postalcoder

It was a good blog post yes, but I think you’re underplaying the bannister effect of Anthropic coming out and endorsing glm 5.3’s cyberattack prowess.

Yeah IIRC calif research on php2shell preceded all of that but I still stand by the thought that Anthropic has been the most accelerationist AI company despite its lip service to the notion of safety.

I feel like these breaches started to accelerate after Anthropic wrote a full post about how easy it is to abliterate glm 5.3 to make a frontier-level cyber model.

Now, to be clear, abliteration was no state secret, but that blog post was pure accelerationism.

You're not convincing me. The war for compute within google is well known by now. Every single product decision stems from that.

Do you really think people in google are happy about how long it took to release this model?

Announced the model two weeks ago to a ton of hype, model was unavailable for anyone to try. On twitter, Google folks went on a great run taking shots at Muse ("Muse who?"). The hype died down bc nobody could touch the models and meta/muse came out with a similarly capable model in the meanwhile.

At the same time, OpenAI had a disastrous dev day that led a lot of users to jump ship to Claude.

Couple weeks later, Gemini-4-argon is still unavailable on anything less than the ultra tier, which means there's no natural funnel to get ppl to pay for the more expensive ultra plan other than "trust us the model is good".

If Google had argon broadly available earlier this month they would have picked up a ton of new users.

It's obvious OAI hillclimbs the image generation -> SVG loop. I'd put money down on that being why OAI's pelicans have a yellowish tint that matches the yellow tint of OAI's earlier image models.

I'm using this model via API. I am most excited about its ability to write the english language (or any language). My least favorite trend on twitter has been people posting 2D illustrations/3D renders as a proxy for model capability. Well-written prose is far less likely to go viral but far outstrips the importance rendering a fantasy world in one shot.

I've been trying it out via the API and the model has been a delight so far. Clear in the head, not RL-fried, distinct writing style, and big model smell. That said, the em-dash is back w/ this model.

That said, I would be so frustrated with Sundar Pichai if I was on the Google team. The botched rollout of this model seems to be entirely a matter of capacity, and Pichai has been more than happy to give it to anybody but his own team.

The overwhelming cynicism about this product I'm seeing here on HN tells me it's going to be a hit.

Looks like this is not an open model. I'm curious how the sentiment toward chinese models will shift as labs trend toward keeping them proprietary.

Also, I wonder if this is at all related to the recent reports that Harvey has been getting squeezed on margins by the US labs.

What a f-ing nightmare. It's stuff like this where I start to understand Apple's stance on right to repair. How do you maintain hardware security without strict provenance over every component in your device?

Most institutions (especially financial) have strict document retention policies to protect themselves from situations like this. It's not shady – just a way of limiting liability.

At my first job I made the mistake of discovering a cache of old documents, documents that were far older than the company's seven-year document retention policy. The cache, being my discovery, meant I became the one responsible for destroying it. It was dozens on dozes of bankers boxes filled with documents that I had to de-spine before shredding.

You would have thought that the process was a chore but for me it was exhilarating. The slowness of the process gave me the opportunity to speed read through it all. There was nothing scandalous in there, but I became somewhat of a historian over many quiet nights.

Since this is for the mac you really should be using apple's vision framework for OCR. It smokes tesseract in both speed and accuracy.

Edit: I'm curious which LLM was used to generate the code. I fed the title of your post to claude/deepseek/qwen/codex asking to recommend a stack for this project, expecting to frown thinking that they still recommend tesseract. However, I found that they all recommend apple's vision framework. In fact the latest model to recommend Tesseract is gpt-4.1.