Master Plan 3 Whitepaper, Superchargers, Giga Berlin, Q1 Sales, Brand, EV Credits, Ram EV (04.05.23)
Bibliographic record
Abstract
➤ Tesla has published new details on Master Plan 3 - the transition to a fully sustainable economy ➤ New investor filings ➤ Supercharger V3 updates ➤ New Supercharger location voting: https://www.tesla.com/supercharger-voting ➤ Giga Berlin expansion details ➤ Giga Berlin plans new Model Y trim ➤ Germany / UK sales decline quarter over quarter ➤ KBB highlights Tesla in brand awards ➤ EV tax credit updates ➤ GM role reduction plan ➤ Ford to reduce lineup complexity ➤ New Dodge Ram EV specs unveiledShareloft: https://www.shareloft.com Twitter: https://www.twitter.com/teslapodcast Patreon: https://www.patreon.com/tesladailypodcast Tesla Referral: https://ts.la/robert47283Executive producer Jeremy Cooke Executive producer Troy Cherasaro Executive producer Andre/Maria Kent Executive producer Jessie Chimni Executive producer Michael Pastrone Executive producer Richard Del Maestro Executive producer John Beans Music by Evan SchaefferDisclosure: Rob Maurer is long TSLA stock & derivatives
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.055 | 0.010 |
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; both teacher heads agree on what is shown here.
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".