Sandeep
@sandeep
Sandeep
We might move toward a “signed reality.” Just as we use SSL certificates to prove a website is genuine, we may soon demand that cameras and microphones cryptographically sign their content at the moment of capture. If a photo of a car accident doesn’t have a digital chain of custody proving it came from a specific lens at a specific time, insurance... See more
Sam Schillace • We are going to need proof of work for everything
Proof of work - solutions?
BlockChain, which is more Proof-Of-Ownership than Proof-Of-Work, is NOT energy intensive, but it does require a chain of trust, which in BitCoin's case required scale, to compensate for the lack of a central authority, which therefore requires more energy, but not like the other one...
We may need apprentice, probation, small projects… That said, I don't really care about who wrote the homework or did the job interviewee really do everything he said he did. Those, as you mentioned, were always proxies for the real questions - in this case, what did you learn and can you do the job. We just need to get better at getting to the real questions. (And if they can use AI to do the job, why not AI on the test/interview?)
What I really care about is when people use AI enhanced lies to steal or manipulate us into doing things we wouldn't do if we knew the real truth. When people can crank out believable lies at 10-100x faster than verified truth, that's a problem. We become inundated with lies and, as you mentioned, that erodes trust and leads to paranoia
The idea that hit me this morning is that society has always relied on its own implicit version of Proof of Work for all kinds of things. We have operated on the assumption that if a document, a photo, a technical report, slide deck, student essay or any “cognitive artifact” was complex, it was hard to produce. That difficulty was our proxy for... See more
Sam Schillace • We are going to need proof of work for everything
Proof of work
We Share 99% of our DNA with Chimpanzees
In business, as in biology, sometimes it is just the 1% that is different that matters, and you can ignore the 99% that is the same. It doesn’t matter if we share 99% of our DNA with chimpanzees, because the difference is all in the 1%.
Successful entrants often only change a tiny percentage of the business... See more
In business, as in biology, sometimes it is just the 1% that is different that matters, and you can ignore the 99% that is the same. It doesn’t matter if we share 99% of our DNA with chimpanzees, because the difference is all in the 1%.
Successful entrants often only change a tiny percentage of the business... See more
The Midwit Trap
Large language models allow us to see anew about how we think and learn: not through the rigid application of universal laws, but through the recognition of patterns across vast landscapes of experience. When a chef seasons a dish, when a mother knows her child is lying, when a trader senses a market shift—these aren’t moments of mechanical... See more
Just a moment...
🧠 Distributed Cognition & Systems Thinking
In distributed systems (technical or cognitive), waiting for perfect information can lead to latency, deadlock, or missed opportunities . Systems often rely on local views and bounded rationality — making the best decision with what's available.
⚙️ SRE & Resilience Engineering
In incident response, teams... See more
In distributed systems (technical or cognitive), waiting for perfect information can lead to latency, deadlock, or missed opportunities . Systems often rely on local views and bounded rationality — making the best decision with what's available.
⚙️ SRE & Resilience Engineering
In incident response, teams... See more
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Most engineers move too slowly because they treat every decision as irreversible.
I used to waste days overthinking choices I could have rolled back in minutes.
Careful did not mean professional. It just delayed progress.
Stop asking, “What if I’m wrong?”
Start asking, “Can I reverse this fast and with minimal impact?”
If yes, move forward now.
Substack
... See moreSo, what’s the broader lesson? In practice, our risk models (implicit or otherwise) are always miscalibrated: a history of past successes is just one of multiple avenues that can lead us astray. Trying to achieve a perfect risk model is like trying to deploy software that is guaranteed to have zero bugs: it’s never going to happen. Instead, we need... See more
Nothing fails like a history of success
We better get damned good at recovery
