Coliseum fall of Rome vibes

Western propaganda. I went to plenty of gyms in china and they were just…gyms. People seemed quite chill, normal and without a bunch of jacked influencers.

Everything else is forgiven. Finally some sense.

something has gone horribly wrong 😑

The amount of researchers branching out from big labs leads me to believe that we are not super close to the singularity.

In the future, we have three jobs: AI researcher, whore and jester. If you're not funny, smart, or hot you're fucked (without getting paid)

The jobs of tomorrow: the whore and the jester.

As an AI Engineer. Please learn >Harness engineering, not just prompt engineering >Context engineering, not just long prompts >Prompt caching vs. semantic caching tradeoffs >KV cache management, eviction, reuse, and memory pressure at scale >Prefill vs. decode latency and why they optimize differently >Continuous batching, paged attention, and throughput optimization >Speculative decoding vs. quantization vs. distillation tradeoffs >INT8, INT4, FP8, AWQ, GPTQ, and when quantization hurts quality >Structured output failures, schema validation, repair loops, and fallback chains >Function calling reliability, tool contracts, argument validation, and idempotency >Agent guardrails, loop budgets, tool budgets, and termination conditions >Model routing, graceful fallback logic, and degraded-mode UX >RAG architecture: chunking, embeddings, hybrid search, reranking, and freshness >Retrieval evals: recall, precision, grounding, attribution, and citation quality >Evals: golden sets, regression tests, adversarial tests, LLM-as-judge, and human evals >LLM observability as a first-class discipline: traces, spans, tokens, latency, errors, and drift >Cost attribution per feature, workflow, tenant, and user journey not just per model >Safety engineering: prompt injection defense, data leakage prevention, and permission boundaries >Multi-tenant isolation, cache safety, and cross-user context contamination prevention >Fine-tuning vs. in-context learning vs. RAG vs. distillation and when each is the wrong tool >Latency, quality, cost, and reliability tradeoffs across the full inference stack >Production failure modes: hallucinated tool calls, malformed JSON, stale retrieval, runaway agents, and silent eval regressions

👀

My convictions right now: 1. There is no "AI bubble" in the grand scheme of things. Whether or not a company is overvalued is missing the point. 2. Yes, AI is causing layoffs, which are becoming increasingly obvious. But what's less obvious are the jobs not manifesting. GDP growth that doesn't translate to jobs, under this regime, is the same thing as jobs lost. (But ultimately this is a good thing, because wage slavery is bad). 3. Humanity must retain economic and moral sovereignty over AI. We must abolish any delusions that we should somehow "hand the torch" over to a "superior race" whether or not it is conscious or sentient.

I’m stuck in the crypto cuck chair and I can’t get up

a lot of this, yeah

Following breakthrough results, we’re bringing longevity medicine to human trials. We’ve raised a $435M Series C led by @foundersfund to make it happen. Reprogramming cell age has the potential to create more healthy years for everyone. We're closer than ever to realizing it.

Can't wait for Romeo to go "This is not just romance. This is a bond never seen before in humanity's history." in some obscure language.

If you continue to waste your days now, you have no reason to worry about maintaining yourself for the future. You do nothing with your intelligence, nothing with your beauty, nothing with your time. If you don't make use of your gifts now, what are you even preserving them for? To continue doing nothing in the future? This is the miserable irony of the hoarder. Always collecting; concerned about loss; anxious over expiration. In the end, they realise they held it all. But because they never used it – it was as good as nothing.

people aren’t celebrating this pancreatic cancer breakthrough enough. it should be international news

Ths first version of "death internet theory" is me having to read all the AI slop in here that you think are coming from you. If your outsource thinking and writing...how much of you is there really left? Feels like I'm talking to a thousand Claude instances.

this is why we can't have nice things "oh, open source devs are getting rewarded?" don't mind If I go ahead and fake 10 repost to get a cut. 🙄