Books bans have increasingly become the policy tool of anti-black policy leaders who systematically perpetuate intolerance and ignorance. These attempts systematically and disproportionately impact Black youth who would benefit from the literary work's interrogation of society as they shape their understanding of their people's history. These violent actors know the cascading effect such works would have on all youth's ability to challenge, interrogate, and ask for a better America. For example, many school districts nationwide have banned "The Bluest Eye" by Toni Morrison. Morrison's work has been integral in shaping classroom conversations across America on race and prejudice. As such, these attempts to censor literature and silence Black writers are politically motivated and profoundly un-American.
Global banned substance testing and certification programme, Informed Sport, has announced the launch of its first mobile app, available for iOS and Android. The free app allows athletes, drug tested personnel and supplement users to easily find Informed Sport-tested and -certified sports nutrition products through multiple search options, including product barcode scanning.
The new Informed Sport app includes a robust product search which offers filtering. Users can filter their search results by regional availability, brand name, performance goal, product formulation and product type. Users can share certified product pages with others via email, text message or social media, a useful tool for athletes who often consult with nutrition professionals before using supplements.
Established in 2008, Informed Sport has over 3,900 unique certified products that are sold in over 127 countries, all of which will be accessible through the mobile app. Every batch of every certified product is tested before being sold and batch/lot numbers are listed on the app. LGC, the laboratory behind the Informed Sport programme, has over 55 years of anti-doping expertise and tests 22,000 samples annually.
Additionally, Activision announced that it created a new "Replay" tool that allows its development teams to watch any completed match as part of their investigation into potential bad behavior. Whether or not the Replay feature is ever made available to players is unknown.
These new anti-cheat measures are in addition to the various other in-game mitigation techniques that Activision uses to help stamp out bad actors. These include Cloaking (legitimate players are hidden from cheaters), Disarm (offending players have their weapons taken away), and Damage Shield (legitimate players get extra armor to fend off cheaters).
Google is launching new anti-censorship technology created in response to actions by Iran's government during the 2022 protests there, hoping that it will increase access for internet users living under authoritarian regimes all over the world.
Jigsaw, a unit of Google that operates sort of like an internet freedom think tank and that creates related products, already offers a suite of anti-censorship tools including Outline, which provides free, open, and encrypted access to the internet through a VPN. Outline uses a protocol that makes it hard to detect, so users can surf the web largely out of sight from authorities who might want to block internet access.
The New Jersey Assembly is considering a limit on use of AI tools in hiring unless employers can prove they conducted a bias audit. Maryland and Illinois have proposed laws that prohibit use of facial recognition and video analysis tools in job interviews without consent of the candidates. Meanwhile, the California Fair Employment and Housing Council is mulling new mandates that would outlaw use of AI tools and tests that could screen applicants based on race, gender, ethnicity, and other protected characteristics.
If he got a BattlEye ban he will be banned from all games using the tool as per my understanding. This includes private servers as well as long as they run BattlEye. I know someone who got one of these bans while logging in his own private server.
Rampant consolidation in nearly every state has created dominant health care systems that can use anticompetitive contracting practices to charge supracompetitive prices, especially to commercial insurance plans.
Rampant consolidation has created dominant health systems that can use anticompetitive contracting practices to charge supracompetitive prices, especially to commercial insurance plans.[5] As the COVID-19 pandemic will likely accelerate consolidation of health care providers with strained resources,[6] policymakers are searching for ways to limit the impact of increased provider market power on health care costs. In many states, it is not enough to try to prevent consolidation from occurring through pre-merger review because most state and metropolitan markets are already highly concentrated. In these already consolidated markets, states need tools to curtail the abuse of market power by dominant health providers.
Gag clauses may be especially insidious when used in conjunction with other anticompetitive contract terms. For example, they may be used to hide the magnitude of variation in provider rates and therefore obscure the effects of an anti-steering clause.
Although there is growing evidence that these health care contract provisions are used anticompetitively and pose a serious threat to competition, there could be pro-competitive uses of these clauses and, in some specific cases in health care markets, they may be used to lower costs.[18] To allow for potential pro-competitive uses of these contract provisions, the model act does include a waiver process where the attorney general or insurance commissioner could approve the use of these contract terms if the benefits outweigh the harms. The regulating state agency is authorized to promulgate rules on which arrangements may be eligible for waivers, such as accountable care organizations, value-based payment arrangements, or those involving rural or other safety-net providers.
In June, Airbnb banned parties permanently across the world. This was after the company implemented a temporary ban in August 2020 amid the pandemic as entertainment outlets closed, prompting some to "take bar and club behavior to homes, sometimes rented through our platform," it said at the time.
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The NCAA drug-testing program, along with clear policies and effective education, protects student-athletes who play by the rules by playing clean. The purpose of the drug-testing program is to deter student-athletes from using performance-enhancing drugs, and it impacts the eligibility of student-athletes who try to cheat by using banned substances. The NCAA tests for steroids, peptide hormones and masking agents year-round and also tests for stimulants and recreational drugs during championships. Member schools also may test for these substances as part of their athletics department drug-deterrence programs.
To learn more about specific medications or supplements that may be banned substances, visit Drug Free Sport AXIS, (member login required) which provides up-to-date research on supplements and over-the-counter and prescription drugs.
At the height of a refugee crisis that erupted in 2015, online social networking tools Facebook and Twitter fell foul of the authorities as they were seized by the far-right to spread virulent anti-immigrant content.
"Since the big platforms like Facebook no longer allow racist, anti-Semitic hate and far-right content like Holocaust denial, people who want to spread this are looking for new avenues," Simone Rafael, digital manager for the Amadeu Antonio anti-racism foundation, told AFP.
This is a temporary policy intended to slow down the influx of answers and other content created with ChatGPT and other generative AI technologies, typically using Large Language Models (LLM). What the final policy will be regarding the use of these and other similar tools is something that will need to be discussed with Stack Overflow staff and, quite likely, here on Meta Stack Overflow.
Overall, because the average rate of getting correct answers from ChatGPT and other generative AI technologies is too low, the posting of answers created by ChatGPT and other generative AI technologies is substantially harmful to the site and to users who are asking questions and looking for correct answers.
A second concern is that we may well start seeing ChatGPT and its descendants generate enough content to start invalidating or at least challenging the "human generated" part of "the vast public corpus of human-generated text" used to train it. By its nature, this sort of tool relies on its own content being a negligible minority of written work to operate, as it does, as a predictor of the next thing a human author would write. There's a nice explanation of how it all works here.
A key thing to understand here is that the question is not, as some have suggested in the comments, whether any AI model can produce correct code. It's whether this one can be trusted to do so.The answer to that question is an unqualified "NO". GPT-3 is a language model. Language models are an essential part of tools like automatic translators; they tell us how probable it is that any given sentence is a valid English (or whatever language) sentence written as a native speaker would1, which lets us favor translations that are idiomatic over ones that just translate individual words without considering how the sentence flows. The systems can be trivially modified to generate text, if instead of looking up the word you have in the probability distribution it provides, you instead select the next word according to that distribution, which is how these chat bots work.
Because the goal is to produce output that looks like native English text, the models are trained to assign high probabilities to existing text samples, and evaluated based on how well they predict other (previously unseen) samples. Which, for a language model, is a fine objective function. It will favor models that produce syntactically correct text, use common idioms over semantically similar but uncommon phrases, don't shift topics too often, etc. Some level of actual understanding does exist in these models2, but it's on the level of knowing that two words or phrases have similar meanings, or that certain parts of a paragraph relate to each other. There is understanding, but no capacity for reasoning.
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