Warren Buffett to buy Pilot Flying J truck stops
Bibliographic record
Abstract
Warren Buffettâs company is acquiring a major stake in Pilot Flying J truck stops and it will become a majority owner within about five years. One of the world's richest men is buying a bunch of truck stops.Warren Buffettâs company is acquiring a major stake in Pilot Flying J truck stops and it''ll be a majority owner in about five years.There are 750 of them in 44 states and Canada. Pilot is the 15th largest private company in the U.S. and is worth almost $20 billion per year.Buffet's Berkshire Hathaway will buy 38.6 percent of Pilot now, but that'll increase to owning 80 percent of the company by 2023.Financial terms werenât disclosed, so it wasnât immediately clear how much of Berkshireâs roughly $100 billion in cash will be used.Buffet's reported to be the fourth wealthiest men in the world, with a net worth of $76.9 Billion.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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".