AI/ML

2025 Year in Review of LLM paradigm changes

Every M3 Ultra Mac Studio and Mac Mini cluster I’ve built hit the same wall… until Apple quietly removed the bottleneck—and suddenly, we're running the real deal. 👀 Start learning cyber security with TryHackMe: https://tryhackme.com/ziskind Use my code "ZISKIND25" to get 25% off on annual subscription! 🛒 Gear Links 🛒 ⌨️🏢 The rack in this video: tall version- https://amzn.to/4cvsfk3 short version - https://amzn.to/4j6Nuv4 🪛🪛Highly rated precision driver kit: https://amzn.to/4fkMVfg 💻☕ Favorite 15" display with magnet: https://amzn.to/3zD1DhQ 🎧⚡ Great 40Gbps T4 enclosure: https://amzn.to/3JNwBGW 🛠️🚀 My nvme ssd: https://amzn.to/3YLEySo 📦🎮 My gear: https://www.amazon.com/shop/alexziskind 🎥 Related Videos 🎥 🧳🧰 Mini PC portable setup - https://youtu.be/4RYmsrarOSw 🍎💻 Dev setup on Mac - https://youtu.be/KiKUN4i1SeU 💸🧠 Cheap mini runs a 70B LLM 🤯 - https://youtu.be/xyKEQjUzfAk 🧪🔥 RAM torture test on Mac - https://youtu.be/l3zIwPgan7M 🍏⚡ FREE Local LLMs on Apple Silicon | FAST! - https://youtu.be/bp2eev21Qfo 🧠📉 REALITY vs Apple’s Memory Claims | vs RTX4090m - https://youtu.be/fdvzQAWXU7A 🧬🐍 Set up Conda - https://youtu.be/2Acht_5_HTo ⚡💥 Thunderbolt 5 BREAKS Apple’s Upcharge - https://youtu.be/nHqrvxcRc7o 🧠🚀 INSANE Machine Learning on Neural Engine - https://youtu.be/Y2FOUg_jo7k 🧱🖥️ Mac Mini Cluster - https://youtu.be/GBR6pHZ68Ho * 🛠️ Developer productivity Playlist - https://www.youtube.com/playlist?list=PLPwbI_iIX3aQCRdFGM7j4TY_7STfv2aXX 🔗 AI for Coding Playlist: 📚 - https://www.youtube.com/playlist?list=PLPwbI_iIX3aSlUmRtYPfbQHt4n0YaX0qw EXO Github repo: https://github.com/exo-explore/exo Awni's MLX dist setup Gist: https://gist.github.com/awni/ec071fd27940698edd14a4191855bba6 My extra script (don't just run these, they need work, so be careful. They are just there for guidance): https://github.com/alexziskind1/mlx-dist-setup — — — — — — — — — ❤️ SUBSCRIBE TO MY YOUTUBE CHANNEL 📺 Click here to subscribe: https://www.youtube.com/@AZisk?sub_confirmation=1 — — — — — — — — — Join this channel to get access to perks: https://www.youtube.com/channel/UCajiMK_CY9icRhLepS8_3ug/join — — — — — — — — — 📱 ALEX on X: https://x.com/digitalix 📱 AWNI (MLX) on X: https://x.com/awnihannun #macstudio #m4max #m3ultra

This AI leaderboard shows comparison of capabilities, price and context window for leading commercial and open-source LLMs, based on the benchmark data provided in technical reports in 2025.

Comparison of API provider performance across over 500 AI Model endpoints, including from OpenAI, Google, DeepSeek and others, across performance key metrics including price, output speed, latency, context window and more.

The IDP Leaderboard is a unified benchmark for document understanding tasks, including OCR, KIE, classification, question answering, table extraction, and confidence score evaluation.

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

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On the topic of artificial intelligence, like far too many topics these days, it seems that the vast majority of opinions out there are highly polarized. Either you’re all about making fun of…

Join the AI Evals Course starting Jan 27, 2026: https://maven.com/parlance-labs/evals?promoCode=tf-yt-c4Watch Shreya Shankar and I break down five years of g...

Create better AI-prototyping designs by using precise visual keywords, references, analysis, as well as mock data and code snippets.

I recently came across JustHTML, a new Python library for parsing HTML released by Emil Stenström. It’s a very interesting piece of software, both as a useful library and as …

The gradual and systemic over-reliance on LLM outputs, especially with agentic systems, leads to a normalization of deviance.

Apple is making it easier to turn a bunch of Macs into an AI supercomputer with Thunderbolt 5 clustering.

Open-source platform to build and deploy AI agent workflows. - simstudioai/sim

The promise of personal AI assistants rests on a dangerous assumption: that we can trust systems we haven’t made trustworthy. We can’t. And today’s versions are failing us in predictable ways: pushing us to do things against our own best interests, gaslighting us with doubt about things we are or that we know, and being unable to distinguish between who we are and who we have been. They struggle with incomplete, inaccurate, and partial context: with no standard way to move toward accuracy, no mechanism to correct sources of error, and no accountability when wrong information leads to bad decisions...

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If you are reading this, you probably have strong opinions about AGI, superintelligence, and the future of AI. Maybe you believe we are on the cusp of a transformative breakthrough. Maybe you are skeptical. This blog post is for those who want to think more carefully about these claims and examine them from a perspective […]

A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local - tobi/qmd

Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost

I’m hanging out in Sydney with my esteemed co-author and co-conspirator Gene Kim today; we flew in to conduct Vibe Coding workshops and…

Check out HubSpot's FREE AI Decoded Pocket Guide: https://clickhubspot.com/d21e13 In today's video, I'll be breaking down what made DeepSeek V3.2 such an important paper, how is DeepSeek-V3.2-Speciale so good, how DeepSeek has created this model, and explaining DeepSeek's new secret weapon: DeepSeek Sparse Attention (DSA). My Newsletter https://mail.bycloud.ai/ my project: find, discover & explain AI research semantically https://findmypapers.ai/ My Patreon https://www.patreon.com/c/bycloud DeepSeek-V3.2 [Paper] https://arxiv.org/abs/2512.02556 [V3.2 Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2 [V3.2 Speciale Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale DeepSeek-V3.2-exp [Paper] https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf [Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Exp DeepSeek-V3.1-Terminus [Paper] https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus [Huggingface] https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Terminus Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI This video is supported by the kind Patrons & YouTube Members: 🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon, Lame Plane [Discord] https://discord.gg/NhJZGtH [Twitter] https://twitter.com/bycloudai [Patreon] https://www.patreon.com/bycloud [Business Inquiries] bycloud@smoothmedia.co [Profile & Banner Art] https://twitter.com/pygm7 [Video Editor] @Booga04 [Ko-fi] https://ko-fi.com/bycloudai

This is a public facing version of an internal onboarding guide at Cursor provided to GTM + non engineering hires. This guide walks through getting started from scratch to a built out, deployed project.