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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

THE OPENAI KEYNOTE

OpenAI recently held its first-ever developer conference. This article presents an analysis of the keynote and its main announcements. The keynote was well-presented and entertaining. The live demos went off without a hitch and leveraged the fact that they were live. All of the new products and features announced were immediately available rather than being available in the coming weeks or months, as is increasingly the case for events like I/O or WWDC.

USDC ISSUER CIRCLE MULLING IPO IN EARLY 2024

Circle, the second largest stablecoin issuer, is considering an IPO in early 2024 amidst improving market conditions in the space. This comes on the heels of crypto exchange Coinbase acquiring a stake in Circle. The plans also come during debates on the need for stablecoin regulation in the US. Currently, USDC has a market cap of $24.43 billion, while Tether, the largest stablecoin issuer, has a market cap of $86 billion.

ELON MUSK’S NEURALINK IS WORKING ON A CHIP THAT WILL SOLVE BLINDNESS

Neuralink is planning to release a vision chip that will solve eye conditions that cause blindness within the next few years. The company has received approval to start recruiting humans for its first clinical trials. Its v0.9 chip aims to fix various ailments, including quadriplegia due to cervical spinal cord injury or amyotrophic lateral sclerosis (ALS). Neuralink is still waiting for regulatory approval for its first human tests.

CRUISE CONFIRMS ROBOTAXIS RELY ON HUMAN ASSISTANCE EVERY FOUR TO FIVE MILES

Cruise uses a remote assistance team to help its autonomous fleet in certain situations. The company claims that remote assistance is being used about 2-4% of the time on average in complex urban environments. It says that the number is low enough that there isn't a huge cost benefit to optimizing much further. The remote assistants mostly provide wayfinding intel to the vehicle instead of controlling it remotely and more than 98% of sessions are answered within 3 seconds. It is an industry standard to have humans on call.

ARE LANGUAGE MODELS GOOD AT MAKING PREDICTIONS?

This post presents the findings of a study that looks at whether GPT-4 can make good predictions. GPT-4's predictions are not well calibrated - its predicted probabilities are often over-confident. Its prediction ability varies depending on the category - for unclear reasons, GPT-4 is well-calibrated for sports questions but horrendously calibrated for personal questions. The model is better at making predictions for politics than for science or technology.

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