Email: OpenAI dev arrested 🚨, Pi API 🤖, OpenCode 2.0 🧑‍💻

Subject:
OpenAI dev arrested 🚨, Pi API 🤖, OpenCode 2.0 🧑‍💻
Received:
10/14/2026, 1:30:14 PM
From:
"TLDR AI" <dan@tldrnewsletter.com>
To:
silk.theater.56@fwdnl.com
&lt;!DOCTYPE html&gt;&lt;html lang="en"&gt;&lt;head&gt;
		&lt;meta http-equiv="Content-Type" content="text/html charset=UTF-8"&gt;
		&lt;meta charset="UTF-8"&gt;
		&lt;meta name="viewport" content="width=device-width"&gt;
		&lt;meta name="x-apple-disable-message-reformatting"&gt;
		&lt;title&gt;TLDR AI&lt;/title&gt;
		&lt;meta name="color-scheme" content="light dark"&gt;
		&lt;meta name="supported-color-schemes" content="light dark"&gt;
		&lt;style type="text/css"&gt;
			:root {
				color-scheme: light dark; supported-color-schemes: light dark;
			}
			
			*,
			*:after,
			*:before {
				-webkit-box-sizing: border-box; -moz-box-sizing: border-box; box-sizing: border-box;
			}
			
			* {
				-ms-text-size-adjust: 100%; -webkit-text-size-adjust: 100%;
			}
			
			html,
			body,
			.document {
				width: 100% !important; height: 100% !important; margin: 0; padding: 0;
			}
			
			body {
				-webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; text-rendering: optimizeLegibility;
			}
			
			div[style*="margin: 16px 0"] {
				margin: 0 !important;
			}
			
			table,
			td {
				mso-table-lspace: 0pt; mso-table-rspace: 0pt;
			}
			
			table {
				border-spacing: 0; border-collapse: collapse; table-layout: fixed; margin: 0 auto;
			}
			
			img {
				-ms-interpolation-mode: bicubic; max-width: 100%; border: 0;
			}
			
			*[x-apple-data-detectors] {
				color: inherit !important; text-decoration: none !important;
			}
			
			.x-gmail-data-detectors,
			.x-gmail-data-detectors *,
			.aBn {
				border-bottom: 0 !important; cursor: default !important;
			}
			
			.btn {
				-webkit-transition: all 200ms ease; transition: all 200ms ease;
			}
			
			.btn:hover {
				background-color: #f67575; border-color: #f67575;
			}
			
			* {
				font-family: Arial, Helvetica, sans-serif; font-size: 18px;
			}
			
			@media screen and (max-width: 600px) {
				.container {
					width: 100%; margin: auto;
				}
				.stack {
					display: block!important; width: 100%!important; max-width: 100%!important;
				}
				.btn {
					display: block; width: 100%; text-align: center;
				}
			}
			
			body,
			p,
			td,
			tr,
			.body,
			table,
			h1,
			h2,
			h3,
			h4,
			h5,
			h6,
			div,
			span {
				background-color: #FEFEFE !important; color: #010101 !important;
			}
			
			@media (prefers-color-scheme: dark) {
				body,
				p,
				td,
				tr,
				.body,
				table,
				h1,
				h2,
				h3,
				h4,
				h5,
				h6,
				div,
				span {
					background-color: #27292D !important; color: #FEFEFE !important;
				}
			}
			
			a {
				color: inherit !important; text-decoration: underline !important;
			}

		&lt;/style&gt;
		&lt;!--[if mso | ie]&gt;
		&lt;style type="text/css"&gt;
			a {
				background-color: #FEFEFE !important; color: #010101 !important;
			}
			@media (prefers-color-scheme: dark) {
				a {
					background-color: #27292D !important; color: #FEFEFE !important;
				}
			}
	 &lt;/style&gt;
			&lt;![endif]--&gt;
	&lt;/head&gt;
	&lt;body class=""&gt;





		&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;OpenAI said it alerted the FBI after finding a hidden recording device in an executive conference room, leading to the firing and arrest of&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;‌&nbsp;&lt;/div&gt;
		&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;
			&lt;br&gt;
		&lt;/div&gt;

		&lt;table align="center" class="document"&gt;
			&lt;tbody&gt;
				&lt;tr&gt;
					&lt;td valign="top"&gt;

						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" class="container" width="600"&gt;
							&lt;tbody&gt;
								&lt;tr class="inner-body"&gt;
									&lt;td&gt;

										&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
											&lt;tbody&gt;
												&lt;tr class="header"&gt;
													&lt;td bgcolor="" class="container"&gt;

														&lt;table width="100%"&gt;
															&lt;tbody&gt;
																&lt;tr&gt;
																	&lt;td class="container"&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" style="margin-top: 0px;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding: 0px;"&gt;

																						&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div style="text-align: center;"&gt;
																											&lt;span style="margin-right: 0px;"&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftldr.tech%2Fai%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/Bf2MFiViBQnkRaVq9rbv4wBbouhiJeSRq2vgHegBmCU=452" rel="noopener noreferrer" target="_blank"&gt;&lt;span&gt;Sign Up&lt;/span&gt;&lt;/a&gt;
																											|&lt;span style="margin-right: 2px; margin-left: 2px;"&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=advertisetopnav/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/FyBaMU2V1XrEmOugXlW97nxz3dmeybKUrO58h-o0RQI=452" rel="noopener noreferrer" target="_blank"&gt;&lt;span&gt;Advertise&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;|&lt;span style="margin-left: 2px;"&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fa.tldrnewsletter.com%2Fweb-version%3Fep=1%26lc=1571a9f6-84b7-11f0-b464-47c5c04ad337%26p=558ede3c-c7c8-11f1-ae9c-4b0dfd8c9c61%26pt=campaign%26t=1791984614%26s=541f6ebf72e36406a11a5076c0579a0629c31c66261e3fa32c61c6fafd067a64/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/doEYyDaFFotNo1rIUDMC3CDFRUcgT9iAwzuqQnPilHU=452"&gt;&lt;span&gt;View Online&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;
																											&lt;br&gt;
																											&lt;/span&gt;&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="text-align: center;"&gt;&lt;span data-darkreader-inline-color="" style="--darkreader-inline-color:#3db3ff; color: rgb(51, 175, 255) !important; font-size: 30px;"&gt;T&lt;/span&gt;&lt;span style="font-size: 30px;"&gt;&lt;span data-darkreader-inline-color="" style="color: rgb(232, 192, 96) !important; --darkreader-inline-color:#e8c163; font-size:30px;"&gt;L&lt;/span&gt;&lt;span data-darkreader-inline-color="" style="color: rgb(101, 195, 173) !important; --darkreader-inline-color:#6ec7b2; font-size:30px;"&gt;D&lt;/span&gt;&lt;/span&gt;&lt;span data-darkreader-inline-color="" style="--darkreader-inline-color:#dd6e6e; color: rgb(220, 107, 107) !important; font-size: 30px;"&gt;R&lt;/span&gt;
																										&lt;br&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;br&gt;

																						&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr id="together-with"&gt;
																									&lt;td align="center" height="20" style="vertical-align:middle !important;" valign="middle" width="100%"&gt;&lt;strong style="vertical-align:middle !important; height: 100%;"&gt;Together With &lt;/strong&gt;
																										&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sans.org%2Fgo%2F2026-ai-govern-field-guide%3Futm_source=TLDR%26utm_medium=Sponsored_Content%26utm_campaign=AI_Security_Maturity_Model_eBook_2026%26utm_content=SP_AI_GovernFieldGuide_10.14.26_header_governance_sets_ceiling%26utm_term=2026-10-14_tldr_ai%26utm_goal=Leads%26utm_rdetail=Global%26utm_type=Global_Campaign/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/Y09fCzBEoNy14Y64Bs74FUVXuM9wjimnLB2eAcyVHuQ=452"&gt;&lt;img src="https://images.tldr.tech/sans.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="SANS Institute"&gt;&lt;/a&gt;&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;


																						&lt;table style="table-layout: fixed; width:100%;" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;"&gt;
																										&lt;div style="text-align: center;"&gt;

																											&lt;h1&gt;&lt;strong&gt;TLDR AI &lt;span id="date"&gt;2026-10-14&lt;/span&gt;&lt;/strong&gt;&lt;/h1&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table style="table-layout: fixed; width:100%;" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr id="sponsy-copy"&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sans.org%2Fgo%2F2026-ai-govern-field-guide%3Futm_source=TLDR%26utm_medium=Sponsored_Content%26utm_campaign=AI_Security_Maturity_Model_eBook_2026%26utm_content=SP_AI_GovernFieldGuide_10.14.26_header_governance_sets_ceiling%26utm_term=2026-10-14_tldr_ai%26utm_goal=Leads%26utm_rdetail=Global%26utm_type=Global_Campaign/2/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/-5pB8pkDvSpeByxjllZdEDzLZIDO-DSqCnSncQa26Rw=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Governance Sets the Ceiling on Your Entire AI Security Program (Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Still trying to get your security team to use AI tools they don't trust? Chris Cochran, Field CISO and VP of AI Security at SANS, wrote the new Govern Field Guide to help organizations verify the trustworthiness of their AI security program.&nbsp;&lt;p&gt;&lt;/p&gt;&lt;p&gt;It breaks down risk management, oversight and accountability, shadow AI visibility, and compliance readiness, each with a specific move for reaching a defensible Stage 3.&lt;/p&gt;&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sans.org%2Fgo%2F2026-ai-govern-field-guide%3Futm_source=TLDR%26utm_medium=Sponsored_Content%26utm_campaign=AI_Security_Maturity_Model_eBook_2026%26utm_content=SP_AI_GovernFieldGuide_10.14.26_body_intro_govern_field_guide%26utm_term=2026-10-14_tldr_ai%26utm_goal=Leads%26utm_rdetail=Global%26utm_type=Global_Campaign/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/sjkpxH1m721pgFrHErHA5CfVk4W-218zIV3k1X0Sih0=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;⬇️ Get the Govern Field Guide&lt;/span&gt;&lt;/a&gt; for the 5 steps to elevate your program&lt;/p&gt;

																											&lt;p&gt;👀 See the full three-pillar framework in the&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sans.org%2Fmlp%2F2026-ai-security-maturity-model-ebook%3Futm_source=TLDR%26utm_medium=Sponsored_Content%26utm_campaign=AI_Security_Maturity_Model_eBook_2026%26utm_content=SP_AI_MaturityModel_10.14.26_body_outro_ai_security_maturity_model%26utm_term=2026-10-14_tldr_ai%26utm_goal=Leads%26utm_rdetail=Global%26utm_type=Global_Campaign/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/BWCNwbQUd6lRGvBcLjXxDnlX16BDsRb1WvufTpAHFYQ=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt; AI Security Maturity Model eBook&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;

																											&lt;p&gt;🔎 Explore more&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sans.org%2Fartificial-intelligence%3Futm_source=TLDR%26utm_medium=Sponsored_Content%26utm_campaign=AI_Security_Maturity_Model_eBook_2026%26utm_content=SP_AI_Research_10.14.26_cta_sans_ai_security%26utm_term=2026-10-14_tldr_ai%26utm_goal=Leads%26utm_rdetail=Global%26utm_type=Global_Campaign/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/rc2Z1gTlqpnsYSpY4Bph8sxiJwSRuq2obg0rPfkEw2I=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt; SANS AI security research, webcasts, and training&lt;/span&gt;&lt;/a&gt;


																											&lt;/p&gt;
																											&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;
																																											&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;
																	&lt;/td&gt;
																&lt;/tr&gt;
															&lt;/tbody&gt;
														&lt;/table&gt;
													&lt;/td&gt;
												&lt;/tr&gt;
												&lt;tr bgcolor=""&gt;
													&lt;td class="container"&gt;

														&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
															&lt;tbody&gt;
																&lt;tr&gt;
																	&lt;td style="padding: 0px;"&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;&lt;span style="font-size:36px;"&gt;🚀&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;

																								&lt;h1&gt;&lt;strong&gt;Headlines &amp; Launches&lt;/strong&gt;&lt;/h1&gt;
																							&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FmVx0nP/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/iAstPHJlpW06cg9qvHVOaiJqkUQBv7um-UmIZEBGRu0=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;OpenAI Employee Arrested Over Hidden Recording Device (2 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    OpenAI said it alerted the FBI after finding a hidden recording device in an executive conference room, leading to the firing and arrest of employee Abdulrahman Alfozan. Prosecutors alleged the device was used to covertly intercept conversations, while OpenAI said it found no evidence that model weights, source code, or customer data were accessed.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcloud.google.com%2Fblog%2Fproducts%2Fai-machine-learning%2Fgemini-4-argon-available-on-google-cloud%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/fOyoiuEo5EbXxHQc4vyJdjzXpTzJk7d7HQayACWeQkc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Gemini 4 Argon Lands on Google Cloud (3 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Google made Gemini 4 Argon available on Google Cloud as a frontier model for long, multi-step enterprise work. It was positioned for tasks requiring sustained context and domain expertise, including software development, finance, legal work, and cybersecurity.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;


																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧠&lt;/span&gt;&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;

																								&lt;h1&gt;&lt;strong&gt;Deep Dives &amp; Analysis&lt;/strong&gt;&lt;/h1&gt;
																							&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;


																		&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthezvi.wordpress.com%2F2026%2F10%2F13%2Farguments-about-ai-consciousness-remain-highly-motivated-and-at-best-overconfident%2F%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/0GpDQ5eNzUuTbe_LPyCDpAzJs6yv_YSiN9WT12cdxx4=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Arguments About AI Consciousness Remain Highly Motivated and At Best Overconfident (14 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    The debate over AI consciousness continues with minimal progress, as many argue without strong evidence. Anthropic's new policy classifies abusive behavior towards AI, such as Claude, as a violation of terms to cultivate positive model interactions. Despite skepticism from many, some, including Nick Bostrom, believe current AIs may be conscious, complicating ethical considerations around AI development.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.latent.space%2Fp%2Fclaude-dynamic-workflows%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/ZpLox3JWMko9nryUlRaYXu80agAGUmxSdYyFvXtAdfQ=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;How Anthropic's Dynamic Workflows Coordinate Claude Agents (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Splitting a task among several AI agents creates another job: deciding who does what, passing information between them, and checking their results. Anthropic's dynamic workflows let Claude write the program that manages those steps. An October 12 demonstration assigned stock tickers to separate agents, then reviewed their findings before producing a report. The presenters said this found more detail but cost much more than using one agent. Developers can set a session spending limit, but the running model does not know that budget.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧑‍💻&lt;/span&gt;&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;

																								&lt;h1&gt;&lt;strong&gt;Engineering &amp; Research&lt;/strong&gt;&lt;/h1&gt;
																							&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table style="table-layout: fixed; width: 100%;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=secondary10142026%26sp=iEIv31zWmH5WpKNkbqaf_UQa/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/T6RWrsxwirbSMqTcCkA6SYqnqyfnkBR29xiEsEy4FLM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Reach 8 million tech professionals reading TLDR (Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Ads get ignored on social media but not in TLDR! Reach AI engineers, researchers and ML leaders where they actually pay attention. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=secondary10142026%26sp=iEIv31zWmH5WpKNkbqaf_UQa/2/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/DYDZ-h95FUzLbb8BGsCYNSc-ZYrXuQhAvwxi3ELqBcM=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Learn more about sponsorship opportunities&lt;/span&gt;&lt;/a&gt;.
																											&lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdeveloper.nvidia.com%2Fblog%2Fnvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/wbLiVpAp3RtJU3FZLoQGqE9MT1bGTceErBr3RlsCp1Q=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform (17 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Nvidia is making the full NVIDIA Run:ai platform available as open-source software. It is now possible for every NVIDIA DSX ecosystem partner and AI cloud to increase workload throughput, improve GPU utilization, and operate shared AI infrastructure more efficiently and effectively. The release includes the complete NVIDIA Run:ai platform, KAI Scheduler, GPU Fractioning Operator, KAI Resource Management, and Workload Map. Platform teams and ecosystem partners can adopt NVIDIA Run:ai as an integrated whole, build on it for their own products and services, or integrate individual components based on their requirements.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.pi.website%2Fblog%2Fapi-beta%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/HAn9jbMQtcAMHGzCpeZS-K_KNVJLTs7nr6Q0k2aTGlg=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Frontier Models for Every Robot (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Physical Intelligence is making its latest models available for training and inference through the Pi API beta. The Pi API adapts the latest and most powerful robotic foundation models to each application, dealing with ML infrastructure, compute, and complex data pipelines. Users just upload data, launch fine-tuning on managed compute and infrastructure, and access the fine-tuned models via a hosted gateway to run inference.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.liquid.ai%2Fblog%2Flfm2-5-24b-a2b%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/VYKKV6RK_hFMZhb3ZzvkvzbUyYmPyWL9jFtkJMPRMjU=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;LFM2.5-24B-A2B (7 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters, is designed for fast, private on-device agents. It outperforms or matches larger models like Qwen3.6-35B-A3B on five out of eight benchmarks and runs up to 1.7x faster due to its efficient architecture. Available on Hugging Face, it supports extensive inference frameworks, making it suitable for tasks needing swift local inference and tool usage.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fanoma.ly%2Fnotes%2Fopencode-2-0%2F%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/ZCvlqCoQcALYiCGtqjPZ9vEwluHanzYANA7MECgKY1E=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;OpenCode 2.0 (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    OpenCode 2.0 contains quite a lot of new features, performance improvements, and bug fixes. The server now automatically runs as a single background process. Programmatic clients will autodiscover the local service and just work. OpenCode can now be used as a library with the SDK package. More details about the update are available in the article.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🎁&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;strong&gt;&lt;h1&gt;Miscellaneous&lt;/h1&gt;&lt;/strong&gt;&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table bgcolor="" style="table-layout: fixed; width: 100%;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.character.ai%2Fan-update-on-character-ai%2F%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/GyS4SaiNGP8nG5lu0aWEQaZf6_5fiviGQPEKolPcbYI=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Character.ai Filed for Chapter 11 Bankruptcy (2 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Character.ai initiated a voluntary Chapter 11 bankruptcy process to pursue a court-supervised sale after facing legal, regulatory, and operational pressures. The company said the platform could continue under a successful bid, but may be wound down if no viable buyer emerges.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FJHn8L0/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/HOMw0EIaYZqH9UwyVrbRL5DhZhjGdwcA0eJs0rved5w=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Ramp Glass (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Ramp has launched Glass, an AI workspace that shares company knowledge, reusable skills, and collaborative sessions across teams. Employees have made 6,500+ knowledge edits, while model routing cut AI costs by 30% and automated workflows dramatically expanded feature-request tracking.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;


																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;⚡&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding-top: 0px; padding-bottom: 0px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;div style="text-align: center;"&gt;

																								&lt;h1&gt;&lt;strong&gt;Quick Links&lt;/strong&gt;&lt;/h1&gt;
																							&lt;/div&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table bgcolor="" style="table-layout: fixed; width: 100%;" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td style="padding:0;border-collapse:collapse;border-spacing:0;margin:0;" valign="top"&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FYqxP25/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/vM34z2dsTTsU55xFvQHicRRcsWR0OKg0TsfkelPpSxg=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Your AI has a business context problem&nbsp;(Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    AI can retrieve your data. But can it tell what matters, how it connects and what to do next?&nbsp;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FYqxP25/2/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/xqX7MdNPFv5ez_wvtF4YWMXKcVipVq3Qet34XDYtu7U=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;See how Genie closes the context gap&lt;/span&gt;&lt;/a&gt;
																											&lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ffish.audio%2Fdrama-3%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/hB4prNqRw27HFoid0UQ4qAIbGadQF1WRsWyf1hhN4A8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Drama 3 (Website)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Drama 3 is a text-to-speech model from Fish Audio built for direction.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcrunch.com%2F2026%2F10%2F13%2Fspacexsi-bundles-x-premium-grok-and-cursor-into-one-subscription%2F%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/L4ixa2DqcfHEqBCIShVYHgsKk8TXvVwWpqKrlGox07I=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;SpaceXSI bundles X Premium, Grok, and Cursor into one subscription (2 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    SpaceXSI has launched "The X Subscription," combining X Premium, Grok, and Cursor in one plan.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.primeintellect.ai%2Fblog%2Fmoondream%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/5ZAfNApo5SZN73KXSx3TaGJo6dztDocqcdQxojPzkSk=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Moondream is joining Prime Intellect (4 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Moondream's founders are joining Prime Intellect to lead and scale inference, and to accelerate its work on multimodal models.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fthreadreaderapp.com%2Fthread%2F2109543080609165508.html%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/-04g-kQZcvQexmQAR09YequEhaBVhY-DPLpqBw3B06E=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;PSA: Starting today, GPT 6.1 Sol has a default context window of 500k (1 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    The larger context window means fewer compactions on long-running tasks and faster E2E task completion.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																						&lt;table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																							&lt;tbody&gt;
																								&lt;tr&gt;
																									&lt;td class="container" style="padding: 15px 15px;"&gt;
																										&lt;div class="text-block"&gt;
																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.copilotkit.ai%2Fblog%2Fintroducing-clif%3Futm_source=tldrai/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/4wT4idxTxQdHZSc_HobSEA1DkHli788A22VE5IQlJww=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Introducing CLiF: Continual Learning from Full-Stack Trajectories (8 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    CopilotKit releases CLiF, a tool for continual learning from full-stack trajectories, capturing both agent traces and user actions using the AG-UI protocol.
                                &lt;/span&gt;
																											&lt;/span&gt;
																										&lt;/div&gt;
																									&lt;/td&gt;
																								&lt;/tr&gt;
																							&lt;/tbody&gt;
																						&lt;/table&gt;

																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;


																		
																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td align="left" style="word-break: break-word; vertical-align: top; padding: 5px 10px;"&gt;

																						&lt;p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;"&gt;
																							Love TLDR? Tell your friends and get rewards!
																						&lt;/p&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding: 0px 10px 15px;"&gt;
																						&lt;div class="text-block"&gt;
																							Share your referral link below with friends to get free TLDR swag!
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																				&lt;tr&gt;
																					&lt;td align="left" style="padding: 10px;"&gt;
																						&lt;div class="text-block"&gt;
																							&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frefer.tldr.tech%2F51d793d6%2F2/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/o1KHipwZYpq62QP7b4swIGlnGqFFNC7PxQh_YVFTP3w=452" style="color: #464ba4; text-decoration: underline;"&gt;https://refer.tldr.tech/51d793d6/2&lt;/a&gt;
																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																				&lt;tr&gt;&lt;/tr&gt;
																				&lt;tr&gt;
																					&lt;td align="left" style="padding:5px 10px;"&gt;
																						&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fhub.sparklp.co%2Fsub_9a4c16be99eb%2F2/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/k3SD2r39IpYvZ_Io0igVeMkvSnVKOZUwrEvDwxkFcWM=452" style="font-size: 16px; line-height: 1.6;  padding: 10px 0; display: inline-block;  text-decoration: underline;"&gt;&lt;span style="mso-text-raise:13pt; text-decoration: underline;"&gt;Track your referrals here.&lt;/span&gt;&lt;/a&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		


																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td align="left" style="word-break: break-word; vertical-align: top; padding: 5px 10px;"&gt;

																						&lt;p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;"&gt;
																							Want to advertise in TLDR? 📰
																						&lt;/p&gt;
																						&lt;div class="text-block" style="margin-top: 10px;"&gt;
																							If your company is interested in reaching an audience of AI professionals and decision makers, you may want to &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=tldrai%26utm_medium=newsletter%26utm_campaign=advertisecta/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/I2AeaBhnvl4apWKfBFRx8i4r3lD8LRI7cHA7o5OEV_A=452"&gt;&lt;strong&gt;&lt;span&gt;advertise with us&lt;/span&gt;&lt;/strong&gt;&lt;/a&gt;.
																						&lt;/div&gt;
																						&lt;br&gt;

																						&lt;!-- New "Want to work at TLDR?" section --&gt;

																						&lt;p style="padding: 0; margin: 0; font-size: 22px; color: #000000; line-height: 1.6; font-weight: bold;"&gt;
																							Want to work at TLDR? 💼
																						&lt;/p&gt;
																						&lt;div class="text-block" style="margin-top: 10px;"&gt;
																							&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/rC_E6mF0gA1yeTslH2inH9etIU-zVO-KXppOm-8LvLA=452" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"&gt;&lt;strong&gt;Apply here&lt;/strong&gt;&lt;/a&gt;,
																							&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2Fc227b917-a6a4-40ce-8950-d3e165357871/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/edGBHQveHBXyZJ5g13WcHbovGE-vncG8d5pOJuz9l54=452" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"&gt;&lt;strong&gt;create your own role&lt;/strong&gt;&lt;/a&gt; or send a friend's resume to &lt;a href="mailto:jobs@tldr.tech" style="color: #0000EE; text-decoration: underline;"&gt;jobs@tldr.tech&lt;/a&gt; and get $1k if we hire them! TLDR is one of &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Ffeed%2Fupdate%2Furn:li:activity:7401699691039830016%2F/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/ZaEEhhxKlRMlOB0iN5Iab0z1Jq_fWTSTZWZjY3if1Lw=452" rel="noopener noreferrer" style="color: #0000EE; text-decoration: underline;" target="_blank"&gt;&lt;strong&gt;Inc.'s Best Bootstrapped businesses&lt;/strong&gt;&lt;/a&gt; of 2025.
																						&lt;/div&gt;
																						&lt;br&gt;

																						&lt;div class="text-block"&gt;
																							If you have any comments or feedback, just respond to this email!
																							&lt;br&gt;
																							&lt;br&gt; Thanks for reading,
																							&lt;br&gt;
																							&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftwitter.com%2Fandrewztan/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/bWKs4xZcj5fFWF-yKYwlpNhkLdQZM41itIoOII3QHQg=452"&gt;&lt;span&gt;Andrew Tan&lt;/span&gt;&lt;/a&gt;, &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Faliiaminian%2F/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/pJ6cuxih2hVp7gwtod5M6DBzbWZA257U6enp5QzrQoU=452"&gt;&lt;span&gt;Ali Aminian&lt;/span&gt;&lt;/a&gt;, &amp; &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fin%2Fmeetwudi%2F/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/vH_zWN8tsCmO8JWenoqoUiVEA8CkddLcUCaFGxRBH7o=452"&gt;&lt;span&gt;Di Wu&lt;/span&gt;&lt;/a&gt;
																							&lt;br&gt;
																							&lt;br&gt;
																						&lt;/div&gt;
																						&lt;br&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;

																		&lt;table align="center" bgcolor="" border="0" cellpadding="0" cellspacing="0" width="100%"&gt;
																			&lt;tbody&gt;
																				&lt;tr&gt;
																					&lt;td class="container" style="padding: 15px 15px;"&gt;
																						&lt;div class="text-block" id="testing-id"&gt;
																							&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftldr.tech%2Fai%2Fmanage%3Femail=silk.theater.56%2540fwdnl.com/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/VaS9i3e5Ao4nDJ68l6zcTOFJKVm3sa2IaMOt7cMrT58=452"&gt;Manage your subscriptions&lt;/a&gt; to our other newsletters on tech, startups, and programming. Or if TLDR AI isn't for you, please &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fa.tldrnewsletter.com%2Funsubscribe%3Fep=1%26l=eedf6b14-3de3-11ed-9a32-0241b9615763%26lc=1571a9f6-84b7-11f0-b464-47c5c04ad337%26p=558ede3c-c7c8-11f1-ae9c-4b0dfd8c9c61%26pt=campaign%26pv=5%26spa=1791982877%26t=1791984614%26s=6afca30b130481264e0d67ed764f69fd9bc32444f68729b60904941d062a149a/1/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/CHKhd0fbKKVEVLCadpGKjeqj3YxgJtkRo5Gx2IsDrVg=452"&gt;unsubscribe&lt;/a&gt;.
																							&lt;br&gt;

																						&lt;/div&gt;
																					&lt;/td&gt;
																				&lt;/tr&gt;
																			&lt;/tbody&gt;
																		&lt;/table&gt;
																	&lt;/td&gt;
																&lt;/tr&gt;
															&lt;/tbody&gt;
														&lt;/table&gt;
													&lt;/td&gt;
												&lt;/tr&gt;
											&lt;/tbody&gt;
										&lt;/table&gt;
									&lt;/td&gt;
								&lt;/tr&gt;
							&lt;/tbody&gt;
						&lt;/table&gt;
					&lt;/td&gt;
				&lt;/tr&gt;
			&lt;/tbody&gt;
		&lt;/table&gt;



	

&lt;img alt="" src="http://tracking.tldrnewsletter.com/CI0/010001a13a9b3b6d-539132fd-a5a8-4083-855a-73da9ebae623-000000/R2KYvgBSWibb6bgzaDv6Ok6LngloE0UE5k0QPFl36-0=452" style="display: none; width: 1px; height: 1px;"&gt;
&lt;/body&gt;&lt;/html&gt;
Email Content
