-
Looking Back On 2023 And Predictions for 2024
As we close the chapter on 2023, it’s time to revisit the predictions I laid out at the beginning of the year. It was a year marked by technological strides and societal challenges. Let’s evaluate how my forecasts stood against the unfolding of 2023. Let’s start with my predictions about AI: “AI will continue to — read more
-
Humane presents the AI Pin
The company presented the AI Pin Today. It is a small device with a camera, microphone, sensors, and laser projector. It is designed to replace the smartphone and costs 699 plus a monthly subscription of 24 dollars. This includes the unlimited use of multiple frontier LLMs, internet, and multiple other services like music. It can — read more
-
Intel Presents New Hardware
Intel just announced a new supercomputer named Aurora. It is expected to offer more than 2 exaflops of peak double-precision compute performance and is based on their new GPU series which outperforms even the new H100 cards from NVIDIA. They are going to use Aurora to train their own LLMs up to a trillion parameters. — read more
-
Cerebras releases 7 open LLMs
Cerebras, a hardware company that produces large chips designed for machine learning, released 7 open models ranging from 111 million to 13 billion parameters. all of them are chinchilla aligned and fully open, unlike the LaMA models by Meta. While this is mostly a marketing stunt to show the efficiency of their chips, it is — read more
-
Nvidia goes big in AI
Right now the GTC 2023 is going on and Nvidia showed off some of their newest steps in AI including this amazing Intro. They introduced cuLitho, a new tool to optimize the design of processors. This was a complicated process that took weeks to calculate and can now be done in a few hours. Speeding — read more
-
Google found a way to make Qubits more stable which scales well
A new paper was published by Google where they present their advancements in quantum error correction. By scaling to larger numbers of Qubits and combining them to logical Qubits they can reduce the quantum error rate significantly. This opens up a clear path to better quantum computers by just scaling them up. — read more
-
Huggingface and AWS announced their partnership
Huggingface and amazon AWS announced their partnership to scale AI in the cloud. Amazon is already the leading cloud computing provider, and Huggingface is the biggest platform for machine learning developers. This will hopefully lead to cheaper and faster development of AI solutions for smaller developer teams and companies. — read more
-
New Brain-computer-interface tested successfully for safety in humans
Synchron has published peer-reviewed, long-term safety results from a clinical study in four patients for their brain-computer interface. The company is backed by Bezos and Gates and uses blood vessels to insert sensors into the brain which is less invasive and safer than inserting sensors directly into the brain like neuralink. — read more