Gavin Phillips

Got 194 countries to believe in us; two years in a row.

Former UN Global Platform Programme Manager.

Eco geek.
I also like rugby and Nintendo

[Gavin Phillips @GavinCP87]

@JRB___2 @LovelyStuffFC @Factbaitaccount @MingNoMerci @PolitlcsUK We wish youd stop

[Gavin Phillips @GavinCP87]

@F1GuyDan Awesome

[Gavin Phillips @GavinCP87]

@vamp1bella Google

[Pablo Fredrikson @PeladoNerd]

https://t.co/zfFpPnJbdr

[Gavin Phillips @GavinCP87]

@BernardLekaj @yacineMTB This

[Gavin Phillips @GavinCP87]

@LinkedInLunat1c Dont show the Phil Collins fan any business cards!

[Gavin Phillips @GavinCP87]

@handsdealts @Lifeonwheels95 Banger. Chefs kiss

[Gavin Phillips @GavinCP87]

@MattVautour424 Loving this thread. Constant giggles

[Neil Stone @DrNeilStone]

"Covid vaccines didn't work"

🤡🤡🤡

[Simon Maechling @simonmaechling]

Spend 20 years studying Chemistry.
Collect data. Publish papers. Pass peer review.

Earn a PhD. Go online. Get told you're wrong - by an electric screwdriver salesman.

That's the internet.
Expertise vs confidence.

Science isn't broken.
Our respect for it is.

[Mitchell Hashimoto @mitchellh]

Fable is a good model. As with all new models, it is simultaneously excellent and entirely unremarkable (relative to other models). It is slow and expensive, and the "loops are all you need" discourse they are pushing is obvious in the context of someone using Fable-class models

What I've found so far is that for broad scope design (code architecture) tasks, Fable is unremarkable. Or, not better enough to justify its cost and speed.

But in highly targeted goal-oriented loops, it is another beast entirely. It is very slow but produces very good results.

I let it churn on optimizing a SwiftUI-layout resolver in Go I wrote and it was able to bring it down to an order of magnitude I could not reach myself (micro => nanosecond scale). But it took 2 hours and $40 to do it and I had to claw back some changes it overfit to Apple Silicon. Still, very worth it.

In comparison, for "implement this feature/change" iterative work, I ran head-to-head Fable vs GPT5.5 vs. GLM-5.1. They all produced equally acceptable final results, but GPT5/GLM did it in a couple minutes and Fable was churning away for 40 minutes. And GLM cost me less than a dollar, GPT5.5 ~$1.50, and Fable cost $9.

You can see that in this context, interactively working with an agent is nonsense. Its too slow. You need to write loops to keep the agent working and you probably want to highly parallelize the work being done. As with all things, I think a balance makes sense...

My sense is that I'd reserve Fable for targeted, surgical analysis and work. Not for daily driving everyday tasks.

I'm going to keep spending a shitload of money (relatively) and maining Fable for the rest of the week to continue to judge, will report if anything changes. I'll continue to head-to-head as well.

[GitHub Projects Community @GithubProjects]

Enterprise architecture governance used to mean expensive tools and slow consultants.

ArcKit is free, open-source, and AI-native:

→ 68 slash commands for architecture artifacts.
→ 10 autonomous research agents.
→ Works with Claude Code, Copilot, Gemini CLI & Codex.
→ Built-in UK Gov compliance (Green Book, Orange Book).
→ MCP servers for AWS, Azure & GCP research.

[GitHub Projects Community @GithubProjects]

One command to scaffold a full EA project:
arckit init my-project.

Explore here:
https://t.co/eyqYt43FIc

[Gavin Phillips @GavinCP87]

@Nigelrefowens "Usual suspects"

[Mitchell Hashimoto @mitchellh]

I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.

I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really).

It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely.

The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture.

We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying.

I worry.

[Gavin Phillips @GavinCP87]

@10Mattgray @LWaunfawr @BBCWalesNews @OSullivanMike Id welcome specific examples to widen my understanding

[Chris Smith @renewablesmiffy]

My first onshore sites designed for 20 years are still running at 30+ years. My first Offshore site Scroby Sands running quite happily at 22 years will no decommissioning plans. Every decommissioned site I worked on was re-powered with significantly larger capacities.

[Gavin Phillips @GavinCP87]

@EarlJBH @Femi_FPolitics @LeoKearse Liberty, libertatianism has nowt to do with opportunity.

Libertarianism has been broadly shaped by liberal ideas. Libertarians advocate the expansion of individual autonomy and political self-determination, emphasizing the principles of equality b...

https://t.co/GzlVd29CcN

[Gavin Phillips @GavinCP87]

@mathladyhazel Golden ratio in nature?

[Chubby♨️ @kimmonismus]

1/ Everyone’s talking about trillion-dollar labs and billion-dollar compute.
But a 50-person team just ranked among the top 3 AI video models in the world.