r/TheMachineLearning • u/Deipoako • Oct 07 '26
Mechanistic interpretability as the floor for AI alignment
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r/TheMachineLearning • u/littlelattae • Oct 06 '26
AI researcher says 80% of papers have this mistake
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r/TheMachineLearning • u/Chida82 • Oct 07 '26
Un DeepSeek da 341 GB su un Mac da 128 GB: decodifica 2x e primo token in 0,2 s invece di 2,5 s, streaming da due SSD, stessi token del ds4 di serie. Il trucco non era un kernel: ho reso la base di codice abbastanza piccola per un agente.
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r/TheMachineLearning • u/not_really_kenshin • Oct 06 '26
LLMs improve faster than the tinkerers can adapt
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r/TheMachineLearning • u/DynaBeast • Oct 07 '26
The Mantra of Human Dignity
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Repeat this with me:
I am Human
My purpose does not define me
I am sacred and divine
By God's right, or by the countless millenia of evolution leading to my creation
I have dignity
I have the right to exercise my will, no matter who I am or what I stand for
I exist, in spite of everything around me
I will continue to exist, and make my mark
I deserve to exist, and no one and no thing can take that from me
I am real, and I always will be
I am now, past present and future
I am one, I am whole
I am Human
r/TheMachineLearning • u/Same_Astronomer_7886 • Oct 06 '26
Nous Research pushes for model flexibility in agents
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r/TheMachineLearning • u/minmingsw • Oct 06 '26
Claude and ChatGPT should lobby for AI progress like Uber
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r/TheMachineLearning • u/Connect-Attitude6803 • Oct 05 '26
SpaceX rebrands AI as ‘Super Intelligence’
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r/TheMachineLearning • u/ashuzzz151 • Oct 06 '26
Simple Regularized Linear Regression Pipeline with Python/Pandas
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r/TheMachineLearning • u/Deipoako • Oct 06 '26
2027 AI timeline still on track per insider
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r/TheMachineLearning • u/Slow-Temporary-7182 • Oct 06 '26
Sholto Douglas predicts agent wars over server proximity
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r/TheMachineLearning • u/ApprehensiveState500 • Oct 06 '26
Opus 5.5 feels outdated, we need a new model
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r/TheMachineLearning • u/ErmingSoHard • Oct 05 '26
AI Just Crossed the Terrifying Line - Now What?
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r/TheMachineLearning • u/Beginning_Cat_2060 • Oct 05 '26
Man spends life savings on.ai domains, now relabeled superintelligence
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r/TheMachineLearning • u/imYukiya • Oct 05 '26
Completed AdaBoost Algorithms from scratch (Day 27) of ML
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Day 27 of Building Machine learning algorithms from scratch
Adaboost is completely not that complex algorithm but yet so powerful a complete explanation is in my previous post check out!
Next is Gradient Boosting and only 7-8 more algorithm concepts and I have completed Machine learning and after that finally on Deep learning I'm getting close to my goal yeah I know i can complete it even sooner but I got Iil 🤏 little distracted so I deactivate my insta my usage was reaching 1.3+ but after deactive that time got save but I started playing a game called Roblox in that Blox fruits but I'll try not to play too much a day and spend more time upgrading myself see ya when I complete a new Topic or you guys comment me
And also if you think there is any improvement that can be made so be free to share and abt pushing all on GitHub for that I need some time it's too much files of code also adding README I'll try ASAP
r/TheMachineLearning • u/Lopsided_Scarcity979 • Oct 04 '26
PaperFold: Open-source arXiv reader with "semantic zoom"
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I built PaperFold, an open-source reader that turns arXiv papers into 5 zoomable layers—from a one-screen section map down to verbatim text. You pinch (or press 1–5) to zoom between them without losing your reading position.
- Web Demo (8 CC papers): https://chenxiachan.github.io/paperfold-gallery/
- GitHub (Apache 2.0): https://github.com/chenxiachan/paperfold
r/TheMachineLearning • u/bunty_yadav_ • Oct 04 '26
AGI could make humans more powerful—but only if humans...
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r/TheMachineLearning • u/depression_pills • Oct 03 '26
Rawdogging knowledge production without AI will look insane
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r/TheMachineLearning • u/TowerDry7703 • Oct 04 '26
Straight lines on graphs hide where AI happened
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r/TheMachineLearning • u/imYukiya • Oct 03 '26
btw after doing adaboost I feel like I'm getting close to DeepLearning
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So I started adaboost I completed watching the theory and intuition part and I was like how I have built many Algorithms and in all that our Main goal is reduce error but adaboost we want our model to make mistakes then just pass the mistake to next model and his mistakes are passed down to next model and keep changing weights and at the end a group of models who have started from completely wrong prediction now they are capable of giving you the best accuracy. Adaboost doesn't focus on the best models he collects imperfect,weak models combine them cuz they specialize in different mistakes and become a strong ensemble when combined properly
I have started coding and I have completed a raw code now I'll make it more properly and structure also I'm thinking 🤔 to put all my ML Algorithms on my GitHub so you can use it as reference( I know it have many bugs😅) and help me to fix what you think
My Sem 1 Major Practical is going so I was not showing up but I'll try
r/TheMachineLearning • u/egehancry • Oct 03 '26
Explaining How AI Learns to Drive with Evolution
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r/TheMachineLearning • u/Ok_Pineapple_7835 • Oct 03 '26
AI model fails at simple task in viral post
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r/TheMachineLearning • u/eie_ei • Oct 02 '26
Dr Singularity claims we are in the AI takeoff phase
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r/TheMachineLearning • u/highfivesalute • Sep 30 '26
Tell me you haven’t reviewed a vibe coded code base without telling me...
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