LLMs remind me a lot of spellcheck and diffusion image generation models remind me of clip art. Clip art seemed like a pretty big deal in the 90s, and slowly seemed to go away, though I'm not sure why. Maybe it was the rise of Photoshop and Indesign editing tools.
Either way, I definitely love hate the ChatGPT flyers. They will at some point be looked back on as a dated ugly format, and later as a curiosity and finally someone will collect and save them years from now.
Anthropic is actively manufacturing scarcity of it's models to drive up their prices and prevent harder benchmarks showing how close the open weight models are to parity.
Hmm, I'm surprised it would be so much delayed. The current open weight models already feel mostly caught up.
Additionally, I didn't see mention of China's much cheaper electricity and subsidies for companies to build out on Huawei. It will be interesting to look back in six months to see how many of the h200s of their allotted amount do end up being purchased.
When Yeeun Jo, a student at University of Illinois at Urbana-Champaign (UIUC) contacted me in 2025 to ask about data tracking in app advertisements related to women's health and pregnancy I was a bit skeptical.
Given the FTC’s subsequent 2021 crack-down specifically targeting Flo Health for passing intimate logging metrics to Facebook and Google. I thought it was unlikely they'd find much.
Well, it's a year later and I was wrong.
Jo & Reaves found mobile apps and mobile ad networks were still tracking health data.
Their paper shows the high specificity which these events are tracked ...
Rest of my blog post & AppGoblin links (to see which apps using which ad networks currently) to the apps in paper:
I believe the comment you replied to was talking about the cost on providers like OpenCode vs Deepseek API. Deepseek API is even cheaper than the other providers for the same deepseek models.
OpenAI, though they seem to backtrack it lately, have been slowly pushing forward of their launch of ads which would be a supplemental way to support cheaper use of their models. This is currently not as great a fit as the modern day banner ads, but it will be interesting to see where they go with that.
True, outside of the dark tactics I imagined in the article, they will have to compete at lower costs. It's just that the current iteration does not feel cost competitive yet.
I think using open weight models will solve this. I believe they are nearly caught up and much of the gains are in the harnesses or properly orchestration of subqueries. (I'm no expert, just my opinion).
When the open weight models catch up, if they don't get lobbied and banned by OpenAi and Anthropic, then you'll be able to use them to properly secure your software.
I feel like Framework really missed this boat with their desktop PC they released last year. They could have used that + a gamepad to have captured so much of this.
"Enough people have asked me about the Peter Thiel-Dialog story that I think it's worth saying what it is, or at least what I saw it to be. So:
–Dialog is a conference. I went once in 2018 and once in 2022. No one ever asked me to keep it or my presence a secret.
–My understanding was Thiel was one of its founders but no longer involved by the time I went. I never saw or talked to him in connection with Dialog.
–Nor did I see the other names I’ve heard mentioned, like Ted Cruz or Elon Musk or Joseph Gordon-Levitt or Jared Kushner. Dialog was not sold to me as a bunch of big names, which is part of why I went. I don’t need to go to a conference to hear what Ted Cruz thinks.
–You could be a Dialog member, but I wasn’t. I don’t think joining got you much except guaranteed invitations to future Dialogs. There were occasional dinners and webinars, but I never went to one. I would not have described it as a secret or a society.
–The panels were largely self-organized, so people would propose panels and hold them. I went to one on being a working parent and another on whether crypto had any real use cases and another on how to accelerate scientific breakthroughs. You’d usually have 8 or 10 people in a room. It was all very TED-talk adjacent.
–In 2018, I found it very optimistic, with an idealistic hacker-ish vibe. In 2022, I found the conversations and vibe more curdled and resentful. I didn’t enjoy it, and I didn’t go back. (That did prove a pretty good signal of where tech’s politics were going though, maybe I should’ve paid more attention.)
I was referring to the US government buying a 10% stake in Intel and the ideas being floated of further investment in Intel and other companies by the Trump admin.
It's interesting to see an AI company need to pivot so hard in order to find revenue. I guess this means there is very little easy money to be made as more and more models get created, shared and downloaded by others.
The US is slowly becoming more like China. From talks of nationalizing companies to make US state owned entities to banning foreign competition. It's just so strange how you become the thing you fear.
Wow, thanks for sharing that maps. Looking at the satellite is wild. It's all roads and parking lots, barely any buildings. Even if you did fix the massive road infrastructure, what would they do, give the land back to businesses nearby?
Unpopular take I know. But ads are a source of revenue for much of the free and open internet. The alternatives are paid features that are a regressive tax on poorer people who can't afford them or fork up larger amounts of their discretionary budget.
While popups and bad ad practices have always been a problem, it's sad to see that they became so bad that the response to them is to paygate web content. More and more sites are locked behind paywalls.
I recently switched to the opencode $20 a month plan and am also testing the $5 a month go plan to see if that works. Connected into MiMo or DeepSeek Zen seems to code all day.
Free Mobile App ASO & SDK Analysis: https://appgoblin.info
Open Source Mobile Attribution MMP: https://openattribution.dev
meet.hn/city/tw-Taipei
Socials: - linkedin.com/in/jamesoclaire - github.com/ddxv
---