llmslave

Too much backstabbing from legacy employees inside amazon to allow for grassroots innovation. Good work will get stolen or stamped out by coworkers. Vicious employee base intent on collecting their paychecks

arguably the meeting overhead is actually just people trading domain knowledge. an ai agent can go read their whole code base instead of having that meeting. its not clear how all this shakes out

Alot of people with legacy knowledge that pitch in sometimes, but are mostly blocking others work/playing politics all day

Or they wont stop talking in meetings, but produce no real work

Are knowledge graphs still relevant? Agents can grep and fetch on a unix operating system with higher accuracy

opus 5.5 is a step change, you arent using the models enough if you think there is a slowdown

Blatantly obvious that models will not slow down. For any task, if we can build a dataset or environment of verifications, it can be automated. This will eat all of human tasks.

The fact that multiple companies can breach any benchmark means there is no ambiguity in terms of how to build AI, its just a matter of time.

Certainly Meta and Google are benchmaxxing to please public markets, but it still proves the above

Fable 5.1 is better than most engineers if prompted correctly

Amazon is so hopelessly behind in AI, nothing they produce aside from cloud infrastructure is actually good

The big threat to AWS is that coding agents dont need all of their complicated infrastructure, which was built for humans. Agents can use low level primitives, i.e. just a raw server

question is if they ever let the general public access borderline AGI

Amazon cant hold this off for the long run, nobody wants to scroll through a list of two hundred near identical packages of toilet paper. Agents will intermediate, and they will remove demand for low value items

I strongly believe that the real Fable is the one we had for a few days in June. Then they nerfed the model a bit after the government pulled it off the market. What we have now is something less, but still good

unreal that they are still doing it too

US policy:

1. print money

2. suppress wages by shipping in cheap labor

3. reassure the population you arent doing the above

please keep thinking this so i can relax with my automated job

At work I setup a cloud worker, where i can spin up as many concurrent agents I want, with unlimited fable 5.1 (thanks employer!!).

I now just work from my phone, and speak into the agents as they run. I dont write code and I dont write documents. I work on very complicated distributed systems. I dont open my laptop most days. Its a legacy brick I carry around.

Some of my coworkers are still doing things by hand, and are working long hours to produce 25% of the output (when considering hours worked). I stay quiet with my setup. We are in the end times for this job for the people that can see clearly how to automate their own job

Buying this immediately and getting rid of my laptop, going full AI native to do all my work. Never sitting in front of a laptop again.

And as a result, we must block China!!!!

I mean like an ai agent doing some sort of HR work, not a coding agent. Very few businesses are trusting an autonomous agent.

I keep saying this and people dont believe me, but I have b2b saas systems with actual agents running around the clock, and the performance/stability of the flash model is higher than most other models.

Meaning, its predictable with tool calls, wont spin off a million tools/do weird behavior, its reasonable. Even sonnet in a real world decision making scenario is not reliable, or will reason so long its incredibly expensive.

The benchmarks arent catching all the value, and most people have never actually ran an ai agent in a real context that matters

Bootstrapped companies make more sense now

some of the tool calling is better, its better at knowing how to use a sequence of tools in a real world scenario. things like glm 5.2 will spam tool calls like 100 times. gemini model will just use the tools as you would expect

im always convinced people with takes on the open source models have never actually used them in a production agentic system

i have found google models outperforming other models in actual agentic workflows

it seems cheap for what is borderline AGI

200 bucks a month?

haha i outsource my thinking to the smartest model

i trust anthropic/openai with my data far more than some random startup.

yeah but why waste your time on these models, just use the one that gets the better results

ive just got better things to do with my life than fuss with an inferior model. its like why hire a dumb employee over a smart one

all the open source models are a waste of time relative to the bleeding edge from openai/anthropic

These models are never as good, the benchmarks dont tell the full story