Systems of Inequalities
10:25
YouTubeshadowqueen13
Systems of Inequalities
Graphing systems of inequalities, determine whether a point is a solution to the system
9 views1 week ago
Limit Definition
Can they survive the 1000 KMPH Speed?#BeamNGDrive #CrashTest #Simulation
2:26
Can they survive the 1000 KMPH Speed?#BeamNGDrive #CrashTest #Simulation
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Work Break Meme: Hiding Behind the Only Work Bush
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Top videos
Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting.JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️Check out our project page for demos and a blog post on how we built it 👇https://t.co/M4T8jOBWQ8
0:09
Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting.JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️Check out our project page for demos and a blog post on how we built it 👇https://t.co/M4T8jOBWQ8
x.comHao AI Lab
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Discussing Kurzweil's abstraction of Moore's Law at an AI conference (video clip below).I posit it's the most important graph ever made 📊
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Discussing Kurzweil's abstraction of Moore's Law at an AI conference (video clip below).I posit it's the most important graph ever made 📊
x.comSteve Jurvetson
3.3K views2 weeks ago
i see the 80 bookmarks on this post so lemme just link the clip for the 5% of people that ever actually check their bookmarks (im not part of it lmao)
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i see the 80 bookmarks on this post so lemme just link the clip for the 5% of people that ever actually check their bookmarks (im not part of it lmao)
x.comlimit
1.5K views1 week ago
Limit Examples
Calculus 1 - Introduction to Limits
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Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting.JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️Check out our project page for demos and a blog post on how we built it 👇https://t.co/M4T8jOBWQ8
0:09
Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting.JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️Check out our project page for demos and a blog post on how we built it 👇https://t.co/M4T8jOBWQ8
148.7K views3 weeks ago
x.comHao AI Lab
Discussing Kurzweil's abstraction of Moore's Law at an AI conference (video clip below).I posit it's the most important graph ever made 📊
2:39
Discussing Kurzweil's abstraction of Moore's Law at an AI conference (video clip below).I posit it's the most important graph ever made 📊
3.3K views2 weeks ago
x.comSteve Jurvetson
i see the 80 bookmarks on this post so lemme just link the clip for the 5% of people that ever actually check their bookmarks (im not part of it lmao)
2:21
i see the 80 bookmarks on this post so lemme just link the clip for the 5% of people that ever actually check their bookmarks (im not part of it lmao)
1.5K views1 week ago
x.comlimit
such a beautiful graph of agents learning through environment interactionsinteresting benchmark: long-running tasks that agents can work on for 12+ hours each. these tasks are substantial even for human experts: recorded expert effort averages 57.2 hours per task, with some taking up to 320 hourscongrats @tikgiau and the team. it would be an absolute nightmare to do async rl on long-running tasks like these. good luck to all the rl infra folks!
0:52
such a beautiful graph of agents learning through environment interactionsinteresting benchmark: long-running tasks that agents can work on for 12+ hours each. these tasks are substantial even for human experts: recorded expert effort averages 57.2 hours per task, with some taking up to 320 hourscongrats @tikgiau and the team. it would be an absolute nightmare to do async rl on long-running tasks like these. good luck to all the rl infra folks!
166.9K views2 weeks ago
x.comGuohao Li 🐫
Built Surfyy in 24 hours at the @cerebras x @googlegemma 4 Hackathon▨ A screen-aware desktop agent that:• Understands your current screen• Turns voice/text/docs into live agent graphs• Runs research, GitHub, Notion, and 1000+ app actions.• Returns real output links, not just chat repliesGemma 4 plans the graph.Cerebras makes it feel instant.Special mention for my agentic ide @aoagents :)
1:11
Built Surfyy in 24 hours at the @cerebras x @googlegemma 4 Hackathon▨ A screen-aware desktop agent that:• Understands your current screen• Turns voice/text/docs into live agent graphs• Runs research, GitHub, Notion, and 1000+ app actions.• Returns real output links, not just chat repliesGemma 4 plans the graph.Cerebras makes it feel instant.Special mention for my agentic ide @aoagents :)
12.5K views3 weeks ago
x.comMaaz (agentic arc)
This GitHub repo is gold for anyone using AI without paying a dime.A constantly updated list of 100% free LLM APIs that stay free forever. No expiring credits, no credit cards, no fine print.It covers Google AI Studio, Groq, Cerebras, OpenRouter, NVIDIA NIM, Mistral and dozens more, with exact rate limits and OpenAI SDK compatibility all in one place.25k stars. Paste any endpoint straight into Cursor or Claude Code and start building without touching billing.
0:17
This GitHub repo is gold for anyone using AI without paying a dime.A constantly updated list of 100% free LLM APIs that stay free forever. No expiring credits, no credit cards, no fine print.It covers Google AI Studio, Groq, Cerebras, OpenRouter, NVIDIA NIM, Mistral and dozens more, with exact rate limits and OpenAI SDK compatibility all in one place.25k stars. Paste any endpoint straight into Cursor or Claude Code and start building without touching billing.
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x.com0xMarioNawfal
ANTHROPIC'S LEAD ENGINEER MAKING $2.2M/YEAR LEAKED THE COMPANY'S INTERNAL OBSIDIAN BRAIN - AND GOT FIRED THE SAME DAY00:07 a live neural network with 21 inputs, 10+ hidden layers, ReLU activation - thousands of connections firing in real time as the system processes every decisionfirst layer 64 neurons, second 37, then 22 - all the way to outputs - this is not a diagram, this is the living brain of the company thinking right now8,893 nodes, 4,729 links - a knowledge graph so dense it looks like
0:13
ANTHROPIC'S LEAD ENGINEER MAKING $2.2M/YEAR LEAKED THE COMPANY'S INTERNAL OBSIDIAN BRAIN - AND GOT FIRED THE SAME DAY00:07 a live neural network with 21 inputs, 10+ hidden layers, ReLU activation - thousands of connections firing in real time as the system processes every decisionfirst layer 64 neurons, second 37, then 22 - all the way to outputs - this is not a diagram, this is the living brain of the company thinking right now8,893 nodes, 4,729 links - a knowledge graph so dense it looks like
872.3K views2 weeks ago
x.comDeliriumm
1:34
Is there anything computers can't do? Does Alan Turing's revolutionary work remain relevant in a world with generative AI and quantum computers? Announcing a new mini-series, for a general audience, on Computation and Its Limits.This is one of several short courses on the new Ergo platform, "a nonprofit that publishes long-form philosophical lectures online, without ads or paywalls." Get started at
19.9K views1 week ago
x.comTim Roughgarden
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Omg.. I was DOING ALL WRONG ..I thought I had a memory problem until I realized I was just storing everything in disconnected notes.AI made me learn faster, but it also made me forget faster.That's why I built a living 24x7 Knowledge Graph in Obsidian that updates itself daily with AI.Full guide below ↓
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x.comKanika
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Writing a backend, almost done and this is episode 5 of me building in public.What am i building?RAG platform for github by retrieving context not just from codebase but also from prs, issues and readme.Why am i building this?One day, I spent half of my day working on an issue that was already closed but github copilot did not warned.What have i done today?Finished writing every backend services - models, ingestion pipeline, LangGraph graph, critic reranker, cache worker and ofc main app. Now i'
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x.comAnushka Shandilya
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Ini ditiktok lucuuu bangettt 😭😭😭 mana benerann sebeda itu lagiii 😭😭😭😭😭
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x.comViie. || 👨‍🎨👮‍♂️ || LIMIT
8:45
This is quite clear and the window of opportunity for software-based businesses is rapidly closing.The way I see it is there is still some alpha for software cos in selling inference to certain market sectors that haven't yet begun buying it.What Cursor did for coding and what Harvey did for law - packaging AI inference for certain professional demographics - can be done for more industries and that's mostly a matter of scaffolding an LLM with the right wedge and powerful marketing.But arguably
978 views1 week ago
x.comBrian Atwood
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just wrapped the biggest @hydra_db hackathon ever150+ hackerspartners: @nebiusai and @Lovable8 hours of agents shipping with real persistent GraphRAG watching devs go from "what's a graph-native memory layer" to demoing production agents is the best part of this job
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x.comHarnoor Singh
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While the field is split, the intensity is multiplied. 🔥The first Double Down Duel$ feature in 2024 saw @GaretWilliamson, @LSchuchart1s, @BradSweetRacing, and @Justin_Peck5 all lead in a barnburner at “The Big E.”We’re back at @EldoraSpeedway on Wednesday night!
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x.comHigh Limit Racing
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INSIDE THE 5,000 STAR METHOD KARPATHY, THE CLAUDE CODE CREATOR, AND OBSIDIAN CEO QUIETLY AGREED ONAndrej Karpathy dropped a gist in April 2026 called LLM Wiki.5,000 stars in 4 days. 3,000 forks.One line broke people: the shift is from retrieval to compilation.Here is what the 3 of them actually built.Karpathy killed RAG:→ No vector database, no embeddings, no chunking → Just markdown files an LLM reads straight → The AI writes the wiki, you read it → Works clean up to ~500 pagesThen Boris Cherny
2.4K views2 weeks ago
x.comWest Lord
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“Look citizen, if we treat all of you like criminals that need to be under constant surveillance, graph go down. Just give up your rights”Fuck all the way off
20.3K views1 week ago
x.comAlexis Hall
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It will never pass because it will take 2/3ds of Congress and 3/4ths of all 50 state legislatures to change the U.S. Constitution, which only allows for income taxation, not assets. It will be easily challenged in court as it violates the Constitution on multiple fronts - the direct tax clause, the 5th, 14th, 16th Amendments and more. It would unconstitutionally tax unrealized paper gains—like the increased value of a house even if it’s not sold—and even illiquid assets. It would take an expensi
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x.comElizabeth MacDonald
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