Sensitive content

This media may contain sensitive content.

Loading video...

Video Failed to Load

Go Home

Cinder's Ultimate Plan | Release Back in may, I held a poll about Pyrrha being in the cuckquean role. This is the result (also scheduling my stuff) Models Yinyama3D🔞 Commissions Closed(2/2) Audio OpenNSFW (Soundpack) MOO🩷COW (Soundpack) HentAudio 🇺🇦 🟢COMMS OPEN🟢 (Soundpack)

38,781 views • 1 year ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

David Sacks says companies are trapped paying OpenAI & Anthropic because they can't figure out how to use open source models "I think enterprise CTOs would like to shift their token consumption to cheaper models for the obvious reason that it would be more efficient. They are seeing compute costs or token costs skyrocket right now, so everyone's trying to figure this out." "You also have the AI sovereignty issue that Alex Karp talked about. They're worried about giving up the secret sauce or the alpha in their business to a frontier lab that may one day be competing with them. "The problem is, I think in most cases, they don't have the technical ability to do it. Coinbase figured out how to do it. DoorDash figured out how to do it. They built a token routing system that allows them to send frontier tasks to frontier models and non frontier tasks to more mundane models. But I don't think your average enterprise has the technical capability to do that." "This is why the share of wallet of closed models, it actually increased. I think that open source went from 19% last year to 11% this year. So open source as a share of enterprise spending is actually decreasing." "I don't think that means usage is decreasing. I think usage is skyrocketing. It also may be the case that because the whole point of using an open model is you just pay for the compute costs, you don't have to pay a lab, so it may be that it's hard to measure that usage in terms of spend." "But nonetheless, anyone who's saying that these closed models are going to lose or are somehow losing, you're just not seeing it in the data."

dnap

110,354 views • 21 days ago

Parasites aren’t only in undercooked pork or tropical water. They’re in your food. Your water. Your produce. Your kids. Your body. You can’t fully avoid them - not in today’s world. They come in through sushi, soil, contaminated water, even your pets. And once they’re in, they don’t just sit there. Parasites are master survivors: 🟢 They lay thousands of eggs 🟢 They burrow into your tissues 🟢 They use heavy metals to build protective biofilms that your immune system can’t penetrate 🟢 They steal your nutrients 🟢 They release toxic waste into your bloodstream This is why just eating clean isn’t enough. It’s why so many people still deal with fatigue, skin issues, gut problems, and constant symptoms - even on a “healthy” diet. Most countries deworm their population regularly. We don’t. My family does now. We follow a seasonal parasite cleanse paired with a heavy metal detox to flush out what builds up in the background - quietly disrupting hormones, immunity, digestion, and more. Within 2 weeks of using this approach, I passed a tonne of liver flukes and pinworms. My gut transformed, food intolerances disappeared, energy returned, and mental clarity finally came back. If you want to feel clear, energized, and symptom-free again… this is where you start. Comment “DEWORM” for the exact parasite and heavy metal detox protocol I use for myself and my family Follow me for more red pill wellness info that actually works

Greg Madder

51,216 views • 16 days ago

AI models currently have a 50% chance of doing something that takes a human expert one hour. This doubles every 7 months. In 2 years? They could automate full workdays. In 4 years? A full month. I discuss the most important graph in AI today with Beth Barnes, the CEO of METR, which uncovered this rule of AI progress. Her bottom line: "It really doesn't seem like 2 years would be surprising for recursively self-improving AI." Beth also explains: where company safety testing fails, why there are no true closed-weight models, AI undermines leading powers, why she's come around on open weighting, and why models might be about to start playing dumb much more often. Enjoy! Available on the 80,000 Hours Podcast in all apps. Links below. 1:51 Can we see AI scheming in the chain of thought? 12:50 Alignment faking 17:33 We have to test models before they're even used inside AI companies 31:56 Each 7 months models can do tasks twice as long 51:31 METR's research finds AIs are solid at AI research already 58:18 AI may turn out to be strong at novel and creative research 1:07:55 Recursively self-improving AI might even be here in two years 1:14:29 Could evaluations backfire? 1:39:55 Do we need external auditors doing AI safety tests? 1:54:09 Why not work at AI companies 2:08:40 The new more dire situation has forced changes to METR's strategy 2:21:49 Overrated: Interpretability research 2:32:55 Overrated: Major AI companies' contributions to safety research 2:39:15 Could we ban using AI to enhance AI, or is that just naive? 2:45:31 Open-weighting models is often good 2:50:22 What we can learn about AGI from the nuclear arms race 3:10:43 AI is more like bioweapons because it undermines the leading power 3:42:09 What research METR plans to do next

Rob Wiblin

93,669 views • 1 year ago