#What Value does Theta Network Offer?
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Can the Theta Network (THETA) make money from video?ïżŒ
Can the Theta Network (THETA) make money from video?ïżŒ
The Theta Network (THETA) is a blockchain platform built as a content delivery mechanism for entertainment and media. The hope is that users can useâTheta to stream video and other content on any computer, mobile device, Smart TV, or Internet of Things (IoT) device. They claim some large companies including Alphabet (GOOG), Samsung, Sony, the Creative Artists Agency, Binance, Lionsgate, and MGMâŠ
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#Can the Theta Network (THETA) make money from video?#Digital Based Rights Management#Enterprise Validator Nodes#The Theta Metachain#Theta Fuel (TFUEL)#Theta Network (THETA)#Theta Smart Contracts#Theta Token (THETA)#Theta Video Technology#Turing-Complete Smart Contracts.#What Value does the Theta Network (THETA) offer?
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Triple Keto | Triple Naturals Keto | 3 Naturals Triple Keto
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Optimization techniques in Data Science
Data science is a relatively new field that focuses on the analysis of large amounts of data via a variety of methods to make the data more intelligible. To comprehend the field of data science, we will need a solid foundation in the following three areas of knowledge: statistics, linear algebra, and optimization.
However, in today's article, we will understand Optimization and its various techniques in data science. Let's get started and before we jump directly to the techniques, let us understand what exactly optimization is.
Optimization: Brief Introduction
The term "optimization" refers to a process or method that is utilized to determine which solution is the most effective. The requirement will determine whether its value is the minimum or the maximum for that category. For instance, if a company is required to find a means to make a maximum return on their products, then perhaps the condition will be maximum. On the other hand, if the company wants to discover a technique by which their business earns the least product cost on production, then the need will be minimal.
Various Optimization Techniques in Data Science
Let us now look into the various optimization techniques in data science. Here they are:
Gradient Descent
The gradient descent approach is currently the method of choice when it comes to optimization. The objective of this tactic is to update the variables in an iterative manner in a way that is diametrically opposed to the way in which the gradients of the objective function move. This strategy directs the model to discover the target with each update, and it eventually converges to the value that is optimal for the objective function.
Stochastic Gradient Descent
The stochastic gradient descent (SGD) algorithm was developed as a solution to the problem of the high computing cost involved in each iteration of the process when dealing with enormous amounts of data. The equation can be written as follows:
Back-propagation refers to the process of taking the values and iteratively modifying them depending on a variety of parameters to lower the loss function.
Instead of directly calculating the exact value of the gradient, this approach updates the gradient (theta) by randomly using one sample at each iteration. This is done in place of directly calculating the gradient's value. The stochastic gradient is an approximation of the true gradient that does not take into account any outside factors. This optimization approach cuts down on the amount of time needed to do an update when working with a big number of samples, and it also gets rid of some redundant computational work.
The Technique of Adaptive Learning Rate
Learning rate is one of the primary hyperparameters that is optimized during the process. The model's behavior depends on the learning rate, which determines whether it will pass over particular sections of the data. When the learning rate is high, there is a possibility that the model will overlook more nuanced parts of the data. If it is low, then it is preferable for applications that take place in the real world. The rate of learning has a significant impact on the Stochastic Gradiant Descent (SGD). It can be difficult to determine what the optimal value of the learning rate should be. It was suggested that adaptive approaches could automatically do this tweaking.
In Deep Nerual Networks (DNNs), the adaptive forms of SGD have seen widespread application. Methods such as AdaDelta, RMSProp, and Adam all make advantage of exponential averaging to offer accurate updates while still keeping the process as straightforward as possible.
Weights that have a steep gradient will have a slow learning rate, and vice versa. This is known as the adagrad formula.
RMSprop modifies the Adagrad method in such a way that it slows the rate at which it monotonically decreases the amount learned.
Adam is virtually identical to RMSProp, except that he possesses momentum.
The Alternating Direction Method of Multipliers, sometimes known as ADMM, is an additional alternative to the Stochastic Gradient Descent method (SGD)
The learning rate is not predetermined in either the gradient descent or AdaGrad approaches, which is the key distinction between the two. The computation for it makes use of all of the historical gradients that have been accumulated up to the most recent iteration.
Method of the Conjugate Gradient
The conjugate gradient (CG) method is applied in the process of solving nonlinear optimization issues in addition to large-scale linear systems of equations. A slow convergence speed is characteristic of first-order approaches. On the other hand, the approaches of the second order require a lot of resources. An intermediate algorithm known as conjugate gradient optimization combines the benefits of first-order information with the high-order methods' ability to ensure rapid convergence.
Optimization Without the Use of Derivatives
Certain optimization problems are almost always solvable by employing a gradient, notwithstanding the possibility that the derivative of the objective function does not exist or that it is difficult to calculate. This is due to the fundamental characteristics of the issue. Derivative-free optimization enters the picture at this point to help solve the problem. Instead of deriving solutions in a methodical manner, it makes use of a heuristic algorithm that picks approaches that have previously been successful. There are numerous examples of this, some of which are genetic algorithms, particle swarm optimization, and classical simulated annealing arithmetic.
Zeroth Order Optimisation
Recent years have seen the development of derivative-free optimization's successor, zeroth order optimization, which aims to remedy the faults of its predecessor. Methods of optimization that don't use derivatives have trouble scaling up to huge problems and don't provide a way to analyze how quickly they converge on a solution.
Advantages of the Zeroth Order include the following:
Ease of implementation that requires only a minor adjustment to the gradient-based methods that are most frequently employed
Approximations of derivatives that are computationally efficient in situations when the derivatives themselves are difficult to compute
convergent rates that are comparable to those of first-order algorithms.
Final Words
With this, we come to an end for today's article. To summarize what we learned, first, we understood optimization in brief and its essence. Then, we understood the different optimization techniques in data science including Gradient Descent, Stochastic Gradient Descent, Method of Adaptive Learning, and the rest.
If you are an enthusiast and want to learn everything related to data and make a career out of it, data science is the best path you could choose for this. And when speaking of data science, we cannot leave Skillslash behind. It's more of a bridge that connects aspiring data scientists to a successful career path. Apart from having the recognition of the best data science institute in Bangalore, Skillslash has built a top-notch online presence through the Data Science Course in Bangalore with placement guarantee. Skillslash also offers Full Stack Developer Course in Bangalore with 100% Job guarantee.To know how you can benefit from it, Get in Touch with the support team.
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NMS OC, though the exosuit is outdated now since the update but wah, still good.
Exosuit
Storage Slots:Â 18
Equipment:
Jetpack, Life Support, Hazard Protection, Stamina Enhancement Theta, Shield Boost Tau, Radiation Deflector Sigma, Coolant Network Sigma, Thermic Lay Sigma
âșRace:Â Yolu
âșReputations
Oxzune has a dislike of the Korvax as a few have questioned his intelligence far too much for him to slowly develop slight insecurities about it. He tries to avoid as best he can but with the offer of units and upgraded gear he sorta has trouble refusing
Oxzune finds the Gek to fine traders and can sketch the finest blueprints. He does become wary of the ones that try to scam him but he takes what he can get. They can settle with good prices and perfect wares and if things done right, Oxzune either leaves with new plans for a base or land vehicle, or better yet a large amount of units.
Although Oxzune lacks the very strength the Vy'keen would admire and prefer, he stand greatly by them as their love for combat really interests him. Oxzune loves the thrill of battle and any large amounts of action. Any gifts from the Vy'keen is very heavily appreciated by him. Oxzune worked hard to assist and provide aid to any friend Vy'keen. Even if the task is suicidal.
âș
Friends/Enemies  Â
Name|Race|Title|Relationship|Status
Nupii|Gek|Broker|Best Friend|ALIVE
Nupii is a Broker Gek who Oxzune actually had conversation with. He would often visit the space station Nupii worked in and they'd chat about casual things or even talk about the journeys they've been on, but that'd mostly come from Oxzune. For their good friendship Nupii let's Oxzune in on a few of his good prints. Small discount of 5% and no lower. He says it's the lowest he ever went for a friend.
Rakan|Vy'keen|Recruit|Annoyance|ALIVE
As much as Oxzune admires the race of the Vy'keen there is one he does not enjoy and that's Rakan. He is a young recruit training to be a warrior within his star system and always wishes to travel. Now thinking he enjoys action as much as Oxzune they'd get along get fine but the problem with him is that he actually useless. He is what would be considered a bit of a screw up and he can never keep up with what Oxzune throws at him. He tries to learn to impress his brothers and Oxzune but it doesn't always cut it. Oxzune does however continue to assist him with certain task if they can be tricky. He slowly improves which can be tedious for our Traveler.
Yol the Wounded|Vy'keen|Warrior|Idol|ALIVE
Yol is Oxzune greatest idol as he has told stories and brought souvenirs of clashes and adventures he went on. He is said to have taken out a whole freighter by himself when his team was shot down and his shields were broken. He mourns greatly for them but whenever asked to tell a story of the sights he had seen, they would go for hours. Oxzune and Rakan would often find him at his base on Yumilop, a rather barren desert planet. He says he likes it empty so he can always see things his own way for once. Without things clouding his already poor vision.
Te'zahn Zhur|Sagra|Traveler|Acquainted Friend|ALIVE
Oxzune and Te'zahn met while doing a task for a Korvax named Hywer. Te'zahn was a wiz with technology and engineering while Oxzune brought the guns. Collecting and harvesting items for certain device Hywer was building, they ended up getting in high trouble with some sentinels. It got worse once the bipedal walkers came and it truly time to book it. But unfortunaly, they were cornered and Oxzune was low on ammo. Quickly, Te'zahn crafted a Bolt Caster for Oxzune's multitool and down went the walker with just enough time for to make it to cover and then their ships. Oxzune follows the Vy'keen honor, returning favors and insisted on giving him something in return. A ship upgrade, a better multitool, anything of high value. Te'zahn declined Oxzune's offer, but he promised the next time they meet he will surely give him something great.
Quhen|Jio|Traveler|Closest Friend|UNKNOWN
Quhen is Oxzune's bestest closest friend. She used to be a rival of his for a short time as long before she was a bit of a pirate. She grabbed whatever looked valuable and would go after ships that carried large cargo but not too often. She attended to rob Oxzune of his items but was impressed with his combat skills in space. They decided to duel on ground and it was almost as if they were evenly matched. Not to mention her oddly polite and sweet personality. Quhen was kind and a but snarky, but it seems she wasn't going to try and kill Oxzune then and there. With the chance of alerting authorities of Quhen's attempted robbery, he didn't take it. He let her off with a warning a hope that they come across each other again. Quhen admitted that his works with his multi-tool and close combat was truly impressive and hoped they'd cross paths too. Though not wanting to miss a chance of fighting him again, Quhen gave him her number to be able to contact her whenever they were traveling. For what would be almost a few years they would practice fight and call each other, talking more and more of each other's adventures, eventually they turned personal and they shared almost everything together. Quhen stopped plundering ships and bases and decided to use her skill for tasks and maybe being a possible bounty hunter. Possibly. One day Oxzune, Rakan, and Quhen fought off a pirate fleet. They had the upper hand until a strange blast of what was thought to be a vessel exiting hyper-space confused everyone. The bright rays engulfed everyone and Oxzune did his best to tell his team to make a jump in hopes to escape. When they did, Rakan called in from another star system 50 lightyears away from Oxzune's location. For Quhen however, she didn't report in. The signal would buzz and go through but die after a second. Rakan insisted she be label deceased but Oxzune just thinks she jumped way far off or possibly fried something from the blast. He holds hope she's somewhere. But where?
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The pandemic is already reshaping techâs misinformation crisis
Since 2016, social media companies have faced an endless barrage of bad press and public criticism for failing to anticipate how their platforms could be used for dark purposes at the scale of populations â undermining democracies around the world, say, or sowing social division and even fueling genocide.
As COVID-19 plunges the world into chaos and social isolation, those same companies may face a respite from focused criticism, particularly with the industry leveraging its extraordinary resources to pitch in with COVID-19 relief efforts as the world looks to tech upstarts, adept at cutting through red tape and fast-forwarding scientific progress in normal times, while government bureaucracies lag. But the same old problems are rearing their ugly heads just the same, even if less of us are paying attention.
On YouTube, a new report from The Guardian and watchdog group Tech Transparency Project found that a batch of videos promoting fake coronavirus cures are making the company ad dollars. The videos, which promoted unscientific methods including âhome remedies, meditative music, and potentially unsafe levels of over-the-counter supplements like vitamin Câ as potential treatments for the virus, ran ads from unwitting advertisers including Liberty Mutual, Quibi, Trumpâs 2020 reelection campaign and Facebook. In Facebookâs case, a banner ad for the company ran on a video suggesting music that promotes âcognitive positivity by using subtle yet powerful theta wavesâ could ward off the virus.
In the early days of the pandemic, YouTube prohibited ads on any videos related to the coronavirus. In mid-March, as the real scope of the event became clear, the company walked that policy back, allowing some channels to run ads. On Thursday, the company expanded that policy to allow ads for any videos that adhere to the companyâs guidelines. One of the major tenets in those guidelines forbids the promotion of medical misinformation, including âpromotion of dangerous remedies or cures.â Most of the videos in the new report were removed after being flagged by a journalist.
This example, and the many others like it, calls into question how to judge major tech platforms during these exceedingly strange times. Social media companies have been uncharacteristically transparent about the shifts the pandemic is creating within their own workflows. On a call in March, Facebook founder Mark Zuckerberg admitted that, with its army of 15,000 contract moderators sent home on paid leave, users can expect more âfalse positivesâ as the company shifts to rely more heavily on artificial intelligence to filter what belongs on the platform and what does not. The work of sorting through a platformâs most unsavory content â child pornography, extreme violence, hate speech and the like â is not particularly portable, given its potential psychological and legal ramifications.
YouTube similarly warned that it will âtemporarily start relying more on technologyâ to fill in for human reviewers, warning that the automated processes will likely mean more video removals, âincluding some videos that may not violate policies.â Twitter noted the same new reliance on machine learning âto take a wide range of actions on potentially abusive and manipulative content,â though the company will offer an appeals process that loops in a human reviewer. Companies offered fewer warnings about what might fall through the cracks in the interim.
What will become of moderation once things return to normal, or, more likely, settle on a new normal? Will artificial intelligence have mastered the task, obviating the need for human reviewers once and for all? (Unlikely.) Will social media companies have a fresh appreciation for the value of human efforts and bring more of those jobs in-house, where they can perform their bleak work with more of the sunny perks afforded to their full-time counterparts? Like most things examined through the nightmarish haze of the pandemic, the outcomes are hazy at best.
If the approach to holding platforms to account was already piecemeal, an uneven mix of investigative reporting, anecdotal tweets and official corporate post-mortems, the truth will be even more difficult to get at now, even as the coronavirus pandemic provides countless new deadly opportunities for price-gougers and myriad bad actors to create chaos within chaos.
Weâve seen deadly consequences already in Iran, where hundreds died after drinking industrial alcohol â an idea they got âin messages forwarded and forwarded againâ amplifying a tabloid story that suggested the act could protect them from the virus. Most consequences will likely go unnoticed beyond the lives they impact and unreported due to tightened newsroom resources and perhaps even more constricted attention spans.
Much has been written about the coronavirus and the fog of war, most of it rightly focused on scientific research pressing on as the virus threatens the globe and the devastating on-the-ground reality in hospitals and health facilities overwhelmed with COVID-19 patients while life-saving supplies dwindle. But the crisis of viral misinformation â and deliberately sown disinformation â is its own fog, now intermixing with an unprecedented global crisis that has entirely upended business and relentlessly dominated the news cycle. This as the worldâs foremost power heads into a completely upended presidential election cycle â its first since four years ago, when an unexpected election outcome coupled with deep U.S.-centrism in tech circles revealed nefarious forces at play just under the surface of the social networks we hadnât thought all that much about.
In the present, it will be difficult for outsiders to determine where new systems implemented during the pandemic have failed and what bad outcomes would have happened anyway. To sort those causes out, weâll have to take a companyâs word for it, a risky kind of credulity that already offered mixed results in normal times. Even as we rely on them now more than ever to forge and nurture connections, the virtual portals we immerse ourselves in daily remain black boxes, inscrutable as ever. And as with so many aspects of life in these norm-shattering times, the only thing to expect is change.
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Since 2016, social media companies have faced an endless barrage of bad press and public criticism for failing to anticipate how their platforms could be used for dark purposes at the scale of populationsâundermining democracies around the world, say, or sowing social division and even fueling genocide.
As COVID-19 plunges the world into chaos and social isolation, those same companies may face a respite from focused criticism, particularly with the industry leveraging its extraordinary resources to pitch in with COVID-19 relief efforts as the world looks to tech upstarts, adept at cutting through red tape and fast-forwarding scientific progress in normal times, while government bureaucracies lag. But the same old problems are rearing their ugly heads just the same, even if less of us are paying attention.
On YouTube, new report from The Guardian and watchdog group Tech Transparency Project found that a batch of videos promoting fake coronavirus cures are making the company ad dollars. The videos, which promoted unscientific methods including âhome remedies, meditative music, and potentially unsafe levels of over-the-counter supplements like vitamin Câ as potential treatments for the virus, ran ads from unwitting advertisers including Liberty Mutual, Quibi, Trumpâs 2020 reelection campaign and Facebook. In Facebookâs case, a banner ad for the company ran on a video suggesting music that promotes âcognitive positivity by using subtle yet powerful theta wavesâ could ward off the virus.
In the early days of the pandemic, YouTube prohibited ads on any videos related to the coronavirus. In mid-March, as the real scope of the event became clear, the company walked that policy back, allowing some channels to run ads. On Thursday, the company expanded that policy to allow ads for any videos that adhere to the companyâs guidelines. One the major tenets in those guidelines forbids the promotion of medical misinformation including âpromotion of dangerous remedies or cures.â Most of the videos in the new report were removed after being flagged by a journalist.
This example, and the many others like it, calls into question how to judge major tech platforms during these exceedingly strange times. Social media companies have been uncharacteristically transparent about the shifts the pandemic is creating within their own workflows. On a call in March, Facebook founder Mark Zuckerberg admitted that users can expect more âfalse positivesâ as the company shifts to rely more heavily on artificial intelligence to filter what belongs on the platform and what does not with its army of 15,000 contract moderators sent home on paid leave. The work of sorting through a platformâs most unsavory contentâchild pornography, extreme violence, hate speech and the likeâis not particularly portable, given its potential psychological and legal ramifications.
YouTube similarly warned that it will âtemporarily start relying more on technologyâ to fill in for human reviewers, warning that the automated processes will likely mean more video removals âincluding some videos that may not violate policies.â Twitter noted the same new reliance on machine learning âto take a wide range of actions on potentially abusive and manipulative content,â though the company will offer an appeals process that loops in a human reviewer. Companies offered fewer warnings about what might fall through the cracks in the interim.
What will become of moderation once things return to normal, or, more likely, settle on a new normal? Will artificial intelligence have mastered the task, obviating the need for human reviewers once and for all? (Unlikely.) Will social media companies have a fresh appreciate for the value of human efforts and bring more of those jobs in-house, where they can perform their bleak work with more of the sunny perks afforded to their full-time counterparts? Like most things examined through the nightmarish haze of the pandemic, the outcomes are hazy at best.
If the approach to holding platforms to account was already piecemeal, an uneven mix of investigative reporting, anecdotal tweets and official corporate post-mortems, the truth will be even more difficult to get at now, even as the coronavirus pandemic provides countless new deadly opportunities for price-gougers and myriad bad actors to create chaos within chaos.
Weâve seen deadly consequences already in Iran, where hundreds died after drinking industrial alcoholâan idea they got âin messages forwarded and forwarded againâ amplifying a tabloid story that suggested the act could protect them from the virus. Most consequences will likely go unnoticed beyond the lives they impact and unreported due to tighetened newsroom resources and perhaps even more constricted attention spans.
Much has been written about the coronavirus and the fog of war, most of it rightly focused on scientific research pressing on as the virus threatens the globe and the devastating on-the-ground reality in hospitals and health facilities overwhelmed with COVID-19 patients while life-saving supplies dwindle. But the crisis of viral misinformationâand deliberately-sown disinformationâis its own fog, now intermixing with an unprecedented global crisis that has entirely upended business and relentlessly dominated the news cycle. This as the worldâs foremost power heads into a completely upended presidential election cycleâits first since four years ago, when an unexpected election outcome coupled with deep U.S.-centrism in tech circles revealed nefarious forces at play just under the surface of the social networks we hadnât thought all that much about.
In the present, it will be difficult for outsiders to determine where new systems implemented during the pandemic have failed and what bad outcomes would have happened anyway. To sort those causes out, weâll have to take a companyâs word for it, a risky kind of credulity that already offered mixed results in normal times. Even as we rely on them now more than ever to forge and nurture connections, the virtual portals we immerse ourselves in daily remain black boxes, inscrutable as ever. And as with so many aspects of life in these norm-shattering times, the only thing to expect is change.
from Social â TechCrunch https://ift.tt/39FU3A3 Original Content From: https://techcrunch.com
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How does one go about beating a nicotine test for a life insurance policy?
"How does one go about beating a nicotine test for a life insurance policy?
Its a cotton swab test, not a urine test.
BEST ANSWER:Â Try this site where you can compare quotes: : http://averageinsurancecosts.xyz/index.html?src=tumblrÂ
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How does one go about beating a nicotine test for a life insurance policy?
Its a cotton swab test, not a urine test.
Can you register and buy a (cheap) car with no license or insurance?
I want to know if i can register a very cheap car thats around 2,000 tops at a used car lot and buy it with no problems.What problems will i face isnt it easyier to get a cheap car like this then at a actual new dealer i have no license or insurance do i pick a dealer with in house financing the only thing they will most likely ask for is it to get registered can i do that im paying half down.?im 21 im getting my license in 2 weeks (and no i cant wait)""
Car insurance company discriminate against me because I was not born in the UK?
I had a quote for car insurance through a well-known national company. They were aware I had a UK licence for 5 years and had no convictions, claims etc. I rang and spoke to a representative and she confirmed the quote. The following day I decided to accept and called them. We went through my information and the agent said, so you were born in the UK? I said no, I am a UK citizen but I was born abroad. The quote then went up by 200 !!!! I took issue and spoke to a manger who said this was legitimate when I told him I was certain it was illegal since the only information that had changed was my place of birth, he eventually said he would honour the original quote. I then bought the policy with a one-off payment. Insurance is a racket and I don't think they should be alllowed to get by with this. Does anyone know anything about this and what can be done next to make sure it doesn't happen to other people?""
What is the best type of life insurance to purchase?
I know nothing about life insurance but I would like to buy some to assure me and my kids will be taken care of in the event my husband passes. He only has one 1 issue which is Rheumatoid arthritis, otherwise in good health. . Me and my husband are both close to 50 years old. What is the best insurance to purchase? I know that term insurance expires. Does that mean if you do not pass within the term you do not get any money back that you have paid into it?. Thinking about a 250.000 dollar policy. Thank you.""
I'm a first time driver and need an insurance company that is cheap! Any recomendations?
Passed my driving test today and I am looking for cheap insurance (like everyone else!) and I am hoping some wonderful people can help me out! I currently have a 1.25 ford fiesta from 2001. I am male, 17 years old and require my own policy. I appreciate any help :)""
Where can I buy 1-day car insurance?
I have my car parked in a storage facility in LA, CA and I want to sell it, but I don't have insurance to cover my drive from storge to the dealership. I've looked online for temporary/1-day car insurance but all the ones I find are the the UK. Does anyone know of any companies that offer temporary car insurance? Thanks!!""
How do i get affordable health insurance in new york?
I make 40k a year but i live in nyc so i cant afford a standard plan. Just need for myself 37 yr old male Thanks
What is the best/cheap dental isurance?
What is the best and cheapest dental insurance in CA for someone who isnt married or have kids is on a tight budget, and needs major exstensive dental work including cosmetic and anestesia?""
How to get cheaper car insurance?
im 17 and just passed my driving test, Ive got a 1.4l Peugeot 106 but I can't find car insurance any cheaper than about 3500 no matter where I look! I've spent hours looking online but it's all too expensive. Anyone know any cheaper insurance companies or have any tips??""
Car Insurance for teens?
ok so i need to get insurance for my car asap how long if i call today and pay for everything over the phone how long until i am covered? Do they have to send me a card which means i have to wait to drive until i get it?
Hello! Car insurance question!!?
I'm an 18 year old female, just got my license. My boyfriends dad is giving me his old 95' Hyundai accent. It's got 167,000 miles on it. However, I have to get my own insurance. Can anyone tell me the best cheapest places to get insurance and how much a estimate would cost?""
Im 19 years and i need a car but im woried about the insurance?
Hi im 19 years old. I have a good job but no credit. i recently saw this 2000 dollars car. how much could i be paying for the insurance.
Do I have to have a job that offers dental insurance to get it?
how do I find an easy and affordable dental insurace that will aceept people that are self-employed?
Where can I find public actuary data for car insurance?
where can I find public actuary data for car insurance. i need that to develop models
Could I swap my 50cc scooter's insurance to another bike?
Hey everyone, I was wondering if I sold or swapped my 50cc scooter and got a 50cc geared bike could I get the insurance from the scooter and put it on the new geared 50cc? If so would it affect anything? or cost me money? Would be a massive help if someone could help me out! Thank you for advance :) Information which might be helpful: I paid for 1 year in one payment (annually). I paid for the insurance last month so I still have a lot of insurance time left. Don't want to waste money!""
Best insurance for Male 18-24?
What is the best type of insurance for a male 18-24. There is a basic prepaid one for $1200 (upfront) but my rates double if I get a speeding ticket etc.. Then there is the traditional one from my bank but that's $300 a month and I can't do that. What type should I be looking for? Also, is it worth it to get the cheap insurance if my rates could potentially double? Could I fight them doubling my rates. I don't plan on speeding but wow. 04-06 Hyundai Elantra GLS/GT.""
""Add a teen to auto insurance policy, please help.?""
My dad is getting ready to renew his car insurance, I got my learner's permit in December of last year, and I do drive the car a lot, (with him of course....or not) but if he include me on his policy his premium will be over $1000, move like $1400 - $2000. Just because he added me to his policy, and his insurance company told him he HAVE TO include me on his policy, but I heard some where if you have a learner's permit, you do not require to be on your parent insurance policy? Or something like that......Is this true? Normally his car insurance only cost like $480.00/per 6 months, I hate for him to make me go out to get a job just to pay the car insurance and to drive.""
17 year old car insurance?
Ive got a car and should (hopefully!) be passing my test soon but for reasons to complicated to list here lol I will only be able to drive it 2 weeks in easter time, 2 weeks in christmas time, 5 weeks around august and 4 days every 5 weeks, so by my bad maths thats just over 100 days. Are there any insurance companies for a 17 year old that you can get a fixed amount of days insurance, it seems such a waste to pay for 365 days if im only going to be able to use it for just under a third of the time. I read about some companies doing 60 or 90 days for young drivers but that might have been me mis-reading it, anyone hear about anything like that? Ive tried lowering the amount of miles on quotes but that hasnt reduced the price by much at all. I was hoping for quite a substantial saving. Any help would be greatly appreciated, Thanks.""
What used vehicles are the cheapest to insure for new drivers?
My daughter just turned 16 and we are looking for an inexpensive used vehichle for her to drive. Insurance is unreal. What vehichles are the cheapest to insure?
Why is 6 months of the cheapest car insurance $700? What would be the cheapest provider for me?
Details: Im 19, Had my license for 1.5 years, no accidents, live in an apartment with 2 room mates, good credit, have a 1997 dodge stratus es 4 door, and in college. What would be the cheapest provider to make it legal? Also, are there any tricks I can use to make it cheaper?""
Car Insurance in Connecticut?
I just got my license back after my first DUI arrest over a year ago. I want to get a car but insurance would be around $5,000 a year for a car that only costs $1,500. Does anyone know what the laws are in CT about car insurance and if I need it to drive my own car. Does the car need to be insured to be on the road?""
What would be the insurance of a teen driving a 2004 Toyota Camry?
My 16 year old daughter just got her lisence and i want to put her on insurance right away. I just need the range of about how much this would cost me.
Car insurance?
I have only liability insurance. If I rented a car will liability only insurance cover the car if I got in an accident or do I need to have full coverage?
What is the cheapest motorcycle insurance?
what is the absolute most shitty dirt cheap motorcycle insurance you can buy in the state of california?
Does anyone know any cheap insurance companies for me.?
i got my boyfriend a street bike and its under my name so the insurance has to be under my name to.
Health insurance for pregnant women?
Does anyone know a good (and inexpensive) insurance provider for pregnant women?
How does one go about beating a nicotine test for a life insurance policy?
Its a cotton swab test, not a urine test.
https://www.linkedin.com/pulse/3xd-home-insurance-quote-lawrence-curtis/"
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Can the Theta Network (THETA) make money from video?
Can the Theta Network (THETA) make money from video?
The Theta Network (THETA) is trying to to build a decentralized peer-to-peer video delivery system on a new native blockchain. The hope at Theta is to deliver quality videos streams at lower costs by increasing video delivery bandwidth. They hope to increase the bandwidth by paying users to give their excess bandwidth to the Theta network. The ultimate goal of the Theta Network is to deliverâŠ
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#Can the Theta Network (THETA) make money from video?#How Much Money could the Theta Network make?#The Theta Blockchain#The Theta Metachain#Theta is an End-to-End Platform#Theta Network (THETA)#Theta Network Technology#What Value does Theta Network Offer?
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Diary of a Madman, Page 36
10,800 people peering inside, youâre one of the chosen.
I. This Weekâs Analyses
Last week was Health week on Humanizing Tech. Itâs one of those things that nobody seems to care about until something goes wrong. And then itâs all you care about. Just like oxygen. And hearing someoneâs voice after theyâre already gone.
Be sure to check out all our health-related stories through our tag: Health. And for the newest analyses, along with one from our newest contributor, have at it:
Elonâs Neural Lace May Kill You [The Mission, Featured]: we show off our Biologic Intelligence emulator visualization when what we predict could go back with Neural Laces, does.
The Future of the Stethoscope, or Not [Jonathan Kanevsky]: a fun story from our newest contributor, an MD, whoâs got another coming this week.
Sports Wearables, Same or Different? [fountainhead]: MLB-approved WHOOP band versus the Apple Watch.
Musk Versus Johnson: Neural Lace Race [fountainhead]: the two entrepreneurs fighting for in-brain mesh supremacy.
Connectome: 3 New Stars in My Accessories Constellation [Antoine RJ Wright]: interesting products for unlocking your creativity and connections capability.
AR Car . Mobile Nuclear Reactor . Spray-On Solar [fountainhead, free]: sharing the most important stories of the day in a new experiment for what type of content you like delivered to your inbox best.
AI Limits . SEAL Prep . German Sun [fountainhead]: wrapping the most important stories of the day into a narrative as another experiment. We like the list version better, what do you think?
Which Startup Should You Start in Different Industries [fountainhead]: you canât just say âvideoâ or âself-drivingâ, you have to zoom in, go deep, and find the little-known, industry insider problem, then solve that.
II. Limits of Artificial, Not Biologic, Intelligence
In last weekâs Page 35 Diary entry, we linked to two stories about the limits of AI and a new possible approach offered by DARPA pointing directly at Biologic Intelligence.
This week comes with even more fodder. One from a writer funded by Google DeepMind in Scientific American who actually linked to some of Biologic Intelligenceâs old work, one from Apple, one from Uber, one on VentureBeat, and one from a VC in TechCrunch. Then thereâs Turingâs original paper.
This is only the beginning, though. As people begin to wake up to the realities of Deep Learning (i.e., pushing lots of data through an equation to get a solution to a single specific problem), they will also begin to realize its limit. Sure, it has magical properties, but when you pull back the covers and see how it works, you understand just how laborious it is for humans.
We canât say it any clearer than that. AI has some impressive capabilities, but it definitely ainât the long-term answer. Especially if we want to one day get to a humanoid robot in every house (new Bill Gates?). Our prediction is all the equations, algorithms, and techniques will eventually find its way towards Biologic Intelligence (i.e, connectomes).
In other news, our Patent Attorneys made #10 out of 100 IPÂ firms.
III. Newsworthy News
Funding: $25M A round for a logistics web app versus an $8M A round for a robotic arm and hand. Something seems amiss here for humanity. Thereâs hope, quantum computers raise $64M in two rounds. Also, Robinhoodâs latest round puts their value at $1.3B.
Big Deal: AT&T just closed the US Government for a $6.5B deal for a dedicated wireless network in case of terrorist attack for first responders.
Music: 808s and Heartbreaks, the founder of Roland passed.
Algorithmic Retail: WSJ reports a new kind of arbitrage while Amazon becomes an MCN.
Top 20 VC: as ranked by the NY Times, a fun exercise to bucket their startups into certain industries.
Space: interior of the Blue Origin spacecraft.
FinTech: a great deck by CB Insights.
Ethereum: another great deck, but this for the Enterprise.
Materials: remember a year ago when The Base Code recommended you take a look at Lithium?
Emulating Nature: Photosynthesis and Soft Robotics.
Robotics: Iron Man is now a startup.
Tech vs Fashion Magazines: interesting they all look the same?
Samurai: Bushidoâs honor in business feels a long way off these days.
Greek Letters: may we present, ladies and gentleman, Theta.
Luxury: the Rolls Royce Black Badge is no joke.
Jobs: VP Product Innovation at Netflix or the SVP Innovation at Time Warner.
Throwback: about 100 pictures of us building a live action movie set we fully self-funded that was combined into the StoryApp product. Still nobody is producing a movie to help market a tech product. Think different.
If you find it difficult to fit into some preconceived thesis, itâs likely you have invented something disruptive. By nature it doesnât fit.
â Sean
Read The Rest
35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1
Join The Fountainhead Movement for exclusive access to bleeding edge think pieces and technological inventions.
Humanizing Tech is a premium technological think tank for building humanityâs future. It covers autonomous robotics, self-learning AI, superhuman augmentation, personal hedge funds, editable DNA, SAAS space platforms, personal power stations, and video as an app. This newsletter is a peek inside the Editorâs mind.
Diary of a Madman, Page 36 was originally published in Humanizing Tech on Medium, where people are continuing the conversation by highlighting and responding to this story.
from Stories by Sean Everett on Medium http://ift.tt/2nSUItn
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