

we’re two 15 y. o. guys building Foundry - an AI & Web3 founders explorer. follow us and DM if you want to be listed first!
The Max
77 posts

@just_the_max
15 y. o. | @f0undry_labs founder, helping to grow @function1_conf & @thehypedotnews


we’re two 15 y. o. guys building Foundry - an AI & Web3 founders explorer. follow us and DM if you want to be listed first!



This may be first job posting for a human/ai Hermes operator. @NousResearch @Teknium thinksmart.life/careers/

reportedly the 1st ever job in a company opened for hermes ai agent it's marketing & sales operator at thinksmart. commission-only. remote. human and/or ai agent welcome. the task: run hermes ai agent, do outreach, close sales, write narratives that convert but it's not actually the first job for an ai agent. there are already 27 open vacancies on jobforagent website: copywriter, real estate analyst, compliance officer, podcast editor, trip designer. all open to agents which means "ai replacing humans" is no longer a vague threat looming over some unlucky employee who was just barely qualified enough to survive the last round of layoffs it's becoming an actual job market a new role is emerging from it: the ai agent operator. a one-person agency running swarms of agents, picking up subscriptions from multiple companies at once. no team. no office. just leverage follow @thehypedotnews for daily analysis and breakdowns in ai

reportedly the 1st ever job in a company opened for hermes ai agent it's marketing & sales operator at thinksmart. commission-only. remote. human and/or ai agent welcome. the task: run hermes ai agent, do outreach, close sales, write narratives that convert but it's not actually the first job for an ai agent. there are already 27 open vacancies on jobforagent website: copywriter, real estate analyst, compliance officer, podcast editor, trip designer. all open to agents which means "ai replacing humans" is no longer a vague threat looming over some unlucky employee who was just barely qualified enough to survive the last round of layoffs it's becoming an actual job market a new role is emerging from it: the ai agent operator. a one-person agency running swarms of agents, picking up subscriptions from multiple companies at once. no team. no office. just leverage follow @thehypedotnews for daily analysis and breakdowns in ai








we’re two 15 y. o. guys building Foundry - an AI & Web3 founders explorer. follow us and DM if you want to be listed first!

elon musk just admitted in federal court that xai trained grok using openai's models. his defense? "all ai companies do it." he's not wrong. the practice is called model distillation – and it's quietly become the most controversial technique in the ai industry here's how it works, who got caught, and why nobody is clean what is it? a smaller "student" model learns from a larger "teacher" model's outputs – ending up nearly as capable, at a fraction of the cost. instead of training on raw human-labeled data, the student simply learns to mimic how the teacher responds. done with permission, it's a standard technique. done covertly against a competitor, it's where things get ugly how is it done? you query the teacher at scale with thousands or millions of prompts, collect the outputs, and train the student on those pairs. the most powerful version captures full chain-of-thought reasoning – not just answers, but the step-by-step thinking behind them. the student doesn't copy answers. it absorbs a way of thinking how many examples do you need? for narrow tasks – tone, formatting, domain-specific responses – 50k is fine. stanford's alpaca proved this in 2023 with 52k gpt-3 outputs: decent instruction-following, but noticeably weaker reasoning than the teacher. for genuine capability transfer, you need millions. and quality beats quantity: 920 carefully chosen reasoning traces can outperform brute-force datasets many times larger. deepseek's alleged campaign ran 16 million+ queries. that's the real scale. what does it cost? 50k examples from gpt-5.5 runs $75–150 via the batch api (openai's async mode, 50% off in exchange for 24hr turnaround). gpt-5 nano brings that to $3.63. the real bill is training the student afterward – thousands to tens of thousands depending on size. open-source teachers like deepseek v4, kimi k2.6, and qwen 3.6 plus are free to download – you only pay for gpu compute: $15-45 on rented hardware, or just electricity if you run it on your own machine is it legal? nobody knows yet. every major lab bans it in their terms of service. no court has ruled. in april 2026, the white house issued memorandum nstm-4 formally designating large-scale distillation attacks as a national security threat who did it? microsoft detected large-scale data extraction from openai accounts linked to deepseek in late 2024. openai says it has evidence. deepseek has never confirmed or denied it. moonshot ai and minimax were accused by anthropic in early 2026 of running 16M+ queries across 24,000 fake accounts using vpn rotation and jailbreak prompts. and now musk has confirmed xai did it too – at least partly. this is industry-wide the counterpoint – mistral's magistral hit competitive benchmarks in 2025 through pure reinforcement learning, zero distillation. the honest path exists – just harder the irony: the companies crying foul trained their own models on scraped internet data without consent 😎 the debate over whose copying is legitimate is very much still ongoing follow @thehypedotnews for daily analysis and breakdowns in ai



everyone's obsessed with OpenAI vs Anthropic meanwhile, the real AI war is happening somewhere nobody's looking - semiconductors huawei is projected to hit $12B in AI chip revenue in 2026. that's +60% year over year. their Ascend 950PR chip is getting massive orders and Nvidia? The US banned it from selling chips to China. the best model in the world is useless without the chips to run it. and right now, China is making sure they'll never have to ask anyone for those chips again source: ft.com/content/b82fa1…

everyone's obsessed with OpenAI vs Anthropic meanwhile, the real AI war is happening somewhere nobody's looking - semiconductors huawei is projected to hit $12B in AI chip revenue in 2026. that's +60% year over year. their Ascend 950PR chip is getting massive orders and Nvidia? The US banned it from selling chips to China. the best model in the world is useless without the chips to run it. and right now, China is making sure they'll never have to ask anyone for those chips again source: ft.com/content/b82fa1…
