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THE DAILY INDEX

Technology, AI, software, security, crypto and business

Across today’s newsletters

Today’s Index

TESLA CYBERTRUCK SPECS LEAK EVERY DIMENSION + 14-50 OUTLET IN BED

A screenshot of the specifications for Tesla’s Cybertruck has been leaked. It contains everything there is to know about the size of the truck and its capabilities. The Cybertruck will be 18.6 feet long, 79.9 inches wide without mirrors, and 70.5 inches tall. It will have a bed length of 72.8 inches and a bed width of 51 inches. The full list of specifications is available in the article along with a video comparing the Cybertruck and other available alternatives.

ARK INVEST, 21SHARES SLATED TO INTRO CRYPTO ETF SUITE NEXT WEEK

Ark Invest and 21Shares are planning to roll out five funds that incorporate either bitcoin futures contracts, ether futures, or both sometime this week. These include an ETF that leverages both BTC and ETH futures, an Active On-Chain Bitcoin Strategy ETF, and an ETF featuring BTC futures paired with a portfolio of crypto-related equities. While it’s uncertain what kind of demand there would be for these specific products, this could be yet another option for retail and institutional investors to get exposure to the crypto space.

SCIENTISTS BUILD YEAST WITH ARTIFICIAL DNA IN A MAJOR SYNTHETIC BIOLOGY ADVANCE

Scientists have created synthetic versions of the 16 chromosomes in a yeast cell and successfully combined some of them in one cell. The feat is a key step towards creating programmable cellular factories. It also revealed sequences in genes that interrupted a key process in cells that led to mitochondria dysfunction. The team is now working to combine all the chromosomes into one cell that can survive. If successful, the technology could be used to produce biofuels, medicines, and other materials using cells.

AI THAT READS BRAIN SCANS SHOWS PROMISE FOR FINDING ALZHEIMER’S GENES

Researchers have developed AI-based approaches for shifting through genomes to identify genes linked to Alzheimer’s disease. The combination of genomics, brain imaging, and AI allows researchers to find indicators that are tightly linked to a genomic driver. Scientists have had access to massive research databases for decades, but sifting through this data has proven to be a challenge. AI is able to sort through and learn from the data more efficiently and produce consistent results. If the approach works, it could also be applied to other diseases that have a physical presentation in brain imaging.

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