šĀ On time for your weekend: a round-up ofĀ this weekās remarkable storiesĀ at the intersection of technology, business, design, and culture. Three reads and three listens; no fluff, just stuff ā”
There is absolutely no inevitability as long as there is a willingness to contemplate what is happeningāMarshall McLuhan
š Reading
On the Moral Natures of Humans and Machines:
Consider AI, and how we describe it with terms like āintelligenceā, ācreativityā, and even āconsciousnessā. These are concepts that we barely understand when it comes to describingĀ humans. Our understanding comes more from our lived experience than from precise definitions. Mapping these terms onto AI will always risk confusion, because they can never fully escape their human origins.
R.B. GriggsāTech For Life | 13 minutes
Against Prophecy among the Machines:
As for superintelligences peering through the veil of sense-data to discover an approximate hidden structure of reality: We have and we will continue to use neural nets to approximate many particular aspects of biology such as protein folding, but using AI to āsolveā biology requires an enormous amount of high quality data about protein and cellĀ function, and by and largeĀ there is no such data.
Anselm Levskaya | 9 minutes
Taste Is Eating Silicon Valley:
Those who could manifest and master software were seen as gods. [But] software has been commoditized ā the result of technological advancement, decreasing cost and complexity, and democratization of coding as a skill. AIās push into the mainstream has supercharged this shift. The lines between technology and culture are blurring. And so, itās no longer enough to build great tech.
Anu AtluruāWorking Theorys | 6 minutes
š§ Listening
Creating Shopify for Americans as a German in Canada:
Engineering fundamentally, at least for the last 30 years, has mostly spent time trying to take non-deterministic systems and make them deterministic, which is kind of what we do in the real world with policy mostly and process. If you're an engineer running a company, I think you come pre-equipped with ideas like systems thinking instead of World War 2 organizational structures.
Tobi LuĢtkeāConversations with Tyler | 67 minutes
Andrej Karpathy:
The current models are wasting a ton of capacity remembering stuff that doesn't matter [ā¦] And I think we just need to get to the cognitive core. The cognitive core can be extremely small, it's just this thing that thinks. And if it needs to look up information, it knows how to use different tools [ā¦] you get a really big model or a huge amount of computers or something like that supervising a very small model. You can actually stuff a lot of capability into a very small model.
No Priors | 44 minutes
Doing real work:
It is completely ineffective to demand [respect]. And in any of those conversations where someone says, well, you have to respect me, right away you know there's a problem. It is something that is a phase zero before we got into the room that had to be established. And it can be built on all kinds of different thingsā from people's knowledge and experience to how many times we've seen them mess up and how they handled that.
Liz KislikāDavid Lancefield | 42 minutes
š Timeless
1ļøā£ year agoāLLMs as System 1 Thinkers
2ļøā£ years agoāRocket ships and tractors
3ļøā£ years agoāFILE NOT FOUND