2/14/22: Ukraine Escalation, Trucker Convoy, Clinton Spying, Trump's Toilet, CNN Derangement, Obama's Delusion, Afghanistan Crisis, & More!
Bibliographic record
Abstract
Krystal and Saagar cover the latest Biden administration warmongering in Ukraine, Canada's escalation towards the Trucker convoy, Hillary's campaign operation to spy on Trump, the report Trump flushed White House documents down a toilet, CNN's deranged views on Joe Rogan, Obama's terrible midterm strategy for Dems, the real history of NATO, and Biden's decision to steal billions from Afghanistan.To become a Breaking Points Premium Member and watch/listen to the show uncut and 1 hour early visit: https://breakingpoints.supercast.com/To listen to Breaking Points as a podcast, check them out on Apple and SpotifyApple: https://podcasts.apple.com/us/podcast/breaking-points-with-krystal-and-saagar/id1570045623 Spotify: https://open.spotify.com/show/4Kbsy61zJSzPxNZZ3PKbXl Merch: https://breaking-points.myshopify.com/Ali Latifi's work: https://authory.com/Ali https://www.businessinsider.com/facing-hunger-desperate-afghans-are-selling-their-kidneys-for-money-2022-1 Learn more about your ad choices. Visit megaphone.fm/adchoices
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.939 | 0.023 |
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".