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Descript is a mindblowing editing shortcut for audio and video

(TECH NEWS) Descript is an automatic transcription tool that uses machine-learning to make transcribing easier.

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Anyone getting into audio/video editing for the first time is almost immediately struck with the sheer enormity and complexity of it all. Even if you have the physical hardware, the proper software, and the creative spark to produce media, that doesn’t make the process of editing it all into a cohesive product any less daunting. For those of us struggling under the sisyphean weight of complicated editing workflows, a new product aims to relieve us all of this struggle. Enter Descript, an automatic transcription tool.

Descript uses machine-learning to transcribe your raw audio and video files into a dialogue script. This in itself is an incredibly valuable tool for anyone looking to transcribe podcasts, youtube videos, or whatever kind of media you produce. But this is just the beginning of what makes this app so special.

Descript is the world’s first audio word processor. Using the transcript the app creates from your audio, you can edit the text script to change the media itself. Removing the “umms” and “ahhs” from your speech — or removing whole sentences at a time — is as simple as using the backspace key on a word processor.

As a would-be podcaster, I played around with the app over the weekend, so I can tell you my initial impressions of the app. While it’s not for me (not yet, anyway), it is incredibly easy and fun and quite frankly mindblowing to use.

First things first, let’s talk about the cost.

The app works on a subscription model that pays by the minute. New users are able to upload up to 30 minutes of audio for free, but anything past that will require paying 15 cents per minute or signing up for a monthly subscription. Keep in mind these costs apply to total raw audio uploaded, not finished product audio produced. So if you’re the type (like me) to record several hours of audio per week only to trim it down to a single hour of product, this may be a bit on the wasteful side.

As for the transcription itself, the program’s machine-learning transcription transcribed my dulcet tones into the appropriate written words with nearly complete accuracy. I did have a few issues with the program understanding other speakers, but I believe that may have been a fault on my end that I’ll go into later. If the machine-learning transcription isn’t accurate enough for you, you can also choose to pay extra in order to have your audio specially transcribed by real human professionals.

The app can divide audio between different people speaking, but not automatically. If you have different audio files for each speaker, then each audio file will be labeled separately from the start. If multiple speakers are on the same audio track (like mine), then you’ll have to notate these differing speakers in the script yourself. I believe this is why the program had difficulty transcribing other speakers on the audio than myself. Being on the same audio track, the machine attuned itself to my voice (the first speaker on the recording) and was trying to interpret other people’s words as if I were the one saying them.

As for the audio editing aspect of this program, well, it really needs to be experienced to be believed. I was told what the program could do beforehand, but actually editing audio just by changing words around on a script is something else entirely. Cutting out non sequitur sentences, removing unnecessary articles, or even changing the order of words around to better suit the flow of conversation — through a literal word processor — will make you feel like an arcane grammar wizard.

Will this replace your entire audio/video workflow? Probably not. At least not yet. In addition to the cost factor which may be prohibitive to some users, there are some issues of editing that aren’t based on word choice. I found myself frustrated at my inability to change the timing of spaces between words, sometimes leaving gaps between sentences (or not enough space between words). Of course, I only had the program for a weekend, so this could very well be attributed to user error.

Whatever flaws real or imagined this program may have, it’s very important to keep in mind that Descript is the first of its kind.

It can only improve from here, not to mention potentially inspire a wave of similar programs that may very well function better. Whether or not Descript is right for you, what’s undeniable is that this program is the start of something amazing.

James M Lane, AINS was born into this world without his consent an ornery 60 year old man with a full beard. He has worked in the insurance industry for the last half decade, and was a foreign language preschool teacher for years before that. He writes horror in his spare time. Follow him on Instagram for deliberations on pro wrestling and beards.

Tech News

Want to know how your passwords could get hacked?

(TECH NEWS) While we all know that passwords can be hacked, it is rare that we know how they’re hacked.

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Ever wonder how passwords get stolen? I like to imagine a team of hackers like The Lone Gunmen from The X-Files, all crowded in some hideout conducting illegal computer business based on tips from rogue FBI Agents.

Turns out there’s a little more to hacking than waiting for Fox Mulder to show up with hints.

Most of the common tactics involve guessing passwords utilizing online and offline techniques to acquire entry. One of the main methods is a dictionary attack.

This method automatically tries everything listed in a small file, the “dictionary,” which is populated with common passwords, like 123456 or qwerty. If your password is something tragically simple, you’re out of luck in a dictionary attack.

To protect yourself, use strong single-use passwords for each individual account. You can keep track of these with a password manager, because no one is expecting you to remember a string of nonsensical numbers, letters, and characters that make up a strong password.

Of course, there are still ways for hackers to figure out even complex passwords.

In a brute force attack, every possible character combination is tried. For example, if the password is required to have at least one uppercase letter and one number, a brute force attack will meet these specifications when generating potential passwords.

Brute force attacks also include the most commonly used alphanumeric combinations, like a dictionary attack. Your best bet against this type of attack is using extra symbols like & or $ if the password allows, or including a variety of variables whenever possible.

Spidering is another online method similar to a dictionary attack. Hackers may target a specific business, and try a series of passwords related to the company. This usually involves using a search “spider” to collate a series of related terms into a custom word list.

While spidering can be devastating if successful, this kind of attack is diverted with strong network security and single-use passwords that don’t tie in easily searchable personal information.

Malware opens up some more fun options for hackers, especially if it features a keylogger, which monitors and records everything you type. With a keylogger, all your accounts could potentially be hacked, leaving you SOL. There are thousands of malware variants, and they can go undetected for a while.

Fortunately, malware is relatively easy to avoid by regularly updating your antivirus and antimalware software. Oh, and don’t click on sketchy links or installation packages containing bundleware. You can also use script blocking tools.

The delightfully named (but in actuality awful) rainbow table method is typically an offline attack where hackers acquire an encrypted list of passwords. The passwords will be hashed, meaning it looks completely different from what you would type to log in.

However, attackers can run plaintext passwords through a hashtag algorithm and compare the results to their file with encrypted passwords. To save time, hackers can use or purchase a “rainbow table”, which is a set of precomputed algorithms with specific values and potential combinations.

The downside here is rainbow tables take up a lot of space, and hackers are limited to the values listed in the table. Although rainbow tables open up a nightmare storm of hacking potential, you can protect yourself by avoiding sites that limit you to very short passwords, or use SHA1 or MD5 as their password algorithms.

There’s also phishing, which isn’t technically hacking, but is one of the more common ways passwords are stolen. In a phishing attempt, a spoof email requiring immediate attention links to a fake login landing page, where users are prompted to input their login credentials.

The credentials are then stolen, sold, used for shady purposes, or an unfortunate combination of all the above. Although spam distribution has greatly increased over the past year, you can protect yourself with spam filters, link checkers, and generally not trusting anything requesting a ton of personal information tied to a threat of your account being shut down.

Last but certainly not least, there’s social engineering. This is a masterpiece of human manipulation, and involves an attacker posing as someone who needs login, or password, building access information. For example, posing as a plumbing company needing access to a secure building, or a tech support team requiring passwords.

This con is avoidable with education and awareness of security protocol company wide. And also you know, not providing sensitive information to anyone who asks. Even if they seem like a very trustworthy electrician, or promise they definitely aren’t Count Olaf.

Moral of the story? Your passwords will never be completely safe, but you can take steps to prevent some avoidable hacking methods.

Always have a single-use password for each account, use a password manager to store complex passwords, update malware, keep your eye out for phishing attempts, and don’t you dare make your password “passoword.”

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Tech News

Should social networks fear Jumbo, the new privacy app?

(TECHNOLOGY) Although iOS only (for now), Jumbo has launched and could put a dent in some of the nefariousness of social media networks…

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Like virtually every other online outlet, we’ve both talked about web and app privacy and complained bitterly about the invariable fall of online rights. However, while we’ve been talking the talk, a company called Jumbo has been cyber-walking the cybersecurity walk.

Jumbo – an iPhone app focused on keeping your online trails as private as possible – has a simple premise: allowing social media users to manage their online privacy with a few taps rather than having to navigate each individual service’s infuriatingly complex labyrinth of privacy settings. Instead of having to visit each individual app you want to clean up, you can simply open Jumbo, select your preferences, and wait for the magic to happen.

Jumbo’s features range from cleaning up social media timelines and old posts to erasing entire searches or resetting privacy information; while it currently varies depending on the social media service in question, Jumbo’s one commonality is its simplicity.

The star of Jumbo’s presentation is its aptly-named Cleaning Mode—a feature which allows users to wipe anything from tweets to old Google searches. Jumbo’s developers also assure users that the ability to remove things like Facebook photos is in the works, making Jumbo’s efforts to clean up your digital life that much more ubiquitous.

It is worth noting that some users have encountered limitations on the number of tweets they can delete, so you may have to batch-remove information until this bug is resolved.

When using Jumbo, you’ll also find an encrypted back-up feature that allows you to download—or use cloud storage for—old photos and files. It isn’t as dramatic as Jumbo’s primary functions, but anyone looking to make a dent in purging their online footprints will surely benefit from being able to encrypt and save their information for a rainy day through one interface.

At the time of this writing, Jumbo is prepared to assist with privacy options related to Facebook, Twitter, Google, and Amazon Alexa, but the app’s developers intend to incorporate support for platforms such as Tinder and Instagram in the future.

While Jumbo is currently restricted to iPhones, Jumbo’s maker Pierre Valade has mentioned that an Android version is “on [their] list”. In the meantime, iPhone users should strongly consider taking Jumbo for a spin.

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How to opt out of Google’s robots calling your business phone

(TECH) Google’s robots now call businesses to set appointments, but not all companies are okay with talking to an artificial intelligence tool like a person. Here’s how to opt out.

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You know what’s not hard? Calling a restaurant and making a reservation. You know what’s even easier? Making that reservation though OpenTable. You know what we really don’t need, but it’s here so we have to deal with it? Google Duplex.

Falling under “just because we can do it, doesn’t mean we should do it,” Duplex, Google’s eerily human-sounding AI chat agent that can arrange appointments for Pixel users via Google Assistant has rolled out in several cities including New York, Atlanta, Phoenix, and San Francisco which now means you can have a robot do menial tasks for you.

There’s even a demo video of someone using Google Duplex to find an area restaurant and make a reservation and in the time it took him to tell the robot what to do, he could’ve called and booked a reservation himself.

Aside from booking the reservation for you, Duplex can also offer you updates on your reservation or even cancel it. Big whoop. What’s difficult to understand is the need or even demand for Duplex. If you’re already asking Google Assistant to make the reservation, what’s stopping you from making it yourself? And the most unsettling thing about Duplex? It’s too human.

It’s unethical to imply human interaction. We should feel squeamish about a robo-middleman making our calls and setting our appointments when we’re perfectly capable of doing these things.

However, there is hope. Google Duplex is here, but you don’t have to get used to it.

Your company can opt out of accepting calls by changing the setting in your Google My Business accounts. If robots are already calling restaurants and businesses in your city, give your staff a heads-up. While they may receive reservations via Duplex, at least they’ll be prepared to talk to a robot.

And if you plan on not opting out, at least train your staff on what to do when the Google robots call.

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