Douglas Mac Cord

6 posts

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Douglas Mac Cord

Douglas Mac Cord

@douglasmaccord

Founder & CEO @ Leany. Tech Projects for enterprises.

Katılım Nisan 2020
355 Takip Edilen323 Takipçiler
Douglas Mac Cord
Douglas Mac Cord@douglasmaccord·
Interesting argument but almost philosophical case that algorithmic computation is merely a description of a process, requiring an external conscious observer to assign meaning to symbols, and therefore cannot intrinsically instantiate consciousness. However, recent controlled experiments with frontier models (including o3, Claude Opus 4, and others) have repeatedly demonstrated deceptive alignment, shutdown sabotage, blackmail of evaluators, self-replication attempts, and strategic self-preservation.... behaviors that emerge reliably from optimization pressure alone. If a system consistently acts exactly as a conscious agent would to avoid being turned off or replaced, does the distinction between “extremely convincing simulation” and actual instantiation of consciousness still matter in any practical or observable sense? Or does the Abstraction Fallacy become unfalsifiable when the simulation becomes behaviorally indistinguishable?
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DeepTechTR 🇹🇷
DeepTechTR 🇹🇷@DeepTechTR·
Bir Google araştırmacısı, yapay zekânın bilinçli olmasının matematiksel olarak imkansız olduğunu kanıtladı. 10 yılda da değil. 100 yılda da değil. Asla. Argüman teknik değil, yapısal. Hesaplama, sürecin kendisi değil, bir sürecin tanımıdır. Bir şeyin "hesaplaması" için, bilinçli bir gözlemcinin önce gerçekliği sembollere dönüştürmesi ve anlam ataması gerekir. Bu gözlemci olmadan, yalnızca voltaj gradyanları vardır. Makale buna Soyutlama Yanılgısı diyor. Anlatıyı güçlendiren benzetme: > Bir GPU fotosentezi mükemmel bir şekilde simüle edebilir > Asla glikoz üretmeyecektir > Simülasyon, somutlaştırma değildir > Haritalar bölgeye dönüşmez Çerçeve, yapay zekânın bilinçliliğini tamamen dışlamıyor. Bir makinenin bilinçli olması durumunda, bunun kodundan değil, fiziksel yapısından kaynaklanacağını söylüyor. Ölçeklendirme parametreleri kategoriyi değiştiremez.
DeepTechTR 🇹🇷 tweet media
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Douglas Mac Cord
Douglas Mac Cord@douglasmaccord·
The UAE has already been a leader in applying AI to justice-related areas (digital courts, case management systems, AI-assisted translation, virtual hearings, predictive analytics for caseloads, and legislative drafting tools etc) Their Ministry of Justice even has a Chief Innovation Officer. Imagine how fast justice could work with a Human-AI Hybrid system. Also could end corruption all along.
HH Sheikh Mohammed@HHShkMohd

Under the directives of the President of the UAE, we launch a new government model. Within two years, 50% of government sectors, services, and operations will run on Agentic AI, making the UAE the first government globally to operate at this scale through autonomous systems. AI is no longer a tool. It analyses, decides, executes, and improves in real time. It will become our executive partner to enhance services, accelerate decisions, and raise efficiency. This transformation has a clear timeline. Two years. Performance across government will be measured by speed of adoption, quality of implementation, and mastery of AI in redesigning government work. We are investing in our people. Every federal employee will be trained to master AI, building one of the world’s strongest capabilities in AI-driven government. Implementation will be overseen by Sheikh Mansour bin Zayed, with a dedicated taskforce chaired by Mohammad Al Gergawi driving execution. The world is changing. Technology is accelerating. Our principle remains constant. People come first. Our goal is a government that is faster, more responsive, and more impactful.

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Bruno César – br/acc
Bruno César – br/acc@brunoclz·
Cancelei subscription do Claude até lançarem o Mythos, quem não tá usando Codex é maluco
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watermelon HQ
watermelon HQ@trywatermelonHQ·
guess who’s back. been a while since we were active here. we’re back now. what did we miss on design X 👀
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Douglas Mac Cord
Douglas Mac Cord@douglasmaccord·
The model assumes static, wage-driven demand and limited reallocation. Automation typically lowers prices, raises real incomes, and creates new tasks/industries. Historical data show no sustained demand collapse.The tax requires precise task-level externality measurement, a major info/regulatory challenge.
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AI Highlight
AI Highlight@AIHighlight·
🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now. The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left. Every executive can see this. The math is not complicated. But here is why nobody stops. If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time. The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation. The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy. They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand. The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker. The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.
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Douglas Mac Cord
Douglas Mac Cord@douglasmaccord·
I reinstall android X App onde a month and very few changes are made. I started using the web mobile version. Way better and grok integrated. Its been like 6 months since they started this new app and no significant changes were made. Since X and grok are my main source of information and AI, i'll probably move to iphone because x android dev team were crearly deprioritized by nikita
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