The core of the information they present isn't much different than what you'd hear on Dwarkesh or other industry podcasts, the presentation is some weird mix of ESPN and Mad Money that I personally don't get, but maybe makes sense to a US audience.

I don't see why that is interesting to OpenAI, but maybe I'm missing something.

I didn't go for a Max chip because I value the better battery life on the Pro more than I value the additional GPU cores.

Personally, I think until the LLMs start to plateau, it will always be more valuable to run a frontier LLM vs just a very capable local LLM. I have no idea when that will happen, so I simply decided to not overbuy the hardware now.

Because it's most likely in the training data. I.e., it stole it for you.

This commonly expressed non-sequitur needs to die.

First of all, all of the big AI labs have crawled the internet. That's not a special advantage to Google.

Second, that's not even how modern LLMs are trained. That stopped with GPT-4. Now a lot more attention is paid to the quality of the training data. Intuitively, this makes sense. If you train the model on a lot of garbage examples, it will generate output of similar quality.

So, no, Google's crawling prowess has little to do with how good Gemini can be.

Worktrees and parallel agents do nothing to help me with that. It's just additional cognitive load.

At least for my use, 200K context is fine, but I’d like to see a lot faster task completion. I feel like more people would be OK with the smaller context if the agent acts quickly (vs waiting 2-3 mins per prompt).

> Build context for the work you're doing. Put lots of your codebase into the context window.

If you don’t say that, what do you think happens as the agent works on your codebase.

Bank tellers

Travel agents

Cashiers

Bookkeeping clerks

Typists

Without it, the site would suffer a slow and painful death in the SERPs and would lead to about 10MM annual loss for the company.

Starting from scratch with a proper, qualified team was not possible for political reasons.

So, being able to do it as a single person, with heavy AI assistance, is a huge win.

I hope that I am wrong, but, if I am not, then these companies are doing real and substantial damage to the internet. The loss of trust will be very hard to undo.

For more than a year, Anthropic has engaged in an extensive guerrilla marketing effort on Reddit and similar developer-oriented platforms, aiming to persuade users that Claude significantly outperforms competitors in programming tasks, even though nearly all benchmarks indicate otherwise.