[ai-control] Re: Proposed "AI System Inference" and "AI User Input" categories

Adam and Joanne Gallagher <inspiredtaste@gmail.com> Sat, 01 August 2026 21:38 UTC

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From: Adam and Joanne Gallagher <inspiredtaste@gmail.com>
Date: Sat, 01 Aug 2026 11:37:59 -1000
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To: Chris Hood <chris@nomotic.ai>
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Subject: [ai-control] Re: Proposed "AI System Inference" and "AI User Input" categories
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I agree Chris. Right now AI outputs are often wildly inaccurate and people
are believing the outputs. This is hurting our brand and trust in general
because it is happening to all verticals in some form. Publishers need to
have preferences to limit how our content, brand name, and what type of
content is being used in outputs. AI outputs can never be fully controlled
but we need vocabulary to that helps defines preferences that publishers
desperately need.

Adam

On Sat, Aug 1, 2026 at 11:32 AM Chris Hood <chris@nomotic.ai> wrote:

> Inference is a conclusion reaches on the basis of evidence and reasoning.
>
> AI inference is just letting AI reach the conclusion.
>
> The larger issue is that humans simply believe and accept the output as
> fact, which is greatly demonstrated by this thread.
>
> You'll never be able to control the accuracy of AI output. It's
> mathematical, and opinionated. One person's belief will rarely align with
> another's.
>
> The larger question becomes, who's truth is the correct truth?
>
> -------- Original message --------
> From: Adam and Joanne Gallagher <inspiredtaste@gmail.com>
> Date: 8/1/26 2:21 PM (GMT-08:00)
> To: Greg Lindahl <greg@commoncrawl.org>, Nate Hake <nate@travellemming.com>
>
> Cc: ai-control@ietf.org
> Subject: [ai-control] Re: Proposed "AI System Inference" and "AI User
> Input" categories
>
> Apologies for the second email. Here is another definition from IBM:
> https://www.ibm.com/think/topics/ai-inference
>
> "In machine learning, AI inference is the act of using a trained AI model
> to make predictions on new data. Essentially, any instance of an artificial
> intelligence model actually generating outputs or making decisions in a
> real-world AI application constitutes AI inference. In simple terms, AI
> inference entails a trained model applying the patterns it learned from its
> training data to infer the correct output for a given input."
>
> AI inference is generating the output.
>
> Adam
>
> On Sat, Aug 1, 2026 at 11:18 AM Adam and Joanne Gallagher <
> inspiredtaste@gmail.com> wrote:
>
>> Happy to hear your definition but this is the definition on the Google
>> document:
>> https://cloud.google.com/discover/what-is-ai-inference#how-does-ai-inference-work
>>
>> "Think of it this way: if training is like teaching an AI a new skill,
>> inference is that AI actually using the skill to do a job. It takes in new
>> data (like a photo or a piece of text) and produces an instant output, like
>> a prediction, generates a photo, or makes a decision. This is where AI
>> delivers business value. For anyone building with AI, understanding how to
>> make inference fast, scalable, and cost-effective is the key to creating
>> successful solutions."
>>
>> Adam
>>
>> On Sat, Aug 1, 2026 at 11:14 AM Greg Lindahl <greg@commoncrawl.org>
>> wrote:
>>
>>> That's not what AI Inference means.
>>>
>>> On Sat, Aug 1, 2026 at 2:13 PM Adam and Joanne Gallagher <
>>> inspiredtaste@gmail.com> wrote:
>>>
>>>> No, AI inference is producing AI recipes riddled with errors that use
>>>> our brand name to compete against us in search in the form of AI Overviews
>>>> and AI Mode outputs. I go into this in detail in my post I linked to. Here
>>>> is the link again:
>>>> https://www.inspiredtaste.net/101454/ai-recipes-harming-trust/
>>>>
>>>> To review the definition of AI inference that is discussed on this
>>>> Google document: https://cloud.google.com/discover/what-is-ai-inference
>>>> . AI inference is the computational process happening behind the
>>>> scenes, and the AI Overview is the final text output of the inference
>>>> process. When someone types a query into Google, the trained model takes
>>>> the query and applies what it learned to generate a unique summary. This
>>>> execution phase of taking the prompt and producing an output is by
>>>> definition AI inference. Bottom line, AI inference is doing the harm
>>>> and we don't have preferences to stop this from happening. As a publisher
>>>> of information this is a major problem and the entire open web currently
>>>> has this problem.
>>>>
>>>> Adam
>>>>
>>>> On Sat, Aug 1, 2026 at 11:00 AM Greg Lindahl <greg@commoncrawl.org>
>>>> wrote:
>>>>
>>>>> > AI inference is what is proactively being used in search at global
>>>>> scales which is causing grave harm to our business.
>>>>>
>>>>> Are you harmed by AI inference intending to suppress pornography in
>>>>> search results?
>>>>>
>>>>> One great thing about the IETF process is that it brings together many
>>>>> communities -- in this case, both publishers and search engine implementers.
>>>>>
>>>>> This particular topic has come up several times in the past.
>>>>>
>>>>> -- greg
>>>>>
>>>>>
>>>>> On Sat, Aug 1, 2026 at 1:19 PM Adam and Joanne Gallagher <
>>>>> inspiredtaste@gmail.com> wrote:
>>>>>
>>>>>> I completely agree with Nate on this. AI inference is what is
>>>>>> proactively being used in search at global scales which is causing grave
>>>>>> harm to our business. We currently don't have any inference preferences to
>>>>>> stop it without removing ourselves from AI outputs entirely. With the lines
>>>>>> between organic index search and AI search being blurred at alarming rates
>>>>>> this would be insane for us to do. It is essentially a hostage situation
>>>>>> right now. Here is a detailed post that describes how AI inference is
>>>>>> misrepresenting our brand and competing against us with our content at
>>>>>> scales never before seen. It is wildly unsustainable. Article link:
>>>>>> https://www.inspiredtaste.net/101454/ai-recipes-harming-trust/
>>>>>>
>>>>>> Our business desperately needs preferences to stop this from
>>>>>> happening as soon as possible. Putting aside the training on our content
>>>>>> that has already happened without our permission, inference is what is
>>>>>> causing (doing) harm to our business in the form of AI misinformation.
>>>>>>
>>>>>> Publishers need to have much more control of inference. It should be
>>>>>> a core mission of this working group to define inference preferences and
>>>>>> vocabulary.
>>>>>>
>>>>>> --
>>>>>> Adam Gallagher
>>>>>> Inspired Taste <https://www.inspiredtaste.net/>* - *Easy Recipes for
>>>>>> Home Cooks
>>>>>>
>>>>>> --
>>>>>> ai-control mailing list -- ai-control@ietf.org
>>>>>> To unsubscribe send an email to ai-control-leave@ietf.org
>>>>>>
>>>>>
>>>>
>>>> --
>>>> Adam and Joanne Gallagher
>>>> Inspired Taste <https://www.inspiredtaste.net/>* - *Easy Recipes for
>>>> Home Cooks
>>>>
>>>>
>>
>> --
>> Adam and Joanne Gallagher
>> Inspired Taste <https://www.inspiredtaste.net/>* - *Easy Recipes for
>> Home Cooks
>>
>>
>
> --
> Adam and Joanne Gallagher
> Inspired Taste <https://www.inspiredtaste.net/>* - *Easy Recipes for Home
> Cooks
>
>

-- 
Adam and Joanne Gallagher
Inspired Taste <https://www.inspiredtaste.net/>* - *Easy Recipes for Home
Cooks