#Try having the AI art program give you prompts! codes

[zaragbtinfinite]

[feline-evil]

So! A lot of stuff happened yesterday regarding Deviantart and a lot of information that was being spread was inaccurate and fear-mongering, and while i do not think the site is wholly perfect nor that they didn’t make mistakes i do want to try and put a post out there talking about what was present there and where people were mistaken! The journal has now been changed as has Deviantarts NOAI system (for the better i must add!!) but lets look at what was present for people to see when the discussion kicked off! I’m putting it below a cut because its long but please do read, i do want to try and combat misinformation and fearmongering, and do my best to reassure people while also pointing out what ARE missteps and mistakes on Deviantarts part!

First of all let me be clear, do not agree with AI art, do not think DA should have their own AI, do not think they should allow AI submissions at all. But. Lets get on to what was written on this journal BEFORE they updated it to what it is now:

IMPORTANT:

DeviantArt did not, does not, and will not use deviations submitted to DeviantArt to add to third-party AI models or training sets, or on DreamUp itself.

DeviantArt did not consent to third-party technology usage of images on our site, which were used to train AI models. In an effort to combat future unauthorized usage, we have enacted “noai” — an industry-first directive alerting AI models of deviants' desires to opt out.

DeviantArt is the only platform giving creators the ability to tell third-party AI datasets and models whether or not their content can be used for training. This is a protection for creators to help them safeguard their content across the web.

We encourage other platforms who enable creators to publish their work to implement similar protections. We are making our “noai” directive available for use by all.

You will notice in this section the first two bulletpoints. Bulletpoint one explicitly states they are not using your art to upload and add to third party AI, AI training, or even their own AI. This is stated several times throughout this post! The opting out of ai usage does not mean if you do not have that checkmarked ticked they use your art for this, no, it is in fact about checking on a code that prevents what is ALREADY HAPPENING AND HAS BEEN SINCE THE INFANCY OF AI ART THEFT. Which is that sites trawl deviantart for art to use and usernames to acquire for prompts people can shove into their horrid ai programs. Deviantart has nothing to do with this, and states here they do not have any desire to submit your deviations to this. Right now, before this update, your art already was subject to AI and they were not doing that and had no control over it! Sorry to be the bearer of bad news but most the fear-mongering is about something that. Is already happening. Not having the checkmark that says 'i do not wish to have my art used for ai' does not make it any worse, thats just status quo, same as it ever was. So no. Not checking that on does not mean you are now allowing your art to be taken by AI and that it wasn't being before. It means things stay as they are. Which again, your art was already subject to AI, this was not going to make it any worse.

Bullet point two! Deviantart clarifies that, since they do know and are aware of how many highly popular artists currently on the site have been targeted by ai in the past, they have had no sayin this! Which is why they have come out with this update, to try and combat this! This update was not about allowing AI to access your art, it was the complete opposite.

There are several points within this journal that clarify this over again, when they talk about that checkbox stopping ai from using your art they are NOT saying it aill be used if you dont, only that it is the status quo of them having no control over this and that they are not selling nor giving out your art to AI because they do not consent to that and neither do you. There was never a plan listed here to allow that to happen. The username opt out is also aiming at software that is ALREADY AND HAS BEEN FOR AGES using peoples Deviantart usernames to generate art in their style! Not opting out does not mean deviantart automatically goes 'oh yes you can use this person now here you go art theft machines!' It means the code they have made and invented now isnt applied to your account, so you have the same level of protection that you have had for years before this journal! Which is that, yes, AI of any kind could and had for many high profile artists scalped their work and style! Which, yes, sucks so very much!! But i do not think representing this as not opting out makes this any worse is accurate, it will just stay the same; bad. This doesn’t mean not having it be opt out as default was a great move, of course, i’m not saying that.

Now. Do i think everything they did was good? No. They should not be involved in making an AI system, even one that is more ethical as they seem to be trying to make theirs;  Not rolling out their AI defence system as automatically you are given their new defence toggled on as default was also a misstep, but people i believe were fear-mongering far more than was helpful for artists trying to understand what was happening to a platform they use; same as the need for a mass toggle opt-out for pre existing deviations. Not because without that defence on and that toggled not off your art would be more susceptible to AI than it had been before! Again, cannot stress enough that was clearly never stated and that they state the opposite! It is still bad that the username out was not set automatically, it should've been opted out by default, again i am not defending that i think it was a misstep that undercuts the vastly positive changes they were bringing about, as was dipping their toes into AI in the first place. But, within hours they changed that. It is now opt out by default, and there is a mass system for previous deviations, they have listened and updated their system! This is good, this is a good thing, these protections they are implementing are good; while im sure third party software may still wriggle around, there's truly not much we or deviantart can do if that happens; this is a step forward for the site! This is good progress! They are still making a mistake allowing AI art on the site at all and having their own AI system, but truly a lot of what was mentioned in this journal was not what people were saying it was at all, there was an intense level of misinformation being spread that clearly went against several important bulletpoints mentioned several times in this journal. I am of the belief they should drop their AI software entirely, and that AI art should be not permitted on site, but i do commend them for actually attempting to give artists more power over an already prevalent issue. I'm not dick sucking here, i fully believe in holding the site accountable for their mistakes, but i do not think fear-mongering and misrepresenting information is helpful for anybody, hence why i am rambling in this post.

So TLDR: Your deviations were already subject to the things people were fearmongering about before the opt in/out system. Yes deviantart has made mistakes in getting involved in ai art and i am not defending their creation and allowing use of their own system. Yes they made a mistake not flagging everything as opt out as default but that has been rectified. No they were never planning to scalp all your previous deviations and give them to ai, that was already happening without their control or say, you had been opted in for years with deviantart having no say nor power over that, because AI art is art theft on a massive scale. Do i want to go on the line in saying Deviantart will never change their stance and might fuck this up worse and undo all the extremely good things they have implemented? No, i don’t work there and i’m not affiliated with them. My goal here is, to the best of my abilities (not claiming to be an expert i have just read through the post several times), purely to point out things that were misrepresentated in the immediate reaction to this update, so that people can make a better informed decision on their feelings and support of the site. This was a flawed introduction of a very good and helpful system, and it’s a shame that A) deviantart also tarred it with making their own AI, and that B) people misrepresented the facts of what was announced, because this NOAI is a really good thing that is being implemented. That is all.

(Also don’t come here to argue with me about wether AI art is good or bad, you are not going to sway me into being positive about it; i have very strong beliefs about it and i am not here to argue nor debate.)

[bookmytalent]

ChatGPT Is Going to Replace Developers?

You must be a developer yourself or an IT businessman who just stumbled upon the title and was shocked. Right? And if you work as a developer, you’re probably concerned about your job security. Its craze in the past few days got you questioning “is ChatGPT going to replace developers?” A lot of things must be going through your mind right now like what will happen if you lose your job and so on.

You should be since GPT is a powerful language generation model. Generative Pre-Trained Transformer, or GPT, is an AI program capable of creating texts that actually resemble those written by humans.

So without wasting much of your time and raising your anxiety level, let’s dive into the topic.

What Is ChatGPT?

OpenAI, the creator of ChatGPT says, “We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow instructions in a prompt and provide a detailed response.”

Therefore, ChatGPT can help you with anything, including writing articles, poems, books, SEO keywords for blogs, article outlines, AI art, etc. And not just this. ChatGPT can also write code and help DIY electronic engineers and open-source software developers by editing their code.

The bot can create concise websites and programs using JavaScript, Python, and React. It can also help develop new programming languages and find bugs in existing programs.

How ChatGPT Works?

But developers will still be needed to take care of the front-end and back-end of websites.

Can ChatGPT Replace Programmers?

Let’s see some more reasons:

Inability to execute code:

The inability of chat GPTs to execute code is one reason they cannot completely replace programmers. While GPT can produce text that resembles code, it is unable to execute the code or comprehend how it functions. On the other hand, programmers have a thorough understanding of the operation of various programming languages and are trained to write, debug, and maintain code.

Generate inaccurate results:

ChatGPT, a big language model is continuously trained to increase the precision of its responses. But because this is a brand-new technology, the model has not yet received enough training. As a result, there is a high probability of getting wrong answers from ChatGPT.

In fact, ChatGPT has been temporarily banned by StackOverflow. They did this in order to reduce the volume of responses and other ChatGPT-produced content. According to them, posting answers generated by ChatGPT is seriously detrimental to both the website and users who are posing questions and seeking accurate answers.

ChatGPT lacks the ability to think critically:

Another reason why ChatGPT can’t replace programmers is their inability to think critically or rationally. It can no doubt produce logical and reasonable texts but can’t solve complex problems. It can’t do the reasoning as humans do.

Programmers are skilled at problem-solving and analysis, and they can analyze intricate systems effortlessly.

Lack of creativity and idea generation:

Another reason why ChatGPT will not replace developers is their lack of creativity and new idea generation. While people can think of receiving original texts, ChatGPT actually rearranges already available words and phrases.

But when humans do the same thing, they will try to add creativity and come up with new ideas. Humans will always want to give an emotional touch with which people can feel connected immediately. And this is obviously not possible with AI tools like ChatGPT.

However, there are a few advantages too.

What Are the Advantages of Using ChatGPT?

ChatGPT will not replace programmers, can’t do what humans can do but can certainly be a helping hand in programming tasks. It can make your life somewhat easier.

Programmers can save time using ChatGPT:

ChatGPT can help you complete a programming task more quickly if you are having trouble with it. It makes your life easier so that you can concentrate on more important things by taking care of the tedious tasks for you.

Developers can increase their productivity with ChatGPT:

ChatGPT can boost your productivity by assisting you with your programming tasks. You can concentrate on the more crucial components of your work while leaving the menial tasks to the chatbot.

ChatGPT can assist you in learning new things:

The ability to learn new things is one of ChatGPT’s best features. ChatGPT can explain a concept to you in a way that is simple to understand if you are having trouble understanding it.

As a result, you will be able to pick up new programming concepts more quickly and improve as a programmer.

Final Words

ChatGPT is fantastic and useful for a variety of purposes. But the most important thing we should keep in mind is it’s just a tool and not a replacement for people. As a developer, you could think of it as an additional GitHub co-pilot. It might be useful when creating reusable code or something similar.

But when it comes to the question that whether ChatGPT will replace developers, the answer is NO. ChatGPT only provides you with raw text without any links or citations. But to verify and make the answers accurate humans will have to put in the effort.

If used in the right way, ChatGPT can become a handy tool for developers but not their replacements. Companies will still need to hire developers.

And for that what is better than hiring remote developers from BookMyTalent? To know more about us and our services don’t hesitate to visit our official website.

[kianraidelcam]

Today’s prompt for @whumptopia‘s 30 Day RoboWhump Challenge is “Overheating” and I have to give @interstellarvagabond all the credit for the premise! Full fic underneath the cut!

It was cold.

There is nothing but white swirling around him, blinding him in a colorless static. His arms are crossed, rubbing at his shivering form, vainly trying to produce more heat to dispel the frost that seemed to settle in his artificial limbs. He’s shaking, synthetic teeth clacking as quickly as his red LED spins and he can’t warm up, his diagnostic reports his temperature is ideal so why can’t he warm up?

{WARNING: STRESS LEVELS ^95}

Connor could turn off his ventilation programs; it acts as a tertiary cooling system and shutting it down would increase his core temperature by 5%.

He stops breathing.

His temperature increases by half a degree and will be up 3.25 degrees more by the end of the hour.

{WARNING: STRESS LEVELS v93%}

It’s not enough. He is not equipped with olfactory sensors but the smell of dying roses is wafting through the air and he can feel disapproval wafting through the frigid air, coming off the blizzard in palpable waves. He can vaguely hear a gruff voice calling his name, unable to fully break through the haze of his distress, through the woman’s voice whispering in his ear. If he could just warm up more, he could break free, he could get out.

Connor could close a circuit breaker and allow the full electrical current through his CPU, increasing his temperature by 2%, nearly two degrees.

He shuts the breaker and a rush goes through his head, heightening his awareness and lowering the fog that clouded his mind.

{WARNING: STRESS LEVELS v88%}

“-nor? Fucking answer me, goddamnit!”

Connor blinks, and the blizzard is no longer suffocating him, trapping him in his frozen mind palace, although the shivering remains. He’s still cold, he shouldn’t feel this cold in this temperature, and he can’t stand it, it’s too much, but Hank is in front of him. Blue eyes lined with worry, hands grabbing the android’s shoulders, his words finally reaching Connor’s ears.

“Talk to me, kid, you’re redringing. What’s going on with ya?”

“Ha-aank,” his voice modulator stutters from the lack of air that normally cools the component.

“What’s going on, Con? Are you hurt,” Lieutenant Anderson’s already ushering him toward the car before he’s aware he’s even moving, away from the crime scene they had been about to investigate.

“I’m undamaged, Lieutenant,” Connor clears the static in his voice and blinks away the warnings about his stress levels and core temperature. He is a highly advanced detective android, equipped with state-of-the-art technology and combat protocols. If he could just keep warm, he could easily investigate and solve this case.

Something as simple as falling snow shouldn’t be able to stop him.

It would not stop him.

He digs in his feet to stop Hank and forces the shivers away, increasing his thirium pump’s beat to further up his temperature, “It was a minor malfunction, I assure you. I’ve already taken care of the problem and can continue with the investigation.”

It’s not a complete lie, he tells himself. Androids, while capable of experiencing human emotion, are not human. The panic he felt, the auditory and visual hallucinations were errors in his code, and by increasing his temperature, the errors lessened and would eventually abate completely. It was just a malfunction and he fixed it.

That’s all it was.

Hank is jerked back at Connor’s sudden stop and he stares at the RK800 with disbelief evident in his expression. “Bull-fucking-shit, Connor. I’m a fucking detective, you can’t lie to me. Try again.”

Connor forces his LED back to blue, ignoring the way his systems alert him of his elevated thirium pressure and temperature, opting to use the more “human” approach that often put the older man at ease. “It’s okay, Hank. I’m fine now.”

He’s alright now, his stress levels were decreasing by the second and the self-assigned objective buzzes in his visual feed like a neon sign.

{INVESTIGATE CASE - EXAMINE THE BODY}

He is fine. His processors are slowed and there’s a faint hum emanating from his cooling fans but he is perfectly functional. Hank still looks unconvinced but Connor estimates that there is a 76% chance that he would allow Connor to continue the investigation. The rest of the precinct was overwhelmed, after all, following the revolution and the subsequent rise of android rights. On top of human crimes, they had to deal with android crimes as well, and there was no other detective duo available for investigating. “Shit. Fine. Just,” Hank takes a steadying breath, “Just know that you’re telling me what the hell that was all about, okay?”

“Of course, Lieutenant.”

Hank sighs again and Connor takes that as he cue to turn around and head back to the crime scene, snow crunching beneath his dress shoes. He suppresses another shiver as a cold gust sweeps a flurry of snow past him.

He turns off his temperature regulator, hoping it would bring more warmth.

{WARNING: INTERNAL TEMPERATURE - 100.2°F}

{RECOMMENDED INTERNAL TEMPERATURE - 95°F}

{PLEASE IMPLEMENT COOLING MEASURES TO PREVENT DAMAGE TO SYSTEMS}

He blinks away the warning, opting to instead kneel in front of the body. A PJ500, not dissimilar in appearance to Josh, with a single stab wound to the thirium pump. He scans the body, allowing the analytical part of his mind to take over, increasing power to his CPU despite the wave of dizziness that washes over him.

His scans reveal that the android’s name was registered Michael that currently worked at the elementary school he taught at before the revolution. The angle and depth of the stab wound, as well as the partial fingerprint on the plastisteel chassis, indicated that he was killed by a 6’1 human male. A closer look reveals a hint of red blood on the android’s knuckles, indicating he fought back against his attacker, breaking the skin. However, neither the partial print nor minute amount of blood would be enough for him to name to suspect. He moves to stand, intent on searching for the murder weapon or another hint to the killer’s identity when another wave of dizziness crashes into him, forcing him to shoot a hand out to catch himself as his vision momentarily fades.

{WARNING: INTERNAL TEMPERATURE - 102.4°}

{RECOMMENDED INTERNAL TEMPERATURE - 95°F}

{PLEASE IMPLEMENT COOLING MEASURES TO PREVENT DAMAGE TO SYSTEMS}

{RECOMMENDED COURSE OF ACTION - RESUME TEMPERATURE REGULATOR FUNCTION}

{RECOMMENDED COURSE OF ACTION - RESUME SECONDARY AND TERTIARY COOLING MEASURES}

{WOULD YOU LIKE TO PROCEED (y/n)?}

{n}

{ODDS OF SYSTEMS DAMAGE: 54%}

Strong hands, one on his chest and the other on his back, steady him, and Connor closes his eyes against the onslaught of vertigo. He can feel the burning of his LED spinning against his temple, the red light shining through closed eyes. He knows he should feel like he is burning from the inside out. And distantly, he feels like he is even if he still feels cold, like lice is snaking through his veins pulling him to the garden.

He should be panting for cool air at this internal temperature and rubbing snow on the base of his neck to preserve his most sensitive processor. Instead, he pushes the prompts to restart his cooling measures away. “Jesus Christ, Con, you’re burning up! Can androids even get fevers?”

Connor shakes his head and opens his eyes as the dizziness passes, letting Hank pull him to his feet, “I’m okay, Lieutenant. I’m okay.”

Hank is incredulous, Connor’s facial scans cheerfully inform him in CyberLife Sans. “The fuck you are, you nearly burnt a hole through my hand. We need to cool you down.”

Hank drags him back to the car shouting at the attending officer to close the scene and expect their official reports later, and Connor grimaces as his vision blurs again, optical units unable to keep up with the speed at which they are moving. The Lieutenant yanks the passenger door open, pushing the android into the car to sit, facing the outside, before kneeling in front of him. “You’re redringing again, and don’t tell me this is another fucking ‘malfunction,’ I’m not that inept with technology. Fuck, are you even breathing right now?”

Connor sighs and puts his face in his hands, unwilling to meet Hank’s s pointed gaze. “I’m cold, Hank.”

{WARNING: GYROSCOPE OFFLINE}

{WARNING: MAIN THIRIUM LINES COMPROMISED BY HEAT DAMAGE}

{WARNING: INTERNAL TEMPERATURE - 104.5°}

{RECOMMENDED INTERNAL TEMPERATURE - 95°F}

{PLEASE IMPLEMENT COOLING MEASURES TO PREVENT DAMAGE TO SYSTEMS}

{RECOMMENDED COURSE OF ACTION - RESUME TEMPERATURE REGULATOR FUNCTION}

{RECOMMENDED COURSE OF ACTION - RESUME SECONDARY AND TERTIARY COOLING MEASURES}

{WOULD YOU LIKE TO PROCEED (y/n)?}

He looks up but refuses to make eye contact with the man in front of him while pointedly ignoring the slight drip of thirium from his nose. “I know I need to cool off, but…”

Hank’s eyes widen at the blue blood leaking down Connor’s face and he reaches into his pocket to grab a tissue. He hands it to the deviant android before lowering his voice, using a soft, gentle tone with him, “But what, son?”

Connor automatically presses the tissue to the bleeding, despite knowing it wouldn’t stem the flow, “But I was cold and...the snow...I heard Amanda, Hank, and I felt like I was back in the Zen Garden. I could only calm down once I increased my temperature and...I think I’m scared? Scared of lowering it again.”

Lieutenant Anderson pinches the bridge of his nose and closes his eyes, anger briefly flashing across his features. Connor had told him about the Zen Garden and his AI handler the day after the revolution after a panic attack had left him shaking on the couch, holding Sumo tight while muttering about ‘not wanting to shoot Markus’ and ‘still being a machine.’ “I’m going to fucking murder those bastards...Connor, look at me.”

His hand lightly taps the side of Connor’s face, making brown irises meet blue. “CyberLife can’t touch you anymore. Amanda can’t touch you. You’re safe with me and I’m not going to let anything happen to you. I fucking swear it, they’d have to go through me and Markus and Simon and North and Josh first, you hear me?”

Connor nods weakly, noting the decrease in his stress levels as Hank speaks to him in a calming tone.

“I want you to do what you can to cool down, and I’ll take you to New Jericho. Then we’ll go home and you can teach me all of the fucking coin tricks you want, got it?”

“Got it.”

“You’re going to be alright kid. We’re going to be alright.”

Hank pats Connor’s knee before rising to his feet, heading toward the driver’s side.

{WARNING: INTERNAL TEMPERATURE - 104.8°}

{RECOMMENDED INTERNAL TEMPERATURE - 95°F}

{PLEASE IMPLEMENT COOLING MEASURES TO PREVENT DAMAGE TO SYSTEMS}

{RECOMMENDED COURSE OF ACTION - RESUME TEMPERATURE REGULATOR FUNCTION}

{RECOMMENDED COURSE OF ACTION - RESUME SECONDARY AND TERTIARY COOLING MEASURES}

{WOULD YOU LIKE TO PROCEED (y/n)?}

{y}

{TEMPERATURE REGULATOR ONLINE}

{VENTILATION BIOCOMPONENTS ONLINE}

{CIRCUIT BREAKERS CORRECTED}

{RECOMMENDED COURSE OF ACTION: SEEK COOLER ENVIRONMENT, RECALIBRATE GYROSCOPE}

Connor leans his forehead against the cool glass of the window as his breathing resumes and the sound of panting fills the silence of the car. He closes his eyes as the snow intensifies outside.

“We’re going to be alright, son.”

“I know, Hank.”

[teenageglitterchaos]

Virus Protection For Your Mac

Contrary to a popular belief, Macs are not 100% immune to viruses and malware. In addition to the in-built protection tools that your computer has, you should install a modern and powerful antivirus to ward off potential hazards.

The assumption that Macs can boast of bulletproof protection against viruses is long outdated. The vast majority of harmful programs are indeed designed for PCs — simply because these devices account for around 90% of the market. Nevertheless, that 10% that belong to Macs have recently turned into a hotbed for new digital threats. If you don’t have an antivirus on your computer or keep it disabled, you expose your confidential data, savings, and reputation to significant risks. In this article, you’ll find a detailed clarification of how you might contract malware and why an antivirus is a must-have for Macs.

Airo is a new name in Mac malware protection and focuses on macOS solely. As such it claims to offer the best-looking Mac antimalware apps around, and the folks behind it say it also utilises AI. Antivirus, malware protection, and more features to help protect your device. Norton AntiVirus Plus and Norton 360 plans include antivirus and malware protection, plus an array of additional features to help protect your PCs, Mac, Android and iOS devices, including.

Why Macs Are Safer Than PCs

Apple devices feature a plethora of advanced tools for warding off threats:

The brand notarizes safe apps so that you can be sure of their security from the onset

If a piece of software is not labeled as harmless, the Gatekeeper won’t launch it unless you approve of it manually

XProtect juxtaposes each downloaded item with its inventory of malware and detects dangerous files long before they might provoke any damage

All dubious items are labeled with quarantine tags — you’ll notice it as soon as you try to launch the file

Each app is allowed to function only within its sandbox, without affecting the rest of the software

All of these measures are embedded in each Mac. You don’t need to fine-tune them, and they don’t affect the productivity of the device when running in the background. However, they are not flawless and don’t make your device 100% immune to all possible hazards.

Not all dubious items are marked with flags. When you fetch music or movies from torrents, the system will most likely perceive them as safe even if they are not.

The XProtect inventory includes only 94 rules which is a tiny fraction of all the known threats. This tool is helpless against the freshest hazards that hackers create in bulks.

The newer generation of Macs is equipped with T2 security chips. macOS Catalina requires user’s permission before accessing external drives, iCloud Drive, desktop files, or documents. But still, sophisticated malware might pass itself away as a legit file, sneak inside the system and convince the Gatekeeper to launch it.

What’s more, the functionality of the antiviruses downloaded from the AppStore might be limited due to the above-mentioned sandbox approach. They won’t be able to inspect all the contents of your hard drive and eliminate the threats. Even if you grant them the maximum access to all the parts of the device, you won’t be able to fix this problem.

Which Threats You Can Contract and How

The two categories of malware that you are most likely to suffer from are potentially unwanted programs and adware. The trick is that you might willingly install them, providing your manual approval to launch these files. You might believe that you are installing a photo editor, a multimedia player, or even an antivirus — but this would be malware in disguise. You might consciously allow malware to sneak inside the system when fulfilling the following operations:

Clicking on advertising banners

Opening links from unknown recipients from your email and messengers

Downloading files from third-party sites (not from AppStore or the sites of their official developers)

Installing dubious browser extensions

You might fall prey to the so-called “dialogue fatigue”. This means, the Gatekeeper will be warning you against potential threats but you will be too lazy or tired and will disregard this signal.

Moreover, even the most seasoned e-commerce fans sometimes share their financial credentials with bogus shops that don’t actually sell anything but get hold of the gullible users’ bank card details.

Don’t trust the notifications that convince you to download the freshest version of the Adobe Flash Player. This is one of the most common malware traps: instead of downloading the player that you don’t really need you deliberately welcome a spying tracker into the system.

Another famous trap is fake virus notifications. You see a highly emotional pop-up telling you that your device is infected with a rare and powerful malware. Regular antiviruses allegedly can’t handle it, so you need to download a special one. The pop-up insists this is a pressing issue and gives you no time to think. You rapidly download the antivirus… which happens to be malware.

Arguments in Favor of an Antivirus

Let’s start with the most widespread argument against antiviruses. Some Mac owners think that such apps might have a detrimental effect on the device’s productivity. This might have been true years ago but hardly anymore. Modern antiviruses are relatively lightweight and highly efficient. Of course, we are talking about the top products and not random ones from unknown manufacturers. Also, the memory, disk speed, and processing power of the latest generation of Macs can successfully cope with some extra workload.

The best thing about modern antiviruses is their versatility. In addition to protecting your device from malware, they offer a much broader functionality, such as:

Boost your Mac’s productivity by freeing its disk space. They identify junk items and duplicate files and safely eliminate them, leaving the useful contents intact.

Help you uninstall unnecessary apps quickly and safely. You won’t even need to manually empty the trash bin.

Disable advertising banners on websites and prevent diverse sites from spying on you. You won’t share a bite of your private data with online shops or social media outlets.

Help you retrieve your computer in case it gets stolen. First, you will be able to remotely lock your Mac through a mobile app. Second, its web camera will take a portrait of the thief so that you can share it with the police.

Plenty of other useful functions.

DepositPhotos – antivirus

We design Mac hardware and software with advanced technologies that work together to run apps more securely, protect your data, and help keep you safe on the web. And with macOS Catalina available as a free upgrade, it’s easy to get the most secure version of macOS for your Mac.*

Apple T2 chip. The next generation of security.

The Apple T2 Security Chip — included with many newer Mac models — keeps your Mac safer than ever. The Secure Enclave coprocessor in the Apple T2 chip provides the foundation for Touch ID, secure boot, and encrypted storage capabilities. Touch ID gives you a seamless way to use your fingerprint to unlock your Mac, fill passwords in Safari, and make purchases with Apple Pay. Secure boot helps ensure that you are running trusted operating system software from Apple, while the Apple T2 chip automatically encrypts the data on your Mac. So you can be confident knowing that security has been designed right into the architecture of your Mac, from the ground up.

Apple helps you keep your Mac secure with software updates.

The best way to keep your Mac secure is to run the latest software. When new updates are available, macOS sends you a notification — or you can opt in to have updates installed automatically when your Mac is not in use. macOS checks for new updates every day, so it’s easy to always have the latest and safest version.

Protection starts at the core.

The technically sophisticated runtime protections in macOS work at the very core of your Mac to keep your system safe from malware. This starts with state-of-the-art antivirus software built in to block and remove malware. Technologies like XD (execute disable), ASLR (address space layout randomization), and SIP (system integrity protection) make it difficult for malware to do harm, and they ensure that processes with root permission cannot change critical system files.

Download apps safely from the Mac App Store. And the internet.

Now apps from both the App Store and the internet can be installed worry-free. App Review makes sure each app in the App Store is reviewed before it’s accepted. Gatekeeper on your Mac ensures that all apps from the internet have already been checked by Apple for known malicious code — before you run them the first time. If there’s ever a problem with an app, Apple can quickly stop new installations and even block the app from launching again.

Stay in control of what data apps can access.

Apps need your permission to access files in your Documents, Downloads, and Desktop folders as well as in iCloud Drive and external volumes. And you’ll be prompted before any app can access the camera or mic, capture keyboard activity, or take a photo or video of your screen.

FileVault 2 encrypts your data.

Virus Protection For Your Mac Hard Drive

With FileVault 2, your data is safe and secure — even if your Mac falls into the wrong hands. FileVault 2 encrypts the entire drive on your Mac, protecting your data with XTS-AES 128 encryption. And on Mac systems with an Apple T2 Security Chip, FileVault 2 keys are created and protected by the Secure Enclave for even more security.

Designed to protect your privacy.

The most secure browser for your Mac is the one that comes with your Mac. Built-in privacy features in Safari, like Intelligent Tracking Prevention, help keep your browsing your business. Automatic strong passwords make it easy to create and use unique passwords for all the sites you visit. And iCloud Keychain syncs those passwords securely across all your devices, so you don’t have to remember them. You can also easily find and upgrade any weak passwords you’ve previously used (and reused and reused and reused). Cyrillic font for mac.

Free Mac Antivirus

Automatic protections from harmful sites.

Safari also helps safeguard you against fraudulent websites and those that harbor malware — before you visit them. If a website seems suspicious, Safari prevents it from loading and notifies you. And when connecting to unencrypted sites, Safari will warn you. So everything you need to browse without worry is right at your fingertips.

Find your missing Mac with Find My.

The Find My app combines Find My iPhone and Find My Friends into a single, easy-to-use app on Mac, iPad, and iPhone. Find My can help you locate a missing Mac — even if it’s offline or sleeping — by sending out Bluetooth signals that can be detected by nearby Apple devices. These devices then relay the detected location of your Mac to iCloud so you can locate it in the Find My app. It’s all anonymous and encrypted end-to-end so no one — including Apple — knows the identity of any reporting device or the location of your Mac. And it all happens silently using tiny bits of data that piggyback on existing network traffic. So there’s no need to worry about your battery life, your data usage, or your privacy being compromised.

Keep your Mac safe. Even if it’s in the wrong hands.

Virus Protection For Your Macbook Pro

All Mac models with the Apple T2 Security Chip support Activation Lock — just like your iPhone or iPad. So if your Mac is ever misplaced or lost, the only person who can erase and reactivate it is you.

Virus Protection For Your Mac Os

macOS Security

[josephborrello]

Magnitude and Direction, Issue #41 | 6 Sep 2019

Hardware, Prototyping, and Fabrication

The Mobius Flex is both an elegantly simple work of electronics art, as well as an ingenious use of a flexible PCB. 🛸 The Curiosity rover's wheel's have taken quite a beating in the time it's been driving around the Martian surface. Take your files LITERALLY everywhere you go, with this implantable mesh network device. I appreciate how open-sourced this is, but I think I'll pass on implanting this in my forearm.

Software and Programming

From the MIT Tech Review: You can now practice firing someone in virtual reality. Well, isn't that lovely? How do you turn your macbook (or any laptop, for that matter) into a touchscreen for about $1? I'll give you a hint, computer vision is involved. This video of Bill Hader turning into the people he's impersonating is one of the most jarring things I've ever seen, and also the scariest deepfake-produced video I've ever encountered. Perhaps you've heard me say this here before (you have), but AI-driven fake news articles are getting uncannily good at writing to any prompt and we're going to start to have a really hard time identifying fake news, videos, etc. unless we're really paying close attention. Still don't believe me? Try making a fake article yourself.

Science, Engineering, and Biomedicine

🥃 What do you do with an artificial tongue? Taste whiskey to make sure it's not counterfeit, of course. 🔴🔴 According to popular lore, you can predict the weather based on sky color. The saying typically goes, “Red sky at night, sailor’s delight. Red sky at morning, sailors take warning.” The saying has been around in various forms for a long time, and the reason it’s lasted so long is that it actually works (at least in certain parts of the world), as XKCD artist Randall Munroe explains with words (and cartoons) in the New York Times. ➕➕🧑➕🤴 It turns out that having a few extra husbands can be a good way to weather tough times. Apparently we've had the idea of a harem backwards this whole time.

Mapping, History, and Data Science

The Version Museum may be the easiest museum in the world to visit, seeing as you can get there right from the device you're reading this on right now. What does this Version Museum exhibit? The old versions of some of the world's most influential websites. (It really does feel like a "only 90s babies will remember..." article - crazy how much has changed in the just under a quarter century.) ‍ Here's a design guide for the flags of all the US states, which explains but doesn't quite justify why some of these designs were chosen. ⚰ Since it is my birthday today, I'll also continue a long-running social media tradition here and share my deathclock. Do you live in The Midwest?

Events and Opportunities

Maybe my channels to find out about upcoming events and opportunities have just increased, because we've got another jam-packed section in this edition of M&D:

Friday 9/6 I'd like to say Nanotech NYC scheduled their next nanonite happy hour in honor of my birthday, but I don't think Jacob or the other organizers know when my birthday is! (Although they do now.) At any rate, NYC's nanotech community (practitioners and enthusiasts alike) will be getting together at Clinton Hall in east Midtown.

Monday, 9/9 Small science gets a big showcase at Nano Day at the CUNY Advanced Science Research Center. Learn about some of the most exciting nanotechnology research and innovations coming from the NYC area and meet other technologists working in the field.

Monday, 9/9 Innovation Forum New York is co-hosting a workshop with NYU Biolabs on fundraising for biotech startups, a topic of utmost importance to entrepreneurs in the life sciences. The workshop will provide valuable insights for all interested in starting their own company or considering work at a startup.

Tuesday, 9/10 The NYC Emerging Healthcare Technology meetup is holding their next event for anyone interested in creating websites for Healthcare

Tuesday, 9/10 The Accelerating BioVenture Innovation 12-week entrepreneurship training program kicks off at Cornell Med. The program is focused on building teams and business plans around patented technologies from Weill Cornell Medicine, Memorial Sloan Kettering Cancer Center and Rockefeller University.

Wednesday, 9/11 Ingredient Intelligence startup (and M&D darling) See Thru is holding the first panel discussion in their Straight Talk series, aimed at unpacking emerging trends at the intersection of beauty, science, and technology. The first topic: what does it mean to be "transparent" in the digital age, where consumers are more educated on products than ever?

Wednesday, 9/11 Scientists, researchers, cartographers, artists, and everyone in between will be gathering together at Peculier Pub for the next SciArt mixer.

Friday, 9/13 The Nanotech NYC meetup hosts Kendra Krueger, the founder of 4LoveandScience, a research and education platform that inspires new modes of working and learning in a complex world. An electrical engineer with nanotech experience in academia and the photonics industry, Kendra is also a trained facilitator in mindfulness, sustainable design and social justice.

Some other upcoming events to keep on your radar...

Wednesday, 9/18 LiveIntent is hosting their first tech happy hour at their office in lower Manhattan. The event promises to be a great opportunity for New York tech professionals to network, share ideas, meet our team, and learn all about LiveIntent and how their re-imagining email. There will be food, beer and wine provided, along with video games and board games available!

Friday, 9/20 The Aspen Institute Science & Society Program and the Institute for Systems Genetics at NYU Langone Health are co-hosting InspireScience, a symposium inspiring scientists to create a more outward-looking culture through communication, engagement, and innovation. Scientists of all levels are welcome to this special event focused on community building through communication and outreach.

Tuesday, 9/24 Join NYDesigns for a tour of their 5,000 square foot fabrication facility and learn about how you can make use of all the impressive equipment there at their upcoming open house.

Tuesday, 9/24 Join GeoNYC and Doctors Without Borders for a special map-a-thon to fill in missing geospatial data for underserved regions in order to provide international and local NGOs and individuals with the data they need to better respond to crises.

Wednesday, 9/25 Coming off their 1st birthday party, the NYC JLABS crew is taking a short break for the summer but will be back in September for their next Innovators and Entrepreneurs mixer.

Wednesday, 9/25 The RobotLab meetup's September event focuses on the good, the bad, and the ugly of Industry 4.0 and autonomous manufacturing.

Thursday, 9/26 It's been touched on in previous Existential Medicine events, but the next science seminar collab between New Lab and JLABS dives deep into the revolutionary, and sometimes controversial technology of CRISPR. Use code "NewLab2019" to unlock the event registration.

Saturday, 9/28 Admission is just the swipe of a metro card for the Parade of Trains at the Brighton Beach station. Vintage train cars from all periods of the subway's history will be on display, as well as taking passengers on short trips around south Brooklyn.

Tuesday, 10/1 The next stop on Ogilvy's healthcare innovation pop-up series takes them to Hudson Yards, where they're teaming up with the HITLAB and SAP.iO Foundry for an event that will focus primarily on the female and underserved health innovators who are disrupting healthcare today.

October 11-16 Innovation Week at Mount Sinai. What started as just the SINAInnovations conference is now a week's worth of activities dedicated to bringing New York's biomedical innovation communities together. Here's the full lineup:

Friday-Sunday, 10/11-13 Mount Sinai Health Hackathon. The 4th annual Mount Sinai Health Hackathon will be an exciting 48-hour transdisciplinary competition focused on creating novel technology solutions for problems in healthcare. This year’s theme is Artificial Intelligence – Expanding the Limits of Human Performance.

Tuesday, 10/15 Careers & Connections 2019. October may feel far away, but I promise you it's not and you'll want to be sure to mark your calendars for GRO-Biotech's next big event, the Careers & Connections mini-conference and networking event, held concurrently with emerging healthcare technologies conference, SINAInnovations.

Tuesday & Wednesday, 10/15-16 SINAInnovations Conference. The Icahn School of Medicine at Mount Sinai is hosting its eighth annual SINAInnovations conference around the theme of Artificial Intelligence. A range of talks and panels will focus on the explosive growth of AI in our society and in particular in medicine, featuring international thought leaders across the range of relevant domains.

Saturday, 10/26 The Future of Care conference is back at Rockefeller University featuring some of the latest breakthroughs in clinical care and the innovators helping shepherd them from bench to bedside. Apply to attend the conference by September 6th.

Tuesday, 10/29 Join Columbia Nano Labs for their annual Industry Day conference. Learn how you can use and leverage the Nano Labs facilities, hear from a panel of entrepreneurs who have done just that, and listen to faculty and technical experts discuss the way these sophisticated tools contribute to cutting-edge research. (Yes, this was rescheduled from the originally planed date of 9/5.)

Friday-Sunday, 11/8-10 For 36 hours on November 8-10, HackPrinceton will bring together 600 developers and designers from across the country to create incredible software and hardware projects. They'll have swag, workshops, mentors, prizes, games, free food, and more.

Map of the Month

When we hear about the 2-3 Celsius increase in temperature that's going to set us on path to irreversible environmental changes, it often sounds like it's still a ways off. As this map from the Washington Post shows, that future is already becoming a reality in some parts of the US.

Odds & Ends

"Jay Street and needless to say... ...Metrotech"

[donna-murdoch]

History, Waves and Winters in AI – Hacker Noon

“I don’t see that human intelligence is something that humans can never understand.”

~ John McCarthy, March 1989

Is it? Credits: DM Community

This post is highly motivated by Kai-Fu Lee talk on “Where Will Artificial Intelligence Take us?”

Here is the link to all the listeners. In case you like to read, I’m (lightly) editing them. All credit to Kai-Fu Lee , all blame to me, etc.

Readers can jump to next sections if their minds echo “C’mon, I know this!”.  I will try to explain everything succinctly.  Every link offers different insight into the topic (except the usual wiki) so give them a try!

Introduction

Buzzwords

Artificial Super Intelligence (ASI) One of AI’s leading figures, Nick Bostrom has defined super intelligence as “an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.”  A machine capable of constantly learning and improving itself could be unstoppable. Artificial Super intelligence ranges from a computer that’s just a little smarter than a human to one that’s trillions of times smarter — across the board. ASI is the reason the topic of AI is such a spicy meatball and why the words “immortality” and “extinction” will both appear in these posts multiple times. Think about HAL 9000 !

Artificial General Intelligence (AGI) Sometimes referred to as Strong AI, or Human-Level AI, Artificial General Intelligence refers to a computer that is as smart as a human across the board — a machine that can perform any intellectual task that a human being can. Professor Linda Gottfredson describes intelligence as “A very general mental capability that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience.” AGI would be able to do all of those things as easily as you can.

Artificial Intelligence (AI) AI is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.

Intelligent Augmentation (IA) Computation and data are used to create services that augment human intelligence and creativity. A search engine can be viewed as an example of IA (it augments human memory and factual knowledge), as can natural language translation (it augments the ability of a human to communicate).

Machine Learning (ML) Machine learning is the science of getting computers to act without being explicitly programmed. For instance, instead of coding rules and strategies of chess into a computer, the computer can watch a number of chess games and learn by example. Machine learning encompasses a wide variety of algorithms.

Deep Learning (DL) Deep learning refers to many-layered neural networks, one specific class of machine learning algorithms. Deep learning is achieving an unprecedented state of the art results, by an order of magnitude, in nearly all fields to which it’s been applied so far, including image recognition, voice recognition, and language translation.

Big Data Big data is a term that describes the large volume of data — both structured and unstructured — that inundates a business on a day-to-day basis. This was an empty marketing term that falsely convinced many people that the size of your data is what matters. It also cost companies huge sums of money on Hadoop clusters they didn’t actually need.

Only some are mentioned! Credits: Nvidia

History

Let me start with a story.

Michael Jordan explains in his talk at SysML 18 the story about coining the term “ AI” and how it is little different than often told. It goes like this, “It wasn’t Minsky, Papert, Newell all sitting at a conference. It was McCarthy who arrives at MIT, he says I’m gonna work on intelligence in computing and they say well isn’t that Cybernetics, we already have Norbert Wiener who does that. He says, “no no it’s different”. ” And so, how is it different. Well, he couldn’t really convince people it was based on logic rather than control theory, signal processing, optimization. So, he had to give it a new buzzword and he invented “Artificial Intelligence”. “AI is a general term that refers to hardware or software that exhibits behavior which appears intelligent.” AI is designed around how people think. It’s an emulation of human intelligence.

The field of AI has gone through phases of rapid progress and hype in the past, quickly followed by a cooling in investment and interest, often referred to as “AI winters”.

Waves and Winters

First Wave (1956–1974)

The programs that were developed during this time were, simply astonishing. Computers were Daniel Bobrow’s program STUDENT solving algebra word problems, proving theorems in geometry such as Herbert Gelernter’s Geometry Theorem Prover and SAINT, written by Minsky’s student James Slagle and Terry Winograd’s SHRDLU learning to speak English. A perceptron was a form of neural network introduced in 1958 by Frank Rosenblatt predicting that “perceptron may eventually be able to learn, make decisions, and translate languages. (spoiler alert: it did)”

First Winter (1974–1980)

In the 1970s, AI was subject to critiques and financial setbacks. AI researchers had failed to appreciate the difficulty of the problems they faced. Their tremendous optimism had raised expectations impossibly high, and when the promised results failed to materialize, funding for AI disappeared. In the early seventies, the capabilities of AI programs were limited. Even the most impressive could only handle trivial versions of the problems they were supposed to solve; all the programs were, in some sense, “toys”.

Second Wave (1980–1987)

The belief at one point was that we would take human intelligence and implement it as rules that would have a way to act as people. We told them the steps in which we go through our thoughts. For example, if I’m hungry I would go out and eat, if I have used a lot of money this month I will go to a cheaper place. Cheaper place implies McDonald’s and McDonald’s I avoid fried foods, so I just get a hamburger. So, that “if-then-else” we think we reason and that’s how the first generation of so-called expert systems or symbolic AI proceeded. That was the first wave that got people excited thinking we could write rules. Another encouraging event in the early 1980s was the revival of connectionism in the work of John Hopfield and David Rumelhart.

Second Winter (1987–1993)

The expert systems or symbolic AI with handwritten “if-then-else” rules were limiting because when we write down the rules there were just too many. A professor at MCC named Douglas Lenat proceeded to hire 100s of people to write down all the rules they could think of thinking that one way they will be done and that will be the brain in a project called Cyc. But knowledge in the world was too much and their interaction were too complex. The rule-based systems that we knew really didn’t know how to build it, which failed completely, resulting in only a handful of somewhat useful applications and that led everybody to believe that AI was doomed and it is not worth pursuing. Expert systems could not scale and in fact, could never scale and our brains didn’t probably work the way we thought they work. We, in order to simplify the articulation of our decision process use “if-then-else” as a language that people understood but our brains were actually much more complex than that.

Third Wave (1993–present)

The field of AI, now more than a half a century old, finally achieved some of its oldest goals. In 2005, a Stanford robot won the DARPA Grand Challenge by driving autonomously for 131 miles along an unrehearsed desert trail. Two years later, a team from CMU won the DARPA Urban Challenge by autonomously navigating 55 miles in an Urban environment while adhering to traffic hazards and all traffic laws. In February 2011, in a Jeopardy! quiz show exhibition match, IBM’s question answering system, Watson, defeated the two greatest Jeopardy! Champion.

Starting in the early 2010s, huge amounts of training data together with massive computational power (by some of the big players) prompted a re-evaluation of some particular 30-year-old neural network algorithms. To the surprise of many researchers this combination, aided by new innovations, managed to rapidly catapult these ‘Deep Learning’ systems way past the performance of traditional approaches in several domains — particularly in speech and image recognition, as well as most categorization tasks.

In DL/ML the idea is to provide the system with training data, to enable it to ‘program’ itself — no human programming required! In laboratories all around the world, little AIs(narrow) are springing to life. Some play chess better than any human ever has. Some are learning to drive a million cars a billion miles while saving more lives than most doctors or EMTs will over their entire careers. Some will make sure your dishes are dry and spot-free, or that your laundry is properly fluffed and without a wrinkle. Countless numbers of these bits of intelligence are being built and programmed; they are only going to get smarter and more pervasive; they’re going to be better than us, but they’ll never be just like us.

Deep learning is responsible for today’s explosion of AI. This field gave birth to many buzzwords like CNN, LSTM, GRU, RNN, GAN, ___net, deep___, ___GAN, etc which also visited fields like RL, NLP, etc gave very interesting achievements like AlphaGo, AlphaZero, self-driving cars, chatbots, and may require another post to just cover its achievements. It has given computers extraordinary powers, like the ability to recognize spoken words almost as well as a person could, a skill too complex to code into the machine by hand. Deep learning has transformed computer vision and dramatically improved machine translation. It is now being used to guide all sorts of key decisions in medicine, finance, manufacturing — and beyond.

We don’t (and can’t) understand how machine learning instances operate in any symbolic (as opposed to reductive) sense. Equally, we don’t know what structures and processes in our brains enable us to process symbols in intelligent ways: to abstract, communicate and reason through symbols, whether they be words or mathematical variables, and to do so across domains and problems. Moreover, we have no convincing path for progress from the first type of system, machine learning, to the second, the human brain. It seems, in other words — notwithstanding genuine progress in machine learning — that it is another dead end with respect to intelligence: the third AI winter will soon be upon us. There’s already an argument that being able to interrogate an AI system about how it reached its conclusions is a fundamental legal right. There’s too much money behind machine learning for the third winter to occur in 2018, but it won’t be long before the limited nature of AI advances sinks in.

In short, this is how it happened Credits: matter2media

What’s Next?

Our lives are bathed in data: from recommendations about whom to “follow” or “friend” to data-driven autonomous vehicles.

We are living in the age of big data, and with every link we click, every message we send, and every movement we make, we generate torrents of information.

In the past two years, the world has produced more than 90 percent of all the digital data that has ever been created. New technologies churn out an estimated 2.5 quintillion bytes per day. Data pours in from social media and cell phones, weather satellites and space telescopes, digital cameras and video feeds, medical records and library collections. Technologies monitor the number of steps we walk each day, the structural integrity of dams and bridges, and the barely perceptible tremors that indicate a person is developing Parkinson’s disease.

Data in the age of AI has been described in any number of ways: the new gold, the new oil, the new currency and even the new bacon. By now, everyone gets it: Data is worth a lot to businesses, from auditing to e-commerce. But it helps to understand what it can and cannot do, a distinction many in the business world still must come to grips with.

“All of machine learning is about error correction.”

-Yann LeCun, Chief AI scientist, Facebook

Todays AI which we call Weak AI, is really an optimizer based on data in one domain that they learn to do one thing extremely well. It’s a very vertical single task where you cannot teach it many things, common sense, give emotion and no self awareness and therefore no desire or even an understanding of how to love or dominate. It’s great as a tool, to add value and creating value which will also replace many of human job mundane tasks.

If we look at history of AI, the deep learning type of innovation really just happened one time in 60 years that we have breakthrough. We cannot go and predict that we’re gonna have breakthrough next year and the month after that. Exponential adoption of applications is now happening which is great but exponential inventions is a ridiculous concept.

We are seeing speech-to-speech translation as good as amateur translator now not yet at professional level as clearly explained by Douglas Hofstadter in this article on the Atlantic. Eventually possibly in future, we don’t have to learn foreign languages, we’ll have a earpiece that translates what other people say which is wonderful addition in convenience, productivity, value creation, saving time but at same time we have to be cognizant that translators will be out of jobs. Looking back when we think about Industrial Revolution, we see it as having done lot of good created lot of jobs but process was painful and some of the tactics were questionable and we’re gonna see all those issues come up again and worse in AI revolution. In Industrial Revolution, many people were in fact replaced and displaced and their jobs were gone and they had to live in destitute although overall employment and wealth were created but it was made by small number of people. Fortunately, Industrial Revolution lasted a long time and it was gradual and governments could deal with one group at a time whose jobs were then being displaced and also during Industrial Revolution certain work ethic was perpetuated that the capitalist wanted the rest of the world to think that if I worked hard even if it is a routine repetitive job I will get compensated, I will have a certain degree of wealth that will give me dignity and self-actualization that people saw while he works hard, he has a house, he’s a good citizen of the society. That surely isn’t how we want to remembered as mankind but that is how most people on earth believe in their current existence and that’s extremely dangerous now because AI is going to be taking most of these boring, routine, mundane, repetitive jobs and people will lose their jobs. The people losing their jobs used to feel their existence as work ethic, working hard getting that house, providing for the family.

In understanding these AI tools that are doing repetitive tasks it certainly comes back to tell us that well doing repetitive task can’t be what makes us human and that AI’s arrival will at least remove what cannot be reason for existence on this earth. Potential reason for our existence is that we create, we invent things, we celebrate creation and we are very creative about scientific process, curing diseases, creative about writing books, telling stories, etc. These are the creativity we should celebrate and that’s perhaps what makes us human.

We need AI. It is the ultimate accelerator of a human’s capacity to fill their own potential. Evolution is not assembling. We still only utilize about 10 percent of our total brain function. Think about the additional brain functioning potential we will have as AI continues to develop, improve, and advance.

Computer scientist Donald Knuth puts it, “AI has by now succeeded in doing essentially everything that requires ‘thinking’ but has failed to do most of what people and animals do ‘without thinking.’”

To put things into perspective, AI can and will expand our neocortex and act as an extension to our 300 million brain modules. According to Ray Kurzweil, American author, computer scientist, inventor and futurist, “The future human will be a biological and non-biological hybrid.”

If you liked my article, please smash the 👏 below as many times as you liked the article (spoiler alert: 50 is limit, I tried!) so other people will see this here on Medium.

If you have any thoughts, comments, questions, feel free to comment below.

Further “Very very very Interesting” Reads

Geoffrey Hinton [https://torontolife.com/tech/ai-superstars-google-facebook-apple-studied-guy/]

Yann LeCun [https://www.forbes.com/sites/insights-intelai/2018/07/17/yann-lecun-an-ai-groundbreaker-takes-stock/]

Youshua Bengio [https://www.cifar.ca/news/news/2018/08/01/q-a-with-yoshua-bengio]

Ian Goodfellow GANfather [https://www.technologyreview.com/s/610253/the-ganfather-the-man-whos-given-machines-the-gift-of-imagination/]

AI Conspiracy: The ‘Canadian Mafia’ [https://www.recode.net/2015/7/15/11614684/ai-conspiracy-the-scientists-behind-deep-learning]

Douglas Hofstadter [https://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/]

Marvin Minsky [https://www.space.com/32153-god-artificial-intelligence-and-the-passing-of-marvin-minsky.html]

Judea Pearl [https://www.theatlantic.com/technology/archive/2018/05/machine-learning-is-stuck-on-asking-why/560675/]

John McCarthy [http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html]

Prof. Nick Bostrom — Artificial Intelligence Will be The Greatest Revolution in History [https://www.youtube.com/watch?v=qWPU5eOJ7SQ]

François Chollet [https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec]

Andrej Karpathy [https://medium.com/@karpathy/software-2-0-a64152b37c35]

Walter Pitts [http://nautil.us/issue/21/information/the-man-who-tried-to-redeem-the-world-with-logic]

Machine Learning [https://techcrunch.com/2016/10/23/wtf-is-machine-learning/]

Neural Networks [https://physicsworld.com/a/neural-networks-explained/]

Intelligent Machines [https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515/]

Self-Conscious AI [https://www.wired.com/story/how-to-build-a-self-conscious-ai-machine/]

The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid? [https://qz.com/1046350/the-quartz-guide-to-artificial-intelligence-what-is-it-why-is-it-important-and-should-we-be-afraid/]

The Great A.I. Awakening [https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html]

China’s AI Awakening [https://www.technologyreview.com/s/609038/chinas-ai-awakening]

AI Revolution [https://getpocket.com/explore/item/the-ai-revolution-the-road-to-superintelligence-823279599]

Artificial Intelligence — The Revolution Hasn’t Happened Yet [https://medium.com/@mijordan3/artificial-intelligence-the-revolution-hasnt-happened-yet-5e1d5812e1e7]

AI’s Language Problem [https://www.technologyreview.com/s/602094/ais-language-problem/]

AI’s Next Great Challenge: Understanding the Nuances of Language [https://hbr.org/2018/07/ais-next-great-challenge-understanding-the-nuances-of-language]

Dark secret at the heart of AI [https://www.technologyreview.com/s/604087/the-dark-secret-at-the-heart-of-ai/]

How Frightened Should We Be of A.I.? [https://www.newyorker.com/magazine/2018/05/14/how-frightened-should-we-be-of-ai]

The Real Threat of Artificial Intelligence [https://www.nytimes.com/2017/06/24/opinion/sunday/artificial-intelligence-economic-inequality.html]

Artificial Intelligence’s ‘Black Box’ Is Nothing to Fear [https://www.nytimes.com/2018/01/25/opinion/artificial-intelligence-black-box.html]

Tipping point for Artificial Intelligence [https://www.datanami.com/2018/07/20/the-tipping-point-for-artificial-intelligence/]

AI Winter isn’t coming [https://www.technologyreview.com/s/603062/ai-winter-isnt-coming/]

AI winter is well on its way [https://blog.piekniewski.info/2018/05/28/ai-winter-is-well-on-its-way/]

AI is in bubble [https://www.theglobeandmail.com/business/commentary/article-artificial-intelligence-is-in-a-bubble-heres-why-we-should-build-it/]