broadfield-dev

LLM APIs need to return cost information in their response alongside tokens literally everyone is using models[dot]dev data to approximate this - we see so many reqs to its api but this is just sticker pricing, won't reflect discounts, etc so it doens't really work

@Polymarket one-shotted by the sentence completing God x.com/AnthropicAI/st…

JUST IN: Bill Gates’ foundation dumps the last of its Microsoft stake.

@teortaxesTex I think they still have tunnel vision on AGI, where the model can see and hear and smell and draw pictures. It probably has something to do with God or religion.

> But 24 months ago, AI training required 100 megawatts. Today the minimum is 1 gigawatt. What does this even mean? What is the qualitative transition unlocked by "a gigawatt of compute"? Batch sizes in the high billions? Do we even know how this stuff converges?

@deedydas Serious wealth transfer moment from investors to idea guys. Idea, let's give ____ away for free. annnnd, set

The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation). Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there. Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI. As a result, 1. The corporate ladder looks like the wrong building to climb. Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more. 2. There’s a deep malaise about work (and its future). Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire" 3. The mid to late middle managers feel paralyzed. Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies. 4. The rich aren’t particularly happy either. No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money." I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here. Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success". Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.

@Polymarket zombie virus or not interested

BREAKING: First case of Hantavirus confirmed in the United States since the outbreak.

@Austen I can't believe people raise millions of dollars for things like this. It's going to be 99% synthetic data that anybody can produce.

The site design, fonts, colors, and illustrations are all different. They’re generic websites. What are we even talking about?

Startup Twitter needs to realize something: Someone else starting a company in a similar space to yours is not copying you. You don’t get to claim an idea and be perennially free from competition.

@mcuban My agent harness averages around $0.10 per million tokens. I'm not willing to subsidize skill issues.

We should federally tax Tokens at the Provider level. Not a lot. Less than 50c per million tokens. It will accomplish 4 things (at least ) 1. It will push the big AI players to optimize tokenization, caching , routing and localization Which will 2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption Which will 3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x Which will 4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally. Thoughts ?

@jpschroeder @thsottiaux It's all loss, but the you can't train a new model without new user data.

@thsottiaux Out of curiosity, how much does a reset cost the business on average?

We found and fixed two issues that could explain this degradation of the capability of GPT-5.5 in Codex over the last ~ 48 hours. We are monitoring over the coming hours to fully confirm and I will reset usage limits this evening. Apologies and now is the time for /fast maxxing.

@tszzl If the creators of the data that is being sold in the form of tokens are reimbursed than it's just capitalism.

it does seem that this time, unlike others, it is fair to characterize it all as ‘late stage capitalism’

@pmarca Ample funding retards innovation. The corporate LLM's are bloated and inefficient.

Interesting.

4-bit pretraining with matched accuracy to 32 bit

It's ridiculous, not a mistake though.

@0xSero Surely this will result in a lot of false positives. If it actually worked, use it to label that content automatically.

X’s new algo punishes AI slop content.

@kalomaze Need a constant stream of new user data to make better models.

once you realize that their money lives predominantly in enterprise & the API, you realize that the consumer product heat they get on here is ~mostly void yelling honestly controlled consumer growth is what they want atm, they almost certainly can't handle OpenAI's consumer MAU

@tekbog Wait till they sober up and realize they haven't even built Artificial Intelligence yet.

not much talk about AGI anymore a lot of talk about IPOs and b2b sales i guess superintelligence is no longer as scary as the lack of revenue

Maybe there is a paper published on it somewhere.

Sort of shocking that the model can understand code files as kv paired json strings as easily as it can understand code as text.

@elonmusk @beffjezos Eventually, all of the models will be the same, so being "best" is becoming less relevant.

@elonmusk @beffjezos The formula for the best model is: Be the company to lose the most money while attracting the most user data.

Impressions so far: Grok Build interface is actually really nice. Now as soon as xAI has a SOTA model, it could very well become competitive with Codex / Claude Code overnight

Moses grew up in Egypt, raised by a Pharaoh, wrote about creation. Never mentioned the Pyramids.