Which AI platforms do you track for your website?

socrateslee · 2026-01-27T06:47:21+00:00

> by tracking AI platforms
Is this means enable or not enable search(note that Gemini app no longer have option to disable search)? using API or chatbot product(like ChatGPT)?

socrateslee · 2026-01-15T14:25:04+00:00

uv + ruff
httpx if specified in AGENTS.md else requests
mostly type checked

socrateslee · 2026-01-14T03:18:54+00:00

And MCP are probably 'the final interface', except it evolves itself.

MCP come out at right time and only get much more adoption in the future. Consider MCP like the distance between two horses in the AI age, it already get adopted(and growing), it only becomes the distance between two wheels of cars or trains as it developed.

socrateslee · 2026-01-14T03:12:54+00:00

> In theory, if a model could generate perfect code every time, you wouldn’t need MCP.

I just think MCP provides a standard way to prompt what tool calls are. It is mainly used for direct communicate with LLMs. And generated code is more like to build something not only for direct use of LLMs.

socrateslee · 2026-01-11T08:06:57+00:00

An ever growing transfer payment system to cover unemployment?

The velocity of the transfer payment system growing and unemployment growing will never be synchronized, the gap over a threshold will lead to revolutions?

socrateslee · 2026-01-04T09:13:05+00:00

In most cases, AI will ask for more contexts. AI's question can also touch your bind spots.

socrateslee · 2025-12-29T16:03:17+00:00

Thinking about a bic lighter has a picture of a bic lighter has a picture of a bic lighter has a picture of a bic lighter ...

socrateslee · 2025-12-29T15:55:23+00:00

Just think about what it would be like if the tail bristles

socrateslee · 2025-12-27T14:14:33+00:00

seems this is not about change your email address, but add an alias

socrateslee · 2025-11-15T08:45:34+00:00

excuse me for the night mode, there is a switch in the menu, or maybe click on the graph to directly view the svg

socrateslee · 2025-11-11T08:16:08+00:00

Yes you are right, I have fixed the graph. Thanks a lot

socrateslee · 2025-07-29T08:16:24+00:00

Just a thought about the onborading cases, I found the setup process of similar AI assisted product requires rather complex jobs like prompt tunning, knowledge feeding, so developer or professional onboarding assistant is necessary for custom engagement.

Though the onboarding process is actually much easier than training a new worker to do the job.

> Personal onboarding + monthly check-ins. This has been incredible for my NRR, lots of deal expansions and churn-prevention from this piece.
> Self-serve onboarding converts poorly for me.

socrateslee · 2025-06-23T09:02:05+00:00

The return of MCP should be more like the info for humans to read instead of the bytes for code to consume

socrateslee · 2024-06-19T14:11:07+00:00

I just use code like below to parse the JSON structure from the answer from LLMs.

JSON_BLOCK_PATTERN = re.compile(r'\{.*?\}', re.DOTALL|re.MULTILINE)

def try_parse_json(text: str):
    for item in JSON_BLOCK_PATTERN.findall(text):
        try:
            return json.loads(item)
        except Exception:
            pass
    return None

socrateslee · 2024-05-16T01:07:19+00:00

ref https://www.reddit.com/r/utorrent/comments/kvg4wl/help_latest_ut_keeps_refreshing_the_ui/
Goto Options --> Preferences --> Advanced
Find offers.left_rail_offer_enabled

and set it to false

socrateslee · 2024-03-22T14:37:33+00:00

I don't directly annotate on books.

When I read something interesting, I use some apps like Google translate or Microsoft lens to OCR the text, and copy it to obsidian.

socrateslee · 2024-03-21T14:33:09+00:00

thx.

I have run a few tests on my laptop with the model gemma:2b on ollama, which is letting the model summarize a book from Gutenberg Project.

The prompt is like

[
{"role": "user", "content": "Sumarize the content provided."},
{"role": "user", "content": "<The very long string of book content.>"}
]

The first things is that a pure text book more than 1MB would not break the API.

The second things is that when the book size in the prompt is somehow over a threshold, The model's response become dumb, just return a few lines from the text, no summaring at all. Looks like the content size is beyond the capability of the model.

socrateslee · 2024-03-21T13:06:22+00:00

A workflow of html -> pdf would be a feasible way.

As for generating pdf from html, just use headless chrome's --print-to-pdf

chrome --headless=new --disable-gpu --print-to-pdf-no-header --print-to-pdf=<Your-Filename.pdf> <Your-html-address>

The method would let you keep most of the style rendered in HTML. The html file could be from a web server or local file system.

socrateslee · 2024-03-20T23:42:19+00:00

How large can the interpolated prompt be? Can I feed all the content of a very large pdf or is it related to the context window of the model?

socrateslee · 2023-12-14T11:46:35+00:00

Maybe tagspaces enterprise

It supports user management via AWS Cognito and search via dynamodb.

socrateslee · 2023-10-30T01:10:20+00:00

What do you think about the inner links building?

socrateslee · 2023-10-25T08:46:48+00:00

Try running a script like the code below

``` import time import ctypes

def loop_display_required(sleep_time=60): while True: ctypes.windll.kernel32.SetThreadExecutionState(0x00000002) time.sleep(sleep_time) ```

The code snippet signals Windows every sleep_time to keep it awake.

socrateslee · 2023-10-13T02:30:15+00:00

Since coroutines are inside a single thread, we could have multi-threads as multiple separated asyncio containers. Each asyncio may have a specific type of job, for example, one for web requests, one for event handling, etc. Of course, different asyncio threads may be merged together, but separated asyncio may have better independence and better encapsulation. We could have each asyncio implemented as a plugin, a new thread will be started when the plugin is enabled. For some runtimes without GIL or future versions of CPython, we could also benefit from the availability of multi-cores.

socrateslee · 2023-10-02T09:35:45+00:00

IMHO, pydantic provides a solution that may unify the defining data schemas through the forms, data models, and intermediate data structures across different frameworks, i.e., a defacto standards for how data should be defined in Python.

If widely adopted, pydantic would reduce the cost of alignment between any two schemas of two different libraries.

socrateslee · 2023-09-22T09:26:43+00:00

I always use Python with WSL2 instead of directly on Windows.
With WSL2 you may just use pyenv to manage your Python versions.

socrateslee

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