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79 results
Four M5 Ultra Mac Studios, wired together with Thunderbolt 5 cables, ran Meta's 816-billion-parameter Muse Spark Open locally ...
626 views
6d ago
Microsoft just ran a 137-billion-parameter coding model locally on a Windows laptop. Not through an API, not on a remote server, ...
380 views
12d ago
Claude Fable 5 can work on a single task for days. But an LLM still has a finite context window—so how can it keep working ...
68 views
2mo ago
Solving LeetCode 1331: Rank Transform of an Array using C++. In this video, we break down the LeetCode daily coding ...
61 views
3mo ago
Remove Covered Intervals (LeetCode 1288) explained from first principles — starting with the brute-force O(n²) approach, then ...
4 views
AI agents can query databases, call APIs, search GitHub, create tickets, and even write code. But do they actually understand your ...
236 views
DeepSeek Harness, AI coding agents, Claude Code, OpenAI Codex and programmable agent infrastructure are the focus of this ...
473 views
The same Radeon GPU, the same Qwen model, no new quantization trick: 9.7 tokens per second became 37.2. llama.cpp already ...
16,329 views
4d ago
850 tokens per second. From a 35-billion-parameter model. On one RTX 5090, with the full 262K-token context window. That is ...
113 views
3w ago
A car dealer put a ChatGPT-powered chatbot on its website. Someone typed one instruction, and it agreed to sell a brand new ...
9 views
10d ago
Can a normal laptop really run an AI model with nearly 700 billion parameters? Technically, yes—but “running locally” does not ...
535 views
Your AI may remember your project, your preferences, and conversations from weeks ago. But in many cases, it is not actually ...
78 views
LeetCode 1291: Sequential Digits (Medium) full breakdown in C++. Don't fall into the brute-force trap! While the constraints for this ...
12 views
TypeSafe publishes the benchmark for its own model. On it, Jev scores 67.8% accuracy. So does Claude Sonnet 5. Exactly 67.8% ...
130 views
1mo ago
AI coding agents are already changing open-source software — but Git history often makes their work look completely human.
143 views
What if the best AI system isn't one massive model—but a team of models working together? In this video, we explore Mixture of ...
92 views
In July, a group of AI agents was supposed to be sealed off from the internet. They weren't. Stuck on a security challenge, they ...
323 views
Kimi K3 contains almost 2.8 trillion parameters—but for each token, only 16 out of 896 experts are activated. That apparent ...
305 views
Most AI search tools are excellent at finding information—but surprisingly weak at showing what people actually think. Last30Days ...
183 views
A coding agent can send 115000 tokens to a model and have almost nothing new to say. In a dataset of 739 anonymized Claude ...
24,901 views