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enos_feedler

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techcrunch.com 3mo ago

Bluesky leans into AI with Attie, an app for building custom feeds

enos_feedler
4pts0
blog.singleton.io 5mo ago

Dreamer – why we built it

enos_feedler
1pts0
dreamer.com 5mo ago

Dreamer is a place to discover, build, and enjoy agentic apps

enos_feedler
1pts0
aifoc.us 5mo ago

The browser is the sandbox

enos_feedler
352pts191
www.bloomberg.com 1y ago

How Apple Rules the World

enos_feedler
2pts0
velostudio.github.io 2y ago

Web: The Good Parts

enos_feedler
3pts0
andrewchen.com 2y ago

Creator Economy 2.0: What we’ve learned, why it’s hard, and what’s next

enos_feedler
2pts0
copyrightandtechnology.com 4y ago

Are NFTs DRM by Another Name?

enos_feedler
2pts0
www.infoq.com 4y ago

WASI: A New Kind of System Interface

enos_feedler
1pts0
digitstodollars.com 4y ago

What will happen to ARM now?

enos_feedler
2pts0
discuss.pytorch.org 4y ago

Torch-MLIR – Bridging PyTorch and MLIR Ecosystems

enos_feedler
3pts0
fuchsia.dev 4y ago

Fuchsia Fundamentals

enos_feedler
5pts2
www.accessbybmw.com 4y ago

Simplicity and Flexibility: A New Way of Driving a BMW Is Coming

enos_feedler
1pts0
mobiledevmemo.com 5y ago

iOS14, Fortnite, and the importance of controlling distribution

enos_feedler
1pts0
news.ycombinator.com 5y ago

Ask HN: What neat/helpful things have you run on your k8s cluster?

enos_feedler
5pts1
versionone.vc 5y ago

A Guide to Marketplaces: Third Edition

enos_feedler
4pts0
ams.com 5y ago

Ams introduces world’s first ambient light, proximity and flicker sensing module

enos_feedler
1pts0
eatnuggs.com 5y ago

Nuggs 2.0: The Tesla of Chicken

enos_feedler
2pts1
www.sigarch.org 5y ago

Android Beyond Defragmentation

enos_feedler
5pts1
www.healthline.com 6y ago

Maple Syrup Urine Disease (MSUD)

enos_feedler
2pts0
www.huaweicloud.com 6y ago

Huawei Developer Conference 2020 Live Webcast

enos_feedler
1pts0
developer.apple.com 6y ago

ARKit 3.5

enos_feedler
3pts0
www.bifurcatedneedle.com 6y ago

“Out of an abundance of caution” – An overused phrase (2015)

enos_feedler
78pts69
thesarniajournal.ca 7y ago

A look at how Sarnia Police are contending with drug-fuelled street crime

enos_feedler
1pts0
github.com 8y ago

Exploring what happens when you put computers on sign posts

enos_feedler
2pts0
android-developers.googleblog.com 8y ago

Introducing Android Instant Apps SDK 1.1

enos_feedler
1pts0
openthread.io 8y ago

An open foundation for the connected home

enos_feedler
2pts0
runnable.com 8y ago

Runnable is joining the MuleSoft family

enos_feedler
4pts0
substrait.com 9y ago

Mobile Web Apps Are Dead

enos_feedler
1pts0
library.launchkit.io 9y ago

LaunchKit and Google

enos_feedler
3pts1

IMO we are there almost. I had every iphone until 14 pro and still use this today. I know what the top of the s curve feels like. From a pure model standpoint weighed against every day use cases for every day people (the right way to measure when comparing to something as ubiquitous as a phone), the models already have diminishing returns.

The biggest hurdle is whether humans volunteer their expertise. Not time or money. We need top talent to make the open models. Sponsorship is plentiful. Open source volunteers are less critical with LLM doing the grunt work. Its about talent contributing to the open

There is a massive difference when you zoom in close or take an angled perspective. You can manufacture uniqueness. The issue is when it comes to every day use for every day people there is no differentiation.

Many years ago I wrote a simple script to periodically pull my aeroplan miles from Air Canada using an extracted auth token. I was building my own mobile app to track all kinds of important numbers in my life. One day I woke up to my air canada account being nuked without access. I was on the phone for 3 days talking to many layers of support. At one point they were not going to re-enable my account and would lose 400k points. I was devastated. Thankfully i was able to get it back eventually. This whole era of using LLMs to manipulate services on the client is not going to end well. We need proper business-level support or its just an irresponsible hack you are letting loose into the wild.

What the auto industry should have really woken up to is the idea of a singular carplay for both android and ios. I have a 2021 BMW that only supported carplay and was fine for many years. It is wireless even. I love it. But now i have a pixel.

It feels like this whole site was manufactured to convince us that generative AI is a rocketship right now? While we might be basing a rocketship right now, to draw that line up at this point is total bullshit. the pc is real. the internet is real. the smartphone is real. its hard for me to even wrap my head around how you compare generative AI to these things. At this point I don't think we are far enough time to allow hindsight to let us see what the "thing" is that we should be tracking. Its not "generative ai"

I mean, just saying the new guy is trying not to be evil does not give any credence to some meaningful differentiation over the long term. Won't they just eventually be evil too? Seems odd to continue to trust the early thinking of long term companies. Haven't we been burned enough?

Unless you have hard proof this is occurring then I would rather believe my own and others positive testimony on self help. Its powerful and relatively affordable if you are committed to making changes in your own life. Is good advice. Authentic stories (generally). I am just grateful that people take the time and effort to reflect and encode their experience into something digestible by others. It’s pretty cynical to have your view.

He denies comparing them to telecom companies and even says at various points in his writing. Instead he compares their usage to the usage of mobile data.

I agree with you, but sadly without killer use cases in the browser this still ends up being quite political to adopt. I feel good about the approach being taken. The browser vendors have analytics on the usage of JCO and so despite it not being "ideal", it works. We need to make stuff using JCO and make those things popular. It's not on the browser vendors to build native component model yet. At some point I suspect it will be though.

Homogeneity doesnt need to be the endgame just a pitstop along the way. We should have a universal tool for creating unique things. If everything is unique the cognitive load is high we get lazy and output all converges on shallow stuff that is the same. If the tools are homogenous we learn something once and spend energy on making the diffetences

Coming up with precise instruction about what we are after isn't always possible. In many cases we only know what we are after once we see it. And if you can't express what you are after into tokens you can't outsource that choice to anyone else except your own direct experience of the process.

Buried in this interview is a great insight about the limits of AI:

"Just viewing all of Treadwell’s material would have taken me at least ten days, but I had four assistants who went through everything, melting it down to about twelve hours of footage. I gave them precise instructions about what I was looking for, but sometimes scrutinised what they had put aside and found extraordinary moments they had dismissed. The shots of the fox paws on the tent had been discarded because they were too shaky, but I thought it was very beautiful imagery."

Benedict Evans often compares LLMs as "infinite interns" and when I started reading this passage my mind immediately went to the idea of "What if Werner used LLMs to filter this footage?" But the following sentences reveal a truth that I've discovered personally and that is apparent here: When creating something original there is something only accessible to the human mind of the creator. The creator needs to have direct experience with the materials that make up the creation to bring out its full vision. The more of the process you replace with interns (or assistants, here), the more the creation is compromised and doesn't fulfill its possibility.