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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

JAPAN MOVES CLOSER TO ALLOWING VENTURE CAPITAL FIRMS TO HOLD CRYPTO ASSETS

The Japanese government has greenlit a bill allowing venture capital firms and investment funds to acquire crypto assets. Should it pass parliament, it could be a huge catalyst for web3 startups in the country, as the inability of funds to hold crypto assets greatly restricts the flow of early-stage capital. This amendment aligns with Japan's previously indicated plans to support the crypto sector while still attempting to protect users.

APPLE VISION PRO 2 AT LEAST 18 MONTHS AWAY

The second generation of Apple's Vision Pro headset is at least 18 months away from launch. Apple is keenly interested in feedback from customers who choose to return the first-generation headset as it will use the information to perfect the next version of the device. The Vision Pro will likely follow a refresh cycle longer than that of the iPad. There are rumors that Apple may launch a more affordable Vision headset around 2025.

THE QUEST FOR A DNA DATA DRIVE

The rate of information production is increasing faster than the storage density of tape. Using current technologies will mean that, in the coming decades, we will need exponentially more magnetic tape, disk drives, and flash memory - as well as the factories to produce the storage media. DNA is cheap, readily available, and stable at room temperature for millennia. Organizations around the world are already taking the first steps towards building a DNA drive that can both read and write DNA data.

THIS TINY, TAMPER-PROOF ID TAG CAN AUTHENTICATE ALMOST ANYTHING

MIT researchers have developed an antitampering ID tag that is tiny, cheap, and secure. It is several times smaller and significantly cheaper than the traditional radio frequency tags that are used to verify product authenticity. The tags use glue containing microscopic metal particles. This glue forms unique patterns that can be detected using terahertz waves. The system uses AI to compare glue patterns and calculate their similarity. The tags could be used to authenticate items too small for traditional RFIDs.

I'VE PUT A COMPLEX CODEBASE INTO A SINGLE 120K-TOKEN PROMPT, AND ASKED 7 QUESTIONS GPT-4 AND GEMINI 1.5. HERE ARE THE RESULTS!

This Reddit user recently put two complex codebases into GPT-4-Turbo-128K and Gemini 1.5 and asked them questions. The codebases implemented a parallel inet runtime, so it involved some hard compiler stuff. Gemini 1.5 completely outperformed GPT-4-Turbo-128K in the task of understanding the codebases. Most of the questions that GPT-4 got wrong are ones it would have answered correctly in a smaller context. Gemini still struggled to create a complete mental model of the system, but it is extremely good at locating existing information, making long-range connections, and doing some limited reasoning on top of this information.

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