Alex Brooker @raspberryjamchi
Founder@Airside Labs | Building AI Agents, Red Teaming and Evals. If you're here I'd love to hear from you. Accelerate 🇬🇧 🚀 linktr.ee/alexbrooker London, UK Joined January 2018-
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@tunguz Exception proves the rule. The gatekeepers are still strong
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@griffitha why is it not profitable? That is a more important question to answer. We MUST work with atoms and not just electrons.
It would boost GDP. The slides created, the contracts reviewed, the emails worked on...
Adding Starlink to every UK train would be an incredible productivity boost 🛰️
@alexfmac looks great, let's build! 💪
Argh I'm starting to believe, positive vibes abound
This is insane. The kind of person you need at a company, and all the lawyers can do is raise concerns about the colours and the logo. Shameful behaviour from the middle managers here
Two months ago I was fired by Google for creating the Google Workspace CLI. It went viral, hit #1 on Hacker News, gained thousands of GitHub stars and many thousands of actual users in just a couple days. It was an incredible, confusing journey, from directors and leaders asking
Check out the latest article in my newsletter: 🎧 Podcast – Computer Says No: Why Airlines Won't Take Your Upgrade Money linkedin.com/pulse/podcast-… via @LinkedIn
Alex Brooker retweeted
Almost all AI model and agent progress is downstream from evals. Open weights post training for specific domains comes down to evals. Agent improvements in the applied AI layer is all about evals. Agentic enterprise deployments that actually can augment work is all about evals. It’s all evals. This will become a core competency of any enterprise in the future. The companies that are able to best understand their own (and/or customers) workflows and how well agents participate in that work will be in the best position to actually drive real automation.
@tomfgoodwin Yep, can confirm podcasts.apple.com/ca/podcast/tra…
@RabbleChorus It's all about control, and not wanting to encourage personal responsibility
@Jameswise @thetimes Good work James
Glad this is getting attention, but it has a blind spot I can't get past: it models who gets the gains from AI and never asks whether the gains get bigger. It has no room for the thing that actually goes scarce when competence gets cheap: trust. Why that matters, and why last week's Fable ruling proves it: airsidelabs.com/blog/abundance…
6/ When quality is universal, the question stops being "can it be built" and becomes "can it be trusted." Assurance. Verification. Provenance. The market the report can't represent, because trust shows up only as friction on adoption. Full argument: airsidelabs.com/blog/abundance…
5/ So trust goes scarce from both directions at once. From below: the market makes competence abundant, so buyers cling to brands they trust. From above: the state makes capability scarce, so access requires knowing who you are. Same destination, two roads.
1/ When software costs nothing to build, everything starts to look good. And the moment everything looks good, looking good stops being information. Competence becomes abundant. Trust becomes the scarce thing. The UK government's new AI 2030 report misses this. 🧵
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