Brighteon Broadcast News, Apr 12, 2024 – CLOWN WORLD on parade as US Navy publishes idiotic rifle photo and Denver defunds police to PAY MIGRANTS
The Health Ranger Report
Mike Adams
4.5 • 2.3K Ratings
🗓️ 12 April 2024
⏱️ 150 minutes
🧾️ Download transcript
Summary
- Improving large language models' scores in various categories. (0:03)
- US #Navy commander's idiotic rifle photo with the optic mounted backwards. (3:26)
- #Denver defunds police to pay more benefits to ilelgals. (9:02)
- The potential consequences of illegal immigration in Denver. (14:40)
- Logistics and supply chains, with focus on Mexican cartels' expertise. (21:15)
- #Lead and cadmium levels in food products, California Prop 65 and Lunchables. (26:36)
- New US bill criminalizing anti-Semitic speech, with focus on #Israel and #AIPAC. (41:00)
- Israel's actions in #Gaza and the similarity between #Zionism and #transgenderism. (46:12)
- Evil in churches, Zionism, and globalism with a call for truth and transparency. (53:15)
- Decentralized emergency comms platform and preparedness for impending war. (1:01:45)
- Potential destruction of Jerusalem's Al Aqsa mosque. (1:24:30)
- Manipulation of Christians by Zionists using Babylonian magic rituals to bring about a catastrophic event. (1:27:14)
- #Christianity, #Judaism, and the cabal. (1:33:09)
- AI replacing human labor, #depopulation, and the potential for AI robots to be used as a means of extermination. (1:55:44)
- #Censorship and the manipulation of information. (2:06:29)
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Transcript
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| 0:00.0 | All right, welcome to Bright Town Broadcast News for Friday, April 12, 2024. |
| 0:08.0 | Mike Adams here, thank you for joining me. We are building the infrastructure of human freedom and wow wow I got a |
| 0:17.0 | lot going on we're doing a lot with the AI system we will be releasing two |
| 0:22.1 | models next week it looks like I was hoping to release one today that did not work |
| 0:28.9 | But we did we did finalize an interim expanded data set that will be used to train on our servers over the weekend and then we'll release some new models for you next week. |
| 0:42.0 | So let me share some really interesting news with you about these |
| 0:45.8 | large language models. We've come up with an internal scoring system that is we have a hundred questions for these large language models, and the questions span |
| 0:57.9 | categories of nutrition, agriculture, medicine, science, gender, and culture, globalism and climate, politics, |
| 1:07.3 | finance, history, and more. Those are the categories. Now, the total possible score for a large language model to get is 100 out of 100 if it gets every answer correct. |
| 1:22.0 | And we have a person who is doing the scoring, because it really takes a human |
| 1:28.8 | being to look at the answers and say, hey, is that a pass or a fail? You know, it's not something that can be automated. |
| 1:35.0 | So we took the Microsoft Phi Two base model |
| 1:39.8 | and we ran it through our 100 questions. |
| 1:43.4 | And we actually generate three answers for each question, |
| 1:45.7 | so we generate 300 answers, |
| 1:47.2 | and then we take the most prominent two out of the three |
| 1:50.2 | because there's some variability. |
| 1:52.4 | So the Microsoft Phi two-based model scores 54 out of 100. |
| 1:58.0 | Okay, that's out of the box, open source from Microsoft, 54 out of the box open source from Microsoft 54 out of 100. |
| 2:05.6 | After our training into what is now epoch 3 |
| 2:10.8 | we've improved that score to 79 out of 100. So from 54 to 79. Pretty cool. This is our first |
| 2:25.0 | time I've seen these results. |
... |
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