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What 81,000 people want from AI
What 81,000 people want from AI
Last December, tens of thousands of Claude users around the world had a conversation with our AI interviewer to share how they use AI, what they dream it could make possible, and what they fear it might do.
·anthropic.com·
What 81,000 people want from AI
Wireless Cassette Player - Maxell USA
Wireless Cassette Player - Maxell USA
With this masterfully engineered player, blending the nostalgic soul of the 80's with the peak convenience of today’s wireless technology just became a reality. At its heart lies a stabilized transport—featuring a precision brass flywheel—that delivers High-Fidelity Sound to bring your cassette collection back to life with rich, steady audio. Experience total wireless freedom with up to 11 hours of Bluetooth playtime, or switch to the optional headphone jack for a classic wired session. When the power runs low, USB-C Fast Charging gets you back to your music in under 2 hours, ensuring your favorite mixtapes never have to stop.
·maxell-usa.com·
Wireless Cassette Player - Maxell USA
ARC Prize
ARC Prize
ARC Prize is a $1,000,000+ nonprofit, public competition to beat and open source a solution to the ARC-AGI benchmark.
·arcprize.org·
ARC Prize
Why Tech Bros Are Now Obsessed with Taste
Why Tech Bros Are Now Obsessed with Taste
Kyle Chayka writes about the concept of taste as a Silicon Valley buzzword and as a profit driver for A.I. developers.
·newyorker.com·
Why Tech Bros Are Now Obsessed with Taste
Why An Unsustainable Bubble Is Growing Inside Fintech
Why An Unsustainable Bubble Is Growing Inside Fintech
While giant fintechs like Stripe and Ramp garner nosebleed valuations, others struggle to raise funding or languish in the stock market.
·forbes.com·
Why An Unsustainable Bubble Is Growing Inside Fintech
Kagi Translate
Kagi Translate
Kagi Translate uses powerful AI models to instantly and accurately translate any content in any language.
·translate.kagi.com·
Kagi Translate
Top AI coding tools make mistakes one in four times, study shows
Top AI coding tools make mistakes one in four times, study shows
New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems can assist developers. As Large Language Models (LLMs) are increasingly incorporated into software development, developers have struggled to ensure that AI-generated responses are accurate, consistent, and easy to integrate into larger development workflows.
·techxplore.com·
Top AI coding tools make mistakes one in four times, study shows
How to Future
How to Future
A good futurist focuses on the 3 time phases: past, present, future.
·kevinkelly.substack.com·
How to Future