AI news in context

Is AI viewed as “evil” in non-tech communities?. I’m sorry if this is a dumb question…. But some context here: I thought I was posting what I thought was a helpful suggestion when a bra size calculator website was off - there was a huge manual guide so the only easy thing in this day and age to do is… delegate it to AI, right? I’m mostly surrounded by a tech community and have been most of my life ( undergrad in C.S, masters in statistics, work as a data engineer) so I’m realizing I have a pretty narrow and sheltered opinion about it. I see the downsides of it ofc, and am actually majorly pro regulation, but I still see it has a helpful tool to enhance your. Community angle: discussion is centered on infrastructure costs

Anthropic’s Boris Cherny, who says engineering is ‘dead,’ says he is beginning to get sick of the term "vibe coding". Community angle: discussion is centered on developer workflow and labor impact

Anthropic officially launched 13+ FREE AI courses with certificates (Including Agentic AI and Claude Code!). Just found out about this and had to share because almost nobody is talking about it yet. If you are tired of paying for AI courses or getting hit with paywalls just to get a certificate, Anthropic (the creators of Claude) quietly dropped a massive library of completely free, official training modules. Yes, they actually give you an official certificate of completion directly from Anthropic once you finish. Here is the breakdown of what is available and exactly how to get it without spending a dime. What is in the course catalog? They have split the training into a few different paths depending on what you wan. Community angle: discussion is centered on developer workflow and ske...

Claude Code dropped /workflows. Anthropic quietly shipped /workflows in Claude Code 2.1.147 and it might be the biggest shift in how we build multi-agent systems yet. Until now, the pattern was: one main agent (an LLM) decides what sub-agents to spawn, holds every intermediate result, and plans the next step. The problem? Every sub-agent result re-enters the orchestrator's context. Spin up 10 agents and your main session pays a 'token tax' each time getting sloppier and more forgetful as the window fills. /workflows replaces the LLM orchestrator with code. You define a workflow.js file. Sub-agent outputs flow from one phase to the next direc. Community angle: discussion is focused on practical implications and community skepticism

Satya Nadella is reorganizing Microsoft around AI. Community angle: discussion is centered on cost and pricing

GPT 5.5 "secret sauce" is just having the thinking be some stupid caveman mode?. I think I had GPT-5.5 leak its trace during a normal conversation, and it really reads like the caveman mode fad from a few months back. Maybe we can achieve better token efficiency by taking some high-quality thinking trace from an open model, "caveman-izing" it, and fine-tuning on it. Here is the full log of GPT-5.5 going insane: EDIT: Ok people I got it the first time. Community angle: discussion is focused on practical implications and community skepticism

Hot but correct take - deterministic processes will ALWAYS beat AI/neural networks. There was a paper recently about how if you tell a neural network to play a game, it'll do ok. If you designed a deterministic decision tree to play the game, it will dominate that neural network. In fact, if you tell the neural network to write that decision tree, the neural network's decision tree will dominate the neural network. This is a universal rule. A deterministic decision tree will always dominate AI/neural networks. The only reason AI wins at some things, like Go, is because computers don't have the power to make that deterministic decision tree yet. Once they do, they'll beat AI at Go and any othe. Community angle: discussion is centered on benchmark quality

They created AI nudes that got millions of views online. Now they're being charged with crimes. Community angle: discussion is centered on privacy and data use

If you use the "Get Shit Done" (GSD) AI tool, you need to migrate immediately (Original creator rug-pulled). The original creator of get-shit-done abandoned the project, pulled a crypto scam with the associated token, and disappeared. The community has forked it to get-shit-done-redux and done a security sweep. **Uninstall the old NPM packages immediately**, as the scammer still has publish access and could push malicious updates to your machine. # What happened? A `$GSD` crypto token was launched alongside the project, and once enough people bought in, he executed a classic "rug pull"—draining the funds, deleting his social accounts, and abandoning the codebase. another news about: # The Security Risk Because the cr. Community angle: discussion is centered on local and open-source alte...

The bubble is slowly popping, investment isn't able to keep up. the investments are not keeping up with the demand, starting with open ai shutting sora and claude being absurd with their limits, it's slowly becoming very clear that the cheap commodity we use everyday is slowly showing the side effects of being overvalued and running purely on speculative investments. VC money is clearly unable to keep up with the growing consumer demand and I'd say enjoy your fill of cheap ai tokens or free usage and make the most of it asap before it becomes unaffordable or the premier models become inaccessible. If anyone thinks otherwise, prove me wrong. Any unique thoughts on this? EDI. Community angle: discussion is centered on skepticism about hype