Investing in commodities has become nightmarishly difficult. Investors have to contend with a barrage of political and technological uncertainties—and it is not only Western policies and demand that matter econ.st/49cVYf4 👇

NEWS: Elon Musk announced tonight that the first human implanted with @Neuralink’s brain chip has made a full recovery. The patient is able to control a mouse using only their thoughts. Incredible achievement!

JUST IN: $61,000 #Bitcoin

BREAKING: $70,000 #Bitcoin

Happy birthday to the World Wide Web! MIT professor Tim Berners-Lee’s invention was initially described by his CERN supervisor as “vague but exciting”: bit.ly/2EXaniz (v/Tim Berners-Lee & World Wide Web Foundation, image courtesy of Sotheby’s)

What drives innovation in machine learning? In a new paper, we argue that application-driven work is systemically under-valued in the machine learning community, but that it's essential for both innovation and impact. arxiv.org/abs/2403.17381 1/3

The quadrennial event known as “the halving” is arriving just as some miners are looking to branch out into that other popular technology: AI trib.al/MAXx5fE

We will be at #TOKEN2049 Dubai, 18-19 April 2024 🎉 Join us and 10,000 others from the global crypto community for meetups, workshops, and networking opportunities over the two-day main event. See you in Dubai! 🇦🇪

Researchers reveal a simple technique that could help you get more accurate crypto price predictions from ChatGPT: AI Eye. Via Cointelegraph Magazine cointelegraph.com/magazine/chatg…

Relationship of #ArtificialIntelligence, #MachineLearning, #NeuralNetworks, and #DeepLearning by Kirk Borne #AI #BigData #DataScience #ML#MI cc: @terenceleungsf @yvesmulkers Pascal Bornet

Different Types of AI and Machine Learning

🚨THE MOST DETAILED HUMAN BRAIN MAP REVEALED Researchers at Google Research & Lichtman Lab have released a 3D map detailing nearly every neuron in a small brain fragment, offering unprecedented insight into its complex structure. This map explores a cubic millimeter of human

Large language models are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, they often fail to form good abstractions. As a result, they lack the ability to learn new concepts like humans do 🤔 Three new ICLR papers

It begins. This is another sign that LLMs are going to be able to work with structured & unstructured spreadsheet data soon. This will unlock a lot of use cases (projections, financials, valuations, etc.) and having a spreadsheet source of truth will tend to lower hallucinations

Can large language models (LLMs) explain their internal mechanisms? Check out the latest AI Explorable on Patchscopes, an inspection framework that uses LLMs to explain the hidden representations of LLMs. Learn more → goo.gle/patchscopes