mikert89

the value from bankers comes from relationships, sales, and their weight in doing a good IPO. its not about hours worked

you want me to post their name?

I still think regular people, and markets, have not caught onto the implications of superintelligence. Its happening, and the tech oligarchs have seen it behind closed doors

Spoke with a banker at a well known investment bank in NYC last week. They told the law firm they want the fees cut in half or they walk. This is to a top 5 law firm. Lawyers are trying to charge the same prices, when both sides know they are working half the hours. This is even at the most premium top end, where an engagement bill can run up to 30 million.

these models are trash

just go use the models on a creative endeavor

you probably aren’t using the models to their full capacity if you don’t notice the difference

i use open weight models all the time, whenever a noteable one drops i will use it for the day, they are not even close for involved work.

the creative and "big picture understanding" of anthropic models are noticeably ahead of openai. external models are distilled representations of internal models, its clear who is ahead

open weight models are so far behind i cannot take your opinion seriously

i would say its industry consensus at this point. the creative output of the anthropic models is far ahead of openai. the benchmarks cannot capture the difference

its likely they are trying to catch up to anthropic, and in doing so are trying riskier training runs.

opus 5.5 > fable 5.1 >> astra

astra is a good workhorse, but its much less generally intelligent

im not sure why more people arent calling it out.

have you tried opus 5.5? anthropic is way ahead, atleast in terms of publicly available models

It seems like anthropic is far ahead of openai, and has no reports like this. We have to conclude this is a skill issue/engineering quality problem inside openai.

just because they are a well known name, doesnt mean they havent botched hiring over the last two years or so

easily the biggest deal in these fields for a while, and all we get is complaining

please no more doomer talk, can we just be excited that we have ai doing science

Ai native is only a term for the present moment. There is still skill in using ai. We are fast approaching where you ask the ai, and it does the task, there is no wrangling it

Yeah this website is almost unreadable

As the model gets smarter, you need to tell it less

you just have to take the software to a higher level of abstraction... software that builds software. its different, but the tinkering is very much there, its just a massive paradigm shift

likely they sold all the gpu capacity to enterprise clients

its the opposite, i can build far more and get stuck much less

I think Java took all the best features of kotlin

When you’ll have tons of low skilled devs contributing to an important but boring application that will last a while

theres also a decent chance that AWS itself is vulnerable to AI agents that dont need complicated cloud platforms the way humans do

some ivy league grad with no real world dev experience waved this on

Once Chinese ai can run on 50k priced GPUs and match current models, people will have these running from bunkers. There’s no stopping it

this is a short term problem, over 20 years benchmark gaming will be a blip