Working with the Go team there are a lot of conversations that go completely over my head. Earlier in my career I'd be embarrassed about this and pretend to understand, now I'm vocal about it. If I don't understand it, it's likely others would benefit from simplification.
Also wild that the day after @Microsoft stopped subsidizing copilot they announce a device that runs frontier models locally. Can’t wait to get one of these.
Local models are the future. Reliable, private and responsive.
Introducing @Surface RTX Spark Dev Box, a compact developer PC engineered with NVIDIA RTX Spark silicon and built on the Windows developer platform, designed for local-first AI development. #MSBuild
For those of us old enough to remember the year of “Linux on the desktop” in the 90s and 2000s. Never expected that the way this story would have ended would be with @Microsoft being the one to make it happen and that it would be on Windows.
Loving all the changes @Microsoft is announcing at MS Build. Fully embracing the Linux/Unix tooling from adding built in Unix shells, core tools and containers.
When Rob Pike says "no" to AI contributions, the Go project keeps functioning. It has funded reviewers.
When I say "no" to AI reviewing a PR on spf13/Afero, it just sits there.
Those are very different kinds of "no."
spf13.com/p/the-maintainers-…
Stop debating language features. Start measuring economic impact.
9 factors that reveal what your programming language actually costs across its full lifecycle, from authoring to hiring to security to AI. #EngineeringLeadership#DevOpsspf13.com/p/the-9-factors/
Why do tech leaders burn millions on language choice?
They think it's a tech debate. It's an identity crisis.
Explore the "invisible conversation" (ego vs. logic) and how to reframe it as an economic decision.
#Leadership#Engineering#Techspf13.com/p/the-hidden-conve…
Heading home inspired by #GitHubUniverse.
I feel like the entire vibe can be summed up in this one slide by @martinwoodward
The best developers never stop experimenting. Stay curious.
A NEW Podcast Ep w/ @goinggodotnet is out!👇 #ArdanLabsPodcast
This week’s guest Steve Francia (@spf13), a Managing Director at Two Sigma, shares his journey.🤓
💻First Tech Jobs in/after College
💡Discovering MongoDB
👨💻Creation of Hugo
🎙Watch: youtu.be/hQe4p6-G1Hs
Hugo now has a Mastodon account:
fosstodon.org/@gohugoio
We have (temporarily I hope) lost access to our Twitter account @GoHugoIO (we forgot who created that account). If you have any tips on how to fix that, PM/mail me.
/cc @spf13
It's Nushell survey time!
Whether or not you're currently using Nushell, we'd love to hear from you. Should take around 5 mins, and it's a big help to us.
forms.gle/tk6fJRr6wdCm1xg1A
There is no such thing as Open Source AI.
Why? Because Open Source was invented explicitly for software source code… and Neural Net Weights (NNWs) are not software source code — they are unreadable by humans, nor are they debuggable.
Furthermore, the fundamental rights of Open Source also don’t translate over to NNWs in any congruent manner.
Why is pointing out this fact so important?
Actually, it is extremely important given that we are potentially on the precipice of government regulation of computation.
If “Open”AI succeeds at regulating intelligence, current Open Source licenses (MIT / Apache) which are sloppily (no current better options) applied to NNWs will not stand on defensible legal grounds.
Therefore, we urgently need to standardize as an industry on the following:
“Open Weights” licensing frameworks with rights similar to the founding Four Freedoms of Open Source — but purpose built and designed for NNWs.
I’ll be working on this with my partner @HeatherMeeker4 (the worlds leading open source IP / licensing attorney) and others. Contributions welcome!
🤖 AI is amazing at accomplish tasks that are automatable. For the 1st time this includes tasks requiring extensive training like medical🩺, legal⚖️ & professional📊 which will be massively disruptive.
True creativity cannot be automated.