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Small Technology are everyday tools for everyday people designed to increase human welfare, not corporate profits.
Small Tech is…
easy to use
personal
private by default
share alike
peer to peer
interoperable
zero knowledge
non-commercial
non-colonial
inclusive
We believe that the fate of humanity will be decided at the frontier of technological innovation.
We will either see technology lead to a more free, open, and fair society or reinforce a global regime of centralized control, surveillance, and oppression. Our fear is that without a global, conscious, and concerted effort, the outlook is incredibly bleak.
The Internet has opened the doors for universal, cross-border, and non-violent collaborative effort to fight for our freedom. However, the Internet has also opened the doors for global surveillance and manipulation. We believe humankind should use technology as a liberating tool to unleash all the goodwill and creativity of our species, rather than as a tool to enslave and take advantage of one another.
Thus, Aragon is a fight for freedom. Aragon empowers freedom by creating liberating tools that leverage decentralized technologies.
Immediate action is required to halt the COVID-19 Pandemic and treat those it has affected. It is a practical and moral imperative that every tool we have at our disposal be applied to develop and deploy technologies on a massive scale without impediment.
We therefore pledge to make our intellectual property available free of charge for use in ending the COVID-19 pandemic and minimizing the impact of the disease.
We will implement this pledge through a license that details the terms and conditions under which our intellectual property is made available.
The only way out of our Big Tech problem is up and through. If our future is not reliant upon high tech, it will be because civilization has fallen. Big Tech wired together a planetary, species-wide nervous system that, with the proper reforms and course corrections, is capable of seeing us through the existential challenge of our species and planet. Now it's up to us to seize the means of computation, putting that electronic nervous system under democratic, accountable control.
With this, we now know the exact mRNA contents of the BNT162b2 vaccine, and for most parts we understand why they are there:
The CAP to make sure the RNA looks like regular mRNA
A known successful and optimized 5' untranslated region (UTR)
A codon optimized signal peptide to send the Spike protein to the right place (copied 100% from the original virus)
A codon optimized version of the original spike, with two 'Proline' substitutions to make sure the protein appears in the right form
A known successful and optimized 3' untranslated region
A slightly mysterious poly-A tail with an unexplained 'linker' in there
The codon optimization adds a lot of G and C to the mRNA. Meanwhile, using Ψ (1-methyl-3'-pseudouridylyl) instead of U helps evade our immune system, so the mRNA stays around long enough so we can actually help train the immune system.
"AI Explainability 360
This extensible open source toolkit can help you comprehend how machine learning models predict labels by various means throughout the AI application lifecycle. We invite you to use it and improve i"
"We are a five-person team concerned about the ways our communities' digital information is collected, stored, and shared by government and corporations. Based in marginalized neighborhoods in Charlotte, North Carolina, Detroit, Michigan, and Los Angeles, California, we look at digital data collection and our human rights, work with local communities, community orginizations, and social support networks, and show how different data systems impact re-entry, fair housing, public assistance, and community development."
"In the last decade Open Science principles, such as Open Access, study preregistration, use of preprints, making available data and code, and open peer review, have been successfully advocated for and are being slowly adopted in many different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of some of these Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly"
"Trackers are hiding in nearly every corner of today's Internet, which is to say nearly every corner of modern life. The average web page shares data with dozens of third-parties. The average mobile app does the same, and many apps collect highly sensitive information like location and call records even when they're not in use. Tracking also reaches into the physical world. Shopping centers use automatic license-plate readers to track traffic through their parking lots, then share that data with law enforcement. Businesses, concert organizers, and political campaigns use Bluetooth and WiFi beacons to perform passive monitoring of people in their area. Retail stores use face recognition to identify customers, screen for theft, and deliver targeted ads."
"Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of proposed principles threatens to overwhelm and confuse. How might this problem of 'principle proliferation' be solved? In this paper, we report the results of a fine-grained analysis of several of the highest-profile sets of ethical principles for AI. We assess whether these principles converge upon a set of agreed-upon principles, or diverge, with significant disagreement over what constitutes 'ethical AI.' Our analysis finds a high degree of overlap among the sets of principles we analyze. We then identify an overarching framework consisting of five core principles for ethical AI. Four of them are core principles commonly used in bioethics: beneficence, non-maleficence, autonomy, and justice. On the basis of our comparative analysis, we argue that a new principle is needed in addition: explicability, understood as incorporating both the epistemological sense of intelligibility (as an answer to the question 'how does it work?') and in the ethical sense of accountability (as an answer to the question: 'who is responsible for the way it works?'). In the ensuing discussion, we note the limitations and assess the implications of this ethical framework for future efforts to create laws, rules, technical standards, and best practices for ethical AI in a wide range of contexts."
"This questionnaire enables your company to determine the current situation and shows you whether you are implementing the most important technical, organisational and employee-related measures for a minimum level of cybersecurity protection. Rather than focusing on a comprehensive and complete analysis, this is a way for SMEs - especially those with little in-depth understanding of computing and IT security - to quickly and easily find out whether their technical, organisational and staff-related measures provide sufficient protection against cyber-risks.
Learn in the Cybersecurity guide how you can better protect your business against threats from cyberspace and use the free tools of the GCA Cybersecurity Toolkit to make your business more secure today."
"EPIC Files Complaint with FTC about Employment Screening Firm HireVue
Today, EPIC filed a complaint with the FTC alleging that recruiting company HireVue has committed unfair and deceptive practices in violation of the FTC Act. EPIC charged that HireVue falsely denies it uses facial recognition. EPIC also said the company failed to comply with baseline standards for AI decision-making, such as the OECD AI Principles and the Universal Guidelines for AI. The company purports to evaluate a job applicant's qualifications based upon their appearance by means of an opaque, proprietary algorithm. EPIC has brought many similar consumer privacy complaints to the FTC, including a complaint on Facebook's facial recognition practices that contributed to the FTC's 2019 settlement with Facebook. Last year EPIC also asked the FTC to investigate the Universal Tennis Rating system, a secret technique for scoring high school athletes"
"Our initiative "Public Money? Public Code!" has the purpose that Software, funded by public money and used in the public administration shall be Free and Open Source Software. We have an open letter, which you can sign as an individual or as a NGO. So far we have over 26.000 people and nearly 200 NGOs supporting our goal. Next to this we have already three administrations who have signed our letter but still we would like to have more administration supporting our cause. To achieve this we need your help."
"OpenStreetMap use is free as in free beer but also as in free speech !
Everyone can contribute and everyone can use it ! OpenStreetMap is open data ! Whether you're a developer, a scientist, an activist, a cartographer, …, you can use OpenStreetMap database to fulfil your need."
Wikimedia UK has been working with the Medical Research Council, Cancer Research UK and individual medical academics to get experts checking and improving Wikipedia's medical articles. Last year, The Times observed that patients use a combination of Wikipedia and official sources to inform their choices about treatment (article behind a paywall). The newspaper praised experts who improve Wikipedia, saying their work helps to empower patient choices and give them confidence in their treatment.
"The open money manifesto, first published in the previous edition of Kohkoku, declares that money problems can be easily fixed by using our own moneys. Any community, network, and association can have its own money simply by providing a set of accounts through which members can record their trades.
Eventually, almost all communities will use their own money. It's just a question of time and a matter of design.
A society that does this will eliminate the problems associated with lack of money. Imagine a world without poverty, homelessness, unemployment and exploitation - a world where there is always enough money to meet all our needs. Such a world is not only possible, but also probable.
In the last Kohkoku we wrote about memes, self-replicating elements of culture, passed on by imitation. Society will transform itself as the open money meme connects with open minds, who in turn propagate the idea throughout the culture. In this way, from one to some, from some to many, from many to millions, like the imaginal cells that turn caterpillar to butterfly, transformation will happen.
In this issue of the magazine we provide a simple game to explore these ideas and set the stage for further development. "