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Ahmad

@TheAhmadOsman80k followers

Founder and CEO, @OsmanticAI — Accelerating Local AI Adoption • I moderate GPUs on r/LocalLLaMA

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1Sep 8, '25My house has 33 GPUs. > 21x RTX 3090s > 4x RTX 4090s > 4x RTX 5090s > 4x Tenstorrent Blackhole p150a Before AGI arrives: Acquire GPUs. Go into debt if you must. But wha157×2.2M4.8k2412k
2Sep 13, '25> be me > Larry Ellison > own a database empire, a sailboat, and a disdain for poor people > OpenAI wants to build AGI > needs compute > *a lot* of compute > like “$300B GPU cluste126×1.7M21k1.7k7.1k
3Oct 22, '25> today this guy axes FAIR at Meta > so this is a quick recap of his origin story > and why he should not be the one > making that decision > Alexandr Wang, born January 1997 > age110×1.5M3.3k2251.4k
4Dec 19, '24LocalLLaMA Home Server Final Boss 😎108×1.5M1.5k78304
5Nov 1, '25everyone: - “just use the API” PewDiePie: - built a 10x GPU AI Server (8x modded 48GB 4090s, 2x RTX 4000 Ada) - runs opensourcemodels with vLLM for TP - vibe-coded his own Chat UI,106×1.5M22k1.1k3.4k
6Sep 7, '25there is a lot of MONEY in this add `/.json` at the end of any Reddit link > and get the entire thread > including all replies to the n-th depth > and all the metadata &gt77.6×1.1M10k46718k
7Sep 13, '25> be me > Alexandr Wang, born January 1997 > age 19, drop out of MIT > co-found Scale AI > "what if we label data, but mid?" > convince every LLM company that this is fine > 2016–277×1.1M7.9k4262.8k
8Apr 1, '25I just upgraded the memory modules on my RTX 3090s to 192GB I now have 14 RTX 3090s with 192GB of VRAM each 2688GB of VRAM in total, thank you DeepSeek, thank you China WE'RE SO BA60×826k4.9k2881.7k
9Jun 6, '25Claude Code is so good at night/early morning before they start serving it quantized at 1.58-bit for the masses 🤡52.1×718k3.9k88774
10Mar 27, '25mid journey fumbled so bad having no app and running off of discord as a wise man once told me: stop thinking like an engineer and start thinking like a lazy user49.3×679k12k6341.6k
11May 7, '25Stripe's specialized transformers-based model for fraud detection increased detection rate from 59% to 97% Yes, you read it right 59% to 97% overnight48.2×663k2k91625
12Aug 18, '25My house has 27 GPUs. Before AGI arrives: Acquire GPUs. Go into debt if you must. But whatever you do, secure the GPUs.46.2×636k4.4k149993
13Sep 7, '25i did my part and cancelled my Claude subscription you should too, don't give that PoS company your money43.8×603k2.6k67775
14Apr 18, '25LMAO40.4×557k8.9k409763
15Aug 26, '25vibe coders, secure your systems with this tool in 1 easy step38.5×531k14k7031.4k
16Aug 29, '25some of anthropic rugpulls so far: > 5 years retention of all conversations and code, all data will be used for training > 1.58-bit quantized models during daytime > plus not getti34.8×479k2.6k126912
17Sep 26, '25vibe coders, secure your systems with this tool in 1 easy step33.7×464k8.6k3951k
18Oct 26, '25> youʼre OpenAI > hire a small army of ex-Meta ad and monetization people > a Slack channel just for ex-Facebook staff > brings in the full “targeted ads” playbook > launch a brows31.4×433k1.5k131650
19Sep 9, '25reminder to cancel your Claude subscription. why? > LYING and DENYING their models DEGRADED QUALITY, even their DevRel tried to gaslight me it in previous tweets of mine (he's nowh31.1×428k1.1k72274
20Oct 21, '25i will not be installing ChatGPT Atlas browser from OpenAI and neither should you30.6×422k2.4k118335
21Jun 22, '25any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom the elite don't want you to know this29.9×411k3.1k1121.9k
22Nov 5, '25vibe coders, secure your systems with this tool in 1 easy step27.2×375k1.6k67164
23Sep 29, '25>be roon >work at OpenAI >timeline losing its mind over short-form “brainrot” >tweet: “there is a moral panic around short form video content imo” >(plant the seed, act casual) >2 25.3×348k2.7k45468
24Sep 11, '25> be me > curious how X decides who goes viral and who gets shadowbanned into oblivion > read the source code. all of it. 400,000 lines > it's a mess. it's a masterpiece. it's a th24.7×340k3.7k2336.2k
25Sep 7, '25i cancelled my Claude subscription, and you should too. why? > 1.58-bit quantized models during daytime > plus not getting opus 4 in claude code > max plans limits cut in half 8 we24.6×339k1.2k54458
26Oct 17, '25NVIDIA is now bigger than all the banks in the US and Canada combined23.9×329k1.3k142184
27Oct 22, '25own your infra, the cloud is a HUGE scam22.5×310k5.2k248672
28Nov 8, '25i am now convinced that Google will get to AGI first22.4×308k1.1k67337
29Sep 14, '25the way Anthropic fumbled Claude Code will be remembered as one of the dumbest, most expensive misplays in AI tooling they had the golden goose now it's just a ghost remarkable21.6×298k1.8k42401
30Sep 4, '25Perplexity Pro 1 Year for free when you use PayPal then simply cancel the sub from PayPal link below21.2×292k1.8k691.5k
31Sep 19, '25- you are - a random CS grad with 0 clue how LLMs work - get tired of people gatekeeping with big words and tiny GPUs - decide to go full monk mode - 2 years later i can explain at18.9×260k3.1k2646k
32Sep 15, '25> be us > Larry & Sergey > at Stanford with a crawler and a dream > accidentally organize the entire internet > call it Google > build search, email, maps, docs, OS, phones, browse18.9×260k3.4k2621.2k
33Aug 17, '25any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom the elite don't want you to know this18.7×258k2.3k701.3k
34Aug 20, '25wanna see how i use local llms? a thread of blogposts where i go over: > my setup > how local llms actually work > why i use them & what i do with them18.5×255k1.4k1021.7k
35Oct 4, '25- you are - a random CS grad with 0 clue how LLMs work - get tired of people gatekeeping with big words and tiny GPUs - decide to go full monk mode - 2 years later i can explain at17.5×241k2.8k2315.4k
36Nov 12, '25calling it now, bookmark this for later: - opensource AI will win - AGI will run local, not on someone else’s server - the real ones are already learning how it works > be early17.2×237k2.8k2051.5k
37Sep 3, '25why don't i like ollama & what do i use on my AI server? a thread of blogposts where i go over: > my ai homelab setup > what are inference engines > how local llms act16.3×225k1.6k1212.3k
38Nov 12, '25this is a meme that YC paid $500k for how are liquidity providers not losing their shit when they see slop like this being funded?16.1×222k1.5k28187
39Sep 13, '25> be you > want to actually learn how LLMs work > sick of “just start with linear algebra and come back in 5 years” > decide to build my own roadmap > no fluff. no detours. no 200-16.1×222k3k2056.7k
40Sep 7, '25GLM 4.5 with Claude Code is the closest thing to Opus 4 > GLM 4.5 beats Opus 4 and Sonnet 4 in the Berkeley Function-Calling Benchmarks > GLM Coding Plans for Claude Code are15.7×216k906591.1k
41Nov 7, '25China saved opensource LLMs and not only that, it made the FRONTIER opensource between July 16th and today, these are the major releases: > Kimi-K2-Thinking (1T-A32B) > MiniMax M2 13.5×186k3.4k433859
42Oct 8, '25i built a simple tool that makes Claude Code work with any local LLM full demo: > vLLM serving GLM-4.5 Air on 4x RTX 3090s > Claude Code generating code + docs via my proxy &13.5×186k1.2k1061.2k
43Oct 13, '25> karpathy just released a new project > in it, and in under 8000 lines of code you get to: > train the tokenizer using a new rust implementation > pretrain a transformer llm on fi13.1×180k1.8k1181.6k
44Oct 15, '25guyyyyyyyyyyyyyyys karpathy is here we made it12.3×169k91814174
45Aug 1, '25GLM 4.5 > KIMI K2 > QWEN 3 235B NON-THINKING > Qwen 3 CODER 480B For Agentic coding tools GLM 4.5 with Claude Code is the closest thing to Opus 4 imo12.3×169k1.1k57693
46Sep 17, '25should i do this? it would be a big commitment on my end but if a big enough interest is there, i'll make it happen i need to GAUGE INTEREST, so replies/likes/engagement is much ap11.9×163k1.4k67232
47Oct 7, '25China saved opensource LLMs between July 16th and today, these are the major releases: > DeepSeek V3.2 > GLM-4.6 (335B-A32B) > Qwen3-VL-30B-A3B (Instruct & Thinking) > Qwen3-VL-23511.7×161k2.7k311768
48Sep 12, '25> be Chinese lab > post model called Qwen3-235B-A22B-Coder-Fast > trained on 100 trillion tokens of synthetic RLHF > open-weights, inference engine, 85-page tech report with detail11×151k2k1961k
49Sep 13, '25> be you > random CS grad with 0 clue how LLMs work > get tired of people gatekeeping with big words and tiny GPUs > decide to go full monk mode > 2 years later i can explain atten10.6×145k2.1k1583.7k
50Sep 16, '25> be Xerox > invented it all > got $1 million in Apple stock > entire company gone by 2000 > thanks for your service > be Steve Jobs > LSD still active > go to Xerox PARC > see a m10.1×139k2.7k164954
52Oct 7, '25do not use Ollama ggerganov wrote blazing-fast C++ inference (ggml, llama.cpp) then Ollama wrapped it in a bloated binary and is now somehow the face of local LLMs soaking up VC hy9.7×134k1.4k77716
53Sep 2, '25any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom key topics on how llms work: > tokenization and embeddings > positional embeddings 9.5×131k1.6k1163.3k
54Sep 16, '25i believe in you whale9.3×128k2.5k93102
55Sep 3, '25ollama alternatives > lmstudio > llama.cpp > exllamav2/v3 > vllm > sglang among many others like literally anything is better than ollama lmao9.2×126k94559802
56Oct 18, '25new favorite meme dropped will quote rt papers with it9.1×126k2.4k65388
57Oct 13, '25- be us - Larry & Sergey - at Stanford with a crawler and a dream - accidentally organize the entire internet - call it Google - build search, email, maps, docs, OS, phones, browse8.9×123k1.2k85496
58Apr 29, '25LOL Anthropic sent me a DMCA for my fork of anon-kode8.9×123k75721115
59Sep 11, '25> be Anthropic > building tools for Claude > want it to act like a 10x engineer with a nervous system made of JSON > realize agents are only as good as the tools you give them > de8.5×117k1.1k711.3k
60Oct 12, '25pro tip: tell codex-cli or claude code to generate relevant pre-commit hooks for your project8.0×110k91726927
61Apr 15, '25Microsoft just released the first natively trained 1-bit model: BitNet 2B. Trained on 4 Trillion tokens. Native 1.58-bit weights and 8-bit activations (W1.58A8). Performs very clos7.8×108k1.1k150603
62Sep 12, '25China saved opensource LLMs, some notable releases from July only > Kimi K2 > Qwen3 235B-A22B-2507 > Qwen3 Coder 480B-A35B > Qwen3 235B-A22B-Thinking-2507 > GLM-4.5 7.6×105k1.9k129370
63Sep 2, '25qwen 2.5 14B, for under $350 becomes SoTA BEATS > OpenAI DeepResearch > Claude Research MATCHES performance of > Gemini 2.5 Pro train your own DeepResearch model following7.3×101k87876968
64Aug 21, '25a new Agentic model that can run on a single consumer GPU at home: ByteDance Seed OSS 36B > very strong at coding > excellent at multi-turn tool calling & Agentic tasks > 500k cont7.2×99k9771021.2k
65Nov 4, '25MASSIVE llama cpp now now ships with a built-in web UI stop using ollama, there are no more excuses6.9×95k1.1k75623
66Oct 31, '25yesterday, Hugging Face dropped a 214-page MASTERCLASS on how to train LLMs > it’s called The Smol Training Playbook > and if want to learn how to train LLMs, > this GIFT is for yo6.6×90k1.2k1721.5k
67Sep 7, '25Comparing & Contrasting Recent LLMs Architecture > DeepSeek-V3/R1 > OLMo 2 > Gemma 3 > Mistral Small 3.1 > Llama 4 > Qwen3 (dense+MoE) > SmolLM3 > Kimi 6.2×86k965154980
68Sep 7, '25people are attacking me for suggesting GLM-4.5 because it's "Chinese" you know you can self-host, LIKE ME, and have NONE of your code shared with anyone whether American or Chinese5.9×81k83327205
69Sep 2, '25China saved opensource LLMs, some notable releases from July only > Kimi K2 > Qwen3 235B-A22B-2507 > Qwen3 Coder 480B-A35B > Qwen3 235B-A22B-Thinking-2507 > GLM-4.5 5.7×79k1k101247
70Nov 6, '25thank you Moonshot for releasing the best LLM in the world today as an opensource model & with permissive license people like Dario must be losing their minds right now lol5.5×76k99147121
71Sep 7, '25China saved opensource LLMs, some notable releases from July only > Kimi K2 > Qwen3 235B-A22B-2507 > Qwen3 Coder 480B-A35B > Qwen3 235B-A22B-Thinking-2507 > GLM-4.5 5.4×75k1.3k84317
72Oct 31, '25pewdiepie is fine-tuning llms now on youtube ❤️5.3×73k1.8k24153
73Sep 19, '25- you: - want to actually learn how LLMs work - sick of “just start with linear algebra and come back in 5 years” - decide to build my own roadmap - no fluff. no detours. no 200-ho4.8×67k791681.6k
74Aug 30, '25dense with insight what a remarkable technical blog post4.8×67k78648964
75Nov 4, '25- you are - a normal dev who’s heard “embeddings” and “RAG” 1000x - want to know what they actually are, how they plug into LLMs - suddenly: vectors are just coordinates for meanin4.8×65k802501.2k
76Oct 24, '25> be us > Larry & Sergey > a dorm in Stanford, caffeine shakes, wild ambition > slap together a janky web crawler > accidentally organize the entire internet > call it Google > bui4.7×64k68169278
77Sep 12, '25there is a lot of MONEY in this add `/.json` at the end of any Reddit link > and get the entire thread > including all replies to the n-th depth > and all the metadata &gt4.7×64k1k541.6k
78Oct 20, '25i believe in you whale4.5×62k8092545
79Oct 5, '25- local llms 101 - tired of guides that just tell you to run a script and call it a day? - want to actually know what your GPU is doing, not just trust a black box? - here's what r4.4×61k69382984
80Sep 11, '25vibe coders, secure your systems with this tool in 1 easy step4.4×60k1.4k54155
81Oct 14, '25hell no, i am not giving my ID to OpenAI lol this is just the beginning btw, censorship, ads, nerfed models, etc are all on the table once these companies win and that's why they C4.3×59k92285122
82Oct 13, '25- you are - a random CS grad with 0 clue how LLMs work - get tired of people gatekeeping with big words and tiny GPUs - decide to go full monk mode - 2 years later i can explain at4.2×58k865771.4k
84Sep 3, '25COMING SOON: The LLM GPU Build Guide > from 1x to 8x GPUs > inference, training, cpu offload, and rackmounts > budgets from $2K to $15K+ > full parts lists, tradeoffs, 4.2×58k72441487
85Oct 17, '25> in 2025, your focus SHOULD NOT be CUDA > the real bottlenecks are: > data, inference, evals, dataloaders, infra in general > want to get good? > mess with PyTorch 4.0×55k81250551
86Sep 14, '25China saved Opensource LLMs - some notable releases: September > Kimi K2 Instruct‑0905 > Qwen3 Next 80B‑A3B-Thinking > Qwen3 Next 80B‑A3B-Instruct > Ernie 4.5 FAMILY of MODELS Augu3.8×53k71586256
87Nov 12, '25last month, Karpathy dropped the ULTIMATE guide to speed-running your way into LLMs in this project, you’ll build all the essentials, all under 8k lines of code > train the tokeniz3.7×51k81067831
88Aug 20, '25maybe i should start a local llms/hardware community here on X if you'd like to be join, please like and reply to help me measure interest3.7×51k8179143
90Oct 7, '25- in 2025, your focus SHOULD NOT be CUDA - the real bottlenecks are: - data, inference, evals, dataloaders, infra in general - want to get good? - mess with PyTorch & JAX - stu3.4×47k80841617
91Sep 7, '25for loops are all you need btw3.3×46k8322485
92Oct 22, '25> be you > want to actually learn how LLMs work > sick of “just start with linear algebra and come back in 5 years” > decide to build my own roadmap > no fluff. no detours. no 200-3.2×44k807661.4k
93Sep 29, '25DeepSeek casually unlocked 50x attention efficiency in ~1 year > MLA is ~5.6x faster than MHA > DSA is 9x faster than MLA never doubted you, you big beautiful whale3.1×43k1k46170
94Sep 11, '25any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom key topics on how llms work: > tokenization and embeddings > positional embeddings 3.0×42k679291.1k
95Sep 22, '25step-by-step LLM Engineering Projects each project = one concept learned the hard (i.e. real) way Tokenization & Embeddings > build byte-pair encoder + train your own subword vocab2.9×40k650621.1k
96Sep 19, '25HUGE just came across this comprehensive GPU document it covers > CUDA cores, SMs, tensor cores, warp schedulers > kernels, threads, PTX, memory hierarchy > occupancy, lat2.9×39k72474824
97Aug 20, '25IMPORTANT: like and reply to this tweet (to avoid bots) before requesting to join; it shows you read the instructions introducing our X community for local llms, self-hosting, and 2.9×39k6883199
98Mar 16, '25ان شاء الله هتبرع بجنيه عن كل لايك و 2 جنيه عن كل ريتويت على البوست ده من دلوقتي و لمدة ٢٤ ساعة في #تحدي_مرسال2.8×39k5.4k5234
99Oct 6, '25grinding til 3am isn’t impressive if you’re rolling out of bed at noon every day that’s not hustle, that’s just time shifting lol1.7×24k9783235
100Nov 10, '25you should Buy a GPU and run your AI models locally1.7×23k1k5655
101Oct 11Had such an amazing time last night at the SOTA Wives launch party, they are going to be making some absolutely incredible content Thanks @vivianmshen and @AnjneyMidha for having u1.1×16k106219

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