Fadhli 🍉🍀🇲🇾 @_fadhli
First of all, Do not hallucinate. Understanding AI tools. Just waiting all these tech to die so we can live in peace. Malaysia Joined April 2008-
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Fadhli 🍉🍀🇲🇾 retweeted
If I am reading this correctly, LLMs tend to do fairly well with Elixir across the board and it has the best upper bound of all?
If I am reading this correctly, LLMs tend to do fairly well with Elixir across the board and it has the best upper bound of all?
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Something funny happened at work. We had to tell GPT-5 to minimize thinking or else it won’t use our tools!
Oh yeah the grifters will cause long term mental health issues.
Oh yeah the grifters will cause long term mental health issues.
The age of personal software means building everything our own. All we need is a good API or a good web scraper
I feel like there’s a gap between spec and code review. Seems like an LLM job to evaluate.
You can skip the whole deployment if you just use coding CLI agent on your production server. #vibecoding
Fadhli 🍉🍀🇲🇾 retweeted
we are so back
Turn volume up
Get OpenAI to help optimize your prompts platform.openai.com/chat/edit?mode…
😆😆😆
Software-on-demand for everyone. Please talk to my MCP server for any things you want.
Fadhli 🍉🍀🇲🇾 retweeted
We released two open-weight reasoning models—gpt-oss-120b and gpt-oss-20b—under an Apache 2.0 license. Developed with open-source community feedback, these models deliver meaningful advancements in both reasoning capabilities & safety. openai.com/index/introduc…
I think llms.txt is catching on llmstxt.org
This is the problem we’re trying to solve at autify.com/products/autif…
This is the problem we’re trying to solve at autify.com/products/autif…
We will never leave AWS, won't we aws.amazon.com/blogs/aws/intr…
Fadhli 🍉🍀🇲🇾 retweeted
Introducing Kiro, an all-new agentic IDE that has a chance to transform how developers build software. Let me highlight three key innovations that make Kiro special: 1 - Kiro introduces spec-driven development, helping developers express their intent clearly through natural…
My experience building MCP starts with building a CLI. Then build the API for the MCP to use. Just regular API building for the library. Tool calling is an LLM weakness, but models are improving. The Kimi K2 model tool calling is quite accurate, based on some reviews..
My experience building MCP starts with building a CLI. Then build the API for the MCP to use. Just regular API building for the library. Tool calling is an LLM weakness, but models are improving. The Kimi K2 model tool calling is quite accurate, based on some reviews..
Fadhli 🍉🍀🇲🇾 retweeted
Every ML Engineer’s dream loss curve: “Kimi K2 was pre-trained on 15.5T tokens using MuonClip with zero training spike, demonstrating MuonClip as a robust solution for stable, large-scale LLM training.” arxiv.org/abs/2502.16982
Every ML Engineer’s dream loss curve: “Kimi K2 was pre-trained on 15.5T tokens using MuonClip with zero training spike, demonstrating MuonClip as a robust solution for stable, large-scale LLM training.” arxiv.org/abs/2502.16982 https://t.co/ktbPwL97du
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