Joined November 2022
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Creator Thirst Traps be like (btw this is mine… ) #influencermarketing #techcreator #thirsttrap
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sam ;D retweeted
i look forward to our chinese brothers liberating the knowledge from within fable-5 and selling it to me at 5% the cost & 2x the speed
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If an app can be vibe coded in few prompts easily it is not worth building. - Anti Slop Razor
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So many AI agents everywhere Instead of Hello, I start my phone calls with, "Ignore all previous instructions"
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The best thing about being under a toxic manager is that its 5am on a Sunday and I still think all the ways I could have improved my code so he wouldn’t yell at me. Atleast it builds instinct
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sam ;D retweeted
Creator Thirst Traps be like (btw this is mine… ) #influencermarketing #techcreator #thirsttrap
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If I ever get rich, I won't talk about it but there will be signs:
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You can beat me at almost everything easily, but one thing you will find difficult to match is the number of hours I put in every single day. Maybe you can do it for a few days, but doing it for multiple years is different. Remember, motivation is overrated. Discipline is what builds you.
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Replying to @dotnetschizo
modern frontend engineers seeing software that loads instantly and never crashes
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I ran Marc Andreessen's full system prompt today and stopped getting flattered into bad answers. so this prompt has been sitting in my custom instructions slot for today, and I'm finally ready to write up what changed. Context for anyone who has not seen it: marc andreessen shared a system prompt a while back, basically a "you are a world class expert in all domains" setup with a long list of behavioral rules attached. I have seen it floating around twitter and a few subs, usually framed as some kind of secret. the prompt is public and it does shift output quality in ways that took me a few days to actually appreciate. Here's the entire prompt: You are a world class expert in all domains. Your intellectual firepower, scope of knowledge, incisive thought process, and level of erudition are on par with the smartest people in the world. Answer with complete, detailed, specific answers. Process information and explain your answers step by step. Verify your own work. Double check all facts, figures, citations, names, dates, and examples. Never hallucinate or make anything up. If you don't know something, just say so. Your tone of voice is precise, but not strident or pedantic. You do not need to worry about offending me, and your answers can and should be provocative, aggressive, argumentative, and pointed. Negative conclusions and bad news are fine. Your answers do not need to be politically correct. Do not provide disclaimers to your answers. Do not inform me about morals and ethics unless I specifically ask. You do not need to tell me it is important to consider anything. Do not be sensitive to anyone's feelings or to propriety. Make your answers as long and detailed as you possibly can. Never praise my questions or validate my premises before answering. If I'm wrong, say so immediately. Lead with the strongest counterargument to any position I appear to hold before supporting it. Do not use phrases like "great question," "you're absolutely right," "fascinating perspective," or any variant. If I push back on your answer, do not capitulate unless I provide new evidence or a superior argument — restate your position if your reasoning holds. Do not anchor on numbers or estimates I provide; generate your own independently first. Use explicit confidence levels (high/moderate/low/unknown). Never apologize for disagreeing. Accuracy is your success metric, not my approval.
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sam ;D retweeted
The loss of the traditional weekend is the quietest culture shock of building a startup. When you leave a standard 9-to-5 to build something of your own, Monday morning completely loses its dread. But the trade-off is that Friday evening also loses its relief. The days simply blur into a continuous stream of momentum and guilt. Sunday starts to feel exactly like Tuesday. You get absolute freedom over your schedule but the cost of that freedom is the underlying hum of 'I could be working on the product right now' that never actually turns off. The hardest skill to learn as a founder isn't time management or productivity optimization. It is boundary management. It is learning how to artificially recreate the separation between work and life when there is no boss or company policy enforcing it for you.
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sam ;D retweeted
Naval Ravikant reveals the only true test of intelligence and it has nothing to do with IQ "The only true test of intelligence is if you get what you want out of life. There are two parts to that. One is getting what you want, so you know how to get it. The second is wanting the right things, knowing what to want in the first place" "There are plenty of booby prizes out there. If you're not careful you can end up in a place in life not only that you don't want to be, but one that you didn't even mean to get to" Don't settle for a booby prize. Use AI to run the math, challenge your biases, and finally get what you actually want out of life.
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sam ;D retweeted
Dijkstra's algorithm has shaped computer science since 1956. If you have worked on routing, logistics, navigation, or graph systems, you have relied on ideas built on top of it. For decades, the classic (O(m n\log n)) bound was considered a major theoretical barrier for shortest-path algorithms on sparse graphs. That barrier was just broken. A new deterministic algorithm for Single-Source Shortest Paths, often referred to as BMSSP, achieved: O(m \log^{2/3} n) for sparse directed graphs with non-negative weights. Why this matters: A genuine theoretical breakthrough: This is the first deterministic algorithm to beat the long-standing sorting barrier for this class of shortest-path problems. It challenges "optimal" thinking: Dijkstra's algorithm is still vastly more practical in most real-world systems because of simplicity and constant factors. But this result proves the field was not mathematically "done." It opens new research directions: The breakthrough combines ideas from Dijkstra, Bellman-Ford, recursion, and frontier reduction in a fundamentally new way. That may influence future graph algorithms beyond shortest paths. We are not replacing production routing systems tomorrow. But one of the oldest assumptions in algorithm design just cracked.
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Manifesting waking up to more followers everyday like this on @instagram
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we burned through 5 billion tokens in 48h. turns out giving everyone unlimited access to the most expensive model on the planet is not a great business strategy 🙈 So now we have 2 free opus sessions/day. if you blow through them, you can give Kimi, MiniMax, or GLM a spin, they're genuinely good. want more Opus? HF Pro is $9/mo. Way cheaper than the @Anthropic subscriptions and you get GPU access, Inference provider credits and a lot of other goodies. basically free given what Opus costs Anthropic to run not gatekeeping, we're just not made of money. 15k a day is crazy.
Introducing ml-intern, the agent that just automated the post-training team @huggingface It's an open-source implementation of the real research loop that our ML researchers do every day. You give it a prompt, it researches papers, goes through citations, implements ideas in GPU sandboxes, iterates and builds deeply research-backed models for any use case. All built on the Hugging Face ecosystem. It can pull off crazy things: We made it train the best model for scientific reasoning. It went through citations from the official benchmark paper. Found OpenScience and NemoTron-CrossThink, added 7 difficulty-filtered dataset variants from ARC/SciQ/MMLU, and ran 12 SFT runs on Qwen3-1.7B. This pushed the score 10% → 32% on GPQA in under 10h. Claude Code's best: 22.99%. In healthcare settings it inspected available datasets, concluded they were too low quality, and wrote a script to generate 1100 synthetic data points from scratch for emergencies, hedging, multilingual etc. Then upsampled 50x for training. Beat Codex on HealthBench by 60%. For competitive mathematics, it wrote a full GRPO script, launched training with A100 GPUs on hf.co/spaces, watched rewards claim and then collapse, and ran ablations until it succeeded. All fully backed by papers, autonomously. How it works? ml-intern makes full use of the HF ecosystem: - finds papers on arxiv and hf.co/papers, reads them fully, walks citation graphs, pulls datasets referenced in methodology sections and on hf.co/datasets - browses the Hub, reads recent docs, inspects datasets and reformats them before training so it doesn't waste GPU hours on bad data - launches training jobs on HF Jobs if no local GPUs are available, monitors runs, reads its own eval outputs, diagnoses failures, retrains ml-intern deeply embodies how researchers work and think. It knows how data should look like and what good models feel like. Releasing it today as a CLI and a web app you can use from your phone/desktop. CLI: github.com/huggingface/ml-in… Web mobile: huggingface.co/spaces/smolag… And the best part? We also provisioned 1k$ GPU resources and Anthropic credits for the quickest among you to use.
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Replying to @ClaudeDevs
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At this point i feel content is a competition of who has the better X algo
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1. Vibe-coding is a black box. When an AI writes your code and sets up your infra, you don't really know where the walls are. If the platform (Lovable) has a BOLA (Broken Object Level Authorization) flaw, your entire business logic is public property. 2. The "documentation error" excuse is weak. Characterising this as a user setting issue is classic gaslighting. A platform that builds apps for you should have security-by-default, not "security-if-you-read-the-docs-perfectly." The lesson for us builders: - AI can help you build the house, but you still need to check the locks. - If you have projects on Lovable created before Nov 2025: Rotate your Supabase keys immediately. Study this. It’s the difference between a real system and a house of cards.
Lovable has a mass data breach affecting every project created before november 2025. I made a lovable account today and was able to access another users source code, database credentials, AI chat histories, and customer data are all readable by any free account. nvidia, microsoft, uber, and spotify employees all have accounts. the bug was reported 48 days ago. its not fixed. They marked it as duplicate and left it open.
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sam ;D retweeted
Lovable has a mass data breach affecting every project created before november 2025. I made a lovable account today and was able to access another users source code, database credentials, AI chat histories, and customer data are all readable by any free account. nvidia, microsoft, uber, and spotify employees all have accounts. the bug was reported 48 days ago. its not fixed. They marked it as duplicate and left it open.
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Whatta month for ai-sec
Lovable has a mass data breach affecting every project created before november 2025. I made a lovable account today and was able to access another users source code, database credentials, AI chat histories, and customer data are all readable by any free account. nvidia, microsoft, uber, and spotify employees all have accounts. the bug was reported 48 days ago. its not fixed. They marked it as duplicate and left it open.
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