Every vibe-coding PM is baller until they are asked to take responsibility for maintaining that code.

#llm #ai #tech #softwaredevelopment

@WeirdWriter wrote this blistering counterblast to #LLM infiltration into our communities and how it undermines our confidence in our ability to create and do what we love. As well as the joy and care in community rebellion when it can seem hopeless.

sightlessscribbles.com/the-col…

Writers also need support, they'd like to eat and pay rent sometime this month. Especially as the market appears to be hostile to true writing that doesn't enforce the status quo.

Support:

sightlessscribbles.com/support…

The census sketch from SNL captures one of the central problems of LLMs perfectly.

"How long have you lived at this address?"
"...What do most people say?"

We never needed a machine to crowdsource our creativity, our businesses, even our identities. We're practicing parroting what others might want to hear instead of, you know, actual facts or personal truth.

What an inane way to flatten the human experience.

youtu.be/Rbuy4zxBoPk

#ai #llm #chatgpt #artificialintelligence

winbuzzer.com/2025/12/11/googl…

Google Releases Gemini 3 Powered Deep Research Agent to Developers via API

#ArtificialIntelligence #GenerativeAI #Google #GoogleAI #AgenticAI #DeepResearch #Gemini3 #DevTools #API #TechNews #Winbuzzer #LLM #MachineLearning #DeepSearchQA #OpenSource

Pluralistic: The Reverse-Centaur’s Guide to Criticising AI
By Cory @pluralistic Doctorow
— pluralistic.net/2025/12/05/pop…

Fantastic, essential piece on #AI #LLM #GenAI #art #work #bullshit #capitalism #bubble

If Cory didn't exist, we'd have to invent him.

(Via @manton)

Sensitive content Reveal/hide

AI/LLMs...

...from the same share-juicing corporate hype machines who brought you the Metaverse, Cybertruck, cryptocurrencies, NFTs, Google Glass, Google Plus, Google Wave, Google Buzz, 3DTV, Zune, Microsoft Bob and the Apple Pippin.

For example Meta's Metaverse cost US$46 billion to create and only has 200,000 active monthly users, so Meta spent $230,000 per user with no plausible way to make their money back. Why?

Corporations are not the infallible geniuses the media portrays, they are run nowadays just to juice their share price regardless of whether they have a viable product or long-term prospects.

#AI #LLM

This is a really excellent non-fiction piece by @WeirdWriter about a writing group with a tech bro:

sightlessscribbles.com/the-col…

It is a distilled essence of the social and cultural damage AI/LLM is causing, how AI promoters are cynically destroying people's confidence in their own humanity, while simultaneously trying to ridicule and other people who point out that AI is bullshit. (And this isn't even mentioning the environmental consequences.)

#AI #LLM

Process creates friction, so we got rid of process. But that friction was necessary for holding workslop at bay.

Because without slowing down, we can't ask "is this good? is this right?" We can only ask "when will it be done?" And that's a world where #LLM outputs will always beat people.

Fortunately, an "optimized" process moves slowly, because producing consensus is also a process. And that's #UXDesign 's opportunity to step in and reassert itself as a strategic role

productpicnic.beehiiv.com/p/th…

The myth of "no design process"

Process can add friction, but trying to get rid of friction by getting rid of process dooms design to irrelevance.

^{Pavel Samsonov (The Product Picnic)}

Mistral.ai had a major release: mistral.ai/news/mistral-3

Three smaller, dense models and Mistral 3 Large, a large mixture-of-experts model (41B active and 675B total parameters). According to the first benchmarks, this puts it in the same league as the best open models (currently all Chinese).

Mistral's release includes the base model, not just the fine-tuned version as it had become more common. Plus, they used an Apache 2.0 license. That combination will likely open up fine-tunes from the community and makes it more useful for companies.

Mistral 3 Large is not a reasoning model, but they mentioned that a reasoning version should be coming soon.

I didn't have the chance to try them out myself. For specific problems like German content, I personally found Mistral 2 Large (from 2024) still doing better than the top Chinese ones (DeepSeek, Qwen, Kimi, GLM), even if they otherwise are very capable.

Mistral 3 Large has been released here:
* huggingface.co/mistralai/Mistr…
* huggingface.co/mistralai/Mistr…

#mistral #ai #llm

mistralai/Mistral-Large-3-675B-Base-2512 · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

^{huggingface.co}

The People Outsourcing Their Thinking to AI

𝘙𝘪𝘴𝘦 𝘰𝘧 𝘵𝘩𝘦 𝘓𝘓𝘦𝘔𝘮𝘪𝘯𝘨𝘴

theatlantic.com/technology/202…

Version without paywall:

archive.is/oHoVO

#AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #tech #technology #BigTech #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

The People Outsourcing Their Thinking to AI

Rise of the LLeMmings

^{Lila Shroff (The Atlantic)}