Author: Charles

First Response to: Why is it spam? ChatGPT 4

I was curious about why a particular message went to my spam box. So I viewed the message headers and had the following exchange. However, the AI gave me two answers to choose from. To be honest, each was okay with me. So I mad two posts with one in each. This post contains the first answer, only because it was on the left column:

Can you give me an idea of why this message went to my spam box? The headers are below:

Received: from SA1PR11MB8473.namprd11.prod.outlook.com (::1) by DS0PR11MB7358.namprd11.prod.outlook.c
om with HTTPS; Wed, 27 Nov 2024 14:05:11 +0000 Received: from CH2PR18CA0041.namprd18.prod.outlook.com
 (2603:10b6:610:55::21) by SA1PR11MB8473.namprd11.prod.outlook.com (2603:10b6:806:3a7::6) with Micros
oft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384) id 15.20.8182.21; Wed,
 27 Nov 2024 14:05:06 +0000 Received: from CH2PEPF0000009B.namprd02.prod.outlook.com (2603:10b6:610:5
5:cafe::50) by CH2PR18CA0041.outlook.office365.com (2603:10b6:610:55::21) with Microsoft SMTP Server 
(version=TLS1_3, cipher=TLS_AES_256_GCM_SHA384) id 15.20.8207.12 via Frontend Transport; Wed, 27 Nov 
2024 14:05:06 +0000 Authentication-Results: spf=pass (sender IP is 208.75.123.161) smtp.mailfrom=in.c
onstantcontact.com; dkim=pass (signature was verified) header.d=shared1.ccsend.com;dmarc=pass action=
none header.from=shared1.ccsend.com;compauth=pass reason=100 Received-SPF: Pass (protection.outlook.c
om: domain of in.constantcontact.com designates 208.75.123.161 as permitted sender) receiver=protecti
on.outlook.com; client-ip=208.75.123.161; helo=ccm26.constantcontact.com; pr=C Received: from ccm26.c
onstantcontact.com (208.75.123.161) by CH2PEPF0000009B.mail.protection.outlook.com (10.167.244.23) wi
th Microsoft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384) id 15.20.8207
.12 via Frontend Transport; Wed, 27 Nov 2024 14:05:05 +0000 Return-Path: AxarRyZjATvWx2OgILnUVuw==_11
34953319977_x+HjeCRrEeuk4PoWPq4O2w==@in.constantcontact.com Received: from [10.252.1.105] ([10.252.1.
105:42848] helo=low1-prod-emailsyndicator-syn-c111.ctct.net) by 10.249.229.10 (envelope-from <AxarRyZ
jATvWx2OgILnUVuw==_1134953319977_x+HjeCRrEeuk4PoWPq4O2w==@in.constantcontact.com>) (ecelerity 4.3.1.9
99 r(:)) with ESMTP id 80/E2-59151-D0727476; Wed, 27 Nov 2024 09:05:01 -0500 DKIM-Signature: v=1; q=d
ns/txt; a=rsa-sha256; c=relaxed/relaxed; s=12042023; d=shared1.ccsend.com; h=date:mime-version:subjec
t:X-Feedback-ID:X-250ok-CID:message-id:from:reply-to:list-unsubscribe:list-unsubscribe-post:to; bh=V3
PW5noekTnp4A9/H7weNKOLNN9nPydyif9G6jfq3t8=; b=crxS1RiSbh6GPHsEulBbd1Yvb9GJZ7i3zX4mfyGXZfRTmeJ1ATx6R+K
7Of0/gInMEIwmFhd4v53laDRjJt61izO3TBprjPDFd4oENZan0W7kC6xEwulS8qhEnX2WkmQ0MhA29OjR5Gj3P7GTN7FC7KeaAZWf
R2PJ+f0HfaK+mVdTAdPsPbWu5EhFqhuFjy+pwuYPTRzP0++4bpm3WnXxnLKE4Hp5GfnvrUifzWgFYrzsMPUGaWQmSWRqTK7Axdyyy
PUBx6NqwBvqGeHHNyvUoKlRbwi2rVIJGDFEFugtcHf1P6lGFhTpYcR86zMqsx7YTHJOC1jhWUPruL7kTalUVg== DKIM-Signatur
e: v=1; q=dns/txt; a=rsa-sha256; c=relaxed/relaxed; s=1000073432; d=auth.ccsend.com; h=date:mime-vers
ion:subject:X-Feedback-ID:X-250ok-CID:message-id:from:reply-to:list-unsubscribe:list-unsubscribe-post
:to; bh=V3PW5noekTnp4A9/H7weNKOLNN9nPydyif9G6jfq3t8=; b=VQIA3scXF8fB3503pSZRLWSMGu4g9ScgRw8rAu/hhzUAv
/u3kF7JmSG1gQS8NK5V8+pVpr7PdEBqQ1b12SCQsDNWiYE8lZgDeZvQbu2ZD/gJP6PR3Pvsryo4gCggRjBJ3UE3V2h1O+ND9iUsrj
zhAc7dZ2PagkubQqzNuMTT74c= Message-ID: <1141980892462.1134953319977.1803975398.0.530901JL.2002@synd.c
csend.com> Date: Wed, 27 Nov 2024 09:05:01 -0500 (EST) From: Good Fortune Jewelry <info-goodfortuneje
we*******@************nd.com> Reply-To: in**@***********te.com To: ch*****@**********ks.com Subj
ect: Why let your unwanted jewelry collect dust? MIME-Version: 1.0 Content-Type: multipart/alternativ
e; boundary="----=_Part_142169571_937024564.1732716301155" List-Unsubscribe: <https://visitor.constan
tcontact.com/do?p=un&m=001zWmY1xkoTatzqU7cCbe8vQ%3D%3D&se=001l3epw8idPkbz31nryNWB4Q%3D%3D&t=001EkZLEx
15CcE%3D&llr=jrt9habbb> List-Unsubscribe-Post: List-Unsubscribe=One-Click X-Campaign-Activity-ID: c5a
ad1c9-98c0-4ef5-b1d8-e8082e7515bb X-250ok-CID: c5aad1c9-98c0-4ef5-b1d8-e8082e7515bb X-Channel-ID: c7e
1e378-246b-11eb-a4e0-fa163eae0edb X-Return-Path-Hint: AxarRyZjATvWx2OgILnUVuw==_1134953319977_x+HjeCR
rEeuk4PoWPq4O2w==@in.constantcontact.com X-Roving-Campaignid: 1141980892462 X-Roving-Id: 113495331997
7.1803975398 X-Feedback-ID: c7e1e378-246b-11eb-a4e0-fa163eae0edb:c5aad1c9-98c0-4ef5-b1d8-e8082e7515bb
:1134953319977:CTCT X-CTCT-ID: c7c509a6-246b-11eb-a4e0-fa163eae0edb X-MS-Exchange-Organization-Expira
tionStartTime: 27 Nov 2024 14:05:05.9459 (UTC) X-MS-Exchange-Organization-ExpirationStartTimeReason: 
OriginalSubmit X-MS-Exchange-Organization-ExpirationInterval: 1:00:00:00.0000000 X-MS-Exchange-Organi
zation-ExpirationIntervalReason: OriginalSubmit X-MS-Exchange-Organization-Network-Message-Id: 51bc5e
68-f8df-448c-56fe-08dd0eec7ed5 X-EOPAttributedMessage: 0 X-EOPTenantAttributedMessage: 87733afe-0d9d-
4701-bcd1-865bd5674a0b:0 X-MS-Exchange-Organization-MessageDirectionality: Incoming X-MS-PublicTraffi
cType: Email X-MS-TrafficTypeDiagnostic: CH2PEPF0000009B:EE_|SA1PR11MB8473:EE_|DS0PR11MB7358:EE_ X-MS
-Exchange-Organization-AuthSource: CH2PEPF0000009B.namprd02.prod.outlook.com X-MS-Exchange-Organizati
on-AuthAs: Anonymous X-MS-Office365-Filtering-Correlation-Id: 51bc5e68-f8df-448c-56fe-08dd0eec7ed5 X-
MS-Exchange-Organization-SCL: 9 X-Forefront-Antispam-Report: CIP:208.75.123.161;CTRY:US;LANG:en;SCL:9
;SRV:BULK;IPV:NLI;SFV:SPM;H:ccm26.constantcontact.com;PTR:ccm26.constantcontact.com;CAT:BULK;SFS:(132
30040)(29132699027)(4022899009)(1032899013)(69100299015)(2066899003)(8096899003);DIR:INB; X-Microsoft
-Antispam: BCL:8;ARA:13230040|29132699027|4022899009|1032899013|69100299015|2066899003|8096899003; X-
MS-Exchange-CrossTenant-OriginalArrivalTime: 27 Nov 2024 14:05:05.5553 (UTC) X-MS-Exchange-CrossTenan
t-Network-Message-Id: 51bc5e68-f8df-448c-56fe-08dd0eec7ed5 X-MS-Exchange-CrossTenant-Id: 87733afe-0d9
d-4701-bcd1-865bd5674a0b X-MS-Exchange-CrossTenant-AuthSource: CH2PEPF0000009B.namprd02.prod.outlook.
com X-MS-Exchange-CrossTenant-AuthAs: Anonymous X-MS-Exchange-CrossTenant-FromEntityHeader: Internet 
X-MS-Exchange-Transport-CrossTenantHeadersStamped: SA1PR11MB8473 X-MS-Exchange-Transport-EndToEndLate
ncy: 00:00:05.6540195 X-MS-Exchange-Processed-By-BccFoldering: 15.20.8207.007 X-Microsoft-Antispam-Ma
ilbox-Delivery: ucf:0;jmr:0;auth:0;dest:J;OFR:SpamFilterAuthJ;ENG:(910001)(944506478)(944626604)(9200
97)(930097)(3100021)(140003);RF:JunkEmail; X-Microsoft-Antispam-Message-Info: 
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ChatGPT said:
You’re giving feedback on a new version of ChatGPT.
Which response do you prefer? Responses may take a moment to load.
ChatGPT
Response 1

Several factors could contribute to this message being flagged as spam. Here are the potential reasons based on the headers:

1. Bulk Mail Classification

  • The header X-Forefront-Antispam-Report includes CAT:BULK, indicating that the message was classified as bulk email.
  • Bulk emails often go to spam unless explicitly whitelisted or deemed relevant by the recipient.

2. Spam Confidence Level (SCL)

  • The header X-MS-Exchange-Organization-SCL: 9 indicates a high spam confidence level (SCL). An SCL value of 9 is typically reserved for spam messages, causing them to be directed to the junk folder.

3. Sender Reputation

  • The sender is using in.constantcontact.com, a legitimate email marketing service. However, some recipients or email providers might consider marketing emails from such platforms as less relevant or promotional.
  • If the domain anyoldwebsite.com or its associated IP addresses have a low reputation or have been flagged previously, it could contribute to the spam classification.

4. Misalignment or Suspicious Return Path

  • The Return-Path address (AxarRyZjATvWx2...) appears obfuscated or encoded, which can look suspicious to spam filters, even though it’s technically valid.

5. Content and Formatting

  • The subject line, “Why let your unwanted jewelry collect dust?” could be flagged as promotional or spammy by some filters.
  • Marketing language or certain keywords often trigger spam filters, especially when the email is part of a bulk campaign.

6. High SPF, DKIM, and DMARC Compliance but Potential for Greylisting

  • While the headers show that SPF, DKIM, and DMARC checks passed, the presence of compliance alone doesn’t guarantee the email avoids spam if other factors (like content or bulk nature) outweigh these checks.

7. Email Metadata

  • Headers such as X-Microsoft-Antispam-Mailbox-Delivery and X-Microsoft-Antispam-Message-Info show that Microsoft’s filters detected patterns consistent with spam or bulk email.

8. Lack of Direct Authentication

  • The X-MS-Exchange-Organization-AuthAs: Anonymous header indicates that the message wasn’t directly authenticated as coming from a trusted sender.

Recommendations:

  • Whitelist the Sender: Add in**@***********te.com to your safe senders list to prevent similar emails from being marked as spam.
  • Inspect Subscription Settings: If this email was unsolicited or you don’t recall subscribing, the bulk nature and lack of interaction history might contribute to the classification.
  • Check Your Junk Filter Sensitivity: If you’re receiving a lot of marketing emails in spam, consider adjusting your email client’s spam filter sensitivity.

Let me know if you’d like steps to whitelist the sender or adjust spam settings in your email client.

A Journey from Eliza to Modern Prompt Engineering ChatGPT 4o

OpenAI ChatGPT LogoThis page has been rewritten a few times. It briefly outlines my first experience with what was purported to be artificial intelligence: my journey from Eliza. The current page is the one I like best. Note that, as always, the more complete the prompt is, the better the output in. In my earliest days of computing, there was a saying that always held true: garbage in, garbage out. That has remained constant over all these years.

ChatGPT 4o

You said:
I would like an article for my Artificial Intelligence website’s home page. I first became aware of artificial intelligence when I had run a program called Eliza on my Radio Shack TRS-80. Add details like when the TRS-80 first came out (I was a part-time Radio Shack employee and had one in 1977). Add details like when that program first came out for the TRS-80 and how very simple it actually was. We can include information on my development of Access-80 and mention more information that is available at the https://Access-80.com site. This site’s purpose will be to help people to better understand prompt engineering by viewing the output generated by various prompts I have used on a variety of topics. I would like a very brief overview of the history of artificial intelligence (there will be a separate page in the site devoted entirely to that).
ChatGPT said:

Here’s an article for your AI website’s home page:

Welcome to My Artificial Intelligence Journey

My introduction to artificial intelligence dates back to the late 1970s when I first ran a program called Eliza on my Radio Shack TRS-80. The TRS-80, one of the first mass-produced personal computers, was introduced in 1977, and as a part-time Radio Shack employee at the time, I had firsthand experience with it. This machine, with its Zilog Z80 processor and cassette-based storage, was primitive by today’s standards, but it opened the door to a world of computing that fascinated me.

Eliza, originally developed in the 1960s at MIT by Joseph Weizenbaum, was one of the first chatbot programs. It simulated a Rogerian psychotherapist, responding to user inputs with simple, pattern-matching replies. While it gave the illusion of conversation, it was a basic script that rephrased what users typed, showing just how easily people could attribute intelligence to software. When Eliza was ported to the TRS-80, it was a glimpse into what would eventually evolve into modern artificial intelligence.

The Path to Access-80

My early exposure to computing and AI concepts led me to create Access-80, a dial-up message board I launched in 1977. This bulletin board system (BBS) was a precursor to the modern internet, allowing users to connect, share information, and interact with content long before the web as we know it. More details on Access-80 can be found at https://Access-80.com.

Understanding AI Through Prompt Engineering

Today, artificial intelligence has grown beyond simple chatbot scripts. Large language models, like the one generating this text, rely on advanced neural networks and vast amounts of data to produce human-like responses. But at the core of these systems lies prompt engineering—the art of crafting the right input to get the desired output. This site is dedicated to helping people understand how prompts influence AI-generated responses by showcasing a variety of topics and their corresponding outputs.

A Brief History of Artificial Intelligence

AI as a concept dates back to ancient history, but the modern field emerged in the 1950s. Early pioneers like Alan Turing laid the foundation for machine intelligence, and by the mid-20th century, researchers began developing programs that could solve problems, play games, and simulate human conversation. The 1980s and 1990s saw advances in expert systems, and by the 2000s, machine learning took center stage. Today, AI powers everything from voice assistants to self-driving cars, transforming the way we interact with technology.

On this site, you’ll find practical examples of AI in action. By experimenting with different prompts and seeing how AI responds, you’ll gain a deeper understanding of how this technology works—and how you can make it work for you.

Explore, Experiment, and Learn

Artificial intelligence is no longer a futuristic concept; it’s here, shaping our daily lives. Whether you’re new to AI or an experienced user, I invite you to explore the prompts, test different ideas, and expand your understanding of this incredible technology.

Does this align with your vision for the site? Let me know if you’d like any tweaks!