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Sando George
948 posts

Sando George
@sandogee
Futurist | Software Engineer | Strategic Advisor | Military Officer Opinions are my own.
The City of Gold شامل ہوئے Aralık 2010
651 فالونگ102 فالوورز
Sando George ری ٹویٹ کیا

ENERGIES (MDPI) told me that I should promote my work ... They published it... so, here is the promotion ;-)
Title: Dynamic Knowledge Management in an Agent-Based Extended Green Cloud Simulator
Link: mdpi.com/1996-1073/17/4…
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I think about this everyday. The coding models are standing on the shoulders of giants.
Sam Altman@sama
I have so much gratitude to people who wrote extremely complex software character-by-character. It already feels difficult to remember how much effort it really took. Thank you for getting us to this point.
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Reading: Reuters / AP (Feb 17, 2026) — fast overview + wider context.
reuters.com
apnews.com
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Reading: Ofcom update (Feb 3, 2026) — what online-safety enforcement can/can’t do for AI chatbots. ofcom.org.uk/online-safety/…
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Sando George ری ٹویٹ کیا

Do it scared.
Do it tired.
Do it doubting.
Do it imperfect.
Do it alone.
Do it anyway.
Rumi@rumilyrics
You literally just have to get really good at continuing.
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@sandogee If this is not true 100% then hiw true is 100%???
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@marcinpaprzycki Full agreement that formal verification is the only TRUE 100% test. I'm mainly referring to common unit/integration testing here though. I decided to try and was able to get one of my code bases to 100% in about 12hrs using GPT-Codex-5.3. I had done about 53% manually.
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@sandogee Yes, it is as there is no way to imagine everything and/ or it will take forever. The only 100% test is formal verification.
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@Jayyanginspires Writing forces a level of accountability that is often ignored when speaking.
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I'm in the middle of writing my second book, and dang, this is so true.
Deep fake@thats_pers0nal
people think writing is about being smart but actually it's about being honest which is way harder
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Reading: arxiv.org/pdf/2601.09760 — shows how tool vs memory conflicts can quietly break reliability; provenance makes the mismatch visible.
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Reading: arxiv.org/pdf/2601.20727 — argues for “LLM audit trails” (tamper-evident provenance) as a practical accountability mechanism.
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