Dustin Schimp

@shiri_shh slap AI on it get huge valuation

Farmer pays $5–$8 per cow per month. A New Zealand company puts a solar-powered smart collar on cows. It tracks location 24/7, health, temperature, chewing activity, breeding. Farmer just opens a simple app and draws a line on the map. That line becomes the fence. As cows approach the boundary, the collar beeps and vibrates. With one tap, the whole herd moves to fresh grass or the milking shed. No physical fences. Less labor. Huge cost savings for farmer. Already on 700k cows across New Zealand, Australia, and the US. and now in talks to raise at a $2B valuation led by Peter Thiel.

In 72 hours I got over 100k of value 1. Lambda gave me 5000$ credits in compute 2. Nvidia offered me 8x H100s on the cloud (20$/h) idk for how long but assuming 2 weeks that'd be 5000$~ 3. TNG technology offered me 2 weeks of B200s which is something like 12000$ in compute 4. A kind person offered me 100k in GCP credits (enough to train a 27B if you do it right) 5. Framework offered to mail me a desktop computer 6. We got 14,000$ in donations which will go to buying 2x RTX Pro 6000s (bringing me up to 384GB VRAM) 7. I got over 6M impressions which based on my RPM would be 1500$ over my 500$~ usual per pay period 8. I have gained 17,000~ followers, over doubling my follower count 9. 17 subscribers on X + 700 on youtube. The total value of all this approaches at minimum 50,000$~ and closer to 150,000$ if I leverage it all. --------------------- What I'll be doing with all this: Eric is an incredibly driven researcher I have been bouncing ideas off of over the last month. Him and I have been tackling the idea of getting massive models to fit on relatively cheap memory. The idea is taking advantage of different forms of memory, in combination with expert saliency scoring, to offload specific expert groupings to different memory tiers. For the MoEs I've tested over my entire AI session history about 37.5% of the model is responsible for 95% of token routing. So we can offload 62.5% of an LLM onto SSD/NVMe/CPU/Cheap VRAM this should theoretically result in minimal latency added if we can select the right experts. We can combine this with paged swapping to further accelerate the prompt processing, if done right we are looking at very very decent performance for massive unquantisation & unpruned LLMs. You can get DeepSeek-v3.2-speciale at full intelligence with decent tokens/s as long as you have enough vram to host the core 20-40% of the model and enough ram or SSD to host the rest. Add quantisation to the mix and you can basically have decent speeds and intelligence with just 5-10% of the model's size in vram (+ you need some for context) The funds will be used to push this to it's limits. ----------------- There's also tons of research that you can quantise a model drastically, then distill from the original BF16 or make a LoRA to align it back to the original mostly. This will be added to the pipeline too. ------------------ All this will be built out here: github.com/0xSero/moe-com… you will be able to take any MoE and shove it in here, and with only 24GB and enough RAM/NVMe to compress it down. it'll be slow as hell but it will work with little tinkering. ------------------ Lastly I will be looking into either a full training run from scratch -> or just post-training on an open AMERICAN base model - a research model - an openclaw/nanoclaw/hermes model - a browser-use model To prove that this can be done. -------------------- I will be bad at all of it, and doubt I will get beyond the best small models from 6 months ago, but I want to prove it's no boogeyman impossible task to everyone who says otherwise. -------------------- By the end of the year: 1. I will have 1 model I trained in some capacity be on the top 5 at either pinchbench, browseruse, or research. 2. My github will have a master repo which combines all my work into reusable generalised scripts to help you do that same. 3. The largest public comparative dataset for all MoE quantisations, prunes, benchmarks, costs, hardware requirements. -------------------------- A lot of this will be lead by Eric, who I will tag in the next post. I want to say thank you to everyone who has supported me, I have gotten a lot of comments stating: 1. I'm crazy, stupid, or both 2. I'm wasting my time, no one cares about this 3. This is not a real issue I believe the amount of interest and support I've received says it all. donate.sybilsolutions.ai

@mcuban @nextbrickx 1:1 right ignore Elon and chamath?

@nextbrickx It replaced the person who wouldn’t or couldn’t use it.

I’m going to tell you how much worse it was at the start of the PC Revolution for white collar workers trying to adapt, vs today with AI Today, presumably every white collar worker has access to a smart phone and/or a PC/laptop. Back then, a PC cost $4,995 , an off brand was $3,995. 5k in 1984 is about $16k today. It was really expensive. The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead. Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words “I’m a novice with zero computer background, teach me how to create an agent that reads my email and …” That concept applies to LEARNING ANYTHING Think about what this means. Any employee of any company can say “ I need to learn how to xyz for my job , which is to do the following: Tell me what more information do you need to help me be more efficient, productive and promotable”. Or “ what new skills can you teach me that will help me reduce my chances of getting laid off “. Or “what suggestions do you have for me to communicate to my boss, who I barely know, to help my chances of staying employed “ These aren’t great prompts. But they are a start that anyone can take. Think about how incredible that is. Back in the day was so much harder for white collar workers. It was harder for new grads because unless they took comp sci, they probably had never used a PC. Big Companies are going to cut jobs. No question about it. Small companies is are going to need more and more AI literate thinkers who can help them compete or get an edge What I tell every entrepreneur, and it’s more crucial today. “ when you run with the elephants there are the quick and the dead. Adopt tech quickly , you can out maneuver big companies. “

@sudoingX model then frontier level quant reasoning accuracy

you have a GPU. you want to run a local model. what's the first thing you search for?

@TheZachMueller what quant gauntlet

Considering the current pinch-bench results, I kind of want to run a quant gauntlet with a few of these top models to see the usefulness drop off etc. Would folks be interested in that?

@Ford_Nick TENDERLOIN all day every day

Name one thing better than a ribeye..

@SahilBloom may buy some to compare to known quality - just to scratch the itch

Grass-fed tallow is a skin cheat code: - Rich in vitamins A, D, E, and K - Skin-compatible lipids - Deeply nourishing - Restores skin barrier Wild Roman Face Moisturizer is the best one you'll use: - Non-greasy finish - Smells incredible Order here: wildroman.com/products/face-…

@chamath most can't face fact, or truth to be ignorant to corruption is ignore to The Way of Life

We all know what some feel uncomfortable saying: Most taxes are WASTED. They are leaked and grifted into all kinds of programs that sound good on the surface. But that’s the lie that is told so politicians can take more of your earnings and dole it out to win votes and stay in power. But it also turns out that people aren’t stupid and know the game. So the states that admit this by breaking away from the hamster wheel of increased taxation are winning. While those who continue to try and sell the lie are losing. At the limit, those losing states are leaking so much revenue that they will eventually lose so much tax revenue as to be effectively insolvent. Remember this data is just from 2023…we are in mid 2026 so another two years of this trend is already in the books.

@Camp4 sure wish it would be licensed out also curious what road blocks he hits installing electric - wonder if politics block it like us with natural gas installations (IP we own)

We did a family road trip to Taos this week. 5 hours each way. Our Model Y did 100% of the driving. Zero interventions. One 12-min stop each way to charge during a bathroom break. Two 25-min charges in Taos while shopping. $57 total. Three things: 1) Most people don’t know that self-driving is solved. It’s mind-blowing and alleviates a surprising amount of mental load. When the supervision requirement is removed, it will be an even bigger game-changer. 2) Once you drive a Tesla, all other cars feel like relics from a bygone era. There are lots of subtle features that you don’t notice until you drive a regular car again. 3) Tesla is light years ahead of all other automakers and that gap will only grow because no other car company can design from first principles.

@johnloeber you lost me at GOOD soc

ironically, this is the kind of thing a good SOC-2 audit should’ve caught

@njcve_ this is most talking about AI in a nutshell - hot air and little else

There was 700 reports between 2 of my submissions, just 4 hours apart on hackerone. This isn't sustainable.

@jamesisherwell @WallStreetApes @ShakeyMc

@WallStreetApes @ShakeyMc How come the IRS can see who sent me $600 but nobody can figure out how Onar became a millionaire?

This is absolutely insane Journalist Angela Rose investigates Minnesota Rep Ilhan Omar’s consulting headquarters who claims to manage $60 billion in assets She goes into the building, walks every floor They DO NOT EXIST. (Holy Sh*t) “We are going to be infiltrating Ilhan Omar's sketchy consulting headquarters that claims that they have $60 billion in assets under their management. Yet they are located out of a co-working place called WeWork. This company is called Rose Lake Capital and it is co-owned by Ilhan Omar's husband Timothy Manette. And similar to the winery in 2023, it made up to $51,000 and it had a sudden and very suspicious increase in net worth up to $30 million in 2024” “I walked by every single office in this building and everyone has their logos proudly displayed on the wall. I asked around for Rose Lake Capital and people were not familiar with it. I looked at every logo and Rose Lake Capital did not have an office here.”

Most CEOs have no idea what’s really going on

@aakashgupta cut your nose spit your face

Let me explain exactly why every new subdivision in America looks like the top photo, because the math is wild. A mature tree increases a home's value by 7 to 19 percent. On a $400,000 house, that's $28,000 to $76,000. A single shade tree produces the cooling equivalent of ten room-size air conditioners running 20 hours a day. One tree on the west side of a house cuts energy bills by 12 percent within 15 years. The bottom photo is worth more, costs less to live in, and sells faster. This has been documented by the University of Washington, Clemson, Michigan State, and the USDA. The data is not in dispute. Removing those trees saves the builder roughly $5,000 per lot. Concrete trucks need twice the dripline radius of every standing tree. Utility trenches need flat ground. A bulldozer flattens 200 lots in an afternoon. Preserving trees adds weeks and thousands per home. So the developer pockets $5,000 in savings and the buyer eats $50,000 in lost value for the next two decades. The person making the decision and the person paying for it have never been in the same room. The Woodlands, Texas is the proof of what happens when they are. George Mitchell bought 28,000 acres of Houston timberland in 1974 and preserved 28% as permanent green space. He forced McDonald's to build behind the tree canopy. That McDonald's became one of the highest-volume locations in Texas. The first office building, designed to reflect the surrounding forest so you couldn't see it from the street, leased completely. The Woodlands median home price today: $615,000. Katy, a comparable Houston suburb that clear-cut: $375,000. Named #1 community to live in America two years running. Fifty years of data. The trees are worth more than removing them saves. Developers clear-cut anyway because they sell the house once and leave. You live in it for 30 years.

@grhdhp @lporiginalg

@lporiginalg This is even better Grok:

This is fine.

@unusual_whales how to destroy businesses, all fun until the mfg you depend upon [Bezos et al] is impacted quality already lacking post pandemic..

BREAKING: Jeff Bezos is reportedly in talks to raise $100B for a new fund aimed at acquiring manufacturing firms and automating them with AI, per WSJ.

Years ago, during a quarterly earnings call for Amazon, an analyst complimented Jeff Bezos on strong results. 💪 Bezos’ response was an epic flex: “Thank you, but that quarter was baked three years ago. Right now I’m working on a quarter that’s three years away.” Here’s the point: Amateurs are reactive—scrambling to produce results at the last minute. It leads to inconsistency. It's how most people and most companies operate. Pros are proactive—planting seeds far in advance that make results inevitable. As my high school tennis coach used to say: “We win trophies in practice—we only go to tournaments to collect them.” What are you doing today that will pay off three years from now?

@BugsHarriman @AbudBakri peptides and stem cells are big in skincare, Vitamins to Copper etc I tried to get my biochem friend to do a skincare and makeup line with my skincare clinic mother decades ago - sadly they never bought in on the cash cow

@AbudBakri My wife uses a medspa that prescribes her GHKcu with Epitalon. Feel like that makes sense. Cleared up hormonal acne in 10 days, maybe less

Twitter is early as always but… Loren Pickart has been screaming this for 40 years It’s crazy that many times your work doesn’t get appreciated until after your death Khavinson, Pickart. Even Peat is going more mainstream postmortem

@DannyMagazu sometimes founders also need moved around to find best fit for value - may require a few moves to see my experience with a $200M brand

@Dustin_Schimp what do you mean?

The best thing you can do for your company is to constantly cycle out people who are not a cultural fit or underperforming. This does a couple of things: 1. This keeps your A players happy because they're working with really good people. 2. This creates an environment where mediocrity is not okay. My company is growing really rapidly, and we probably let go of just as many people as we hire, constantly improving our team. I I think a lot of people underestimate how much time you should put into making a really strong team. It's not easy to manage a company of 50 people if not all 50 people are good. They don't all have to be great, but if they're not at least good, it's really tough to grow when you have people who aren't contributing, and communication is off. You always have to be constantly cycling people out. Look through your team today and really decide who's making an impact and who's not. Firing used to be hard for us, and the moment we decided this wasn't going to be something we put up with anymore, we experienced real scale. That's my hiring piece of advice for the day. I would love to hear how you guys tackle this and how you view team building.

"yesterday I was engineer, today I are one"

Simon ( @simonw)'s new agentic Engineering patterns guide is crazy useful - but it also raises the question, before it confuses us all - is Agentic Engineering engineering with agents, or engineering agents? If I said Hammer Engineering, would that mean engineering with hammers or engineering hammers?