SMN: What Are The Real Dangers Of A.I.?
Bibliographic record
Abstract
Hi. In today's episode, we look at the hype surrounding artificial intelligence, the way corporations are desperate to use it to save money, and the theory among some rich people that it's going to destroy civilization.SOURCES: https://docs.google.com/document/d/1lVRzVsIFEjkdMlatEOoQrrJ0tRBAVR_iCQrfuaclNA4/edit?usp=sharingCheck out our MERCH STORE: https://www.teepublic.com/stores/somemorenews?ref_id=9949 SUBSCRIBE to SOME MORE NEWS: https://tinyurl.com/ybfx89rh   Subscribe to the Even More News and SMN audio podcasts here:Apple Podcasts: https://podcasts.apple.com/us/podcast/some-more-news/id1364825229 Spotify: https://open.spotify.com/show/6ebqegozpFt9hY2WJ7TDiA?si=5keGjCe5SxejFN1XkQlZ3w&dl_branch=1 Stitcher: https://www.stitcher.com/show/even-more-news  Follow us on social media: Twitter: https://twitter.com/SomeMoreNews Instagram: https://www.instagram.com/SomeMoreNews/ Facebook: https://www.facebook.com/SomeMoreNews/ TikTok: https://www.tiktok.com/@somemorenews Go to https://eightsleep.com/MORENEWS and save $150 on the Pod Cover by Eight Sleep. That's the best offer you'll find, but you must visit https://eightsleep.com/MORENEWS for $150 off. Eight Sleep currently ships within the USA, Canada, the UK, select countries in the EU, and Australia.It's a no-brainer. If you want to get way more shows and save money while you're at it go to https://ExpressVPN.com/morenews. Don't forget to use my link so you can get three extra months free.Leave summer stress behind and upgrade your CBD. Go to https://NextEvo.com/MORENEWS to get 20% off your first order of $40 or more.If you want to take ownership of your health, try AG1 and get a FREE 1-year supply of Vitamin D AND 5 Free AG1 Travel Packs with your first purchase. Go to https://drinkAG1.com/MORENEWS.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.205 | 0.008 |
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".