DeepSeek Upends Silicon Valley’s Sci-Fin-Fi Business Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Commentary on DeepSeek’s release of its R1 model fails to capture three critical points: just how decisively R1’s release has upended the Silicon Valley business model; how decisively China is winning the technological war that the US and the West have been waging; and how the release of R1 demonstrates more clearly than ever that, notwithstanding decades of anti-socialist propaganda to the effect that, for all its faults, capitalism is best at advancing technology and, thus, the forces of production, while socialism has always failed at innovation, capitalism’s capacity to advance the forces of production is manifestly exhausted, while socialism is only now beginning to show its potential in that respect. This article discusses the first point in detail, showing that the vaunted Silicon Valley Model is systematically reliant on hyping what the technologies it offers can deliver in terms of growth or material welfare and on financial hype about the returns it can bring, combining science and financial fiction. It also traces the main academic arguments that have been mustered to support this fictional approach. It touches on the other two points only briefly in the conclusion.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it