The Future of the Web Is Marketing Copy Generated by Algorithms

AS WE MOVE further into the 21st century, more and more aspects of our lives are being controlled by algorithms. Facebook decides which posts we see in our newsfeed, Google shows us the results of our searches based on their complex ranking system, and Amazon recommends products based on our past purchase history. It’s no wonder then that online marketing is becoming increasingly reliant on algorithms to create effective copywriting. So what does the future hold for the web—will marketing be dominated by machines, or will human creativity always be necessary? Read on to find out …

No human wrote that intro. It was generated by software from the copywriting service Jasper, inspired by the headline on this article. The first suggestion was too brief and lacked detail. The second, reproduced verbatim above, caused an editor to exclaim that she had received worse copy from professional writers.

Jasper can also generate content tuned for Facebook ads, marketing emails, and product descriptions. It’s part of a raft of startups that have adapted a text-generation technology known as GPT-3, from the artificial-intelligence company OpenAI, to feed one of the internet’s oldest urges—to create marketing copy that wins clicks and ranks highly on Google. Read More

#nlp

Xanadu Launches Borealis, a 216 Squeezed-state Quibit Photonic Processor

Xanadu, a Toronto based quantum computing startup, has released their Borealis processor and has made it available on the Xanadu Cloud. They will also make it available soon on the Amazon Braket cloud service. In addition, Xanadu has demonstrated Quantum Supremacy with this device by running a Random Number Sampling experiment on it use Gaussian Boson Sampling. This demonstration is similar to those performed by Google in October 2019 with their superconducting based device and also by the University of Science and Technology China (USTC) with their Gaussian Boson Sampler in December of 2020. Read More

#quantum

Google quietly bans deepfake training projects on Colab

Google has quietly banned deepfake projects on its Colaboratory (Colab) service, putting an end to the large-scale utilization of the platform’s resources for this purpose.

Colab is an online computing resource that allows researchers to run Python code directly through the browser while using free computing resources, including GPUs, to power their projects.

… Based on archive.org historical data, the ban took place earlier this month, with Google Research quietly adding deep fakes to the list of disallowed projects. Read More

#fake

NEW Tesla Robot Price & Release Date JUST LEAKED!

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#robotics, #videos

Human Vs. Artificial Intelligence: Why Finding The Right Balance Is Key To Success

elcome to the age of blended workforces, where intelligent machines and humans combine to accelerate business success.

In short, now that we have increasingly capable robots and artificial intelligence (AI) systems – capable of taking on tasks that were previously the sole domain of humans – it’s easier than ever for organizations to leverage intelligent machines. But this leaves employers with some major questions to answer: how do we find the right balance between intelligent machines and human intelligence? What roles should be given over to machines? And which roles are best suited to humans? Read More

#augmented-intelligence

New DNA Repair Mechanism Holds Promise for Precision Cancer Therapies

Scientists at the University of Birmingham and the Francis Crick Institute have discovered a new way in which cancer cells repair double-stranded breaks in DNA.

The findings were published in a paper titled,”H3K4 methylation by SETD1A/BOD1L facilitates RIF1-dependent NHEJ,” in the journal Molecular Cell on May 19, 2022. The work sheds light on how cancer cells respond to chemotherapy and radiotherapy, including how cancer cells may develop resistance to treatment. These insights could help develop precision medicine approaches for cancer patients. Read More

#human

There’s no such thing as data

Data is the new oil, we are told. Every country needs a data strategy, and all of us should own our data, and be paid for it. But really, there is no such thing as data, it’s not yours, and it’s not worth anything.

Technology is full of narratives, but one of the loudest is around something called ‘data’. AI is the future, and it’s all about data, and data is the future, and we should own it and maybe be paid for it, and countries need data strategies and data sovereignty. Data is the new oil!

This is mostly nonsense. There is no such thing as ‘data’, it isn’t worth anything, and it doesn’t really belong to you anyway.

Most obviously, ‘data’ is not one thing, but innumerable different collections of information, each of them specific to a particular application, that aren’t interchangeable. Siemens has wind turbine telemetry and Transport for London has ticket swipes, and you can’t use the turbine telemetry to plan a new bus route. If you gave both sets of data to Google or Tencent, that wouldn’t help them build a better image recognition system. Read More

#artificial-intelligence, #data-lake

The Subversive Trilemma: Why Cyber Operations Fall Short of Expectations 

Although cyber conflict has existed for thirty years, the strategic utility of cyber operations remains unclear. Many expect cyber operations to provide independent utility in both warfare and low-intensity competition. Underlying these expectations are broadly shared assumptions that information technology increases operational effectiveness. But a growing body of research shows how cyber operations tend to fall short of their promise. The reason for this shortfall is their subversive mechanism of action. In theory, subversion provides a way to exert influence at lower risks than force because it is secret and indirect, exploiting systems to use them against adversaries. The mismatch between promise and practice is the consequence of the subversive trilemma of cyber operations, whereby speed, intensity, and control are negatively correlated. These constraints pose a trilemma for actors because a gain in one variable tends to produce losses across the other two variables. A case study of the Russo-Ukrainian conflict provides empirical support for the argument. Qualitative analysis leverages original data from field interviews, leaked documents, forensic evidence, and local media. Findings show that the subversive trilemma limited the strategic utility of all five major disruptive cyber operations in this conflict. Read More

#cyber