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edwin
searching PlanetScale…
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5 ms
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1.
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by
edwin
6mo ago
There’s something quietly impressive about getting modern AI ideas to run on old hardware (like OP's project or running LLM inference on Windows 3.1 machines). It’s easy to think all the progress is just bigger GPUs and more compute, b
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The Security Decisions Claude Code and Codex Make
(amplifying.ai)
2 points
by
edwin
6mo ago
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1 comments
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Claude Code's Leak: Every Hardcoded Vendor and Tool
(amplifying.ai)
8 points
by
edwin
6mo ago
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0 comments
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by
edwin
8mo ago
I’m one of the authors. Our interest is straightforward: If coding agents scaffold a growing share of new apps, their defaults will become prevalent. Not necessarily because they’re objectively best, but because the choices are frictionless
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What tech stack Claude Code defaults to when building apps
(amplifying.ai)
6 points
by
edwin
8mo ago
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1 comments
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Use your leftover CC/Codex tokens overnight for maintenance PRs
(github.com)
1 points
by
edwin
8mo ago
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0 comments
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by
edwin
1y ago
Unlike classic search, which got worse over time due to SEO gamings, AI search might actually improve with scale. If LLMs are trained on real internet discussions (Reddit, forums, reviews), and your product consistently gets called out as b
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by
edwin
1y ago
We looked at the same data that Rand Fishkin used and definitely came to a different conclusion.
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by
edwin
1y ago
A few take-aways from a study we ran (~800 consumer queries, repeated over a few days): * AI answers shift a lot. In classic search a page-1 spot can linger for weeks; in our runs, the AI result set often changed overnight. * Google’s new “
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by
edwin
3y ago
Here you go: https://preview.promptjoy.com/apis/m7oCyL
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by
edwin
3y ago
That's not the current OpenAI recipe. Their expectation is that your custom data will be retrieved via a function/plugin and then be subsequently processed by a chat model. Only the older completion models (davinci, curie, babbage
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by
edwin
3y ago
With LLMs, the inputs are highly variable so exact match caching is generally less useful. Semantic caching groups similar inputs and returns relevant results accordingly. So {"dish":"spaghetti bolognese"} and {"dis
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by
edwin
3y ago
New techniques like semantic caching will help. This is the modern era's version of building a performant social graph.
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by
edwin
3y ago
BTW: Here's a more performant version (fewer tokens) https://preview.promptjoy.com/apis/jNqCA2 that uses a smaller example but will still generate pretty good results.
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by
edwin
3y ago
Thanks. We find few-shot learning to be more effective overall. So we are generating additional examples from the provided example.
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by
edwin
3y ago
For those who want to test out the LLM as API idea, we are building a turnkey prompt to API product. Here's Simon's recipe maker deployed in a minute: https://preview.promptjoy.com/apis/1AgCy9 . Public previe
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by
edwin
5y ago
This is an exciting emerging space with folks (including multiple YC companies) tackling the problem from different directions. I helped compile a list here: https://medium.com/@vikati/the-rise-of-data-monitoring-7221e.
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by
edwin
7y ago
http://news.mit.edu/2016/how-cancer-cells-fuel-their-growth-... - this more recent study theorizes that amino acids, rather than glucose, supply most building blocks for tumor cells
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by
edwin
8y ago
I believe USDC has a blacklist of "forbidden addresses" - this is in contrast with some other compliant ERC20s that have whitelists instead. To redeem USD from USDC (meaning withdrawing said USDC from circulation), the withdrawer
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by
edwin
8y ago
DappRadar is a useful but ultimately hand-curated list. For a more comprehensive look, https://blockspur.com/ethereum_contracts/transactions ranks every Ethereum smart contract by transactions, "users," and &
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by
edwin
12y ago
Greg Galanos (founder of http://en.wikipedia.org/wiki/Metrowerks ) and his associate Mark B Johnson (Apple alum).
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by
edwin
12y ago
Last year, my 8-year-old kids and their classmates designed and hand-built (eventually with dowels instead of screws) their own chairs at their amazing SF school. See http://www.sfbrightworks.org/2013/11/hawk-chai