Looks like Kimi K3 went in the direction Llama did with their license. > $20M in revenue for "Model as a Service" usecases requires a commercial license. Also if you have more than 100M MAU you have to prominently display "Kimi K3" 😂.
Nish Tahir
@nishtahir.com
Principal Engineer (AI Research). Anti-hype. My opinions are my own. I try not to be, but I can and will be wrong sometimes. Blog: https://nishtahir.com Mastodon: social.nishtahir.com/@nish
Why has software gotten worse? I think it's because with AI dev's don't have to refine ideas as much anymore. Constraints meant that they had to make choices really count. But now the cost of those choices are basically free. So uses get fed every bad idea they think of. ptrchm.com/posts/nothin...
Nothing Works and Everyone Is Euphoric
As I’m writing this, we’re in the middle of an AI-induced mass psychosis. People are literally token-maxxing themselves into hospital beds, scrambling to capture some of that market value before every...
ptrchm.com
I haven't seen anyone talk about this from the recent Meta layoffs suit, but this is a very interesting expectation. Source: www.courthousenews.com/wp-content/u...
Frontier model providers are gradually rendering themselves obsolete as a result of their own hubris. Open models are catching up rapidly and are quickly establishing their own utility. huggingface.co/blog/securit...
The better coding agents get, the lower the floor is for abuse. Script kiddies have gotten a massive upgrade in their tools that potential targets aren't ready for. www.helpnetsecurity.com/2026/06/17/a...
Low-skilled attacker used Claude, Codex to breach 14 companies - Help Net Security
Researchers have long warned that AI agents could lower the skill floor for offensive cyber operations, and a recent report bears that out.
helpnetsecurity.com
Got access to Attie. Looks a lot like agent driven search. Natural language tell it what you want
Since people are paying more attention to costs and usage limits. You don't always need the biggest models for everything, smaller local models are pretty intelligence dense and more than capable of a lot of complex tasks vickiboykis.com/2026/06/15/r...
Running local models is good now
Local agentic coding has gotten great over the past few months
vickiboykis.com
I've seen a few posts showing Fable unable to count, after testing them myself I'm inclined to call them fake news. Strawberry (adjacent) mispelling tests on low and high
Lol Fable's token burn is real. I've only been using the Chat to evaluate it and 1 prompt/completion has been ~5% usage.
I'm gradually switching up my local stack to lemonade - here are a few notes. I use Open WebUI as my frontend the docs provide good guidance on setting up lemonade server. However if you use/want task models, you need to set it up to load multiple models at once. max_loaded_models in config.json
For local hosting, lemonade server has gotten so much better. They have a pretty good model management UI.
One can only hope that constant rug pulling encourages more people to try and use open models. While they aren't Opus, top tier models are more capable than they have ever been. venturebeat.com/technology/a...
Anthropic reinstates OpenClaw and third-party agent usage on Claude subscriptions — with a catch
If an agent is inefficient and burns through tokens, it simply drains the user's new $20 to $200 Agent SDK credit budget faster, rather than exceeding the value of Anthropic's fixed monthly subscription tiers.
venturebeat.com
New mini shai-hulud with a dead man's set to trigger if the user revokes the compromised GitHub token. Acts as a true worm enumerating and publishing a compromised package to any packages the compromised target has access to.
TeamPCP's Mini Shai-Hulud Is Back: A Self-Spreading Supply Chain Attack Compromises TanStack npm Packages - StepSecurity
The Mini Shai-Hulud worm is actively compromising legitimate npm packages by hijacking CI/CD pipelines and stealing developer secrets. StepSecurity's OSS Package Security Feed first detected the attac...
stepsecurity.io
I do not understand how despite ever improving tools and technology, (IVR) Interactive Voice Responses just consistently gets worse. Trying to get a human agent is like navigating a labyrinth where 1 wrong response sends you back to the beginning.
I've moved my local usage to qwen 3.6 35b and it is fantastic. The primary issue right now is inference is slow but it is very usable. My usecase today was working on an electron app for myself and it has been working fantastically even with moderately vague prompts
The limits on the Claude Code Pro plan render it practically unusable. It feels more like a paid demo than an actual product.
The "but you don't look at compiler outputs" argument needs to go away. They are not the same and saying they are the same is like comparing weighted dice to a calculator. Compiler outputs are computationally provable. At least for now, LLMs are not. skiplabs.io/blog/codegen...
Treat Agent Output Like Compiler Output | Skip
Why our discomfort with AI-generated code reveals exactly what we haven't built yet, and what the compiler analogy teaches us about trusting coding agents.
skiplabs.io
Trying Claude design for the first time and unfortunately this has been my entire experience. Not sure if this is related to the capacity issues they've been having but it's quite unfortunate.
In response, Hermes agent users all simultaneously renamed to EXPENSIVE_HANDBAG.md github.com/anthropics/c...
HERMES.md in git commit messages causes requests to route to extra usage billing instead of plan quota · Issue #53262 · anthropics/claude-code
Summary When a git repository's recent commit history contains the case-sensitive string HERMES.md, Claude Code routes API requests to "extra usage" billing instead of the included Max plan quota. ...
github.com
My local LLM setup designed for low maintenance. GMKtec EVO-X2 (AMD AI Max 395+) 128GB, running Docker containers with Ollama and OpenWebUI. Web UI acts as an OpenAI compatible proxy so other machines can reach models over the network.
"Wait... Are your trying to turn a language model into an RNN?" Yes... Yes I am
Got inspired to take a crack at this. Interesting problem that seemed like fun. I spent a few hours working on it. Mostly just haphazardly throwing stuff together.
please do!! my main reason for doing this is that it seems that nobody else has really tried it and I'm far from a professional in the field so I'm definitely making lots of blunders as I go and would love to compare notes with someone else
The best way to build up a new skill set is to work on projects. I write about 5 projects to build strong AI engineering competency. nishtahir.com/5-projects-t...
5 projects to build your AI engineering competency
I've spent the last 2 years building and interviewing candidates for AI Engineering roles. So I've been fortunate enough to watch the career track evolve from being a fringe amorphous role fueled by h...
nishtahir.com
I was under the impression that linkedin is effectively a dead social network. Yet I was at an ML conference this weekend and heard more "Add me on LinkedIn" than any other method of communication.
I've been enjoying #PokemonChampions. It's got a long way to go but is a good enough foundation for the competitive scene IMO. This is the team I've been running. Not sure how I ended up with 4 fire types but, oh well.
If you haven't already, I encourage taking a look at the Artemis II crew photo gallery. Many of those views have never been seen by human eyes until those moments. www.nasa.gov/gallery/luna...
Artemis II Lunar Flyby - NASA
The first flyby images of the Moon captured by NASA’s Artemis II astronauts during their historic test flight reveal regions no human has ever seen before—including a rare in-space solar eclipse. Rele...
nasa.gov