nlpnerd

4 ms·

1.
by nlpnerd 10d ago
How real is this? That people are taking inference costs seriously enough to invent a new line item "AI COGS"?
2.
Understanding Inference and the Economics of Enterprise AI(vistaequitypartners.com)
1 points by nlpnerd 10d ago|1 comments
3.
The Shape and Feel of the Post-AI Data Stack(iandmacomber.com)
1 points by nlpnerd 11d ago|1 comments
4.
Running a Software Factory Efficiently at Uber Scale(uber.com)
3 points by nlpnerd 13d ago|0 comments
5.
Observational reconstruction, then the inverse problem(seldon-ai.com)
1 points by nlpnerd 17d ago|0 comments
6.
by nlpnerd 1mo ago
Except there are like a dozen Openrouter clones out there with nowhere near the same traction. Not as easy as people believe to build a successful startup. The team probably had the right experience and advantage from building OpenSEA.
7.
Beyond Demo Day: Sorting and Value Added in Startup Accelerators [pdf](nber.org)
2 points by nlpnerd 1mo ago|0 comments
8.
The Agentic Awakening: The Three Part Playbook for the Agentic Transition(theagenticawakening.com)
3 points by nlpnerd 1mo ago|0 comments
9.
by nlpnerd 1mo ago
Not because everybody from the old team left?
10.
by nlpnerd 1mo ago
"Where is the return on investment? The return is in the usefulness of AI." Wow.
11.
Jensen: "Nvidia AI Factory Compute Is Becoming an Investable Asset Class"(twitter.com)
3 points by nlpnerd 1mo ago|3 comments
12.
by nlpnerd 1mo ago
What YT videos?
13.
by nlpnerd 1mo ago
TIL
14.
by nlpnerd 1mo ago
From a recent article in The Economist. It turns out that once again many of the jobs that people predicted would be eliminated by AI have instead received a boost, at least for now. This closely follows another recent report on how Indian
15.
The Philippines' big offshoring industry is growing despite AI(economist.com)
75 points by nlpnerd 1mo ago|88 comments
16.
by nlpnerd 1mo ago
Fine line between articulating a vision well or marketing vs just lying.
17.
User awareness in frontier models: Who's asking shifts what models say(transluce.org)
1 points by nlpnerd 1mo ago|0 comments
18.
Ask HN: Can trivial LLM calls be compiled into conventional data pipelines?
1 points by nlpnerd 1mo ago|0 comments
19.
by nlpnerd 1mo ago
This why those RL env startups are able to charge frontier labs so much for their work. LLMs still generalize poorly outside of self-verifiable tasks like coding and math. Labs have to compensate with post-training in RL env that embeds the
20.
Mozilla's Inaugural 'State of Open Source AI' Report Is Here(blog.mozilla.org)
16 points by nlpnerd 2mo ago|1 comments
21.
Why 95%+ of Startups Get the Forward Deployed Engineer Role Wrong(flybridge.com)
3 points by nlpnerd 2mo ago|0 comments
22.
by nlpnerd 2mo ago
Very much agree that a lot of LLM calls today are redundant and could be decomposed into reasoning vs just parsing(regexes), ETL, etc
23.
Why compute might get 10x+ more expensive in coming years(dwarkesh.com)
3 points by nlpnerd 2mo ago|0 comments
24.
AI Bill as a Management Discipline(seldon-ai.com)
2 points by nlpnerd 2mo ago|1 comments
25.
by nlpnerd 2mo ago
That's a good point actually. I just recalled that Openrouter charges a premium of 5.5% on transactions. That's probably comparable or fat relative to the cut for payments processors like Stripe.
26.
by nlpnerd 2mo ago
Like what's the angle here, and what's the outlook for LLM routers like Openrouter to justify a 10B valuation? Somebody enlighten me.
27.
Stripe in talks to acquire OpenRouter in potential $10B deal, WSJ reports(finance.yahoo.com)
12 points by nlpnerd 2mo ago|3 comments
28.
You don't need an LLM to cluster LLM traces(seldon-ai.com)
2 points by nlpnerd 2mo ago|0 comments
29.
by nlpnerd 2mo ago
The mad rush and overhiring didn't stop immediately after Covid. I know of cases where experienced software engineers were getting picked up by big tech with huge increments as late as end of 2023. My impression is that the current tre
30.
by nlpnerd 2mo ago
OP here, and I agree it's probably not AI directly and more of dealing with the post Covid overhiring, and CAPEX for AI investments. Enterprise adoption is definitely not happening as fast as the AI proponents (startups, frontier labs,

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