Avi @abhishek_a_i
Content focuses AI, Web3 and Cyber Security ✌️ India Joined January 2015-
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AI killed the illusion that writing code is what made you a developer.
youtube premium now has 4x speed... but they don't want you to know this one trick: document.querySelector("video").playbackRate = 4
Qwen Edit Plus [2509] works sooo well with Qwen Lightning LoRA I combined it with the v2 LoRA and you get practically the same SOTA quality and enhancements of the new model - but in 8 steps 💨 add compilation & FA3 and you have 12x faster inference ⚡️ try it👇
Don't mix up vibe coding with AI assisted coding. I am not blindly changing code everywhere.
Don't mix up vibe coding with AI assisted coding. I am not blindly changing code everywhere.
We’re dropping Qwen3-Next-80B-A3B-Instruct-FP8 and Qwen3-Next-80B-A3B-Thinking-FP8 and fully compatible with Transformers, vLLM and SGLang. Now with FP8 precision for blazing-fast inference 🚀 Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…
🚀 Introducing SWE-Bench Pro — a new benchmark to evaluate LLM coding agents on real, enterprise-grade software engineering tasks. This is the next step beyond SWE-Bench: harder, contamination-resistant, and closer to real-world repos.
Alibaba's character swap via Wan2.2-Animate very impressive *and* free and open-source..
i've been flipping between using slow high reasoning models like gpt5 and fast models like k2 and i really feel like speed trumps everything
Struggling with the 3-minute limit on Qwen3-ASR-Flash? No more! Introducing the Qwen3-ASR-Toolkit 🚀 A free, open-source CLI to transcribe HOURS-long audio/video files at high speed. Unleash the full power of the Qwen3-ASR-Flash API! 💥 🧠 Smart VAD splitting (no awkward…
why I am bullish on the reasoning version of Kimi K2
why I am bullish on the reasoning version of Kimi K2 https://t.co/IqJ6U4YGIP
If AI can refactor 60M+ lines of legacy code in a single run, the software world will never be the same... Join me in the latest MOONSHOTS pod with @blitzyai: -- Blitzy’s rise from a Harvard dorm project -- Beating SWE Bench with record 86.8% -- AI rewriting the foundations of…
The social mode is completely broken on @perplexity_ai . Earlier it was able to query reddit. But now it only says: "I cannot access Reddit content directly due to technical limitations - Reddit restricts programmatic access to their search results and discussions." What…
A user just reported a bug to the @perplexity_ai CEO... and he responded! Here's the Maestro test that would've caught this 👇 (written in 5 minutes) x.com/sapanpatel2030…
A user just reported a bug to the @perplexity_ai CEO... and he responded! Here's the Maestro test that would've caught this 👇 (written in 5 minutes) x.com/sapanpatel2030… https://t.co/gNVK0MiU99
Was helping a client today with a 500 million row dataset. It took about 42 GB as a CSV & 7 GB as a parquet file. We needed a count of rows per ID. We tried Arrow but gave up after staring at the console for a few minutes. Switched to DuckDB & got an answer in less than a second.
Same model, different story.👇
Same model, different story.👇 https://t.co/225g3NOYHP
Introducing checkpoint-engine: our open-source, lightweight middleware for efficient, in-place weight updates in LLM inference engines, especially effective for RL. ✅ Update a 1T model on thousands of GPUs in ~20s ✅ Supports both broadcast (sync) & P2P (dynamic) updates ✅…
Gemini 2.5, Claude 4, Qwen 3, GPT-OSS, K2, GPT-5, Grok Code, ... One lesson to learn from the releases of the last few months it is that AI coding tools that lock you in to a single model family are very short-sighted bet. My recommendation: pick up a tool that gives you choice…
Codex did what Claude Code should have done (and hopefully still does) An actual, native integration. Not some rebranded terminal windows. Let's go!
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
Humans don't keep 1M tokens (500K words/2hr video) in the working memory all the time. Instead, we focus working memory on the most critical few tokens, then use long-term memory, external tools, and task segregation (sub-agents) to accomplish the tasks. This is why I'm very…
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