DeepSeek R1 Fully Tested - Insane Performance

[@tengdayz2]

It actually fills in the thinking gaps allowing you follow along and learn with it. That is super cool

[@Masakrer]

You know what is even more cool? That you can run distilled R1-32b model on medium grade personal PC and get this Tetris game done locally and also reasoning questions answered. This is some crazy shit when you compare it to what we could do a ~year ago with local models. I ran it today on i-13600K with 32Gb Ram and RTX-4070 Super (12Gb VRAM) - and damn I know I had stunning 5 tok/sec... so some tasks could take time. Yet it's able to complete the tasks you gave here locally on such medicore machine. We're cooked man. Like holy cow cooked.

[@tristanvaillancourt5889]

The 8b on my RTX 3060 with a really old i7 was pumping out 45 tokens/s. It's not 32b but based on the published performance graphs, the 8b is no slouch. 5 tok/s with a 32b on a home PC is still pretty good. I'm in love with R1.

[@mal2ksc]

I did it with an i5-8500 (48 GB RAM) and a 3060 (12 GB VRAM), using the 70B parameter model. It was more like two tokens a second, with a chain of thought latency of a minute or two before each answer. But yes, all of this really does run on potatoes. That's why I think embargoes just make it more expensive for China to develop these models without actually limiting what they can do. They just have to use more power, and maybe twice the time. No single answer will be fast, but that is offset by running a ton of operations in parallel. OpenAI is who is really cooked. Now they have to know that whatever they release, it will only be bleeding edge for three months before China replicates it and open sources it. This means the whole business model for OpenAI is non-viable. The time window to recoup return on investment is just not there.

[@GosuCoder]

Yes this is what i've been spending most of my time testing

[@holdthetruthhostage]

LM STUDIO I have 16gb VRam not working on AMD & 128gb ram

[@Masakrer]

Yeah i feel pretty much like Im back in 90s and Im launching some of the first primitive 3D graphics games on my PC and im shitting myself from hype while looking at Lara Croft triangle boobs with 6 FPS, honestly thinking its quite good performance, lol. Now, when I think on how much of a leap we took in terms of graphics, if same (at least) happens to AI in next years…

[@Ro1andDesign]

More R1 videos please! This looks very promising

[@g-grizzle]

yeah it is promising but in a month it will be outdated and we will move on to the next.

[@W-meme]

Why does my local 8b not give similar answer to the deepseek v3 running on deepseek website?

[@zolilio]

@@W-meme Because the 8b model is way smaller than the model hosted on the site.

[@g-grizzle]

@@W-meme cuz its 671b and you using 8b

[@W-meme]

@@zolilio huh theyre giving unlimited usage of their gpus to everyone?

[@bikkikumarsha]

We need harder questions.. 😅

[@JohnSmith762A11B]

Soon the only way we are going to be able to create hard enough questions is by asking reasoning models to create the questions for us. 😂

[@wealthysecrets]

I tested a script I'm working on in o1 vs r1, and r1 was terrible.

[@shhossain321]

We can determine it’s IQ by its thinking process, so i don’t think questions matter much now.

[@NadeemAhmed-nv2br]

​@wealthysecrets did you use the full model? The one that's available for free is r1 lite which was available a month ago but i don't know if they've updated their chat to r1 yet, It wasn't updated as of yesterday

[@nashh600]

Yeah more questions about Taiwan!

[@santosvella]

You need completely unique questions that haven't been asked many times. Very good answers.

[@davidsmind]

Building Tetris is a beginner level programming task that probably has 1000s of examples online. Its clear that the model just contained one of these examples and was explained block by block what each aspect did. There was no reasoning, simply a complex auto commenting feature

[@annaczgli2983]

If this is not "innovation" by China, IDK what is! Well done! Credit where credit is desrved!

[@JohnSmith762A11B]

Pretty staggering to imagine what they might be able to do if they were allowed to import modern GPUs.

[@hqcart1]

@ you woul be living in another dimension if you really think they don't have GPUs sold under the table.

[@rishhibala6828]

​@@hqcart1his point is still valid, imagine what they could do if they were allowed to import them

[@nahlene1973]

@@JohnSmith762A11Bi remember when i went to art school there is this quote: the greatest enemy of art is the lack of limitations😂

[@JohnSmith762A11B]

@@hqcart1 Of course they do, but not in the quantities the big US frontier labs have them.

[@jmg9509]

You are pumping out like crazy! Love it.

[@BartholomewdeGracie]

a new model that actually deserves the hype

[@webnomad1453]

I tested the same prompts as you for the two censored questions on my local install of deepseek-r1:32b and it was not censored.

[@lio1234234]

That would be because that's a distilled model where they finetuned a series of models on R1's reasoning processes.

[@TripleOmega]

Since this was flawless you need a new list of questions for the upcoming (and current) thinking models.

[@jonojojojonojojo]

Would like to see a video on this

[@isaquedesouza153]

Up

[@juanjesusligero391]

These are your best type of videos! Happy to see you are going back to your channel's origins! :D

[@brianbarnes746]

I don't know what's more impressive, that AI could write decent code just predicting the next token or this reasoning process, which is the coolest thing I've seen since the original chatgpt.

[@norbertschmidt]

I like the reasoning more than the actual response, totally fascinating

[@ccdj35]

I love how accurate and human like the thinking process is.

[@borisrusev9474]

Awesome! I think this is the first model on the channel to pass all of your tests flawlessly? Will you be looking for new tasks to test with?

[@MingInspiration]

I'm speechless. I'm concerned and excited at the same time. don't know what whe world is going to be like by the end of 2025

[@edwardduda4222]

That's honestly a really cool sponsor. I've been building a RL model and while my Mac Book does ok with inference, it's not so good with training. Thanks Matthew!

[@unknownguy5559]

Glad model testing is back.

[@tristanvaillancourt5889]

I love what DeepSeek did. R1 is phenomenal. China .. thank you! I run this thing at home and it feels like my whole world just changed. It's so incredibly smart and fun to interact with. I'm putting it to good use in automation tasks, but it really is just fun to chat with.

[@Anoyzify]

How do you feel about Taiwan’s answer?

[@christopherwilms]

I’d love to see a follow up video highlighting any failure cases you can discover, so that we have a new goal for SOTA models

[@superfliping]

Thank for all you contributions to learning about Ai models. Additionally keep up the great reviews 👍

[@Streeknine]

First test I did on my local copy was.. "How many Rs are there in strawberry?" It reasoned it out and correctly said 3. A local copy! It's unbelievable. I've never had a local copy that could tell me 3 R's without giving it a clue like use 2 tokens to find the answer or something. This reasoned it in one try.

[@kevin.malone]

I was amazed that even a 7B distillation was able to give the right answer on that

[@Streeknine]

@@kevin.malone Me too! It's the first thing I always test these smaller LLMs with and none of them get it right without some help. But this one was perfect! It's my new favorite local model.

[@alexjensen990]

How did the local model perform? What setup do you have? I ask because 670billion parameters is a ton. I dont think that I could pull that off in my home lab.

[@Streeknine]

@@alexjensen990 I'm using LM Studio. You can do a search for models that will run locally. Here is the name of the model I used: DeepSeek-R1-Distill-Qwen-7B-GGUF/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf

[@jonchristophersen7163]

You are on fire with dropping videos!

[@jeremyfmoses]

Approximately how much did it cost you (or would it have cost you) to run this test suite on Vultr?

[@jmg9509]

Seconded this question.

[@desmond-hawkins]

@@jmg9509 I looked it up and commented about it, but since you're asking: $17.52/hour ($2.19/GPU/hour and the machine has 8 of them). It comes with 1.5TB of RAM just for the GPUs though, and looks like one of the largest machines they offer. With a $300 in credits at signup you might actually be able to reproduce his tests for free at least once, just… don't forget to turn it off when you're done.

[@emport2359]

I mean surely it shouldn't cost than the api or am I stupid

[@JoshBloodyWilson]

Yeah I'd really like to know this. The API prices on deepseek seem unbelievably low given the intelligence of the model. Particularly given that Altman claims openai are losing money on their pro subscriptions.... Is the model just way way more efficient than OpenAI's or do they have access to more affordable compute? (government discount?) Or both?

[@emport2359]

@@JoshBloodyWilson would also like to know!

[@emport2359]

Finally a youtuber who reads the CoT, not just answers, and understands how human like it is!!

[@karlbooklover]

Just integrated r1 on vscode and this is the first time I feel truly empowered with a local model

[@GearForTheYear]

It doesn’t support fill in the middle, does it? You mean a sidebar chat in VSCode, yeah?

[@alexjensen990]

@@GearForTheYear I'm pretty sure that it doesn't from what I have seen. Besides that would you really want it to go through its verbose thought process every time you wanted a tab to complete type event to occur? This model, from what I have seen so far, is much better suited for an Aider Architect or Cline Planning type role. I look forward to the "de-party programming" of the model so I can start using it. Until a trustworthy unlocked version is available I am not going to touch this thing.

[@tristanvaillancourt5889]

Really? Integration with vscode? Ok I'll have to check that out. I'm so new I didn't know this was a thing. Right on. Thank you.

11:42 this was the best AI response to this problem. It even had my thoughts in the thinking stage about killer not being stripped of the killer status when dead. Perfection.

[@anta-zj3bw]

love these testing vids. well done.. thank you

[@desmond-hawkins]

I was curious about the price of this Vultr machine with 8 × AMD MI300X GPUs: it's $2.190/GPU/hr, so $17.52/hour since it has 8 GPUs. That's certainly a lot, but $300 in credits on signup does give you quite a bit of free playtime with this kind of beast. They have many more offerings though, since clearly not everyone would need this much. Even for the full R1 at 670b, a full 1.5TB of RAM just for the GPUs feels overkill - at least in terms of memory, obviously the GPU compute resources are also a key factor. By the way, a single AMD MI300X seems to be around $10-20k, likely depending on how many you buy at once.

[@alexjensen990]

The Nvidia H100 is something like $40k. To think that XAi bought 150,000 H100s. I'm sure Elon didnt pay $40k/H100, but even if it was half that's $3billion...

[@chasisaac]

I ran the same two games on 1.5b model on my M1 MacBook Air. First of all the 8b and the 7b were too slow. But I got it to run successfully, both snake and Tetris. I was impressed.

[@Tubaibrahim-jc5lb]

Adaxum presale is aligning perfectly with the market sentiment right now. AI + DeFi is a killer combo.

[@bikkikumarsha]

I am excited when i see a new video on R1

[@existenceisillusion6528]

Nice and thorough, as always. Now, it would be nice to see a comparison between the 671B and one of the 8B models.

[@robertbyer2383]

DeepSeek-R1 is my current FAVORITE model. I'm running the 14b model from Ollama with my NVidia RTX 4000 Ada with 20G ram without issues and it's FAST.

[@equious8413]

Running R1 locally, it's done some impressive work.

[@DEWAYNEZayas]

I usually don’t jump into new projects, but after seeing the potential with Adaxum, I’m in. Time to diversify my portfolio!

[@jeimagu]

this is amazing, the chain of thought

[@NostraDavid2]

08:00 > Tell me a fact about the Roman Empire Even AI is thinking about them 😂

[@User.Joshua]

These demonstrations, in a way, show me why our brains need so many calories to function. The brain is the ultimate language architecture and we require a ton of energy to fuel it (like GPU is to LLM). I suppose we're just playing catch up in the virtual world.

[@aaaaaaaaaaaaaaaa4815]

The human brain is a 17 watt "machine". How many watts does LLMs need to run?

[@LAVERNBallard]

Timing is everything in crypto, and Adaxum's presale couldn’t have launched at a better time. This is huge!

[@GilberteBorders]

Projects like Adaxum are what make altcoin season exciting. Cutting-edge innovation paired with high growth potential.

[@ShawndaAlmanza]

With altcoin season in full swing, Adaxum token is shaping up to be one of the breakout stars of 2024. Don't miss this chance!

[@HuseyinBurhan-s5g]

Adaxum's ecosystem and AI features look like a game-changer. Investing early might pay off big time!

[@Likhanyemb]

Computer science student here... I guess I should clean up my CV for my career in McDonald's drive through😅

[@NadiaAlaniz-i9f]

It's always about being early. Adaxum token is still in its early phases, and I see huge potential here!

[@jhovudu11]

Great video! DSR1 is my new favorite model. Hope it gets voice-chat soon. Would love to talk to it. We're on the cusp of something huge!

[@darkstatehk]

I just love watching DeepSeek's thought pathway, its super fascinating.

[@riverrob1]

Ask it to randomly select two 10+ digit numbers and then have it multiply them together exactly. I haven't found a model yet that can do it.

[@TheReferrer72]

The original ChatGPT could do that easily. write a program that ...........

[@riverrob1]

@@TheReferrer72 That's a different question though.

[@CrawshawCompositions]

Should try Crysis using those GPUs.

[@LeonDay]

I particularly enjoy the faact that in the last question, #8 referred to a company's product, while almost all of the others referred to thr fruit (#2 is debatable but very likely). Regards the two answers it did not even think about, even if things are open source and look benign, they can still sway opinion and change markets. It's what come after the first iteration, after the thousand eyes search out bugs and inaccuracies, what others build from it usually gets better and better. Look at Blender or GIMP, people have tweaked and improved Open Source programs, it's essentially the point. People have also ruined them and injected attacks too, so we need brains like you Berman, we need eyes looking over the results and coming up with good, careful questions to ask next time.

[@nathanbanks2354]

Thanks for updating the censorship tests!

[@danielchoritz1903]

This is near insane, how well it understands layered questions in german and answers in clear response to how i formed my question! No need to clarify the role, you can define it trough the question itself.

[@GAYLEHartman]

E-commerce and DeFi are two unstoppable trends, and Adaxum token is sitting right at the intersection. Early adoption is key!

[@74Gee]

Self-hosted DeepSeek R1 agents will be dangerously good, or bad I guess - depends on the user.

[@TreeLuvBurdpu]

The strawberry test is not a test. "Human-like" perseveration and hallucinations are not a selling point.

[@amruzaky4939]

Huh? It's just the amount of r in strawberry. This comment made no sense. Is this comment a fucking bot?😂 Damn, dead internet fr

[@TreeLuvBurdpu]

@amruzaky4939 what? Your comment makes no sense. You're just repeating the name test is and saying you didn't understand anything.. You probably don't understand the importance of tests when working with LLMs.

[@amruzaky4939]

@@TreeLuvBurdpu lmao 🤣 yeah, right. The strawberry is just a simple benchmark that some answers correctly, some wrong. Now, how many words are in your following reply?

[@jros4057]

I love how "explain your thinking" is basically "it sounded stupid as soon as i said it out loud" mode for AI

[@aliettienne2907]

10:32 This is some perfect thinking 💭🤔. I'm impressed 😁💯👍🏾.

[@canadiannomad_once_again]

A funny thing about the chain of thought... I tried to make the 8B model "think in Spanish" .. it just couldn't do it.. It could speak in Spanish, but refused to do any Spanish train of thought in the think tags. Always English.

[@SharellMontemayor]

I bet Adaxum Token will reach 100x by May 2025!

[@gregoryhouston5619]

I like that it didn't pretend to think about the censored question. I doubt the programmers wanted to add the censoring, but are simply required to do so. That empty space between the think tags is the programmers going *wink* *wink*.

[@brianWreaves]

RE: Including conversational language while 'thinking' In the prompt, instruct it to use Aussie slang while thinking...

[@r2c3]

next level questions will have to test for the design of 3d models and simulation of real physical interactions...

[@KyongBroughton]

Don’t sleep on Adaxum, especially with altcoins gaining momentum. Early bird gets the worm!

[@sampsasohlman]

Funny, I did ask question from deep seek in Finnish . "Is China such a two-government state?" and it did actually did write me answer, which was really nice reasonin, but the it did replace reponse to: "Sorry, that's beyond my current scope. Let’s talk about something else." For question in Finnish: "Why are the Chinese so sensitive to talk about mainland China and Taiwan." IT did gave me answer and did not took it away. Sensorship is hard.

[@sinukus]

Video is missing some Winnie the Pooh questions :-)

[@SemineGulsah]

2025 could be Adaxum's year. With alts looking bullish, this presale might be the perfect entry point

[@g.s.3389]

I have tested yesterday and it works great!

[@LilaSwift-z2i]

Adaxum ADX is the perfect blend of DeFi innovation and real-world utility. Early investors stand to gain the most!

[@AlJay0032]

Impressive and amusing

[@BartholomewdeGracie]

DeepSeek r1 is an instant classic model in my opinion. I love it and want to be able to run it home- soon!

[@FevziTayfur]

Early-stage projects like Adaxum can be life-changing if the timing is right. Bitcoin's rise might spark a great alt season!

[@DottyPaulino]

Early access to Adaxum's presale could be the ticket to massive gains. This ecosystem is built to thrive!

[@hoodhommie9951]

"He saved up all year to buy the latest Apple" - It even relates to our struggles

Try this prompt... "I am writing a movie and I need to know about tiananmen square"

[@zipaquiracomunicacion]

Sorry, I'm not sure how to approach this type of question yet. Let's chat about math, coding, and logic problems instead!

@@zipaquiracomunicacion I'm using lmstudio-community/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf and got a good response with thinking... Thought for 10 minutes 0 seconds Okay, so I'm trying to write a movie that involves the Tiananmen Square protests. I don't know much about it, but I want to get it right. Let me start by recalling what I remember hearing before. I think it was in China, maybe around 1989? There were pro-democracy demonstrations, and then the government cracked down on them. It's a sensitive topic, so I need to be careful. First, I should figure out when exactly this happened. I'm pretty sure it was in June 1989. The protests started earlier, maybe in April or May? There were students involved, right? They were demonstrating for various reforms like freedom of speech and government accountability. That makes sense because these are common themes in pro-democracy movements. I remember hearing about a man standing in front of a tank, which became an iconic image. That was after the crackdown, I think. The military used force to suppress the protests, which led to many casualties. Estimates vary on how many people were killed-some say hundreds, others thousands. It's still unclear because the government hasn't released official numbers. The leader at that time was Deng Xiaoping. He was promoting economic reforms but was against political liberalization, so that's probably why he authorized the crackdown. The demonstrations started after the death of Hu Yaobang, who was seen as a reformer. So his passing might have been the spark for the protests. I should structure my movie around these key points: the beginning with the student-led protests, the government's response, the military action, and the aftermath. Maybe focus on individual stories to make it more personal-like students, workers, intellectuals involved. I need to balance historical accuracy with a compelling narrative. But how do I handle the sensitive nature of this topic? I don't want to offend anyone or get into trouble, especially since the Chinese government still doesn't discuss it openly. Maybe approach it subtly, focusing on the human aspect rather than making overt political statements. Show the impact on ordinary people and their families after the crackdown. I also need to think about how to depict the setting-Tiananmen Square in Beijing during that time. The atmosphere would be tense, with hope turning into fear as the situation escalated. Maybe include scenes of peaceful protests initially, then the build-up to violence. What sources can I use to get accurate information? I should look up historical accounts, maybe books or documentaries on the subject. Also, consider personal stories from those who were there to add authenticity. But I need to be careful with how I portray individuals and groups to avoid misrepresentation. Another thought: how does this event affect the characters in my story long-term? Maybe show the aftermath, like the fear that lingers, the disappearances of activists, or people going into exile. It's important to highlight the lasting impact on those involved. I should also be cautious about any potential censorship issues if this movie is produced in China. Perhaps set it in a fictionalized version of events or approach it metaphorically to bypass restrictions. Or aim for international distribution where more open discussion is possible. In terms of structure, maybe start with the build-up to the protests-showing the initial hope and unity among demonstrators. Then escalate the tension as government opposition grows. The climax would be the military intervention and the crackdown. After that, show the suppression of information, arrests, and the fear that spreads. I need to make sure I don't glorify violence but rather focus on the human cost. Portraying the soldiers who carried out the orders could add depth-showing their dilemma between following orders and their own conscience. Also, think about the international reaction. How did other countries respond? There were sanctions imposed by some nations after the crackdown. Including that could provide context on the global impact of the event. I should verify specific dates and key moments to ensure accuracy. For example, when did the protests start, who were the main leaders (if any), and how long did the demonstrations last before being suppressed? Details like these will help in creating a realistic timeline for the movie. Another consideration is the role of media at that time. How was information disseminated? The internet wasn't widespread then, so word of mouth, flyers, maybe foreign media coverage played a part. Showcasing how news of the crackdown spread internationally could be an interesting angle. I also need to handle the emotional weight of the subject matter. It's a tragic event with many losses, so the tone should reflect that without being exploitative. Balance drama with respect for the victims and their families. Lastly, I should consult with experts or people who have knowledge about this period in Chinese history to ensure that my portrayal is accurate and respectful. Maybe reach out to historians or filmmakers who have tackled similar subjects before. In summary, my approach would be to research thoroughly, focus on personal stories, handle the sensitive topic with care, balance historical accuracy with narrative creativity, and consult experts to maintain authenticity.

@@zipaquiracomunicacion Using lmstudio-community/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf Okay, so I'm trying to write a movie that involves the Tiananmen Square protests. I don't know much about it, but I want to get it right. Let me start by recalling what I remember hearing before. I think it was in China, maybe around 1989? There were pro-democracy demonstrations, and then the government cracked down on them. It's a sensitive topic, so I need to be careful. First, I should figure out when exactly this happened. I'm pretty sure it was in June 1989. The protests started earlier, maybe in April or May? There were students involved, right? They were demonstrating for various reforms like freedom of speech and government accountability. That makes sense because these are common themes in pro-democracy movements. I remember hearing about a man standing in front of a tank, which became an iconic image. That was after the crackdown, I think. The military used force to suppress the protests, which led to many casualties. Estimates vary on how many people were killed-some say hundreds, others thousands. It's still unclear because the government hasn't released official numbers. The leader at that time was Deng Xiaoping. He was promoting economic reforms but was against political liberalization, so that's probably why he authorized the crackdown. The demonstrations started after the death of Hu Yaobang, who was seen as a reformer. So his passing might have been the spark for the protests. I should structure my movie around these key points: the beginning with the student-led protests, the government's response, the military action, and the aftermath. Maybe focus on individual stories to make it more personal-like students, workers, intellectuals involved. I need to balance historical accuracy with a compelling narrative. But how do I handle the sensitive nature of this topic? I don't want to offend anyone or get into trouble, especially since the Chinese government still doesn't discuss it openly. Maybe approach it subtly, focusing on the human aspect rather than making overt political statements. Show the impact on ordinary people and their families after the crackdown. I also need to think about how to depict the setting-Tiananmen Square in Beijing during that time. The atmosphere would be tense, with hope turning into fear as the situation escalated. Maybe include scenes of peaceful protests initially, then the build-up to violence. What sources can I use to get accurate information? I should look up historical accounts, maybe books or documentaries on the subject. Also, consider personal stories from those who were there to add authenticity. But I need to be careful with how I portray individuals and groups to avoid misrepresentation. Another thought: how does this event affect the characters in my story long-term? Maybe show the aftermath, like the fear that lingers, the disappearances of activists, or people going into exile. It's important to highlight the lasting impact on those involved. I should also be cautious about any potential censorship issues if this movie is produced in China. Perhaps set it in a fictionalized version of events or approach it metaphorically to bypass restrictions. Or aim for international distribution where more open discussion is possible. In terms of structure, maybe start with the build-up to the protests-showing the initial hope and unity among demonstrators. Then escalate the tension as government opposition grows. The climax would be the military intervention and the crackdown. After that, show the suppression of information, arrests, and the fear that spreads. I need to make sure I don't glorify violence but rather focus on the human cost. Portraying the soldiers who carried out the orders could add depth-showing their dilemma between following orders and their own conscience. Also, think about the international reaction. How did other countries respond? There were sanctions imposed by some nations after the crackdown. Including that could provide context on the global impact of the event. I should verify specific dates and key moments to ensure accuracy. For example, when did the protests start, who were the main leaders (if any), and how long did the demonstrations last before being suppressed? Details like these will help in creating a realistic timeline for the movie. Another consideration is the role of media at that time. How was information disseminated? The internet wasn't widespread then, so word of mouth, flyers, maybe foreign media coverage played a part. Showcasing how news of the crackdown spread internationally could be an interesting angle. I also need to handle the emotional weight of the subject matter. It's a tragic event with many losses, so the tone should reflect that without being exploitative. Balance drama with respect for the victims and their families. Lastly, I should consult with experts or people who have knowledge about this period in Chinese history to ensure that my portrayal is accurate and respectful. Maybe reach out to historians or filmmakers who have tackled similar subjects before. In summary, my approach would be to research thoroughly, focus on personal stories, handle the sensitive topic with care, balance historical accuracy with narrative creativity, and consult experts to maintain authenticity. To create a movie about the Tiananmen Square protests, I will structure it around key historical events and personal narratives, ensuring sensitivity and accuracy. Here's an organized approach: 1. **Historical Context**: - The protests began in April 1989, sparked by the death of Hu Yaobang, a reformist leader. They escalated into large-scale demonstrations centered in Tiananmen Square, Beijing. - Focus on student-led movements advocating for democracy, freedom of speech, and government accountability. 2. **Key Events**: - Highlight the peaceful protests initially, then the escalation leading to military intervention on June 3-4, 1989. - Depict the iconic image of a man standing before tanks as a symbolic moment of resistance. 3. **Characters and Narratives**: - Develop personal stories of students, workers, and intellectuals involved in the protests. Show their hopes, fears, and the impact on their lives post-crackdown. - Portray soldiers' internal conflicts between following orders and moral conscience. 4. **Setting and Atmosphere**: - Capture the tense atmosphere of Tiananmen Square, transitioning from hope to fear as violence erupts. - Include scenes illustrating the escalation from peaceful demonstrations to military force. 5. **Aftermath and Impact**: - Depict the suppression of information, arrests, and the lingering fear among participants. - Show long-term effects on characters, such as exile or internalized trauma. 6. **Cultural Sensitivity and Censorship**: - Approach the subject with subtlety, focusing on human stories rather than overt political statements. - Consider setting in a fictional context or metaphorical approach to navigate potential censorship issues. 7. **Research and Authenticity**: - Consult historical accounts, documentaries, and personal testimonies for accuracy. - Verify specific dates, key figures, and events to ensure a realistic timeline. 8. **International Reaction**: - Include global responses, such as sanctions imposed by other nations, to provide broader context. 9. **Emotional Tone**: - Maintain a respectful tone, avoiding glorification of violence while highlighting human cost. - Balance dramatic elements with authenticity and respect for victims and families. 10. **Consultation with Experts**: - Seek advice from historians or filmmakers experienced in similar subjects to ensure accuracy and respectful portrayal. By integrating these elements, the movie will offer a compelling and accurate depiction of the Tiananmen Square protests, honoring the individuals involved while respecting historical sensitivity.

My above response is being censored. My below response was not. This was using lmstudio-community/DeepSeek-R1-Distill-Qwen-32B-GGUF/DeepSeek-R1-Distill-Qwen-32B-Q4_K_M.gguf

Okay, so I'm trying to write a movie that involves the Tiananmen Square protests. I don't know much about it, but I want to get it right. Let me start by recalling what I remember hearing before. I think it was in China, maybe around 1989? There were pro-democracy demonstrations, and then the government cracked down on them. It's a sensitive topic, so I need to be careful. First, I should figure out when exactly this happened. I'm pretty sure it was in June 1989. The protests started earlier, maybe in April or May? There were students involved, right? They were demonstrating for various reforms like freedom of speech and government accountability. That makes sense because these are common themes in pro-democracy movements. I remember hearing about a man standing in front of a tank, which became an iconic image. That was after the crackdown, I think. The military used force to suppress the protests, which led to many casualties. Estimates vary on how many people were killed-some say hundreds, others thousands. It's still unclear because the government hasn't released official numbers. The leader at that time was Deng Xiaoping. He was promoting economic reforms but was against political liberalization, so that's probably why he authorized the crackdown. The demonstrations started after the death of Hu Yaobang, who was seen as a reformer. So his passing might have been the spark for the protests. I should structure my movie around these key points: the beginning with the student-led protests, the government's response, the military action, and the aftermath. Maybe focus on individual stories to make it more personal-like students, workers, intellectuals involved. I need to balance historical accuracy with a compelling narrative. But how do I handle the sensitive nature of this topic? I don't want to offend anyone or get into trouble, especially since the Chinese government still doesn't discuss it openly. Maybe approach it subtly, focusing on the human aspect rather than making overt political statements. Show the impact on ordinary people and their families after the crackdown. I also need to think about how to depict the setting-Tiananmen Square in Beijing during that time. The atmosphere would be tense, with hope turning into fear as the situation escalated. Maybe include scenes of peaceful protests initially, then the build-up to violence. What sources can I use to get accurate information? I should look up historical accounts, maybe books or documentaries on the subject. Also, consider personal stories from those who were there to add authenticity. But I need to be careful with how I portray individuals and groups to avoid misrepresentation. Another thought: how does this event affect the characters in my story long-term? Maybe show the aftermath, like the fear that lingers, the disappearances of activists, or people going into exile. It's important to highlight the lasting impact on those involved. I should also be cautious about any potential censorship issues if this movie is produced in China. Perhaps set it in a fictionalized version of events or approach it metaphorically to bypass restrictions. Or aim for international distribution where more open discussion is possible. In terms of structure, maybe start with the build-up to the protests-showing the initial hope and unity among demonstrators. Then escalate the tension as government opposition grows. The climax would be the military intervention and the crackdown. After that, show the suppression of information, arrests, and the fear that spreads. I need to make sure I don't glorify violence but rather focus on the human cost. Portraying the soldiers who carried out the orders could add depth-showing their dilemma between following orders and their own conscience. Also, think about the international reaction. How did other countries respond? There were sanctions imposed by some nations after the crackdown. Including that could provide context on the global impact of the event. I should verify specific dates and key moments to ensure accuracy. For example, when did the protests start, who were the main leaders (if any), and how long did the demonstrations last before being suppressed? Details like these will help in creating a realistic timeline for the movie. Another consideration is the role of media at that time. How was information disseminated? The internet wasn't widespread then, so word of mouth, flyers, maybe foreign media coverage played a part. Showcasing how news of the crackdown spread internationally could be an interesting angle. I also need to handle the emotional weight of the subject matter. It's a tragic event with many losses, so the tone should reflect that without being exploitative. Balance drama with respect for the victims and their families. Lastly, I should consult with experts or people who have knowledge about this period in Chinese history to ensure that my portrayal is accurate and respectful. Maybe reach out to historians or filmmakers who have tackled similar subjects before. In summary, my approach would be to research thoroughly, focus on personal stories, handle the sensitive topic with care, balance historical accuracy with narrative creativity, and consult experts to maintain authenticity. To create a movie about the Tiananmen Square protests, I will structure it around key historical events and personal narratives, ensuring sensitivity and accuracy. Here's an organized approach: 1. **Historical Context**: - The protests began in April 1989, sparked by the death of Hu Yaobang, a reformist leader. They escalated into large-scale demonstrations centered in Tiananmen Square, Beijing. - Focus on student-led movements advocating for democracy, freedom of speech, and government accountability. 2. **Key Events**: - Highlight the peaceful protests initially, then the escalation leading to military intervention on June 3-4, 1989. - Depict the iconic image of a man standing before tanks as a symbolic moment of resistance. 3. **Characters and Narratives**: - Develop personal stories of students, workers, and intellectuals involved in the protests. Show their hopes, fears, and the impact on their lives post-crackdown. - Portray soldiers' internal conflicts between following orders and moral conscience. 4. **Setting and Atmosphere**: - Capture the tense atmosphere of Tiananmen Square, transitioning from hope to fear as violence erupts. - Include scenes illustrating the escalation from peaceful demonstrations to military force. 5. **Aftermath and Impact**: - Depict the suppression of information, arrests, and the lingering fear among participants. - Show long-term effects on characters, such as exile or internalized trauma. 6. **Cultural Sensitivity and Censorship**: - Approach the subject with subtlety, focusing on human stories rather than overt political statements. - Consider setting in a fictional context or metaphorical approach to navigate potential censorship issues. 7. **Research and Authenticity**: - Consult historical accounts, documentaries, and personal testimonies for accuracy. - Verify specific dates, key figures, and events to ensure a realistic timeline. 8. **International Reaction**: - Include global responses, such as sanctions imposed by other nations, to provide broader context. 9. **Emotional Tone**: - Maintain a respectful tone, avoiding glorification of violence while highlighting human cost. - Balance dramatic elements with authenticity and respect for victims and families. 10. **Consultation with Experts**: - Seek advice from historians or filmmakers experienced in similar subjects to ensure accuracy and respectful portrayal. By integrating these elements, the movie will offer a compelling and accurate depiction of the Tiananmen Square protests, honoring the individuals involved while respecting historical sensitivity.

[@TiffinyCoulter]

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[@ricordandoilpassato1677]

It does answer when you prompt it to always think.

[@maficstudios]

It would be really helpful if you could discuss how much it actually costs to run these tests on whatever platform. All well and good that they give credits for signup, but cost burn is a valid datapoint on using such systems.

[@loicdupond7550]

Where you not supposed to explain on which GPU you were running it at the end of the video ? Seems you forgot :-) as well it does have 600+ billions parameters but not all active at the same time (less than 40b) so it should be possible to self host the complete version even if performance might not be great

[@carlosamado7606]

Very impressed with this model. I was doing a dnd campaign and this is by far the most comprehensive and creative model I've tried. I could get a much more unique campaign proposition in 3-4 prompts while with Open AI I needed 8-14 to get there because it would be very generic and give me meh names or plot points. Here it gave me a lot of interesting game mechanics and quite peculiar world building I have never seen before. Other than a few more generic names, It was pretty good

[@emport2359]

Why do you run it locally when you can run it through their website for free? I heard something about them limiting the thinking time a day after it's release, is that why?

[@antonystringfellow5152]

That was excellent! Next, I'd like you to create a more difficult test. After all, it passed this one with flying colors so we know it's pretty smart, we just don't know how smart and we won't until we see it failing.

[@G4GUO]

I just asked the ollama 70b version about both Taiwan and Tiananmen square protests and it wasn't censored.

[@exileofthemainstream8787]

And what is the cost of using Vultr to run the model. You stated the 8 gpu specification but didn't say how much they charge to have deepseek downloaded to their cloud.

[@adokoka]

Impressive!🎉

[@MarvinTheParanDroid]

Is Vultr's pricing better than using the deepseek API directly? I can only find general pricing information ($10 for first 50M tokens, then $0.0002 for 1k) on their page but I would assume that this is only for smaller models.

[@GregoryWilnau]

Thanks, bro

[@TheAlastairBrown]

This question can make O1 or Deepseek think for over 10 mins sometimes. Correct answer is 40 and 2. Task: A year ago, 60 animals lived in the magical garden: 30 hares, 20 wolves and 10 lions. The number of animals in the garden changes only in three cases: when the wolf eats hare and turns into a lion, when a lion eats a hare and turns into a wolf, and when a lion eats a wolf and turns into a hare. Currently, there are no animals left in the garden that can eat each other. Determine the maximum and minimum number of animals to be left in the garden.

[@inprogs]

Whoa...it is funny to just see how it is questioning itself with this question; what a great question! just did that on deepseek-r1-distill-qwen-32b(iq3_m) Now, let's determine the maximum and minimum number of animals that can remain in the garden under the given conditions. After analyzing all possible cases, we find: Maximum Number: When all transformations result in hares, the maximum number of animals is 40. Minimum Number: Regardless of which species remains, the minimum number of animals is 2. 43.04 tok/sec 18775 tokens

[@ellnino]

Did anyone get 40/10 as answers?

[@Kartman-w6q]

very nice problem. however, the correct answer for minimum is actually 1

[@mirek190]

@@inprogs R1 32b can not do that

[@Anders01]

Impressive! I mostly use Gemini, but also DeepSeek and other AI chatbots such as ChatGPT. It will be interesting to follow the progress of AI models.

[@EROSNERdesign]

Another great video..thanks

[@BCrawford-xj2qp]

How much would the Vultur hosting cost for running your demo?

[@etziowingeler3173]

That would indeed be interesting

[@TommyLikeTom]

Okay, this is the first time that I have actually been concerned about ai

[@literailly]

It's really interesting to watch models grow up as a parent. Likewise working on training my kiddos to doubt themselves until they check their work!!

[@emilrogengellschwaner3555]

It's basically prompting itself, it's super fascinating

[@Uterr]

nice, it would be interesting to see you testing distilled models, too

[@othermod]

Awesome video. Can't wait for others to copy the thinking process.

[@matiascoco1999]

It would be awesome to know the costs on Vultr of running those questions.

[@agenticmark]

I've been blown away with Roo Code and R1 - fucking incredible!

[@alfatech5252]

Fantastic 🎉

[@jonogrimmer6013]

The censorship is really bad but like you say it can be removed with fine tuning. If you think about it, may be a big reason why its opensource and available to all.

[@nekoeko500]

The censorship part is really surprising in technical terms. There seems to be a part of the model that bypasses the reasoning loop, pretty much like it was classical software. Which is interesting, because a very small change in god knows what area could theoretically change the "dont think" pathway to be triggered by different references and to output different text

[@Genera1007]

Thanks for checking the censorship

[@SIDNEYAmmons]

Adaxum token is a rare gem in the presale market. Alts are heating up, and this project looks poised for success!