Guess Claude code proved this way earlier when it was more performant with sonnet 4.6 than other frontiers, it’s the harness fgs!! https://t.co/3dl7NMODr7
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 5, 2026
Not impacted with anthropic cutting subs from claws. If you have been using your agents regularly, using anthropic 100% was never a sustainable option as it was clearly $200++ bill a month, so I have been using locally hosted Qwen3.5 with other options. No complaints. Kimi2.5 has https://t.co/53quTIemdT
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 4, 2026
OSS models are closing the gap, and with GGUF, NVFP and MXL, local inference is gaining wider adoption. Frontier models will still be the apple of the industry https://t.co/uH662icIlC
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
Classic troll https://t.co/s3PhfDmPw3
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
BitTorrent meets Napster for LLM inferencing
https://t.co/bgFnO1s870— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
RT @hqmank: If you’re using Claude Code, this is worth knowing.
Instead of worrying about whether Opus 4.6 or GPT 5.4 is better, it’s more…
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Apr 3, 2026
@ivanfioravanti Running GLM 5.1 and M2.7 via Ollama Claude code? Global settings won’t work right for 3 separate configs?
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 30, 2026
Implementation of Google’s TurboQuant (ICLR 2026) — KV cache compression for local LLM inference, with planned extensions beyond the paper https://t.co/raO8puxH9B
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 30, 2026
@thekitze @Lovable 🤣
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 28, 2026
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar https://t.co/ekUuDIqPEI
— Abhay 🇸🇬🇮🇳 (@Abhay08)
Mar 28, 2026