The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

The world's first "biological computer" that fuses human brain cells with silicon hardware to form fluid neural networks has been commercially launched, ushering in a new age of AI technology. The CL1, from Australian company Cortical Labs, offers a whole new kind of computing intelligence – one that's more dynamic, sustainable and energy efficient than any AI that currently exists – and we will start to see its potential when it's in users' hands in the coming months. https://newatlas.com/brain/cortical-bioengineered-intelligence/

ChatGPT | The Intelligence Age https://youtu.be/kIhb5pEo_j0?si=jSTqv-kkmXynL2S7

""" Overview We pretrain METAGENE-1, a 7-billion-parameter autoregressive transformer language model, which we refer to as a metagenomic foundation model, on a novel corpus of diverse metagenomic DNA and RNA sequences comprising over 1.5 trillion base pairs. This dataset is sourced from a large collection of human wastewater samples, processed and sequenced using deep metagenomic (next-generation) sequencing methods. Unlike genomic models that focus on individual genomes or curated sets of specific species, the aim of METAGENE-1 is to capture the full distribution of genomic information present across the human microbiome. This model is designed to aid in public health applications relating to pandemic monitoring, pathogen detection, and early detection of emerging health threats. We carry out byte-pair encoding (BPE) tokenization on our dataset, tailored for metagenomic sequences, and then pretrain our model. We detail the pretraining data, tokenization strategy, and model architecture, highlighting the considerations and design choices that enable the effective modeling of metagenomic data, in our technical report. '''""

'I've got all the time in the world.' AI-generated UK grandmother named “Daisy” is trying scammers’ jobs a bit more tedious. UK mobile operator Virgin Media O2 created Daisy in order to speak with bad actors and waste as much of their time as possible. Using ChatGPT-like large language models, Daisy will ramble on about her passion for knitting and tell long-winded, fabricated stories about family members with the goal of keeping scammers on the line. In theory, every minute spent frustratingly chatting with Daisy about its made-up family or daily chores is one less minute a scammer could be targeting a real person. https://www.popsci.com/technology/ai-grandma-scammers/