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Description
Fender SQUIER AFFINITY SERIES STRATOCASTER FMT HSS Electric Guitar (Sienna Sunburst)A superb gateway into the time honored Fender family, the Squier Affinity Series Stratocaster FMT HSS delivers legendary design and quintessential tone for today's aspiring guitar hero. This Strat features several player friendly refinements such as a thin and lightweight body with an eye catching flame maple top (FMT), a slim and comfortable "C" shaped neck profile, a 2 point tremolo bridge for superior tremolo action and sealed die cast tuning
A superb gateway into the time-honored Fender® family, the Squier® Affinity Series® Stratocaster® FMT HSS delivers legendary design and quintessential tone for today's aspiring guitar hero. This Strat® features several player-friendly refinements such as a thin and lightweight body with an eye-catching flame maple top (FMT), a slim and comfortable "C"-shaped neck profile, a 2-point tremolo bridge for superior tremolo action and sealed die-cast tuning machines with split shafts for smooth, accurate tuning and easy restringing. Loaded with a Squier humbucking bridge pickup and single-coil neck and middle pickups for genre-defying sonic variety, this model is ready to accompany any player at any stage.
Features
- Thin and lightweight body
- HSS pickup configuration
- 2-point tremolo bridge
- Flame maple top
- Sealed die-cast tuning machines with split shafts
Specifications
Neck
- Neck MaterialMaple
- Neck FinishSatin Urethane with Gloss Urethane Headstock Face
- Neck Shape"C" Shape
- Neck ConstructionBolt-On
- Fingerboard Radius9.5" (241 mm)
- Fingerboard MaterialMaple
- Position InlaysBlack Dot
- Side DotsBlack
- Number of Frets21
- Truss RodHead Adjust
- String NutSynthetic Bone
- Nut Width1.650" (42 mm)
- Nut MaterialSynthetic Bone
- Fret SizeMedium Jumbo
- Scale Length25.5" (64.77 cm)
Body
- BodyPoplar
- Body FinishGloss Polyurethane
- Body ShapeStratocaster®
- Body TopFlame Maple
- Body MaterialPoplar
Hardware
- Bridge2-Point Synchronized Tremolo with Block Saddles
- Pickguard3-Ply White
- Pickup CoversWhite
- Control KnobsWhite Plastic
- Switch TipWhite
- Hardware FinishChrome
- Tuning MachinesSealed Die-Cast with Split Shafts
- String TreesDual-Wing
- StringsNickel Plated Steel (.009-.042 Gauges)
- Tremolo ArmStandard
- Neck Plate4-Bolt Squier®
- Strap ButtonsStandard
Electronics
- Bridge PickupCeramic Humbucker
- Middle PickupCeramic Single-Coil
- Neck PickupCeramic Single-Coil
- Pickup ConfigurationHSS
- ControlsMaster Volume, Tone 1. (Neck/Middle Pickups), Tone 2. (Bridge Pickup)
- Switching5-Position Blade: Position 1. Bridge Pickup, Position 2. Bridge and Middle
- Pickup, Position 3. Middle Pickup, Position 4. Middle and Neck Pickup, Position 5. Neck Pickup
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4.2 ★★★★★
Based on 16 reviews
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Product Reviews
★★★★★ 5
A Great Start for Beginners That Encourages by Eliminating Ambiguity
Format: Kindle
Everyone has their own learning curve to overcome at their own time, however, the concise instructions in this book leaves very little for the individual to be stumped on and while moving on to more complex lessons the book is formatted in such a way that referencing older topics can be done quickly. As a beginner myself, having only completed a few tutorials before this series, would definitely recommend both the Foundations and Beginner works to those looking to take on the challenge of teaching themselves the intricacies of Unity.
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Reviewed in the United States on April 7, 2016
★★★★★ 3
A Decent Introduction to Unity, With Caveats
Format: Paperback
Overall, the author gets the main points across, and readers can learn how to develop games in Unity. Unfortunately, the code examples are rather sloppy. It’s clear the author understands game development in Unity, but not necessarily software development best practices. I can look past these issues, but I worry newer developers may pick up some bad habits.
Speaking of new developers, this book assumes a very introductory level of programming experience. Personally, I believe it’s best to learn the fundamentals of software development before diving into game development. This approach isn’t unique to this book, however, and it’s honestly difficult to find a game development book that doesn’t assume you’re starting from almost nothing. To the author’s credit, the book does present a reasonable set of real-world problems that a typical developer will encounter, along with workable solutions. Just be prepared for a significant amount of hand-holding.
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Reviewed in the United States on January 5, 2026
★★★★★ 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