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
SpaceX IPO running the crypto ICO pump playbook. Launch with a tiny % of float at a sky high valuation. Incorporate into exchanges and other products to normalize the “paper” valuation. Exit as much as you can over next couple years.
https://t.co/jbwsC04ikc
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.
Why is crypto not going up while everything is?
Because a large majority of you cunts spent the last cycle promoting garbage negative sum meme coins to newcomers
Now those people hate crypto and your meme coin is worth zero regardless while some scamming cunt drives a new lambo
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.
Ivanka @IvankaTrump and @eladgil are
working on a project that uses Al to translate the world's great public-domain books into every major language, making them accessible for free to anyone:
“What are some of the positive use cases for AI? And we started talking about how so much of history's great works of information and literature are not accessible to so many people due to lack of access.
AI has gotten so good that we could create high-fidelity translations of these incredible literary works.
So you think about Dostoevsky, you think about Bronte, you think about Marcus Aurelius, or Epictetus.
All of these works are available in the public domain.
We can use AI to translate them into all the world's commonly spoken languages and make them accessible and available for free if you have internet access.
So we're democratizing access to this incredible knowledge. We're calling it Alexandria Library”
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.
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.
6 months of ChatGPT Pro for one evening in Claude Code. OpenAI opened a form for developers - and they approve almost everyone.
The subscription costs $200/month. $1,200 total. The form is open right now.
One requirement - an active GitHub with real projects.
>> No projects? Build them tonight:
Open Claude Code. Run one prompt: → "Give me top-10 vibe coding ideas for useful projects I can build fast and publish on GitHub"
One evening. 2-3 finished projects. Claude writes the README. The result looks like a month of work.
What you need for approval: → active GitHub profile → a few public repositories → some commit history → at least one genuinely useful project
A Japanese developer posted publicly: they approve everyone with an active GitHub. Not guaranteed - but the odds are real.
Worst case they say no. Best case - $1,200 free and 6 months of o3, GPT-5.5, full Codex without limits.
Form: https://t.co/55mkP480LH
Apply today while the form is open.
@drydenwtbrown "No one outside SF"
The collective narcissistim from that bunch is something to behold. Exceptionalism within exceptionalism.
Greetings from outside SF btw