what is predicto?

Predicto.net is theoretically able to predict or forecast a future event based on a consensual view of the future, by allowing people to vote on user generated predictions.

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current predictions

Elon Musk predicts that EV will have a range of 1000km in two years. http://tech.slashdot.org/story/15/09/29/239216/elon-musk-predicts-1000km-ev-range-in-two-years-autonomous-cars-in-three
By 2018, 3D printing will result in the loss of at least US$100-billion per year in intellectual property globally Near term flag: At least one major western manufacturer will claim to have had intellectual property (IP) stolen for a mainstream product by thieves using 3D printers who will likely reside in those same western markets rather than in Asia by 2015. The plummeting costs of 3D printers, scanners and 3D modelling technology, combined with improving capabilities, says Gartner, makes the technology for IP theft more accessible to would-be criminals. Importantly, 3D printers do not have to produce a finished good in order to enable IP theft. The ability to make a wax mould from a scanned object, for instance, can enable the thief to produce large quantities of items that exactly replicate the original. http://memeburn.com/2013/10/10-massive-tech-trends-that-will-hit-us-by-2020/

past predictions

By 2017, 10% of computers will be learning rather than processing Near term flag: In 2014, the number of speech recognition applications running on deep neural network algorithms will double. Deep learning methods, based on deep neural networks, are currently being applied in speech recognition systems as well as some object recognition applications. Quality of life improves when society is able to derive useful information from the copious amounts of unstructured data collecting in the internet. The most important implication of a learning computer is that it expands much less energy to recognise more complex patterns. http://bit.ly/1er5UA9
By 2017, more than half of consumer goods manufacturers will receive 75% of their consumer innovation and R&D capabilities from crowdsourced solutions Near term flag: Consumer goods companies that employ crowdsourced solutions in marketing campaigns or new product development will enjoy a 1 per cent revenue boost over non-crowdsourced competitors by 2015. Consumer goods companies are engaging crowds much more aggressively and with increasing frequency using digital channels to reach a larger and more anonymous pool of intellect and opinion. Gartner reckons we’ll start to see a massive shift toward applications of crowdsourcing, enabled by technology, such as: advertising, online communities, scientific problem solving, internal new product ideas, and consumer-created products. http://bit.ly/1er5UA9
By 2017, 80% of people will collect, track and barter their personal data for cost savings, convenience and customisation Near term flag: The number of Kickstarter-based auctions of personal data will increase by triple-digit percentages by the end of 2014. The average person on the street is now, more than ever, aware of how much data is being collected about them. Interestingly, Gartner reckons that this has set the stage for offering people more control over the disposition of personal data — collected both online and offline. As increasing demand and scarcity drives up the value of such data, it says, it’ll become increasingly worth people’s while to share it voluntarily. The collective interest in self-tracking meanwhile suggests that people are investing more time and energy in collecting data about themselves. They increasingly view such data as a key asset for life improvement, which could also be consistent with the idea of trading it for value under the right circumstances