Capitalist Telepathics, Psychic Debt and the Search for Collective Intelligence
Bibliographic record
Abstract
The current state of capitalist digital telepathics, or what I will call telepathy 3.0, presents a serious threat to the prospects of human freedom (Žižek 2020) . Notably, the capitalist race to develop telepathics by Mark Zuckerberg’s Facebook/Meta, Elon Musk’s Neuralink and others represents an intensification of surveillance capitalism (Zuboff 2019 : 206). Through an examination of tech-sector marketing literature and industry critics this article examines contemporary development of Brain Computer Interfaces (BCIs), Neural Interfaces (NIs) and intensified social networks, revealing the expansion of surveillance capitalism and its shift into neurocapitalist telepathics. Is there an alternative to the corporate dystopia promised by telepathy 3.0? This article argues for a more soulful and speculative form of telepathics in fields including art, philosophy, design, architecture, engineering, cybernetics and even psychology. This tradition of prophetic art and human compassion must be nurtured in the face of massive corporate-led investments in predictive technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".