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Scientists discover significant storage capacity in water-based batteries

Researchers at Texas A&M University have discovered a 1,000% difference in the storage capacity of metal-free, water-based battery electrodes. These batteries are different from lithium-ion batteries that contain cobalt. The group’s goal of researching metal-free batteries stems from having better control over the domestic supply chain since cobalt and lithium are outsourced. This safer chemistry […].

Stephen Wolfram on AI’s rapid progress & the “Post-Knowledge Work Era” | E1711

(0:00) Nick kicks off the show.
(1:24) Under the hood of ChatGPT
(7:53) What is a neural net?
(10:05) Cast.ai — Get a free cloud cost audit with a personal consultation at https://cast.ai/twist.
(11:33) Determining values and weights in a neural net.
(18:28) Vanta — Get $1000 off your SOC 2 at https://vanta.com/twist.
(19:33) Emulating the human brain.
(23:26) Defining computational irreducibility.
(26:14) Emergent behavior and the rules of language.
(31:49) Discovering logic + creating a computational language.
(38:10) Clumio — Start a free backup, or sign up for a demo at https://clumio.com/twist.
(39:38) Wolfram’s ChatGPT plugin.
(43:46) The rapid pace of AI
(58:45) The “Post-Knowledge Work” era.
(1:03:52) The unintended consequences of AI
(1:11:45) Rewarding innovation.
(1:16:12) The possibility of AGI
(1:20:07) Creating a general-purpose robotic system.

Check out Wolfram Research: https://www.wolfram.com/

FOLLOW Stephen: https://twitter.com/stephen_wolfram.
FOLLOW Jason: https://linktr.ee/calacanis.

Thanks to our partners:
(10:05) Cast.ai — Get a free cloud cost audit with a personal consultation at https://cast.ai/twist.
(18:28) Vanta — Get $1000 off your SOC 2 at https://vanta.com/twist.
(38:10) Clumio — Start a free backup, or sign up for a demo at https://clumio.com/twist.

Listen here:
Apple: https://podcasts.apple.com/us/podcast/this-week-in-startups-audio/id315114957
Spotify: https://open.spotify.com/show/6ULQ0ewYf5zmsDgBchlkr9
Overcast: https://overcast.fm/itunes315114957/this-week-in-startups-audio.

How to Survive the AI Revolution

Is artificial intelligence on the path to replacing people and jobs? Not quite. GSB professors argue that instead of viewing #AI as a competitor, we should be embracing it as a collaborator.

“The idea that AI is aimed toward automation is a misconception. There’s so much more opportunity for this technology to augment humans than the very narrow notion of replacing humans.” Professor Fei-Fei Li, co-director of the Stanford Institute for Human-Centered Artificial Intelligence.
Link to

Dozer exits stealth to help any developer build real-time data apps ‘in minutes’

Data has emerged as one of the world’s greatest resources, underpinning everything from video-recommendation engines and digital banking, to the burgeoning AI revolution. But in a world where data has become increasingly distributed across locations, from databases to data warehouses to data lakes and beyond, combining it all into a compatible format for use in real-time scenarios can be a mammoth undertaking.

For context, applications that don’t require instant, real-time data access can simply combine and process data in batches at fixed intervals. This so-called “batch data processing” can be useful for things like processing monthly sales data. But often, a company will need real-time access to data as it’s created, and this might be pivotal for customer support software that relies on current information about each and every sale, for example.

Elsewhere, ride-hail apps also need to process all manner of data points in order to connect a rider with a driver — this isn’t something that can wait a few days. These kinds of scenarios require what is known as “stream data processing,” where data is collected and combined for real-time access, which is far more complex to configure.

Mind-Bending Animation Shows How The Universe Would Look if We Could See Gamma Rays

Most of the light streaming through the Universe is invisible to human eyes. Beyond the mid-range wavelengths we can see, there’s a whole cosmos shining in high-and low-energy radiation.

But we humans are clever little animals and have managed to build instruments that can see the light we cannot. One of these is NASA’s Fermi Gamma-ray Space Telescope, an observatory hanging out in low-Earth orbit, monitoring the sky for gamma rays, the highest-energy light in the Universe.

Fermi constantly surveils the entire sky, observing gamma-ray sources and how they change over time, providing astronomers with a map of the various producers of gamma radiation that we can detect. This data is compiled into a catalog that scientists can use to probe the production of gamma radiation.

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