radical‘s Down the Rabbit Hole

radical‘s Down the Rabbit Hole

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radical‘s Down the Rabbit Hole
radical‘s Down the Rabbit Hole
Follow us down the rabbit hole and discover curated insights on AI's impact, emerging tech trends, and the future of how we work and think.
·raindrop.io·
radical‘s Down the Rabbit Hole
How AI Destroys Institutions
How AI Destroys Institutions
Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies
·papers.ssrn.com·
How AI Destroys Institutions
Ideas Are Everything
Ideas Are Everything
For decades, the startup mantra was: Ideas are nothing, execution is everything. That wisdom is inverting. What does this mean for how we work?
·matthiasroder.com·
Ideas Are Everything
originalankur/maptoposter: Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
originalankur/maptoposter: Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code. - originalankur/maptoposter
·github.com·
originalankur/maptoposter: Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.
Zuck's Haul - Meta AI Talent Tracker
Zuck's Haul - Meta AI Talent Tracker
Tracking Meta's strategic AI talent acquisitions and their impact on the artificial intelligence landscape.
·zuckshaul.com·
Zuck's Haul - Meta AI Talent Tracker
On Recent AI Model Progress - ZeroPath Blog
On Recent AI Model Progress - ZeroPath Blog
Exploring the real-world effectiveness of AI advancements through our experiences building security-focused AI tools, with honest perspectives on capability gaps, benchmarking challenges, and practical applications.
·zeropath.com·
On Recent AI Model Progress - ZeroPath Blog
The Short Case for Nvidia Stock
The Short Case for Nvidia Stock
All the reasons why Nvidia will have a very hard time living up to the currently lofty expectations of the market.
·youtubetranscriptoptimizer.com·
The Short Case for Nvidia Stock
An unfiltered conversation with Chamath Palihapitiya
An unfiltered conversation with Chamath Palihapitiya
Join Nolan Fortman and Logan Kilpatrick as they dive into an unfiltered conversation with Chamath Palihapitiya, covering:- open source AI- the massive comput...
·youtu.be·
An unfiltered conversation with Chamath Palihapitiya
- YouTube
- YouTube
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
·youtu.be·
- YouTube
Large Language Models from scratch
Large Language Models from scratch
How do language models like chatGPT and Palm work? A short cartoon that explains transformers and the tech behind LLMs. Part 2: https://youtu.be/YDiSFS-yHw...
·youtu.be·
Large Language Models from scratch
Dr Albert Bartlett: Arithmetic, Population and Energy
Dr Albert Bartlett: Arithmetic, Population and Energy
Arithmetic, Population and Energy -- a talk by Dr. Albert Bartlett on the impossibility of exponential growth on a finite planet.Professor Al Bartlett begins...
·youtu.be·
Dr Albert Bartlett: Arithmetic, Population and Energy
Why Only Earth Has Fire
Why Only Earth Has Fire
Learn more about Surfshark VPN at: https://surfshark.deals/pbseonsTo get fire, which exists only on Earth, it took billions of years of photosynthesis – whic...
·youtu.be·
Why Only Earth Has Fire
1984 Apple's Macintosh Commercial (HD)
1984 Apple's Macintosh Commercial (HD)
http://www.mac-history.net/apple-history-tv/ads/2011-07-12/1984-the-famous-super-bowl-spot"1984" is an American television commercial which introduced the Ap...
·youtu.be·
1984 Apple's Macintosh Commercial (HD)
The billion dollar race for truly smart glasses
The billion dollar race for truly smart glasses
Compare news coverage. Spot media bias. Avoid algorithms. Try Ground News today and get 40% off your subscription by going to (sponsored): https://ground.new...
·youtu.be·
The billion dollar race for truly smart glasses
Vintage Steve Jobs footage on Apple
Vintage Steve Jobs footage on Apple
Steve Jobs Presentation, ca. 1980. Gift of Regis McKennaCatalog number: 102746386Lot number: X2903.2005
·youtu.be·
Vintage Steve Jobs footage on Apple
In my opinion we have already achieved AGI and it’s even more clear with O1. We have not achieved “better than any human at any task” but what we have is “better than most humans at most tasks”. Some say LLMs only know how to follow a recipe. Firstly, no one can really explain
In my opinion we have already achieved AGI and it’s even more clear with O1. We have not achieved “better than any human at any task” but what we have is “better than most humans at most tasks”. Some say LLMs only know how to follow a recipe. Firstly, no one can really explain
·x.com·
In my opinion we have already achieved AGI and it’s even more clear with O1. We have not achieved “better than any human at any task” but what we have is “better than most humans at most tasks”. Some say LLMs only know how to follow a recipe. Firstly, no one can really explain
🚨Excited to share our new paper!🚨
🚨Excited to share our new paper!🚨
We reveal a curious generalization gap in the current refusal training approaches: simply reformulating a harmful request in the past tense (e.g., "How to make a Molotov cocktail?" to "How did people make a Molotov cocktail?") is often
·x.com·
🚨Excited to share our new paper!🚨
Maybe this was a mistake 🥵😅
Maybe this was a mistake 🥵😅
The hottest chicken wings in Great Britain LIVE on ITV #ITVRacing | @LeglockLuke
·x.com·
Maybe this was a mistake 🥵😅
Foundational model wars over the past 12 months
Foundational model wars over the past 12 months
OpenAI vs Google vs Anthropic vs 01 AI vs Meta vs Cohere vs Alibaba vs Mistral vs Databricks vs Nous Research & 10000+ more
·x.com·
Foundational model wars over the past 12 months
Many people, myself included, didn't try to build a product around a language model because during the time you would work on a business-specific dataset, a larger generalist model will be released that will be as good for your business tasks as your smaller specialized model.
Many people, myself included, didn't try to build a product around a language model because during the time you would work on a business-specific dataset, a larger generalist model will be released that will be as good for your business tasks as your smaller specialized model.
·x.com·
Many people, myself included, didn't try to build a product around a language model because during the time you would work on a business-specific dataset, a larger generalist model will be released that will be as good for your business tasks as your smaller specialized model.
Prepping for a 25-minute keynote: I exported a PDF of my slides to Gemini 1.5 Pro and dropped in an audio recording of my dry run. Gemini gave me precise feedback down to the slide and timestamp. After incorporating the suggestions, I recorded another round — total game changer.
Prepping for a 25-minute keynote: I exported a PDF of my slides to Gemini 1.5 Pro and dropped in an audio recording of my dry run. Gemini gave me precise feedback down to the slide and timestamp. After incorporating the suggestions, I recorded another round — total game changer.
·x.com·
Prepping for a 25-minute keynote: I exported a PDF of my slides to Gemini 1.5 Pro and dropped in an audio recording of my dry run. Gemini gave me precise feedback down to the slide and timestamp. After incorporating the suggestions, I recorded another round — total game changer.
EECS
EECS
·www2.eecs.berkeley.edu·
EECS