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US banks are slamming the doors on innocent customers with zero notice, according to a new report.

Supposedly suspicious activity is triggering abrupt account closures, leading to customers to discover something is wrong then they try to spend their money, reports the New York Times.

One such member of Chase named Naafeh Dhillon tried to pay for dinner in December and had both his credit and debit cards declined.

CNBC’s Eunice Yoon reports on news that Alibaba is releasing a chatbot similar to ChatGPT. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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Can we connect human brains together? What are the limits of what we can do with our brain? Is BrainNet our future?
In science fiction movies, scientists’ brains are downloaded into computers and criminal brains are connected to the Internet. Interesting, but how does it work in real life?
Original title: The greedy brain.
Scientific journalist Rob van Hattum wondered what information we can truly get from our brain and came across an extraordinary scientific experience.
An experiment where the brains of two rats were directly connected: one rat was in the United States and the other rat was in Brazil. They could influence the brain of the other directly. Miguel Nicolelis is the Brazilian neurologist who conducted this experiment. In his book ‘Beyond Boundaries’ he describes his special experiences in detail and predicts that it should be possible to create a kind of BrainNet.
For Backlight, Rob van Hattum went to Sao Paulo and also visited all Dutch neuroscientists, looking for what the future holds for our brain. He connected his own brain to computers and let it completely be scanned, searching for the limits of reading out the brain.
Originally broadcasted by VPRO in 2014.
© VPRO Backlight July 2014

On VPRO broadcast you will find nonfiction videos with English subtitles, French subtitles and Spanish subtitles, such as documentaries, short interviews and documentary series.
VPRO Documentary publishes one new subtitled documentary about current affairs, finance, sustainability, climate change or politics every week. We research subjects like politics, world economy, society and science with experts and try to grasp the essence of prominent trends and developments.

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Credits:
Director: Rob van Hattum.
English, French and Spanish subtitles: Ericsson.
French and Spanish subtitles are co-funded by European Union.

Schmidt thinks that if the AI sector doesn’t create protections, politicians will have to step in.

Eric Schmidt, the former CEO of Google, has spoken out against the six-month ban on AI development that some tech celebrities and business executives demanded earlier.

“I’m not in favor of a six-month pause, because it will simply benefit China,” said Schmidt, Google’s first CEO.


Wikimedia Commons.

A halt supported by tech leaders like Elon Musk and Steve Wozniak, would “simply benefit China,” the former Google CEO told the Australian Financial Review on Thursday.

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GitHub: https://github.com/daveshap.
Cognitive AI Lab Discord: https://discord.gg/yqaBG5rh4j.

Artificial Sentience Reddit: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives Reddit: https://www.reddit.com/r/HeuristicImperatives/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

Large Language Models have rapidly gained enormous popularity by their extraordinary capabilities in Natural Language Processing and Natural Language Understanding. The recent model which has been in the headlines is the well-known ChatGPT. Developed by OpenAI, this model is famous for imitating humans for having realistic conversations and does everything from question answering and content generation to code completion, machine translation, and text summarization.

ChatGPT comes with censorship compliance and certain safety rules that don’t let it generate any harmful or offensive content. A new language model called FreedomGPT has recently been introduced, which is quite similar to ChatGPT but doesn’t have any restrictions on the data it generates. Developed by the Age of AI, which is an Austin-based AI venture capital firm, FreedomGPT answers questions free from any censorship or safety filters.

FreedomGPT has been built on Alpaca, which is an open-source model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations released by Stanford University researchers. FreedomGPT uses the distinguishable features of Alpaca as Alpaca is comparatively more accessible and customizable compared to other AI models. ChatGPT follows OpenAI’s usage policies which restrict categories like hate, self-harm, threats, violence, sexual content, etc. Unlike ChatGPT, FreedomGPT answers questions without bias or partiality and doesn’t hesitate to answer controversial or argumentative topics.

Data has emerged as one of the world’s greatest resources, underpinning everything from video-recommendation engines and digital banking, to the burgeoning AI revolution. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in real-time scenarios can be a mammoth undertaking.

For context, applications that don’t require instant, real-time data access can simply combine and process data in batches at fixed intervals. This so-called “batch data processing” can be useful for things like processing monthly sales data. But often, a company will need real-time access to data as it’s created, and this might be pivotal for customer support software that relies on current information about each and every sale, for example.

Elsewhere, ride-hail apps also need to process all manner of data points in order to connect a rider with a driver — this isn’t something that can wait a few days. These kinds of scenarios require what is known as “stream data processing,” where data is collected and combined for real-time access, which is far more complex to configure.

Patreon: https://www.patreon.com/daveshap.
GitHub: https://github.com/daveshap.
Cognitive AI Lab Discord: https://discord.gg/yqaBG5rh4j.

Artificial Sentience Reddit: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives Reddit: https://www.reddit.com/r/HeuristicImperatives/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

Patreon: https://www.patreon.com/daveshap.
GitHub: https://github.com/daveshap.
Discord: https://discord.gg/yqaBG5rh4j.

Reddit: https://www.reddit.com/r/ArtificialSentience/
Reddit: https://www.reddit.com/r/HeuristicImperatives/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

The release of ChatGPT in late November 2022 lit a fire under the subdued venture capital sector, a hesitant business community, and the work of academics and regulators. While venture funding decreased by 19% from Q3’22 to Q4’22, AI funding increased 15% over the same period, according to CB Insights’ State of AI 2022 Report (annual AI funding dropped by 34% in 2022, mirroring the broader venture funding downturn). Looking specifically at generative AI startups, CB Insights found that 2022 was a record year, with equity funding topping $2.6 billion across 110 deals.


Everywhere you turn, you encounter generative AI.