considering i read a good article about axios editors inside trading the iran war, this makes sense it appears axios is the source of this https://www.axios.com/2026/05/28/ai-spending-roi-enterprise-costs, article about axios https://www.salon.com/2026/05/09/axios-accused-of-market-manipulation-with-iran-reporting/

The paradox of promotions based on performance in a previous roll is that you end up with incompetent managers unable to move upwards anymore.

Because this system rewards incompetence as long as it comes with dark triad traits and a heaping dose of nepotism.

You send the entire history for that conversation every time and likely more if its getting info from tools. If its not in the context the model dose not see it unless you have a memory system that dose something like feeding in summaries of past conversations that also takes up tokens and context. Rolling drops old messages to not reach context limits but you can lose important info or get odd results. If the history gets bigger than the context things break or slow way down.

Most agent harnesses do something called "compaction." For example, here's how Pi does compaction

does it give the full history to the LLM each time?

It's limited to the context size supported by given model. You can give the model 100k tokens of history but if it's configured for less, it will just truncate it before processing (usually by removing oldest tokens first)

Love to see reality setting in.

yep. everyone at mine was being praised for creating an agent that turned meetings into JSON and then the JSON into Asana tasks and the Asana tasks into a report and the report into an internal and external email and the email into a slack message and the slack messages and emails into weekly summary.

Burning thousands of credits for what could be replaced by...

listening

Christ I am only realising now they probably see me asking copilot "why are you so shit" or "Just fuckoff, I'll do it myself". They pay for that.

I was put in a position to start building and deploying copilot agents in our company. I discovered in the first day how unprepared our environment was for anything copilot. The default state when you get licenses and an environment to work in, is the wild west. It's really bad and as is tradition, half cocked and rushed to market. I wrote out pages of notes of things we had to do as a company before even the most simple agents are created for security and governance. I never got the support to implement any changes, so I drug my feet as much as I could on anything I could. For 6 months I successfully never deployed any AI stuff and got out to do full stack dev instead. I created PoC agents, but with hard caveats that none of it was usable in the current state in prod.

Now prices are increasing and our drive to force agentic has softened a little company wide. I like to think that my semi malicious yet justified slow walking saved us a whole shit load of headache and expenses over the next couple of months as the new copilot pricing hits on June 1.

Now that they've poured zillions into it, they are starting to realize that they'll never get their return on that investment, so now they have to manage the draw down so it doesn't all crash.

At least some are recognizing it.

Hi, it’s partly my fault. You’re welcome. Boss said use more AI. Boss’s mistake was asking someone who would actually take him seriously, unlike all the koolaid chugs out there. Made a docker runtime harness that hooks up to Snowflake Cortex Code SDK for inference. Supports defining repeatable LLM tasks, scheduling them, lightly orchestrating them, network controls, saving results, ... It’s got support for custom skills, commands, chain prompting, sessions, … So now I can use Docker to schedule LLM jobs like motherfucking database pipelines. It can mediocrely do shit like research, planning, evaluations, … all defined through YAML configuration files.

Basically, I introduced scalability to the stack. Sweet malicious compliance. We’ll see what happens next, when everyone is actually empowered to use AI like the execs want. My prediction is an about-face.

Edit: sometimes the best way to win a fight is to show the referee that the rules don’t make any fucking sense. Sometimes the referee doesn’t speak English, though, so you have to show them via USD speak. Sometimes they have a hard time hearing too, so you have to let them taste the poison a little. Sometimes they get drunk off that little bit, so you then gotta throw them in the fucking pool and tell them to start swimming.

article about axios https://www.salon.com/2026/05/09/axios-accused-of-market-manipulation-with-iran-reporting/

Ah, my mistake. I didn't see the link.

By "random business sentence generator" do you mean a language model? 👀

The Bun rust re-write.

They make it up in volume.

(Volume being how loudly they shout about how it's going to change the world and dupe more people into investing.)

maybe they are planning ahead for the business model in a few years time, when nobody can do any work without claude, and they get to charge their preferred "monopoly enshittification" price?

Suuuuure they are. No accounting gimmicks at all! Just suddenly profitable via magic right before they go public.