For most major tech advancements, the more mature and better developed a technology gets, the easier it is to understand. Unfortunately, it seems the exact opposite is happening in the world of artificial intelligence, or AI. As machine learning, neural networks, hardware advancements, and software developments meant to drive AI forward all continue to evolve, the picture they’re painting is getting even more confusing.
At a basic level, it’s now much less clear as to what AI realistically can and cannot do, especially at the present moment. Yes, there’s a lot of great speculation about what AI-driven technologies will eventually be able to do, but there are several things that we were led to believe they could do now, which turn out to be a lot less “magical” than they first appear.
In the case of speech-based digital assistants, for example, there have been numerous stories written recently about how the perceived intelligence around personal assistants like Alexa and Google Assistant are really based more around things like prediction branches that have been human built after listening to thousands of hours of people’s personal recordings. In other words, people analyzed typical conversations, based on those recordings, determined the likely steps in the dialog, and then built sophisticated logic branches based on that analysis. While I can certainly appreciate that it represents some pretty respectable analysis and the type of percentage-based predictions that early iterations of machine learning are known to do, it’s a long way from any type of “intelligence” that actually understands what’s being said and responds appropriately. Plus, it clearly raises some serious questions about privacy that I believe have started to negatively impact the usage rates of some of these devices.
On top of that, recent research by IDC on real-world business applications of AI showed failure rates of up to 50% in some of the companies that have already deployed AI in their enterprises. While there are clearly a number of factors potentially at play, it’s not hard to see that some of the original promise of AI isn’t exactly living up to expectations.
Of course, a lot of this is due to the unmet expectations that are almost inevitably part of a technology that’s been hyped up to such an enormous degree. Early discussions around what AI could do implied a degree of sophistication and capability that was clearly beyond what was realistically possible at the time. However, there have been some very impressive implementations of AI that do seem to suggest a more general-purpose intelligence at work. The well-documented examples of systems like AlphaGo, which could beat even the best players in the world at the very sophisticated, multi-layer strategy necessary to win at the ancient Asia game called Go, for example, gave many the impression that AI advances had arrived in a legitimate way. In addition, just this week, Microsoft pledged $1Billion to a startup called OpenAI LP in an effort to work on creating better artificial general intelligence systems. That’s a strong statement about the perceived pace of advancements in these more general-purpose AI applications and not something that a company like Microsoft is going to take lightly.
The problem is, these seemingly contradictory forces, both against and for the more “magical” type of advances in artificial intelligence, leave many people—myself included—unclear as to what the current state of AI really is. Admittedly, I’m oversimplifying to a degree. There are an enormous range of AI-focused efforts and a huge number of variables that go into these efforts, so it’s not realistic to expect, much less find, a simple set of reasons for how or why some of the AI applications seem so successful and why some are so much less so (or, at the very least, a lot less “advanced” than they first appear). Still, it’s not easy to tell how successful many of the early AI efforts have been, nor how much skepticism we should apply to the promises being made.
Interestingly, the problem extends into the early hardware implementations of AI capabilities and the features they enable as well. For example, virtually all premium smartphones released over the last year or two have some level of dedicated AI silicon built into them for accelerating features like on-device face recognition, or other computational photography features that basically help make your pictures look better (such as adding bokeh effects from a single camera lens, etc.) The confusing part here is that the availability of these features is generally not dependent on whether your phone includes, for example, a Qualcomm Snapdragon 835 or later processor or Apple A11 or later series chip, but rather what version of Android or iOS you’re running. Phones that don’t have dedicated AI accelerators still offer the same functions (in the vast majority of cases) if they’re running newer versions of Android and iOS, but the tasks are handled by the CPU, GPU, or other component inside the phone’s SOC (system on chip). In theory, the tasks are handled slightly faster, slightly more power efficiently, or, in the case of images, with slightly better quality if you have dedicated AI acceleration hardware, but the differences are currently very small and, more importantly, subject to a great deal of variation based on software and software layer interactions. In other words, even phones without dedicated AI acceleration at the silicon level are still able to take advantage of these features.
This is due, primarily, to the extremely complicated layers of software necessary to write AI applications (or features). Not surprisingly, writing code for AI is very challenging for most people to do, so companies have developed several different types of software that abstract away from the hardware (that is, put more distance between the code that’s being written and the specific instructions executed by the silicon inside of devices). The most common layer for AI programmers to write is within what are called frameworks (e.g., TensorFlow, Caffe, Torch, Theano, etc.). Each of these frameworks provide different structures and sets of commands or functions to let you write the software you want to write. Frameworks, in turn, talk to operating systems and translate their commands for whatever hardware happens to be on the device. In theory, writing straight to the silicon (often called “the metal”) would be more efficient and wouldn’t lose any performance benefits in the various layers of translation that currently have to occur. However, very few people have the skills to write AI code straight to the metal. As a result, we currently have a complex development environment for AI applications, which makes it even harder to understand how advanced these applications really are.
Ultimately, there’s little doubt that AI is going to have an extremely profound influence on the way that we use virtually all of our current computing devices, as well as the even larger range of intelligent devices, from cars to home appliances and beyond, that are still to come. In the short term, however, it certainly seems that the advances we may have been expecting to appear soon, still have a way to go.
One thought on “The Contradictory State of AI”
Loveme on-line relationship is assured to always make you smile! With the choice of searching womenâ€™s profiles on-line, single worldwide tours, individual worldwide tours, and extra, we support men in finding the lady of their desires who can make their life exuberant and gratified. These messages are despatched on the premise of profile data to all those who can be suitable with you. It has a singular design with superb features for Wedding & Wedding ceremony Planner Companies who want to construct their website.We’ve constructed with all the marriage & Wedding ceremony Planner characteristic that want a Marriage ceremony & Wedding ceremony Planner services. For essentially the most part, individuals donâ€™t wish to spend a lot time, trying to learn the way this or that factor works in addition to they donâ€™t need to guess what the site is made for. In case you not wish to be a Premium Member, you possibly can ask buyer help to cancel the membership. You can even save all written messages as drafts. You too can save all written messages as drafts. You possibly can become buddies and begin exchanging messages should you like several girl.
Even though on the site there’s a mention of three levels of membership (platinum, gold, and silver), loveme com yow will discover information only about platinum and non-platinum members. If I felt the girl was stalling or not prepared to go back to agency to release their information. If I felt the girl was stalling or not keen to return to agency to launch their info. When i used the site I ran into no issues at all, however I would be hesistant to use it now till issues are back to normal. The excellent news is the search on LoveMe is readily tailored to the site consumer, with a selection of ways to look profiles. The trendy and elegant design also gives cool feature comparable to RSVP, Service, Portfolio, Pricing, Store, Testimonials, Single Portfolio, Single Service, about and phone nearly all form of fashionable options we have now tried to make use of, in addition to letting you present weblog or scorching information. Now we have tried to use fashionable tools like Elementor, Onclick Demo Importer, Codestar Option Framework, Contact Type 7 and many others for constructing this Theme.
I began utilizing this site around 2018 with a really cautious outlook because I’ve never used a site like this to meet women. These women view foreign males as extra loving, caring, and gentlemanly than native men. The location provides free use for ladies and for males the price is cheap. No, it isnâ€™t. LoveMe is a registered company that provides worldwide courting providers to women and men from all over the world. Our luxury actual property company has many strategic alliances and provides luxurious properties and lands. LoveMe is a real Property, luxury Concierge and Entertainment Company. I went to Mykonos using the concierge firm of my old good friend Luciano, Lovememykonos. Clients’ focused, the LoveMeIbiza experience isn’t just the proper accommodation in the island however a 360 degrees concierge service delivered with grace, professionalism and warmth. Belief LoveMe to participate in the Burning Man 2021: we are going to take care of every aspect of your journey and make you live an unforgettable expertise. The expertise was wonderful: sincere, reliable and very nice! Should you a platinum member, you’ll be able to watch all womenâ€™s movies at no cost, and if you aren’t, then you definitely pays for each video.
The price for the activation of a Platinum membership is only $95.00, then you pay $29.Ninety five a month to remain a Platinum member and reap the benefits of all discounts and tour credits. The fee terms make you select the platinum membership without delay as the most effective option. There’s a personalized possibility and every part is unique creative for Marriage ceremony & Marriage ceremony Planner Companies. Loveme – Wedding & Wedding Planner HTML5 Template is a excessive-quality wedding ceremony and marriage ceremony planner website web design, you may design an internet site for any marriage ceremony and wedding ceremony ceremony planner, wedding consultant or marriage ceremony planner services. Loveme is a is a excessive-high quality Marriage ceremony & Wedding Planner WordPress Theme for any wedding and marriage ceremony ceremony planner, wedding ceremony guide or marriage ceremony planner services. This outstanding template has been developed with wedding and marriage ceremony planner providers or wedding ceremony planner company in thoughts. Though having a long historical past, its popularity among customers shouldn’t be all good, with some even claiming that the platform is not solely trustworthy and others experiencing various hitches with the providers it supplies.