The hottest Critiques Substack posts right now

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True Transhumanism, Part 1

Extropic Thoughts • 176 implied HN points • 11 Oct 23

📖 Philosophy Transhumanism Technology Critiques Life philosophy Worldview

Transhumanism is a philosophy that embraces transformative technologies for improving the human condition.
Critics of transhumanism have shifted from questioning its feasibility to pondering how to control its impact.
Transhumanism values continual improvement and critical rationalism, and seeks to shape better futures through science and technology.

Apple's Next Big Thing

God's Spies by Thomas Neuburger • 40 implied HN points • 23 Jan 24

🕹 Technology Apple Virtual reality Augmented reality Critiques Future Tech

Apple needs a Next Big Thing beyond iPhones for its reputation and growth.
Apple is focusing on services to maximize revenue and profits.
Apple's new device, the Apple Vision Pro, emphasizes mixed reality for entertainment and work applications.

The Dawn of Tomorrow: Terrapunk, Solarpunk, and Heliogenesis Unveiled

Anima Mundi • 20 implied HN points • 20 Oct 23

🔬 Science Technology Environment Society Narratives Critiques

Terrapunk envisions human settlements beyond Earth, exploring interstellar frontiers.
Solarpunk imagines a future Earth harmoniously integrated with technology and nature.
Heliogenesis combines ecological principles with advanced technology, focusing on solar energy.

The Effective Altruism movement is deeply flawed and probably not salvageable

Bram’s Thoughts • 39 implied HN points • 11 Jul 23

📖 Philosophy Charity Effectiveness Critiques

Effective Altruism movement has flaws and may not be fixable
There are concerns about transparency and leadership in the movement
Issues with pet causes, like AI safety and veganism, are affecting the movement's focus

A challenge for AI sceptics

Philosophy bear • 1 HN point • 14 Feb 24

📖 Philosophy AI Mind Debate Critiques

Being an AI skeptic involves questioning the significance of current machine learning research compared to its hype.
Critiques of contemporary machine learning models often involve concerns about their lack of explicit processing, grounding of symbols, and theoretical basis.
The challenge presented is to define a task that current large language models cannot perform, with specific criteria to avoid loopholes or biased assessments.

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