Toggle light / dark theme

New Stanford report highlights the potential, costs, and risks of AI

AI-related jobs are on the rise but funding has taken a dip.

The technology world goes through waves of terminologies. Last year, was much about building the metaverse until it turned to artificial intelligence (AI) which has occupied the top news spots almost everywhere. To know whether this wave will last or wither off, one needs to look at some trusted sources in the domain, such as the one released by Stanford University.

For years now, the Institute for Human-Centered Artificial Intelligence at Stanford has been releasing its AI Index on an annual basis.


Black_Kira/iStock.

With AI occupying center stage for the past few months, the AI Index is a valuable resource to see what the future holds.

Joe Biden warns of AI dangers, urges tech companies to make safe products

Social media has already illustrated the harm that powerful technologies can do without the right safeguards, said the President.

U.S. President Joe Biden warned of the dangers of using artificial intelligence (AI) while putting the onus on making safe products on technology companies.


The White House/ Wikimedia Commons.

Although Musk was one of the co-founders of OpenAI. Recently the Tesla CEO co-signed a letter asking for a six-month moratorium on AI research and stopping companies from releasing products more powerful than GPT-4.

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.

AGI Unleashed: Game Theory, Byzantine Generals, and the Heuristic Imperatives

Patreon: https://www.patreon.com/daveshap.
GitHub: https://github.com/daveshap.
Cognitive AI Lab Discord: https://discord.gg/yqaBG5rh4j.

Artificial Sentience Reddit: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives Reddit: https://www.reddit.com/r/HeuristicImperatives/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

Deep-learning aging clock tracks human aging, detects eye and other diseases from retinal images

A team of biomedical researchers has developed a non-invasive, more accurate, and inexpensive “aging clock” for tracking and slowing human aging by examining retinal images and using trained deep-learning models of the eye’s fundus (the deepest area of the eye), using a new “eyeAge” system.

The researchers are affiliated with Buck Institute for Research on Aging, Google Research, Google Health, Zuckerberg San Francisco General Hospital, Post Graduate Institute of Medical Education, and Research (India), and University of California, San Francisco.

Tracking eye changes that accompany aging and age-related diseases: the eyeAge system.

I literally connected my brain to GPT-4 with JavaScript

I hacked my brain with a compact electroencephalogram (EEG) and connected it to GPT-4 with the OpenAI API. In this crazy tutorial, you’ll learn how to use JavaScript to read your brainwaves.

#tech #javascript #science.

💬 Chat with Me on Discord.

https://discord.gg/fireship.

🔗 Resources.

Neurosity Crown https://neurosity.co.

Mind-Controlled Robots: New Graphene Sensors Are Turning Science Fiction Into Reality

Researchers have designed a 3D-patterned, graphene.

Graphene is an allotrope of carbon in the form of a single layer of atoms in a two-dimensional hexagonal lattice in which one atom forms each vertex. It is the basic structural element of other allotropes of carbon, including graphite, charcoal, carbon nanotubes, and fullerenes. In proportion to its thickness, it is about 100 times stronger than the strongest steel.

/* */