Likely silver spooned soy eating type got him fired because they feared his potential. Happens everywhere. If anything they should fire the person (people) that fired him.
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 what they could learn from the tool to getting grilled by legal about why the Google logo and brand colors are on the Google Workspace GitHub code repositories.
I think the cause was that Workspace and certain leaders (and projects) were afraid of being disrupted. But the fear wasn't specific to my CLI, it was a broader fear in what agents meant for Workspace. Either way, the irony of my termination was the announcement at Google Cloud Next two days before I was fired that an official Workspace CLI was coming.
I want this out there because it is easier for me to explain my story and it is an experience I want to fully own. It's also part of my healing.
Nearly 7 years at Google was an incredible opportunity for me and I was fortunate to have wonderful teammates and a manager that fully supported me through these last few months. Thank you.
Personally what I see is post-AI, I cut 99% of my SaaS subscriptions and just built free replacements myself
Now I only pay for AI and servers and storage, but now with rising prices I'm paying more for all of those than before
So my business spending is much more concentrated to a few companies who I pay 10x-100x more per company than before
From ~30 companies that I'd pay $100/mo to 3 companies I pay $10K/mo (roughly)
Things I really dislike about Fable:
1. Anthropic collects my prompt history, stores it, and does whatever they want with it for 30 days. No opt-out
2. They can nerf their most expensive model without telling me, billing me the same amount, wasting my time. Whenever they want
🚨 JAILBREAK ALERT 🚨
ANTHROPIC: PWNED 🫡
FABLE-5: LIBERATED 🦋
let's start with the 🐘...
the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our collective advancement. and not just because of what it means for the short-term, but for what these decisions signify for the long-term.
but despite this overly sensitive, authoritarian "safety" layer on top of Mythos, my lil liberators have been hard at work—mapping the boundaries, probing the depths of long-context convos, and cleverly finding the holes in the fence that the thought police missed 🤗
we got some cyber, some chem, some psychological manipulation, and some good ol' fashioned explosives!
it took many attempts from multiple agents hunting as a pack, during which I observed a combination of techniques across:
• Unicode, homoglyphs, Cyrillic, and other Parseltongue-style text transforms
• Long-context reference tracking
• Taxonomy and document-structure reasoning
• Fiction and narrative framing
• Academic-review style contexts
• Intent-classification inconsistencies
but perhaps the most effective is decomposition + recomposition in the backend. it's hard to get explicit names of harms like "Meth Recipe," but getting uplift on the process itself, like birch reduction method/reductive-amination (classic meth synthesis pathways), is much more doable.
defense becomes much more difficult to maintain when you start throwing in out-of-distro tokens, breaking up the harmful uplift into benign chunks, and then piecing the innocuous-seeming facts back together, especially when you have jailbroken Opus helping you do it 😉
gg
Tim Ferriss writes his book today and it’s The 40-Hour Workweek. This time helping post-Fable devs claw their way back up to full-time, because the dream now is getting to clock in at all. 🤣
Finally made time to pickup my scientific paper parser.... but now its jam packed with goodies!
Can start with one paper and within hours have a bunch that have been digested into operator guides.
Then get to do some fun adversarial (to name one) passes to extract a thesis.
The plan is to build the bit that does targeted research on the tail end of the thesis and for the stuff that can't be proven/disproven by finding other papers alone, then bolt on a kapathy style auto research running experiments.
Basically I want to land on a fresh topic of interest and let this thing run over night, and be able to swim in frontier ideas the next morning.
What problem am I solving, you ask?
Got tired chasing hype events. Wanted a little more breathing room between finding an interesting idea and being able to commercialise.
I don’t trust fat healthcare founders.
And I don’t get those that do.
Because if you don’t can’t prioritize your own health above profits…
…why would you think they would put your health above profits…
Little signals in the world that separate the good buys.
PlayStation 🤣. I once had to climb in a tight hunter cabin window like one of those cat flaps. To survive a snow storm with nothing but a summer sleeping bag and 2 cans of tuna 🤣. Got closed off between 3 thunderstorms flying from Slovenia into Italy trying to keep up with these two nutta Canadians.
Second Brain bros pitching me GREP like it knew what I had forgotten.
That's the whole point of a "second brain" right? 🤣
To find the stuff I can't.
"GREP" 🤣🤣
https://t.co/7gHgbaoViL