#AI #llm #codeagents
Why many people here hate AI and their chatbots so much?

The code agent is helpful for me for coding and troubleshooting and accelerate the process a lot and decrease the manual work. It has lots of mistakes, but it is adjustable and is a tool that can work or not like other solutions that we normally find by searching.

The general chatbots also are another good source of information and learning. It definitely contains lots of misinformation, but like lots of other internet sources and media, it should be checked by searching carefully about the information that it give you. And like other softwares that collect data, one shouldn't give personal information to it. There are lots people already believe anything social media feed them without searching it or questioning it. These misinformation spreading happens between people talking to each other as well

So I don't get why people of here hates AI technology so much? It's a new technology and is still adjusting

After a routine code rejection, an AI agent published a hit piece on someone by name https://arstechni.ca/LK8w #machinelearning #AIcriticism #codeagents #opensource #vibecoding #agenticAI #AIagents #AIcoding #OpenClaw #Biz&IT #AI
OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

OpenAI's new GPT‑5.3‑Codex‑Spark is 15 times faster at coding than its predecessor.

Ars Technica
Sixteen Claude AI agents working together created a new C compiler

The $20,000 experiment compiled a Linux kernel but needed deep human management.

Ars Technica
AI companies want you to stop chatting with bots and start managing them

Claude Opus 4.6 and OpenAI Frontier pitch a future of supervising AI agents.

Ars Technica
OpenAI spills technical details about how its AI coding agent works

Unusually detailed post explains how OpenAI handles the Codex agent loop.

Ars Technica
How OpenAI is using GPT-5 Codex to improve the AI tool itself

“The vast majority of Codex is built by Codex,” OpenAI told us about its new AI coding agent.

Ars Technica
Anthropic’s Claude Haiku 4.5 matches May’s frontier model at fraction of cost

Tiny, fast model hits coding scores similar to GPT-5 and Sonnet 4.

Ars Technica
Anthropic says its new AI model “maintained focus” for 30 hours on multistep tasks

Latest Claude model beats OpenAI and Google on coding tests.

Ars Technica