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Some good news for South Africa’s Covid-19 vaccine rollout - BusinessTech
South Africa finally received good news regarding its vaccination rollout, with the first batch of 325,260 Pfizer vaccines arriving in the country overnight.
South Africa finally received good news regarding its vaccination rollout, with the first batch of 325,260 Pfizer vaccines arriving in the country overnight. A similar amount of weekly vaccine doses is expected to arrive through May for a total of 1.3 million doses by the end of the month. Thereafter, the supply is expected to increase notably to more than 636,000 per week in June. The arrival of the Pfizer vaccines follows the restarting of phase 1 of the country’s rollout, which focuses on the vaccination of healthcare workers as part of the Sisonke implementation study. The rollout resumed on Wednesday (28 April). Since then, 26,000 healthcare workers have been vaccinated, with the health department targeting 500,000 inoculations by the end of the study. South Africa has also secured other vaccines, most of which are expected to arrive in the second half of the year. Speaking in parliament on Wednesday, Health minister Zweli Mkhize also said that South Africa was looking to secure additional vaccines from Russia and India. However, the exact specifics around these deals have not yet been published. Plans are in place to inoculate 16.5 million people from May to October with the aid of private healthcare providers, which will buy shots from the national government. This forms part of the phase 2 of the rollout, targeting vulnerable individuals and essential workers. Phase 3 of the rollout, which will open up the shots to the rest of the country, are expected to start in November. According to the Bureau for Economic Research (BER), the first commercial batch of the Johnson & Johnson vaccine from Aspens plant in Gqeberha is now expected by mid-May. Issues One area which could potentially hamper the country’s vaccine rollout is the protracted international safety verification process around the Johnson & Johnson vaccines which are currently being stored in Gqeberha. Mkhize said that these vaccines are expected to be released around the middle of May but indicated that they would only be released upon approval from both US and South African regulators “This is a precautionary measure following the adverse findings during inspection of Emergent BioSolutions Bayview facility in the United States of America, one of the manufacturing partners of Johnson and Johnson, which prompted the authorities to extend their assessments of all Johnson and Johnson stock worldwide. These assessments are still underway,” he said. “We are confident that the final outcome will be positive and that, provided there are no further disruptions, Johnson and Johnson will be in a position to release the stock from the Aspen plant in Gqeberha by the middle of May. The stock is currently finished and ready for dispatch.” Read: 9 areas where South Africa is falling behind the rest of the world
'Can I see your parts list?' What AI's attempted chat-up lines tell us about computer-generated language » Stuff - Stuff Magazines
Have you ever wondered what flirting with artificial intelligence would look like? Research scientist and engineer Janelle Shane has given us an idea by
Have you ever wondered what flirting with artificial intelligence would look like? Research scientist and engineer Janelle Shane has given us an idea by training a neural network an algorithm loosely inspired by biological brain structures to produce chat-up lines. Some of the results are hilarious and completely nonsensical, such as the inelegant: 2017 Rugboat 2-tone Neck Tie Shirt. But some of them turned out pretty well. At least, if youre a robot: I can tell by your red power light that youre into me. You look like a thing and I love you. Can I see your parts list? But how were these lines generated, and why do the results vary so much in terms of quality and cohesiveness? Thats down to the types of neural networks Shane worked with: all based on GPT-3, the worlds largest language model to date. Language modelling GPT stands for generative pre-trained transformer. Its current version, developed by OpenAI, is the third in a line of ever-improving natural language processing systems trained to produce human-like text or speech. Natural language processing, or NLP, refers to the application of computers to process and generate large amounts of coherent spoken or written text. Whether you ask Siri for a weather update, request for Alexa to turn on the lights, or you use Google to translate a message from French into English, youre able to do so because of developments in NLP. Voice-activated smart speakers use NLP technology to understand your spoken requests. It takes a variety of NLP tasks from speech recognition to picking apart sentence structures for applications such as Siri to successfully requests. The virtual assistant, much like any other language-based tool, is trained using many thousands of sentences, ideally as varied and diverse as possible. Because human language is extremely complex, the best NLP applications rely increasingly on pre-trained models that allow contextual bidirectional learning. This means considering a words wider context in a sentence, scanning both left and right of any given word to identify the words intended meaning. More recent models can even pay attention to more nuanced features of human language, such as irony and sarcasm. Computer compliments GPT-3 is such a successful language-generating AI because it doesnt need retraining over and over again to complete a new task. Instead, it uses what the model has already learned about language and applies it to a something new such as writing articles and computer code, generating novel dialogue in video games, or formulating chat-up lines. Compared to its predecessor GPT-2, the third-generation model is 116 times bigger and has been trained on billions of words of data. To generate its chat-up lines, GPT-3 was simply asked to automate the text for an article headlined: These are the top pickup lines of 2021! Amaze your crush and get results! Because GPT-3s training updates have been added gradually over time, this same prompt could also be used on smaller, more basic variants generating weirder and less coherent chat-up lines: Hey, my name is John Smith. Will you sit on my breadbox while I cook or is there some kind of speed limit on that thing? It is urgent that you become a professional athlete. CAPE FASHION But GPT-3s DaVinci variant its largest and most competent iteration to date delivered some more convincing attempts which might actually pass for effective flirting with a little fine-tuning: You have the most beautiful fangs Ive ever seen. I love you. I dont care if youre a doggo in a trenchcoat. I have exactly 4 stickers. I need you to be the 5th. The latest variant of GPT-3 is currently the largest contextual language model in the world and is able to complete a number of highly impressive tasks. But is it smart enough to pass as a human? Almost human As one of the pioneers of modern computing and a firm believer in true artificial intelligence, Alan Turing developed the Imitation Game in 1950 today known as the Turing Test. If a computers performance is indistinguishable from that of a human, it passes the Turing Test. In language generation alone, GPT-3 could soon pass Alan Turings test. But it doesnt really matter if GPT-3 passes the Turing Test or not. Its performance is likely to depend on the specific task the model is used for which, judging by the technologys flirting, should probably be something other than the delicate art of the chat-up line. And, even if it were to pass the Turing Test, in no way would this make the model truly intelligent. At best, it would be extremely well trained on specific semantic tasks. Maybe the more important question to ask is: do we even want to make GPT-3 more human? Learning from humans Shortly after its reveal in summer 2020, GPT-3 made headlines for spewing out shockingly sexist and racist content. But this was hardly surprising. The language generator was trained on vast amounts of text on the internet, and without remodelling and retraining it was doomed to replicate the biases, harmful language and misinformation that we know to exist online. Clearly, language models such as GPT-3 do not come without potential risks. If we want these systems to be the basis of our digital assistants or conversational agents, we need to be more rigorous and selective when giving them reading material to learn from. Still, recent research has shown that GPT-3s knowledge of the internets dark side could actually be used to automatically detect online hate speech, with up to 78% accuracy. So even though its chat-up lines look unlikely to kindle more love in the world, GPT-3 could may be set, at least, to reduce the hate.
- Stefanie Ullmann is Postdoctoral Research Associate, Centre for the Humanities and Social Change, University of Cambridge
- This article first appeared on The Conversation
Bulls wary of severe Stormers backlash: 'Every team is now coming for us' - News24
Bulls mentor Jake White admits his side's tough going against the Lions is a reminder that they are now wanted men.
- Bulls mentor Jake White admits his side's tough going against the Lions is a reminder that they are now wanted men.
- Recent successes mean the men from Loftus are considered a precious scalp by opposition and will have to contend with more pronounced onslaughts.
- White is particularly wary of the potential backlash from the Stormers this weekend, who are "hurting" from their defeat to the Sharks.