I think Anthropic and OpenAI have found product-market fit(simonwillison.net)

1048 points by simonw 5 months ago | 1153 comments

Simon Willison blog post arguing Anthropic and OpenAI have reached product-market fit as enterprises pay API prices for LLM usage and coding agents.

Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production

109 points by AbhinavX 1 year ago | 36 comments

Tell HN: I cut Claude API costs from $70/month to pennies

19 points by ok_orco 9 months ago | 7 comments

Why DeepSeek is cheap at scale but expensive to run locally(seangoedecke.com)

299 points by ingve 1 year ago | 176 comments

Anyone else get a vague GitHub shakedown notice?(lists.osgeo.org)

40 points by jjgreen 3 months ago | 29 comments

Moltbook is the most interesting place on the internet(simonwillison.net)

58 points by swolpers 8 months ago | 48 comments

Has AI already killed self-help nonfiction books?(tim.blog)

380 points by imakwana 4 months ago | 431 comments

Tim Ferriss blog post examining whether AI has hurt how-to nonfiction book sales, using industry trends and his own sales data.

The force-feeding of AI features on an unwilling public(honest-broker.com)

330 points by imartin2k 1 year ago | 279 comments

Ted Gioia essay on The Honest Broker arguing tech companies are forcing unwanted AI features on users, calling it tyranny rather than innovation.

AI makes tech debt more expensive(gauge.sh)

436 points by 0x63_Problems 1 year ago | 213 comments

A Gauge blog article arguing that AI coding tools make technical debt more costly rather than less relevant.

$500 GPU outperforms Claude Sonnet on coding benchmarks(github.com)

447 points by yogthos 7 months ago | 247 comments

GitHub repository for ATLAS (Adaptive Test-time Learning and Autonomous Specialization), a system for running local LLMs on consumer GPUs for coding tasks.

Measuring Claude 4.7's tokenizer costs(claudecodecamp.com)

678 points by aray07 6 months ago | 474 comments

Blog post measuring Claude Opus 4.7's new tokenizer, finding about 1.47x more tokens than 4.6 on real content versus the documented 1.0–1.35x, and the resulting cost impact.

The AI boom is causing shortages everywhere else(washingtonpost.com)

359 points by 1vuio0pswjnm7 8 months ago | 596 comments

Washington Post article on how the roughly $700 billion AI spending boom is causing shortages of electricians, components, and pricier smartphones elsewhere in the economy.