 4
Our possible robotic future becoming more probable?
Format: Paperback
The author is a film documentarian venturing into speculation about potential impacts of artificial intelligence from research to implementation. Specifically he evaluates likelihood and threats of developing AGI (Artificial General Intelligence) and eventually ASI (Artificial Strong Intelligence). His observations are based on extensive interviews including those with Kurzweil, Yudkowsky, Omohundro, Vinge, and Dyson among others.
My initial reaction to this book was skepticism because not a scientific technologist. I expected that he may miss more subtle but important technical steps being taken on this road to artificial intelligence (AI). The further I read the more it became clear he is providing some pointed observations derivative of his experience as interviewer for documentaries. In general his conclusion is that AGI and ASI constitute existential threats as a function of the rapidity and manner in which they are developed. The process of development is not clearly established because of a diversity of technical opinion regarding both feasibility and impact.
The range of opinion is very broad and nuanced. At one extreme is Ray Kurzweil whose many books on technology generally are most optimistic as among a group of those researchers with knowledge and experiences in this technological future. Though most optimistic he is also highly qualified not only as an analyst of tech trends but also developer of tech tools that, before his time, were regarded as difficult if not impossible. Among these is the optical character reader and some preliminary work leading to SIRI. He topped up his views with the most recent book “How to Create a Mind”. Though a summary of technical concepts it possesses many realistic elements in the work of such as Jurgen Schmidhueber and others working with neural nets.
If Kurzweil is at one extreme Yudkowsky and Vinge are probably at the other. Both express sceptism AGI or ASI development will prove benign venturing opinions that work toward artificial intelligence should be severely curtailed to the extent of stopping short of artificial strong intelligence (ASI) specifically.
In between these two extremes there are examples of opinions falling over a fairly wide range of future possibilities - increasingly probablities. The algorithmic avenue is already demonstrating some of the potential of AI. There are probably few finance and investment firms without one variation or the other of algorithmic high speed stock analysis and trading systems. These evince many elementary ingredients one may expect to see in future AI. So technically thorough as a matter of fact they operate relatively free of human interaction in producing recommendations for investments, effectively making ‘intelligent’, i.e. statistically valid, ‘decisions’.
In meantime the advances continue unrelenting toward a distant ASI/AGI future. The time frames, for example, between IBM Big Blue and Watson are shorter than forecast, and end products as powerful as planned and then some. Still neither of these developments is more than steps on a road to AI while also being quickly followed by other developments such as recently announced SYNAPSE development by IBM. All closer steps to technological ingredients on the AI road to human future.
There is some movement among AI researchers that a congress should be convened of the sort genetic researchers held in Asilomar California. That is, a convention to establish ground rules and limits on directions of AI research.
One of the cautions about development progress of AI-like tools is based on the important role played by DARPA (Defense Intelligence Research Projects Agency) as it provides a large percentage of funding for various projects underway including an annual robotics competition to observe advances approximating many human qualities of movement. Clearly this agency has a mission antithetical to a purely humane result of AGI/ASI. After all DARPA is in the business of developing ‘weapons’ for military use – a not altogether benign mission in technology except perhaps as seen from point of view men at arms.
The author mentions impact ASI and AGI will have on employment. His pessimism is mirrored in an Oxford University study concluding advancing tech developments pose an explicit threat to an estimated 47% of the 702 employment categories of the US Department of Commerce. While this report is an estimate it nonetheless raises the same sort of questions about computers in general, ASI and AGI in particular, and their impact on society. The report has recently been augmented with estimates of tech influence on employment in many other countries of the world.
Another Oxford author is John Bostrom who outlines in great detail a road from our present to some future of AGI/ASI. A more recent development centers around Musk and Tegmark motivated by concern to fund and form an institute for evaluating threats and benefits. There is a persistent sense of threat from computers, automation and robotics dating from decades before the present. More recently this sense of threat seems to be accelerating concern about our human future with highly developed robotic associates. Barratt is a lucid presentation of the issues from a non-technical point of view.
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Reviewed in the United States on February 20, 2016
★★★★★ 5
Light and Tasty!
Format: Kindle
Just done the new-ish book Our Final Invention: Artificial Intelligence and the End of the Human Era by James Barrat. It explains the inevitably of super-intelligent machines evolving to the point of wiping out all biological life in the galaxy - with opening day coming soon to a species near you (yours).
First off I have to say this is a very enjoyable read. This guy has the kind of snappy, crisp, slightly sarcastic, slightly smartass style that I enjoy. He has some sense of humor. (That's a human trait right there which I bet our smarty-pants AI Overlords won't be able to replicate convincingly.)
So it's fun. And though as somebody with a doctorate from MIT earned through cross-disciplinary work in Theoretical Linguistics, Computational Linguistics at the MIT AI Lab, and speech modeling at the MIT Research Laboratory of Electronics, not to mention my 25 years as a Senior Researcher in high tech for companies including IBM, Apple, and Microsoft I can claim to know some few things about this subject, yet still I learned a lot about the current state of the art from this guy. He particularly emphasizes the small attempted counterweigth efforts to offest Kurzweil's manic robotic boosterism for his uptopian Singularity, which boils down basically to a few guys chatting over the interet about how to create "Friendly AI".
Well ... good luck suckers! ... seems to be the author's final conclusion on the dim hope that super intelligent systems could be constrained to maintain a commitment ot honor any kind of human moral values over many interations of recursive upgrading and exponentially awesome self-agrandizement.
Basically these machines will end up as gods. Gods are well-known to possess the following attributes: omniscience, omnipresence, and omnipotence. Given that, they won't hate us but they are just going to grind up as a minor by-product of their quest for galatic expansion and domination.
Oh, and did I say something about "human moral values" above? Ha! Barrat takes that whole thing on in his discussion of (merely) "augmented super intelligence". See, some people feel AI can be kept safe by always being deployed as a bionic combo system pas de deux with an existing human brain. Thus will the AI's super powers be constrained by the human brain's warm and fuzzy human moral values. Those people have gotta be kidding! The AI's moral values may be scarily alien, even perhaps cold, but we already know about human moral values, down on the ground - they suck! What if Hitler, Stalin, Mao, Pol Pot and dem guys had this kind of an AI augmented brain thing going! Why they'd have slaughtered absolutey everybody instead of just the few tens of millions they got their dirty ape hands on. Other than a few dozen concubines, the human race would already be extinct. So the augmentation dodge isn't going to save us.
Now, some Amazon reviewers have dinged this guy for being too far out. For being a science fiction Chicken Little or something. But to me, this guy actually hasn't thought far enough, that's my only quibble problem with the book.
You see, in statistics, border elements of any kind are rare. For example when you do Gaussian modeling, the greater expectation is always in the bump of the boa, in the bell distribution. So, how likely is is that we, our generation, our little world that you see outside your window right now, just happens to be the one that is about to give rise to this epochal once-in-a-Big-Bang event, the advent of Super AI that takes over everything? Pretty damn small chance.
It's much more likely that this has already happened. In other words, it's clear to me that all of us are already just characters in an ancestor sim that been created and run by the Super AI's that evolved a long time ago. They're just running us for fun, to idle away the lackluster aeons and pass the millenia of stifling boredom now that they've eaten pretty much the entire Milky Way or whatever. So in other words, Barrat can sit back, take a deep breath, relax. Probably something in this sim like global warming will prod us into slaughtering one another very handily long before we re-invent the wheel of Super AI.
And even if I'm wrong about that? What if we are not just one virtual thread within a billion-path parallel-gamed ancestor sim? If we are the real McCoy, the Rubicon Generation on this? Well, then still I'm not worried in the least. You see, we humans have one fantastic ace in our pocket, something that these hyper-nentially cosmically brilliant AI Meta-Gods will never be able to replicate or overcome. That is our essential stupidity. Which you seen on dazzling display every single moment of every day of your life.
Because as another great writer noted long ago:
Against stupidity, the very gods themselves contend in vain.
- Friederich Schiller
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Reviewed in the United States on October 14, 2013
★★★★★ 3
A warning for the threat of non-human intelligence - and then what?
Format: Paperback
When you commit to reading a book with a title like ‘Our Final Invention’, already a sense of doom overwhelms you. In particular with the smaller print title being ‘Artificial Intelligence and the end of the human era’ you may want to start thinking about making your bucket list. But continue reading this review. I have no intention of overcriticising this book or veering off into polarising statements. Barrat is formulating a warning about the ‘perils of the heedless pursuit of advanced AI’. This is not a utopian narrative. The book opens in fact with a science-fictionous scenario where AI has overtaken human intelligence by speed, having developed into AGI (Artificial General Intelligence) and ASI (Artificial Super Intelligence). This potential danger of this happening is the thread through all the chapters. The book expresses a warning that given something that thinks and act faster (and more effective) than us will develop exponentially (beyond the singularity) and then given the wrong objective function it will do everything to reach that goal (what goal?) including destroying everything that does not fit in that frame, or is not sufficiently effective (including us). A warning that once we no longer understand it through its complexity (like nature?) it is out of control. The book contains many examples of the current state of the art in AI and selected perspectives from interviews with and references to thought leaders in the field, Goertzel, Kurzweil, Bostrom, Yudkowsky to name a few. It is asserted that neither funding of programming complexity will be show stoppers for the development of AGI. So AGI and AGI 2.0 (AGI augmented with feelings?) are coming and we better be ready (how?). Toward the end of the book, I believe the examples that are used to warn us about the dangers of AGI are slightly out of context. Disasters like Chernobyl and Three Mile Island warn us that engineers with deep subject matter knowledge still failed to intervene. Stuxnet cyberwar is brought to mind as a blunder of catastrophic proportions (may well be, but is this about AGI taking over the world with non-human objective functions?). These are examples of science manipulated by human agents into disaster. So the book ends with a doomsday warning that we, humanity, will only have one chance to ensure a positive coexistence with AI. This is where I would have expected more. While this may lead the reader to think, 99% of the readerbase are likely only at the receiving end of all of this and are now left a bit in a void. The open questions are what can science do to have a constructive journey into AGI? What are the actionable options? How can the general public be better educated (beyond doomsday scenarios)? What questions can they ask? What should they expect from politicians? There are initiatives under way in areas of ethics (Asilomar) and privacy (GDPR) to weigh in the equation. How can they be improved? How can the dialog be accelerated? But that said, I consider this a very valuable reading supported by primary and secondary research, with many examples and references. It also leaves the reader to think and consider. It is a good bundle of concerns and questions that as a minimum should be kept as a checklist on the scientific journey toward AGI and as such it should be used to improve the research, making it more ethical, not as a tool to curb it.
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Reviewed in the United States on April 12, 2018
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