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Posts by Ed Lepedus

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So... it's official!

I'm building an identity provider.

wildcard.id is the start of my resistance. If you're a builder, entrepreneur or user looking for a different vision for the future of technology, join me.
#buildinpublic #elixir

5 months ago 7 0 0 0

Next time you’re building something with Claude Code, add this snippet to your prompt:

“Let’s implement this using strict outside-in TDD, whereby we write the simplest possible failing test, followed by the smallest amount of implementation code that will satisfy it, and iterate from there”

8 months ago 0 0 0 0
Phoenix Playground

I made another thing! KinoReverseProxy is an #Elixir package that lets you give your #Livebook apps their own domain name! 🚀

See it in action at www.speedrun.dev!

hex.pm/packages/kin...

1 year ago 12 1 0 0

Aaaaand.. now I’ve fixed the stupid bug I left in my first release! #facepalm

1 year ago 0 0 0 0
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kino_phoenix_live_view Allows for Phoenix LiveView integration with Livbook.

Just published a little #elixir library to make it easier to use #Phoenix #Liveview in #Livebook!

Try `KinoPhoenixLiveview.new(path: "/proxy/apps/{slug}")`

hex.pm/packages/kin...

1 year ago 7 0 1 0
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Let’s go!! 🚀

I’m so pumped to be running a microhack for the #Montreal #Elixir guild tonight!

Thanks Cleaver Barnes for inviting me!

guild.host/events/micro...

1 year ago 4 0 0 0

Still works, yet to need a charge.

1 year ago 0 0 0 0
Median Digit

Yep. I made mediandigit.com 🤦

1 year ago 1 0 0 0
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Fair

1 year ago 2 0 0 0

Counterpoint: commit to doing 1 minute of exercise every day, and to increasing that by 1 minute each week.

Went from 0 to 51 mins/day this year, and clocked up over 11,000 minutes of exercise.

1 year ago 1 0 1 0

Imagine teaching programming using #Elixir and #Livebook.

First lesson is building a chat room, and the rest of the course is delivered through it 🚀

1 year ago 5 0 0 0

📌

1 year ago 1 0 0 0

This is beautiful!

1 year ago 1 0 0 0

🤔 Imagine #Kubernetes, but instead of pods, the basic unit of deployment is a #Livebook app...

#elixir #devops

1 year ago 3 0 0 0
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Why I love #Elixir...

1 year ago 4 0 0 0
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Unfortunately, the financial model has encouraged a lot of lazy click-bait trash.

At one point, only 1 in 12-15 medium articles I opened were genuinely useful, and more often than not, I'd run out of free reads by the time I found something good.

1 year ago 0 0 1 0

😭

1 year ago 0 0 0 0

📌

1 year ago 0 0 0 0

I thought I’d be fine with 2TB, but dammit, the models, they just keep getting MOAR BIGGERRER!

Now I’m eyeing up the 4TB and 8TB upgrades and questioning my sanity! 🤣

1 year ago 0 0 1 0

Yeah, I hear you!

It was especially frustrating when I first got my Mac and enthusiastically enabled all the SDKs, then a while later started running out of disk space and would have to juggle things around to make room every time there was a point release 🤦

1 year ago 0 0 1 0

Haha! You dodged a bullet there! Imagine downloading 25GB on the venue WiFi minutes before a talk! 😬

1 year ago 0 0 1 0

FWIW, I made a concerted effort this year to stop clicking Medium links.

Lots of great people still write there, but I find the Medium gating so obnoxious, I’m actively boycotting it.

1 year ago 0 0 1 0
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What’s wrong?

1 year ago 0 0 1 0

Also, with real people rather than astroturfing bots!

1 year ago 0 0 0 0
A sleep tracking dashboard showing data for 6 hours and 17 minutes of sleep. The ‘Sleep Stages’ chart illustrates time spent in Awake (3 hours), REM (1 hour 21 minutes), Light sleep (3 hours 40 minutes), and Deep sleep (1 hour 15 minutes) stages across the night. A ‘Slow Wave Intensity’ chart shows fluctuation in intensity with 143 restoration points. A ‘Sleep Position’ chart indicates the user spent 37% of their sleep on their left side, with periodic changes in position. The timeline spans from 12 AM to 8 AM.

A sleep tracking dashboard showing data for 6 hours and 17 minutes of sleep. The ‘Sleep Stages’ chart illustrates time spent in Awake (3 hours), REM (1 hour 21 minutes), Light sleep (3 hours 40 minutes), and Deep sleep (1 hour 15 minutes) stages across the night. A ‘Slow Wave Intensity’ chart shows fluctuation in intensity with 143 restoration points. A ‘Sleep Position’ chart indicates the user spent 37% of their sleep on their left side, with periodic changes in position. The timeline spans from 12 AM to 8 AM.

First thoughts on the Muse S band: Holy sh*t! *This* is #sleep tracking! Oura take note!

1 year ago 0 0 0 0
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Music to Focus Better - Brain.fm Use Brain.fm's functional music to help you focus relax and sleep better, using cutting edge neuroscience to get results.

Subscription fatigue has killed my love of paid software. I remember as a student scraping together £300 for the Adobe suite, £20-200 for OmniPlan, Sketch, DevonThink etc and using them for years.

Now I pay my JetBrains sub, Brain.fm and that’s about it. Most sub/ppu apps I instantly dismiss.

1 year ago 2 0 1 0

I really like this -- thanks for sharing! :)

1 year ago 1 0 1 0
This image illustrates a comparison of AI reasoning between two scenarios, labeled “Then” and “Now.”

On the left, titled “Then,” OpenAI’s best hosted model at the time is asked, “Mike’s mum had 4 kids; 3 of them are Luis, Drake, and Matilda. What is the name of the 4th kid?” The model initially responds, “It is not possible to determine the name of the fourth child without more information.” Even when prompted further with “The answer is in the question,” the model fails to infer the context and insists that the answer cannot be determined, showing a lack of reasoning ability for this type of riddle.

On the right, titled “Now,” a small, open-source model (running locally for free on a laptop) is asked a similar question: “Erin’s mum had 4 kids; 3 of them are Bobby, David, and Alan. What is the name of the 4th child?” This model correctly deduces and explains, “The answer is ‘Erin’!” It identifies that Erin is one of the four children mentioned in the question, demonstrating an improved ability to infer context and reason through riddles.

The contrast highlights significant progress in AI reasoning, with a smaller, freely accessible model outperforming a previously leading proprietary one in this specific scenario.

This image illustrates a comparison of AI reasoning between two scenarios, labeled “Then” and “Now.” On the left, titled “Then,” OpenAI’s best hosted model at the time is asked, “Mike’s mum had 4 kids; 3 of them are Luis, Drake, and Matilda. What is the name of the 4th kid?” The model initially responds, “It is not possible to determine the name of the fourth child without more information.” Even when prompted further with “The answer is in the question,” the model fails to infer the context and insists that the answer cannot be determined, showing a lack of reasoning ability for this type of riddle. On the right, titled “Now,” a small, open-source model (running locally for free on a laptop) is asked a similar question: “Erin’s mum had 4 kids; 3 of them are Bobby, David, and Alan. What is the name of the 4th child?” This model correctly deduces and explains, “The answer is ‘Erin’!” It identifies that Erin is one of the four children mentioned in the question, demonstrating an improved ability to infer context and reason through riddles. The contrast highlights significant progress in AI reasoning, with a smaller, freely accessible model outperforming a previously leading proprietary one in this specific scenario.

Sometimes it's easy to forget just how far we've come!
#AI #LLM #reasoning

1 year ago 2 0 0 0

Its weird how, in the land of freedom, health, education and justice are most likely to bankrupt you!

1 year ago 0 0 0 0
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Nice 👌 Looking forward to hearing about your journey and discoveries!

1 year ago 0 0 0 0