John McBride retweeted
I’m super excited to be sharing The Beginners Guide to Training Your Own AI Coding Model on Your Own Data at @AllThingsOpen this year 🎉
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John McBride retweeted
I'M GLAD I'M NOT THE ONLY ONE
No wonder I like Deadlock
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John McBride retweeted
On episode 44 of @opensourceready, Brian (@bdougieYO) and John (@johncodes) speak with Mikyo King (@mikeldking) of @arizeai about building AI workflows that improve through observation and evaluation. They explore why evals extend beyond pass-fail tests, how open source helps ces, and when custom agent tooling earns its complexity. Tune in!

hubs.ly/Q04zmFWh0
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John McBride retweeted
This is basically what a career in Open Source is like
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This sounds like an absolute nightmare: 2 people, 1 team, one person has unfettered permission to slop as much as they want “to find value”. The other has to clean up the mess: guess where traditional “engineer” and “product” roles fall in such a hierarchy!

On principle, I reject the notion that in the age of AI, you have to drop the technical bar to the ground in order to find value and engineers only function is to make the slop-system actually work. Entire industries have emerged from value which was driven by elegant and nuanced technical engineering work!!! Hyperscalers, containers, Linux, ML/AI, etc etc!

The two-slice team also rejects the idea that design and delighting users is important at all: taste, user experience, agent experience, product flows, knowing the ICP, etc etc! Critical to a sustainable product!

Instead, I propose the 3-station ship:

- a crows nest
- a helm
- a star chart

Each station equally important: someone must sit the crows nest to see what’s on the horizon (talk to customers, understand user needs, prioritize where to go), someone must man the helm (steer the ship, direct the agents, fire the slop cannons when needed), and someone must ponder the star charts to know where the ship currently is (taste, delightful user experiences, intuitive agent experiences)

The rest of the ship? Manned and operated by agents doing the grunt work.
Tired: Two-pizza teams

Wired: Two-slice teams

@danshipper on the best team structure in the AI-era
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John McBride retweeted
the east-to-west journey along 57th street in manhattan is fertile ground for creative reflection. it has it all. aspirational commercialism at its sugary center dissolving at either end into the void. euphoria, nihilism, nordstrom. you can live a thousand lives between the fdr and the wsh
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Good morning New York!
At AIE in NYC tomorrow and Wednesday! 🗽🗽 who will be there?
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simple utilize the flake-part in your nix flake which you have to turn on as a sys feature because flakes aren’t real yet but everyone uses them but we won’t tell you that, it’s a secret 🤭
nixos documentation be like
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John McBride retweeted
i still can't believe mcp caught on

like man

coulda just been an openapi extension and saved us all the pain
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At AIE in NYC tomorrow and Wednesday! 🗽🗽 who will be there?
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John McBride retweeted
Make something agents want.
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John McBride retweeted
oh boy i LOVE my weekly weekend biblical flood i LOVE living in a tropical climate in BROOKLYN NYC
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All this reverse engineering and cracking of software/video games because of AI has me very worried and I believe will lead to fewer freedoms, not more.

Companies now have zero incentive to ship you a binary without extreme DRM and hardware level anti-consumer sniffers and telemetry.

Reverse engineering copyright was always a very grey area because of how difficult and painstaking it was. Now with AI, one person can crack a game in weeks, not years and years needing a whole team.

This will likely lead to companies justifying ending client based software delivery in favor of streaming based cloud services and games.

At its very worst, consumer hardware and GPUs with local AI may get classified as “pirating machines” that become difficult or illegal to own because of how copyright and ownership laws get re-written around AI.

It’s not “you will own nothing and be happy” it’s “you will stream everything off a server and be complacent”.
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Why? Why spend hundreds of thousands of dollars on slop tokens when you could direct the same effort and tokens at good, established, distributed projects like LibreOffice, Gimp, Kdenlive, Thunderbird, etc etc

My hunch is that this is pure clout chasing and they have zero interest in actually maintaining the software past its slop-formation
The developer who started the project of cloning Photoshop and other Adobe projects with AI is now going after Microsoft Office.

WordCraft is here. Like other Craft projects, this one is in Rust too and this one is in Alpha too.

Start is a good thing. But will we ever see the finished product?
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John McBride retweeted
Using every move in Pokémon Emerald simultaneously
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How are they pushing this level of polish? 100% AI. They are a highly skilled and talented dev team using AI thoughtfully and methodically to 100x their outcomes.

AI in the hands of the skilled practitioners leaps and bounds over AI vibe slop
the level of detail Valve is putting into Deadlock feels like they are just showing off.

Solomon has a different animation for reloading and shooting depending on how many pieces are left on the chess board.

Valve is nuts. How the hell are they pushing this level of polish?
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John McBride retweeted
Intelligence 64
What's coming after superintelligence?
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The amount of vibe-abandonware, vibe-stolen assets, and just straight up bullying of people in the open source ecosystem needs to be called out.

Talent is so so important and while I’m bullish on software, we must consider that engineering as a craft is being rapidly eroded and without a fresh talent-pipeline, we will find ourselves with critical infrastructure that no one can maintain or tend the garden to.
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John McBride retweeted
Replying to @mikeldking
@mikeldking, our head of open source, joined @opensourceready to talk about all things agent observability. Big thanks to @bdougieYO and @johncodes for the great conversation!
On episode 44 of @opensourceready, Brian (@bdougieYO) and John (@johncodes) sit down with Mikyo King (@mikeldking) to explore why an agent can fail even when its model gets things right. They discuss observing the full agent workflow, using evaluations to uncover unexpected hether skills actually improve results. Along the way, Mikyo shares how @arizeai approaches open source collaboration as coding agents reshape the contribution process.

hubs.ly/Q04zmFM10
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John McBride retweeted
I am confused, why are people wasting billions of tokens replicating Adobe products rather than directing the efforts toward excellent open source projects like Gimp, Darktable, Krita etc? People have spent so much time building these. It just feels like a colossal wastage overall.. 🤔
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