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Timelapse #156 (36 hrs) - Worked with the tiny corp on getting GLM 5.2 running on 8xMI300X (sglang won here) - Launched KernelBench-Mega and updated Kernelbench-Hard with h100 and b200 sweeps - Took care of boring business stuff - Did some training sweeps for specialized technical vocab audio model...

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Elliot Arledge

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45,447 просмотров • 24 дней назад •via X (Twitter)

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GLM-5.2 running on Mac Studio Clusters or RTX GPU rigs isn't how Local AI will get mass adopted. For mass adoption we need to focus on two axes: 1. Intelligence/Speed Frontier. This is being tracked on local dot ai. Aggressive co-design is needed across the entire stack to push up the frontier specifically for local hardware. Better kernels, inference tricks like spec decoding, quantizing models, model routing. 2. Usability / UX. To use Local AI today, you need to install CLIs, select a model, a quantization, a harness that works best with that model, and you need to configure your inference engine. It's not very accessible. More work needs to be done on making this seamless, so the user doesn't even know the AI is running locally.
1:52

GLM-5.2 running on Mac Studio Clusters or RTX GPU rigs isn't how Local AI will get mass adopted. For mass adoption we need to focus on two axes: 1. Intelligence/Speed Frontier. This is being tracked on local dot ai. Aggressive co-design is needed across the entire stack to push up the frontier specifically for local hardware. Better kernels, inference tricks like spec decoding, quantizing models, model routing. 2. Usability / UX. To use Local AI today, you need to install CLIs, select a model, a quantization, a harness that works best with that model, and you need to configure your inference engine. It's not very accessible. More work needs to be done on making this seamless, so the user doesn't even know the AI is running locally.

Alex Cheema

29,751 просмотров • 7 дней назад

I think I discovered the cheapest way to code with AI 😁 I tried GLM 4.5 on Claude Code and I'm really amazed how good this model is! I usually test with my nextjs crm app benchmark so I asked it to do that. Prompt "create a nextjs app which is a crm app. use sqlite for the database and use api routes to manage connecting to the database from the frontend" My observations - Generation feels like Sonnet 4 intelligence - Speed is great - It used create-next-app so it bootstrapped nextjs v15.5.2 - It created a sqlite database and used Prisma ORM and helped me easily add seed data - I needed a few prompts to iron out minor issues but all's good. It didn't struggle or got stuck. - Spent $0.50 for this app. Could be way cheaper with the Z.ai sub plans After trying, I can say GLM 4.5 model is up there as the best open source model for coding. Will continue using it and update here. So far so good! P.S. DM me if you want my referral link, otherwise just check Not dropping the link here so it doesn’t look like I’m hyping it. Here's a video of the experience 👇(sped up a bit)
0:38

I think I discovered the cheapest way to code with AI 😁 I tried GLM 4.5 on Claude Code and I'm really amazed how good this model is! I usually test with my nextjs crm app benchmark so I asked it to do that. Prompt "create a nextjs app which is a crm app. use sqlite for the database and use api routes to manage connecting to the database from the frontend" My observations - Generation feels like Sonnet 4 intelligence - Speed is great - It used create-next-app so it bootstrapped nextjs v15.5.2 - It created a sqlite database and used Prisma ORM and helped me easily add seed data - I needed a few prompts to iron out minor issues but all's good. It didn't struggle or got stuck. - Spent $0.50 for this app. Could be way cheaper with the Z.ai sub plans After trying, I can say GLM 4.5 model is up there as the best open source model for coding. Will continue using it and update here. So far so good! P.S. DM me if you want my referral link, otherwise just check Not dropping the link here so it doesn’t look like I’m hyping it. Here's a video of the experience 👇(sped up a bit)

Melvin Vivas

45,749 просмотров • 10 месяцев назад

So helped me to unlock the voice now it works! It's trained on my Lex Fridman podcast It's 99% perfect but the training data apparently still has some Lex "hummm" sounds in it that sometimes show up I think they call this "crosstalk" and it's hard to remove with AI so I think there's no other choice than to listen to the 1 hour of training data and remove those bits and re-train But then we have a good AI model to turn my book MAKE into an audio book without having to read it for hours/days/weeks
1:23

So helped me to unlock the voice now it works! It's trained on my Lex Fridman podcast It's 99% perfect but the training data apparently still has some Lex "hummm" sounds in it that sometimes show up I think they call this "crosstalk" and it's hard to remove with AI so I think there's no other choice than to listen to the 1 hour of training data and remove those bits and re-train But then we have a good AI model to turn my book MAKE into an audio book without having to read it for hours/days/weeks

@levelsio

169,759 просмотров • 1 год назад

YouTube and Bugbounties have changed my life (and others) in so many ways. I had been in IT for a long time but I had no idea “how to hack web”. So one day in 2017 I decided I was willing to share my curiosity and journey into a new field on YouTube. This has enabled me over the years to connected with amazing people, presented new opportunities, leveled up my creativity and deepened my understanding around business / monetization, put me on world stages and opened doors i never thought existed. sure it came with some hate and bullying but that’s also something that one learns to live and deal with. For me the sharing as I learned was a part of the journey, that also help me build my own brand. Sure you are not everyone’s favorite dish, some like chocolate others like salmiakki. But It blows my mind that we live in a time when you can learn a skill for free using a video platform, find bugs in apps, report it, sometimes get paid, and use that experience to build a career.
2:03

YouTube and Bugbounties have changed my life (and others) in so many ways. I had been in IT for a long time but I had no idea “how to hack web”. So one day in 2017 I decided I was willing to share my curiosity and journey into a new field on YouTube. This has enabled me over the years to connected with amazing people, presented new opportunities, leveled up my creativity and deepened my understanding around business / monetization, put me on world stages and opened doors i never thought existed. sure it came with some hate and bullying but that’s also something that one learns to live and deal with. For me the sharing as I learned was a part of the journey, that also help me build my own brand. Sure you are not everyone’s favorite dish, some like chocolate others like salmiakki. But It blows my mind that we live in a time when you can learn a skill for free using a video platform, find bugs in apps, report it, sometimes get paid, and use that experience to build a career.

STÖK ✌️

37,271 просмотров • 1 год назад

✨ Making this now in the evening cause I have some time now I asked Cursor to one-shot a plane/vehicle selector, it took some tweaks from me to get it right, like make the buttons and styles look somewhat consistent I realize AI loves to just use inline CSS for everything but that gets hard to maintain, so I clean it up manually myself now and put in tags Planes I want to add and requested by people here: - Helicopters - A-10 Warthog (with that crazy sound too so other ppl can hear it and get scared) - Speedboat with guns - Hovercraft with guns And if we add a price to them maybe some ppl will buy them and it will be a good business model Then later add/sell skins for the vehicles Also tanks etc shouldn't spawn on the aircraft carrier of course :D
0:20

✨ Making this now in the evening cause I have some time now I asked Cursor to one-shot a plane/vehicle selector, it took some tweaks from me to get it right, like make the buttons and styles look somewhat consistent I realize AI loves to just use inline CSS for everything but that gets hard to maintain, so I clean it up manually myself now and put in tags Planes I want to add and requested by people here: - Helicopters - A-10 Warthog (with that crazy sound too so other ppl can hear it and get scared) - Speedboat with guns - Hovercraft with guns And if we add a price to them maybe some ppl will buy them and it will be a good business model Then later add/sell skins for the vehicles Also tanks etc shouldn't spawn on the aircraft carrier of course :D

@levelsio

219,084 просмотров • 1 год назад

#Loverrukk shared her day off plans for this weekend 🍵🥗💪🏻💤 💖: I woke up this morning feeling really happy. I made some matcha, went to Pilates, then came back and had somtam (papaya salad). After that i sat for a bit to digest… then took a nap. I slept in the afternoon, woke up and practiced playing mlbb game for a while. After that i had dinner, sat around to digest again 😹 then took another nap in the evening. And now i’m not sleepy anymore… i wonder what time i’ll end up going to sleep. 💖: For tomorrow, i’m planning to wake up late, but i’ll probably wake up about half an hour before my alarm like usual. For example, if i set it for 9, I’ll wake up at 8:30 on my own. It just happens. Tmr is my day off too. i’ll wake up, make matcha, and order some bread, ham, rocket salad, Greek yogurt, and jam to make breakfast. I’ll also add some protein with scrambled eggs, 2 eggs with chili oil. That’ll be my breakfast. I’m happy~😸
1:24

#Loverrukk shared her day off plans for this weekend 🍵🥗💪🏻💤 💖: I woke up this morning feeling really happy. I made some matcha, went to Pilates, then came back and had somtam (papaya salad). After that i sat for a bit to digest… then took a nap. I slept in the afternoon, woke up and practiced playing mlbb game for a while. After that i had dinner, sat around to digest again 😹 then took another nap in the evening. And now i’m not sleepy anymore… i wonder what time i’ll end up going to sleep. 💖: For tomorrow, i’m planning to wake up late, but i’ll probably wake up about half an hour before my alarm like usual. For example, if i set it for 9, I’ll wake up at 8:30 on my own. It just happens. Tmr is my day off too. i’ll wake up, make matcha, and order some bread, ham, rocket salad, Greek yogurt, and jam to make breakfast. I’ll also add some protein with scrambled eggs, 2 eggs with chili oil. That’ll be my breakfast. I’m happy~😸

sᴀᴘᴘʜᴏʀɪᴀ #แม่น้องกอหญ้า🍷

30,618 просмотров • 3 месяцев назад

Tried to keep the waterworks in, couldn't help but tear up a bit in my goodbye on FOX 56 News (WDKY) tonight. 😂😢 So many thank you's to give out, which I've tried to do to everyone here this week. I just want to thank Lexington, an incredible place to have spent these last 4 years at. This town and state will always hold a special place in my heart. I've reminisced on the first era with Mitch B and Nicole Hutchison, now this era with Jordan Adams and Colby Wilson. Worked with so many great people here. Covered some awesome events and teams, worked with some great coaches like Steve Page and Justin Haddix just to name a couple. I love this job and it's the coaches, players and people who provide the stories for me to tell. I loved connecting with our viewers, and #BBN is a great fanbase too. Kentucky is a special place. I'll be back plenty of times. But now, it's time to chase some dreams.
1:36

Tried to keep the waterworks in, couldn't help but tear up a bit in my goodbye on FOX 56 News (WDKY) tonight. 😂😢 So many thank you's to give out, which I've tried to do to everyone here this week. I just want to thank Lexington, an incredible place to have spent these last 4 years at. This town and state will always hold a special place in my heart. I've reminisced on the first era with Mitch B and Nicole Hutchison, now this era with Jordan Adams and Colby Wilson. Worked with so many great people here. Covered some awesome events and teams, worked with some great coaches like Steve Page and Justin Haddix just to name a couple. I love this job and it's the coaches, players and people who provide the stories for me to tell. I loved connecting with our viewers, and #BBN is a great fanbase too. Kentucky is a special place. I'll be back plenty of times. But now, it's time to chase some dreams.

Michael Epps

11,992 просмотров • 11 месяцев назад

250915 WVS #HOSHI #호시 🌟 🐯: today i sent jihoonie off, then worked out, and also took a walk with latte, and then talked a bit with bumzu hyung on the terrace. then i came home but hadn’t eaten yet, but noona ordered nakgopsae so later i’m gonna eat nakgopsae with my mom and sister. 🐯: now i’ve finished up filming and i’m spending some time with my family. 🐯: to share a little tmi again, you know normally it’s five weeks of training for active duty. but for me and jihoonie, since it overlaps with chuseok, the longest chuseok holiday is 10 days, so we’re doing seven weeks ㅎㅎ 🐯: so i’ll train well during those seven weeks. everyone, please be healthy too. 🐯: you want me to show my hair? (shows hair) you probably saw it a lot already. (sigh) it feels like the shaved head actually suits me better than i thought.
2:01

250915 WVS #HOSHI #호시 🌟 🐯: today i sent jihoonie off, then worked out, and also took a walk with latte, and then talked a bit with bumzu hyung on the terrace. then i came home but hadn’t eaten yet, but noona ordered nakgopsae so later i’m gonna eat nakgopsae with my mom and sister. 🐯: now i’ve finished up filming and i’m spending some time with my family. 🐯: to share a little tmi again, you know normally it’s five weeks of training for active duty. but for me and jihoonie, since it overlaps with chuseok, the longest chuseok holiday is 10 days, so we’re doing seven weeks ㅎㅎ 🐯: so i’ll train well during those seven weeks. everyone, please be healthy too. 🐯: you want me to show my hair? (shows hair) you probably saw it a lot already. (sigh) it feels like the shaved head actually suits me better than i thought.

디 ૮₍ ˃⤙˂ ₎ა

88,239 просмотров • 10 месяцев назад

People made fun of Alex Finn for buying three Mac Studios to run AI at home. Then Fable got banned for a week, GLM 5.2 dropped, and those exact Mac Studios started reselling for 4x what he paid. He showed me how he built his home AI lab from scratch. Here's the playbook: 1) The hardware. three 512GB Mac Studios, an NVIDIA DGX Spark, a custom RTX 5090 build, and a few Mac Minis. ~$30k all in. 2) The buying framework... - Mac Studio: huge memory, runs GLM 5.2 (open weights, near Opus 4.8 on benchmarks), but slow. - DGX Spark ($4,800): the sweet spot for most people. - RTX 5090: smaller models at blazing speed (Qwen's 29B now hits Sonnet 4 level). 3) Tailscale networks every machine into one private network with root access to each other. Only one machine is plugged into a monitor. 4) A Nous Research Hermes agent is his IT guy. New model drops? It SSHs into the right box, loads 5 candidates, runs evals overnight, and reports back which task belongs on which machine. Alex has literally never loaded a model himself. 5) The whole point: achieving "ambient intelligence." Always-on jobs that would bankrupt you on per-token billing. A security sweep of his API endpoints every hour. Code optimization every 20 minutes. Database anomaly & churn detection. Hourly scraping of X, Reddit & Hacker News for business opportunities. 6) Running those workloads on frontier models would cost thousands a month. His actual cost: ~$60 more in electricity. 7) Btw he's not anti-frontier. He still maxes out his Claude plan. The way he sees it: frontier is for hard thinking, local is for the foot soldiers that never sleep. 8) "We own everything except for the intelligence. Why can't we own the intelligence?" 9) He thinks frontier-level intelligence runs on consumer hardware within 6 months.
36:48

People made fun of Alex Finn for buying three Mac Studios to run AI at home. Then Fable got banned for a week, GLM 5.2 dropped, and those exact Mac Studios started reselling for 4x what he paid. He showed me how he built his home AI lab from scratch. Here's the playbook: 1) The hardware. three 512GB Mac Studios, an NVIDIA DGX Spark, a custom RTX 5090 build, and a few Mac Minis. ~$30k all in. 2) The buying framework... - Mac Studio: huge memory, runs GLM 5.2 (open weights, near Opus 4.8 on benchmarks), but slow. - DGX Spark ($4,800): the sweet spot for most people. - RTX 5090: smaller models at blazing speed (Qwen's 29B now hits Sonnet 4 level). 3) Tailscale networks every machine into one private network with root access to each other. Only one machine is plugged into a monitor. 4) A Nous Research Hermes agent is his IT guy. New model drops? It SSHs into the right box, loads 5 candidates, runs evals overnight, and reports back which task belongs on which machine. Alex has literally never loaded a model himself. 5) The whole point: achieving "ambient intelligence." Always-on jobs that would bankrupt you on per-token billing. A security sweep of his API endpoints every hour. Code optimization every 20 minutes. Database anomaly & churn detection. Hourly scraping of X, Reddit & Hacker News for business opportunities. 6) Running those workloads on frontier models would cost thousands a month. His actual cost: ~$60 more in electricity. 7) Btw he's not anti-frontier. He still maxes out his Claude plan. The way he sees it: frontier is for hard thinking, local is for the foot soldiers that never sleep. 8) "We own everything except for the intelligence. Why can't we own the intelligence?" 9) He thinks frontier-level intelligence runs on consumer hardware within 6 months.

Alex Lieberman

56,647 просмотров • 8 дней назад

In a world of PPO everything for reinforcement learning, I've been tinkering with SAC for training a quadruped gait. This gait is trained purely on CPU (training on one of the Dell GB10s) on a single environment. Training any particular run is obviously slower than PPO on an RTX Pro 6000 with 8092 envs, if you already know the exact hyperparams/rwd function for your PPO algo... but, if we're honest with ourselves, then we know we usually spend days tuning our PPO algo and fighting it to do what we want. In contrast, SAC has kind of been a breath of fresh air, very amenable to changing the reward function to tune behavior. So far, my first attempts to tune things have consistently just worked immediately rather than 15 different variations of reward hacking only to find previous tuned behaviors got lost in the process. There is also FastSAC, which I've not yet tried, but can speed things up potentially and introduce scale back into the equation. My main painpoint in getting SAC to work for gait was actually getting it to learn to step. It seems as though SAC is not as good as PPO at significant exploration on its own. I ended up starting with a sinusoidal gait (basically just a rule to make legs swing) as training wheels then blended it out through training as phase 1, then began working on smoothing things out after this. I think if we look at end to end dev time rather than any particular run that finally managed to work, SAC may actually be the "faster" algorithm to train. Quadruped gaits are inherently easier than bipedal and maybe there are areas where SAC falls short, but I'll definitely be spending more time with SAC.
1:02

In a world of PPO everything for reinforcement learning, I've been tinkering with SAC for training a quadruped gait. This gait is trained purely on CPU (training on one of the Dell GB10s) on a single environment. Training any particular run is obviously slower than PPO on an RTX Pro 6000 with 8092 envs, if you already know the exact hyperparams/rwd function for your PPO algo... but, if we're honest with ourselves, then we know we usually spend days tuning our PPO algo and fighting it to do what we want. In contrast, SAC has kind of been a breath of fresh air, very amenable to changing the reward function to tune behavior. So far, my first attempts to tune things have consistently just worked immediately rather than 15 different variations of reward hacking only to find previous tuned behaviors got lost in the process. There is also FastSAC, which I've not yet tried, but can speed things up potentially and introduce scale back into the equation. My main painpoint in getting SAC to work for gait was actually getting it to learn to step. It seems as though SAC is not as good as PPO at significant exploration on its own. I ended up starting with a sinusoidal gait (basically just a rule to make legs swing) as training wheels then blended it out through training as phase 1, then began working on smoothing things out after this. I think if we look at end to end dev time rather than any particular run that finally managed to work, SAC may actually be the "faster" algorithm to train. Quadruped gaits are inherently easier than bipedal and maybe there are areas where SAC falls short, but I'll definitely be spending more time with SAC.

Harrison Kinsley

26,758 просмотров • 5 месяцев назад

Everyday Americans Are Using Their Helicopters To Bring Aid To Hurricane Helene Victims And the Kamala Harris Administration is threatening to arrest these people for trying to help their fellow Americans “I got a call from a friend up in North Carolina. His name's Rudy, and he said, "'Hey man, we need some helicopters up here. "'The hurricane damage is really bad, "'and there's a lot of people trapped in the mountains.'" So my wife and I got someone to watch the kids. We loaded up with one bag and flew to North Carolina with no plans and posted that we were on our way.” “By the end of day two, there was 37 helicopters, private helicopters on site at Hickory Airport helping out.” “Some of my friends brought in some sick helicopters. A lot of these guys just did an amazing job”
7:03

Everyday Americans Are Using Their Helicopters To Bring Aid To Hurricane Helene Victims And the Kamala Harris Administration is threatening to arrest these people for trying to help their fellow Americans “I got a call from a friend up in North Carolina. His name's Rudy, and he said, "'Hey man, we need some helicopters up here. "'The hurricane damage is really bad, "'and there's a lot of people trapped in the mountains.'" So my wife and I got someone to watch the kids. We loaded up with one bag and flew to North Carolina with no plans and posted that we were on our way.” “By the end of day two, there was 37 helicopters, private helicopters on site at Hickory Airport helping out.” “Some of my friends brought in some sick helicopters. A lot of these guys just did an amazing job”

Wall Street Apes

1,162,298 просмотров • 1 год назад

Another quick lecture -- I've been asked many times for prereq's to my book and what you should know, so built a little lecture (with GLM 5.2) to cover some more basics. Topics include: 00:00 Introduction & Course Prerequisites 01:37 Language Models Overview 02:47 The LM Head 04:29 Softmax & Log-Probabilities 06:13 Anatomy of an LM Training Example 06:37 Computing LLM Probabilities (+Phoebe the Dog) 09:52 Three Common Masks in Post-Training 11:03 A Small Decoding Review 12:14 Training an LM: Cross-Entropy 13:23 Optimization & Fine-Tuning 13:55 Pretraining to Midtraining to SFT Pipeline 15:25 Probability Essentials: KL Divergence & Entropy 19:36 Sigmoid & Pairwise Likelihood 20:29 Reinforcement Learning Framing (MDP) 22:28 Transitioning Tools into Post-Training 23:12 Recommended Resources & Wrap-Up  Happy learning and I'm still taking questions from during the course for Q&A videos.
23:52

Another quick lecture -- I've been asked many times for prereq's to my book and what you should know, so built a little lecture (with GLM 5.2) to cover some more basics. Topics include: 00:00 Introduction & Course Prerequisites 01:37 Language Models Overview 02:47 The LM Head 04:29 Softmax & Log-Probabilities 06:13 Anatomy of an LM Training Example 06:37 Computing LLM Probabilities (+Phoebe the Dog) 09:52 Three Common Masks in Post-Training 11:03 A Small Decoding Review 12:14 Training an LM: Cross-Entropy 13:23 Optimization & Fine-Tuning 13:55 Pretraining to Midtraining to SFT Pipeline 15:25 Probability Essentials: KL Divergence & Entropy 19:36 Sigmoid & Pairwise Likelihood 20:29 Reinforcement Learning Framing (MDP) 22:28 Transitioning Tools into Post-Training 23:12 Recommended Resources & Wrap-Up  Happy learning and I'm still taking questions from during the course for Q&A videos.

Nathan Lambert

50,424 просмотров • 22 дней назад

We’ve been hit with a winter storm here in Alabama—some are calling it an ice storm, and that’s pretty accurate for my area. Not much snow yet, but plenty of ice, rain, and sleet. Today I’m out spreading ice melt on driveways, sidewalks, and ramps for some of the elderly, disabled, single parents, and veterans we serve locally. I’m currently at Mr. Wayne’s house in this video, putting ice melt down on his ramp, he had some ice on it . It will get worst later A few days ago, I picked up some ice melt and a spreader to help with situations like this—so this is actually my first time using it. Just doing what we can to keep our neighbors safe during this weather.
2:20

We’ve been hit with a winter storm here in Alabama—some are calling it an ice storm, and that’s pretty accurate for my area. Not much snow yet, but plenty of ice, rain, and sleet. Today I’m out spreading ice melt on driveways, sidewalks, and ramps for some of the elderly, disabled, single parents, and veterans we serve locally. I’m currently at Mr. Wayne’s house in this video, putting ice melt down on his ramp, he had some ice on it . It will get worst later A few days ago, I picked up some ice melt and a spreader to help with situations like this—so this is actually my first time using it. Just doing what we can to keep our neighbors safe during this weather.

Rodney Smith Jr

188,795 просмотров • 5 месяцев назад

We’re showing you how to take the stress out of Christmas this year, and of course, we need to ‘talk Turkey’ 🦃 Aldi Ireland has the answer with the Turkey Parcel, all the hard stuff is taken care of, and all you need to do is add some optional flair and pop it in the oven. It’s easy peasy and leaves you plenty of time to sip on some bubbles, like the Aldi Prosecco Frizzante DOC, for an unbeatable price of €6.21. @hollydaltonchef hopped into the kitchen to show how she makes the Turkey Parcel her own with a few simple hacks to kick it up a notch. You can pick up a Turkey Parcel in your local ALDI from Friday December 20th. #AD
1:13

We’re showing you how to take the stress out of Christmas this year, and of course, we need to ‘talk Turkey’ 🦃 Aldi Ireland has the answer with the Turkey Parcel, all the hard stuff is taken care of, and all you need to do is add some optional flair and pop it in the oven. It’s easy peasy and leaves you plenty of time to sip on some bubbles, like the Aldi Prosecco Frizzante DOC, for an unbeatable price of €6.21. @hollydaltonchef hopped into the kitchen to show how she makes the Turkey Parcel her own with a few simple hacks to kick it up a notch. You can pick up a Turkey Parcel in your local ALDI from Friday December 20th. #AD

Char Food & Drink

168,298 просмотров • 1 год назад

Well we had our concrete poured this past week, to say I’m not happy with it would be an understatement. We took a chance on someone who was starting their own business and unfortunately it bit us in the butt. Some positive take aways (trying to look at it optimistically) we now have a hard surface In front of our house to keep the mud and dirt at bay. The store has a solid surface with a drain that is usable. I politely gave my opinion of the situation and canceled him for the rest of the creamery concrete. Can’t get hung up on the little things, just need to learn and carry on. Here’s to finishing the rest of the creamery 🥂
0:26

Well we had our concrete poured this past week, to say I’m not happy with it would be an understatement. We took a chance on someone who was starting their own business and unfortunately it bit us in the butt. Some positive take aways (trying to look at it optimistically) we now have a hard surface In front of our house to keep the mud and dirt at bay. The store has a solid surface with a drain that is usable. I politely gave my opinion of the situation and canceled him for the rest of the creamery concrete. Can’t get hung up on the little things, just need to learn and carry on. Here’s to finishing the rest of the creamery 🥂

Wild Welling’s Homestead

515,155 просмотров • 1 месяц назад

One thing I've had a hard time understanding is how and why so many people on the left have gone from respecting Elon Musk to seemingly hating him over the course of just 2 years. Hear me out please and provide your thoughts below... Musk definitely has some conservative views, and he most definitely has said some controversial and inappropriate things, but we must remember that Elon is also a huge proponent of what many Democrats have been pushing so hard for when it comes to climate change and the environment (example: see clip from a TED interview below). Tesla and Space X have so much potential for the planet and for humanity, as do Elon's concerns and visions of the future. Elon has his own beliefs, just like we all do. And just like I disagree whole-heartedly with so many opinions that my Republican friends' have, that doesn't mean I can't be friends with them and I can't share my thoughts with them. When we work together on finding common ground, and on discussing opinions and facts, that's when we as a people make progress. Isn't that what most of those on the left want? This doesn't mean we should stop calling out misinformation or begin accepting conspiracy theories as facts. It merely means working with humanity to make the human experience better and freer for us all.
0:53

One thing I've had a hard time understanding is how and why so many people on the left have gone from respecting Elon Musk to seemingly hating him over the course of just 2 years. Hear me out please and provide your thoughts below... Musk definitely has some conservative views, and he most definitely has said some controversial and inappropriate things, but we must remember that Elon is also a huge proponent of what many Democrats have been pushing so hard for when it comes to climate change and the environment (example: see clip from a TED interview below). Tesla and Space X have so much potential for the planet and for humanity, as do Elon's concerns and visions of the future. Elon has his own beliefs, just like we all do. And just like I disagree whole-heartedly with so many opinions that my Republican friends' have, that doesn't mean I can't be friends with them and I can't share my thoughts with them. When we work together on finding common ground, and on discussing opinions and facts, that's when we as a people make progress. Isn't that what most of those on the left want? This doesn't mean we should stop calling out misinformation or begin accepting conspiracy theories as facts. It merely means working with humanity to make the human experience better and freer for us all.

Ed Krassenstein

10,041,572 просмотров • 3 лет назад

The DeepSeek-R1 paper is a gem! Highly encourage everyone to read it. It's clear that LLM reasoning capabilities can be learned in different ways. RL, if applied correctly and at scale, can lead to some really powerful and interesting scaling and emergent properties. There is more to RL than meets the eye! Here is my breakdown of the paper along with a few tests: The multi-state training might not make sense initially but they provide clues on optimizations that we can continue to tap into. Data quality is still very important for enhancing the usability of the LLM. Unlike other reasoning LLMs, DeepSeek-R1's training recipe and weights are open so we can build on top of it. This opens up exciting research opportunities. About the attached clip: the previous preview model wasn't able to solve this task. DeepSeek-R1 can solve this and many other tasks that o1 can solve. It's a very good model for coding and math.
1:57

The DeepSeek-R1 paper is a gem! Highly encourage everyone to read it. It's clear that LLM reasoning capabilities can be learned in different ways. RL, if applied correctly and at scale, can lead to some really powerful and interesting scaling and emergent properties. There is more to RL than meets the eye! Here is my breakdown of the paper along with a few tests: The multi-state training might not make sense initially but they provide clues on optimizations that we can continue to tap into. Data quality is still very important for enhancing the usability of the LLM. Unlike other reasoning LLMs, DeepSeek-R1's training recipe and weights are open so we can build on top of it. This opens up exciting research opportunities. About the attached clip: the previous preview model wasn't able to solve this task. DeepSeek-R1 can solve this and many other tasks that o1 can solve. It's a very good model for coding and math.

elvis

140,692 просмотров • 1 год назад

American in Illinois explains what it was like leaving the Democrat Party “Explaining to my family and friends that I could not, for the life of me again, vote for a Democratic Party again was probably one of the toughest things I ever had to do. And once I made that statement publicly, like on social media and stuff like that, that's when all hell broke loose — I began to lose clients from my business. I had people calling me up talking about, they can't work with somebody who would vote for a racist or a Nazi. — This is real. But it became a matter of my morals, my values, and what I truly wanted to teach my kids. Like, yes, yes. — So business started failing. Friends who I thought were friends, family members stopped talking to me, started talking about me, and then we started having the problem. I put a Trump sticker on my car. What the hell did I do that for? In the middle of the hood with a Trump sticker — That was brave. But I did it because I gave no f*cks because I know how to fight. And surprisingly for me, more people were interested in my decision why than it was people angry with my decision why. And I began to have the opportunity to explain to people why I was making the decision that I was making and even more surprisingly, it made sense to them too.”
2:38

American in Illinois explains what it was like leaving the Democrat Party “Explaining to my family and friends that I could not, for the life of me again, vote for a Democratic Party again was probably one of the toughest things I ever had to do. And once I made that statement publicly, like on social media and stuff like that, that's when all hell broke loose — I began to lose clients from my business. I had people calling me up talking about, they can't work with somebody who would vote for a racist or a Nazi. — This is real. But it became a matter of my morals, my values, and what I truly wanted to teach my kids. Like, yes, yes. — So business started failing. Friends who I thought were friends, family members stopped talking to me, started talking about me, and then we started having the problem. I put a Trump sticker on my car. What the hell did I do that for? In the middle of the hood with a Trump sticker — That was brave. But I did it because I gave no f*cks because I know how to fight. And surprisingly for me, more people were interested in my decision why than it was people angry with my decision why. And I began to have the opportunity to explain to people why I was making the decision that I was making and even more surprisingly, it made sense to them too.”

Wall Street Apes

228,031 просмотров • 5 месяцев назад