HNHacker News
TopNewBestAskShowJobs

mips_avatar

2,866 karma · joined June 3, 2018

Me@jonready.com

Currently working on wanderfugl.com

submissionscomments
mips_avatar··on If Claude Fable stops helping you, you'll never know
Given that Anthropic has never released anything open weights I wouldn’t count on the fact that they view finetuning Gemma 4 as something allowable. I think they think nobody other than Anthropic should have AI
mips_avatar··on If Claude Fable stops helping you, you'll never know
Margin compression is terrifying
mips_avatar··on If Claude Fable stops helping you, you'll never know
Thats exactly it
mips_avatar··on If Claude Fable stops helping you, you'll never know
At least it gave an error! This whole silent nerfing idea is so wrong
mips_avatar··on If Claude Fable stops helping you, you'll never know
Fine for me. Not for thee
mips_avatar··on If Claude Fable stops helping you, you'll never know
Like if you hired a different services company who decided to sabotage your business that would be fraud.
mips_avatar··on Claude Fable 5
Like if you're using claude code on a feature tangential to your training pipeline it's allowed to nerf itself and damage your AI work.
mips_avatar··on If Claude Fable stops helping you, you'll never know
I'm really uncomfortable with these changes, like everything Anthropic's doing as "frontier research" today will be regular product engineering in a year.
mips_avatar··on Claude Fable 5
They said in their terms and conditions they will silently sabotage you if you do this.
mips_avatar··on Claude Fable 5
It's bad that Anthropic can determine what this means. If you're building a modern app you're likely training your own embedding models and now anthropic can just silently sabotage your training pipelines?
mips_avatar··on Apple Core AI Framework
Seems like they still won’t let you run models on GPU while the phone is closed or the user switches apps
mips_avatar··on Gemma 4 12B: A unified, encoder-free multimodal model
I don't think we've bottomed out on what we can do with embedding models. They're these tiny models that absolutely rip on modern cpus with 8 bit int optimizations. Like in my app we can say pretty definitive things about hundreds of millions of places in the world on retrieval tasks on regular hardware.
mips_avatar··on A walking tour of surveillance infrastructure in Seattle (2020)
Still somehow was "impossible" for the Seattle police to recover security camera footage of my bike being stolen under the light rail station security camera.
mips_avatar··on OpenRouter raises $113M Series B
I spent two hours the other day trying to figure out how to manage spend on gcp, i gave up and used openrouter and cloudflare.
mips_avatar··on Uber’s COO says it’s getting harder to justify money spent on tokenmaxxing
There’s a lot of places where an llm can improve a data pipeline. Like if Claude sonnet was free I’d do a lot of data enrichment.
mips_avatar··on I returned to AWS and was reminded why I left
They have to do that because their pricing is bad. Like if you want to run a custom vector db you can run it 20x cheaper on hetzner than aws.
mips_avatar··on Train Your Own LLM from Scratch
I trained karpathys d28 1.6b nanochat on a 3090. Took an extremely long time but I did it.
mips_avatar··on Train Your Own LLM from Scratch
You can fully train a 1.6b model on a single 3090. That’s a reasonably big model.
mips_avatar··on Windows quality update: Progress we've made since March
Microsoft is trying to sell things like extended servicing agreements. They purposefully make Windows worse so they can sell you solutions to fix it. They purposefully keep it insecure so you need their updates. It’s about taking the customers hostage.
mips_avatar··on If America's so rich, how'd it get so sad?
I think if modern LLMs were invented in the mid 2010s it would have been promoted in more positive ways, but because everyone is afraid for their economic security saying scary things gets more of a response. I think it's kind of gross that it's a race to scare ordinary people and especially Dario Amodei should feel kind of ashamed of himself.
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
It's the same problem as fireworks, the only models supporting LORA are like year old dense models that perform horribly on most tasks. If you want to do anything close to relevant you still need to rent/own dedicated GPUs, which seems insane to me when vLLM fully support dynamic LORA loading.
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
Maxes out around 4K tok/s output. Each pair of 3090s has its own instance of the model with parallelism across the nvlink bridge. Though nvlink is only 2x over pcie5
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
Yeah the model i'm running locally is just one of several models the app supports and it falls back to others if not available.
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
I haven't benchmarked against a pro 6000, it's more that i have 4 3090s and i don't have a pro 6000.
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
I think these gpus were actually used for bitcoin mining before I bought them
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
4 3090s with nvlinks on each pair. Super fast inference on Moe models around 20-36b
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
with Argo networking
mips_avatar··on Cloudflare's AI Platform: an inference layer designed for agents
So it's basically just openrouter with cloudflare argo networking? I feel like they could do some much more interesting stuff with their replicate acquisition. Application specific RL is getting so good but there's no good way to deploy these models in a scalable way. Even the providers like fireworks which claim to let you deploy LORAs in a scalable way can't do it. For now I literally have to host base load on my application on a rack of 3090s in my garage which seems silly but it saves me $1k a month.
mips_avatar··on I'm glad the Anthropic fight is happening now
He's roommates with an Anthropic researcher, I was roommates with a Google product manager I don't think I'm really bought out by Google.
mips_avatar··on Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon
Well it’s just more that I’ve noticed in the agents I’ve built that qwen doesn’t get reliable until around 27b so unless you want to rl small qwen I don’t think I would get much useful help out of it.
← PreviousPage 4 of 25Next →