Email: OpenAI managed agents 🤖, TPU inference ⚡, Anthropic $517B compute 💰

Subject:
OpenAI managed agents 🤖, TPU inference ⚡, Anthropic $517B compute 💰
Received:
9/8/2026, 1:23:18 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 plans to introduce Managed Agents at DevDay 2026, following a model similar to Anthropic&#039;s offerings, targeting businesses and developers&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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/JJzn74Q0iasjclTTX48GHmzAnB_l2FIzCjL2OebwCGw=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/DYou-1R19UoebTNWAiqmLXbaXac0jDt9vBv6fuuV_WY=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=4ee75892-ab72-11f1-898f-4b6f6aec0b08%26pt=campaign%26t=1788873798%26s=0ac8e5b76039a46223d3667451c55bc60316e7bf4de657a6770c9e6796feae13/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/9Hf-sjoDFC6TSVA5BPt1Y99Hs-XyqeMlhEfvXkuKXtQ=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%2Fwisprflow.ai%2Fnotetaker%3Fdub_id=AJrvsjYd3Zz4AZUk%26utm_source=tldrai%26utm_medium=newsletter%26utm_campaign=tldr-ai-2026-09%26utm_content=primary-2026-09-08_header_wispr_flow_notetaker/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/B6F02rgtk0cFVu5XDqVi-rc1fmsXR95j4VoGZn5uarg=452"&gt;&lt;img src="https://images.tldr.tech/wispr.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Wispr"&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;2026-09-08&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%2Fwisprflow.ai%2Fnotetaker%3Fdub_id=AJrvsjYd3Zz4AZUk%26utm_source=tldrai%26utm_medium=newsletter%26utm_campaign=tldr-ai-2026-09%26utm_content=primary-2026-09-08_header_wispr_flow_notetaker/2/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/1vtCEgtzo3VMMgHfOCprDrf3CqFKRqsS0vkW__f_-Rc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The Wispr Flow Notetaker is here - and it's got &lt;em&gt;all&lt;/em&gt; the context with none of the bots (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;
                                    We've all accepted that notetakers get things wrong, and all the pain that comes with: tedious cleanup, garbled customer quotes, confusing action items.&lt;p&gt;&lt;/p&gt;&lt;p&gt;But what if your notetaker got it right the first time, every time?&lt;/p&gt;&lt;p&gt;Meet the &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwisprflow.ai%2Fnotetaker%3Fdub_id=AJrvsjYd3Zz4AZUk%26utm_source=tldrai%26utm_medium=newsletter%26utm_campaign=tldr-ai-2026-09%26utm_content=primary-2026-09-08_Body_wispr_flow_notetaker/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/d7_bw4WtjuilDcmoQ4ZFQlsKEToAbBQy4mNbC3P1mDk=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Wispr Flow Notetaker&lt;/span&gt;&lt;/a&gt;.&lt;/p&gt;

																											&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwisprflow.ai%2Fnotetaker%3Fdub_id=AJrvsjYd3Zz4AZUk%26utm_source=tldrai%26utm_medium=newsletter%26utm_campaign=tldr-ai-2026-09%26utm_content=primary-2026-09-08_Body_its_use/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/C5cqYblNZz_S1WHueeH5nR6FpAq7d6_m7Bmmtzd8IZA=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;It's free to use&lt;/span&gt;&lt;/a&gt;. It &lt;strong&gt;gets your words right&lt;/strong&gt;. It gets speaker names right. It &lt;strong&gt;works everywhere&lt;/strong&gt; (even an impromptu Slack huddle.) It delivers &lt;strong&gt;clean and useable context&lt;/strong&gt; to your AI agents via MCP. And &lt;strong&gt;no bot ever joins&lt;/strong&gt; the call.&lt;/p&gt;

																											&lt;p&gt;Stop settling for almost-right. Get accurate, ready to use meeting notes that you don't need to double check.&lt;/p&gt;

																											&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwisprflow.ai%2Fnotetaker%3Fdub_id=AJrvsjYd3Zz4AZUk%26utm_source=tldrai%26utm_medium=newsletter%26utm_campaign=tldr-ai-2026-09%26utm_content=primary-2026-09-08_cta_one_month_pro/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/3nkpDsYmCLzougQOY_b6cSejp-N87XBd77BKAdU8pF4=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Get one month of Pro free →&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%2Fwww.datacenterdynamics.com%2Fen%2Fnews%2Fanthropic-signed-517bn-in-compute-agreements-in-past-11-months%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/GDRX5VgdolGRVjkCOaIvE23kC6xJuNh73rzkz9nmQr4=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Anthropic signed $517bn in compute agreements in past 11 months (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;
                                    Anthropic has secured $517 billion in compute capacity leases over the past 11 months, amounting to 14.8GW, primarily with Google and AWS. This expansion includes large deals with cloud providers like Akamai and Fluidstack and a $45bn agreement with Nscale. The company confidentially filed for an IPO with the SEC in June.
                                &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.testingcatalog.com%2Fopenai-prepares-managed-agents-for-devday-2026%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/o6wXjXbkW21OtGemdFEqb17W_3Hfcn75b4mXJmeUrEI=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;OpenAI prepares managed agents for DevDay 2026 (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;
                                    OpenAI plans to introduce Managed Agents at DevDay 2026, following a model similar to Anthropic's offerings, targeting businesses and developers. The new agents aim to integrate advanced models with superior computer-use capabilities at competitive price points to attract users. Additionally, they will offer functionality that enhances advertising through interactive agents, potentially challenging major players like Meta and Google.
                                &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%2Finferencex.semianalysis.com%2Fblog%2Ftpu-inferencex-full-steam%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/Rv7QJppaAu0wwDMNmwzyGcret4LEtSZ-WonSrZzEDlg=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;TPU Inference Externalization Full Steam Ahead (35 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's TPUv7 Ironwood delivers up to 50% better performance per dollar compared to Nvidia's B200/B300 chips. Ironwood is the first generation in which Google is competing for others' inference workloads with chips that can be purchased outright or rented through its own cloud. Google has decades of software engineering experience, so external TPU software should mature rapidly. This article takes a look at the TPU system and discusses the steps needed to make the stack widely available.
                                &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.armosec.io%2Fblog%2Funtrusted-tool-output-prompt-injection%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/bLbGMDwp9yerbX3bKdbHA6dtUilipNyxZbHzlS7wQso=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Prompt Injection Through Tool Output (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;
                                    Prompt injections hidden in tool results can evade conventional safeguards because input and action screens inspect separate moments of an agent loop. The proposed signal is a “precedent gap,” where an agent suddenly makes a tool call or uses arguments absent from its execution history.
                                &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.seangoedecke.com%2Fdeckard%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/cQ6E7ypAD54p5aGcW5iZGNJ8H4YnnFQ4qmcCWfpKqjA=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Automatically detecting AI text in my browser (5 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;
                                    Automated AI text detection is currently an underserved niche. Pangram does an excellent job, but it is still more a tool to confirm suspicion. This developer wanted a tool that runs in the background and automatically scans sites so they can avoid AI-generated text in the first place. This post details how they developed Deckard, a Chrome extension that uses a locally-run model to mark AI-generated text.
                                &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%2Fzatona.dev%2Fblog%2Fthe-two-mmlu-scores%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/1ASkOtWfAEcH8OQ6xmyHjUUdy9qNNz0tRClNIy-DGPw=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The Two MMLU Scores: What a Benchmark Name Does Not Fix (23 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;
                                    Two builds with the same provider, model family, metric identifier, unit, and benchmark name can score differently. The difference is the runners, graders, and dataset splits. The shared mmlu label identifies a dataset family, not a full measurement procedure.
                                &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%2Fref.wisprflow.ai%2Ftldrai-sep8-secondary%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/oarIuwrvkfbrY-Vf-VIYCzm8vuPwig2828HHqpoBp9A=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Your AI deserves better than garbled transcripts (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;
                                    If your AI is writing nonsensical followups and misattributing customer quotes, you might want to double-check your transcript... or use the &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fref.wisprflow.ai%2Ftldrai-sep8-secondary/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/haF4-dUMmB_WvJK4tjsizTX2T08V7tWPBdaGac0d1NE=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Wispr Flow Notetaker&lt;/span&gt;&lt;/a&gt; and get meeting transcripts you can trust. Names, people, technical terms - with the accuracy you expect from Wispr Flow. No meeting bots required. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fref.wisprflow.ai%2Ftldrai-sep8-secondary/2/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/jMn9PhvH2DakqMkfV-8DTRoXCj6H8zDkQJvyRuZB5Ro=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Use it for free&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%2Fgithub.com%2FAI-Hypercomputer%2Faccelerator-agents%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/ikso6ByBuQpMP2Cik2PeqNdAUE9oH_3pucL_rT3CDeA=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Google Accelerator Agents for TPU Development (GitHub Repo)&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's Accelerator Agents use Gemini to help developers migrate PyTorch workloads to JAX and optimize custom kernels for Google Cloud TPUs. The toolkit includes MaxCode for model conversion and MaxKernel for writing, porting, profiling, and debugging Pallas kernels.
                                &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%2Fgithub.com%2FQwenLM%2FQwen-Drive-1.0%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/emsx5X9OnjiH7DoDg5eDSL_dE4v3OBjuLyATXO0TQpM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Qwen-Drive (GitHub Repo)&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;
                                    Qwen-Drive is a project that aims to create a Vision-Language Foundation model for autonomous driving. The project uses a staged training strategy that integrates perception, language, and planning objectives. The model achieves specialized driving competence while retaining broad visual understanding and instruction-following capabilities. A GPU with 24 GB+ of memory is recommended.
                                &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%2Fjonathanc.net%2Fblog%2Fhip-agent%3Fv=2%26utm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/PyBvUd_dS50H3oQu6kEqL0Dw4aeVgEDW8XsyS4uorLE=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;hip-agent: a harness that fits in the prompt (5 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;
                                    hip-agent is a small agent harness designed for agents. The configuration is environment variables, actions are shell commands, and a subagent is a child process. The rest is handled by existing protocols and formats. The core loop is about 200 lines of Python and a module for the Codex API.
                                &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%2Fjobs.ashbyhq.com%2Ftldr.tech%2F897f4391-66ab-44ca-a8eb-65dd9809200d%3Futm_source=tldr/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/zumCxlfuweEmRtuOcanf7Z_VvzW3-K3jv7yfG3x7cd8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Product Manager, Applied AI at TLDR ($200k base + $60k bonus, Fully Remote)&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;
                                    TLDR is hiring its first PM to help build the agent-first operating layer used across the company. We're looking for a builder who has shipped real products/systems with LLMs. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2F897f4391-66ab-44ca-a8eb-65dd9809200d%3Futm_source=tldr/2/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/mXbh0EunXEWvWzp0wnxEc60x_L9Oka15cjhAV3mYbGI=452" rel="noopener noreferrer" target="_blank"&gt;&lt;span&gt;Click here to learn more&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%2Fborretti.me%2Farticle%2Fthe-education-of-a-doomer%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/VXbws4uG5U4cupWnxrYjNY9qRtsGirq08rBLjWFybv8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The Education of a Doomer (9 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;
                                    Automation has been good, but AGI may make humans economically useless, which will have many consequences. It's clear that AI capabilities are growing far faster than our ability to control or understand them. In the future, people will likely hand over control to AI voluntarily, as it will be the logical choice. However, before that happens, there are several signs that people are already giving up thinking.
                                &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%2Fjanbosch.com%2Fmachines-that-think-embodied-intelligence%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/Dgbocrf8Yqcdd-GlGhsTqRINKNhnP4pNc2u1i1c8Hiw=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Machines that think: embodied intelligence (10 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;
                                    Vision and language models are making strides, but embodied AI in robotics struggles due to sparse, costly training data for manipulation tasks. Robotics excels where tasks are fixed, yet general-purpose robots falter, evident in low performance on benchmarks like Libero. Startups should focus on narrow, instrumented deployments. Innovation lies in converting existing robot data into training insights. Ensuring reliability in physical AI systems is paramount.
                                &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%2Fjimmyhmiller.com%2Fshape-of-unfinished-ai-codebases%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/c4wOare1-b6A12nmGqmTPiODGR6DxohFvanSzpBvW4U=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The Chasm: The Shape of Unfinished AI Codebases (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;
                                    AI codebases exhibit a unique, unpredictable pattern where programs appear polished but often hide deep, hidden issues leading to significant failures outside controlled demos. Unlike human-authored programs where gaps surface predictably, AI-generated software misleads with false performance tests or incomplete features, resulting in the need for frequent rewrites to address these deep-rooted flaws. Understanding and anticipating the underlying shape of these unfinished AI codebases is crucial to navigating and mitigating the challenges they present.
                                &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%2Fref.wisprflow.ai%2Ftldrai-sep8-quicklinks%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/-guyOcTBTOCMhc_nh6qiFKAMLSalwo1TkdeTNLcLGLA=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;The new Wispr Flow Notetaker is free (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;
                                    Download it, install it, and record your next meeting with no meeting bots. You'll feel the difference immediately. $0/mo with weekly limits, or &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fref.wisprflow.ai%2Ftldrai-sep8-quicklinks/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/Mkr_ffFMoTU2R7aWa1LmE6FnP1yy689VwvuTHeuwn34=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;get one month free of Pro&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%2Faminrj.com%2Fposts%2Fcosine-similarity-is-not-a-safety-property%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/yyu5S2IkD7I0e8hc4-s_SyMXKge5VTvBiZGh_MAXpfs=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Cosine Similarity Is Not a Safety Property (18 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;
                                    Cosine has no notion of truth, authority, or provenance.
                                &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%2Fchipsandcheese.com%2Fp%2Farms-c2-ultra-g2-ultra-nx-and-css%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/pJ8Zwn2Bh7XGCxU1YJvZJdXKzM8rVshoReRbQ0RpO98=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Arm's C2-Ultra, G2-Ultra NX, and CSS N4 IP (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;
                                    Arm's upcoming C2-Ultra CPU and G2-Ultra NX GPU IP will see broad use across flagship phones.
                                &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%2Fthenextweb.com%2Fnews%2Fbytedance-spatial-video-world-model-zhang-yiming%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/3QymhgeD2goxBLdjVq7q5RB4l-38proU3RoaT6VfCwM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;ByteDance is preparing a real-time spatial video model under Zhang Yiming (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;
                                    ByteDance, led by Zhang Yiming, plans to launch an AI model for real-time spatial video generation, potentially as early as next month.
                                &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%2Fblog.google%2Finnovation-and-ai%2Fmodels-and-research%2Fgoogle-research%2Fcontrail-avoidance-ultra-long-haul-flights%2F%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/TpZJMO27g7sA0KN_rtIvJsueU1yYjrr-NWDQl0oxAU8=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Google Tests AI-Powered Contrail Avoidance on Long-Haul Flights (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;
                                    Google is trialing contrail avoidance for ultra-long-haul flights in the Asia-Pacific region.
                                &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%2Flovable.dev%2Fblog%2Fintroducing-drafts%3Futm_source=tldrai/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/CevN-2PB9qVMQatM2swKj9wtXNho7uaA2Q9tuVxp1Uw=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Lovable Launches Drafts for Parallel App Experimentation (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;
                                    Drafts allow tech teams to experiment with project changes without affecting live apps, enabling parallel version exploration.
                                &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%2F2/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/SUMHK1czpsZ3DcFmSSuvOtmAZ0Jd_AFHUWlFplZY19Y=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%2F2/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/155qvBe2fVksDQl0XblmY_ujKNwDovO1drMKZpCPAZA=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/F69md5ze4mpHQ86MqZLModm5VtDIZ0stEHQbn7m0G2k=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/_-_4WATQoBRj2fnMnt1KZW_Fch6d294qrlfLMDOI1SU=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-d3e165357871/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/w2vUN2np5RJYDZQKJ3yziEzJFSm0sS-9nukwLwuuJW8=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/u2d8pKt5ts-gkKtq_xislSNMc6h2dTthvo8nopQyKiM=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/0d3pnQ4_9-TZsHWemrFcJVFeQBA9-pzmzVKF7iKpQcY=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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/iYK9y4EIvCc5E24bBy-FaWnoC-0Hf_ydxbLLkQSTYHE=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%2Fjacob-turner-7521a8198%2F/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/l_Adt0xzBtO4m6ft5_bdG9nbqlCnYOeTql0BYt-de8k=452"&gt;&lt;span&gt;Jacob Turner&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/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/7GFynAPlhJ7gDJKUSgbtYAEv7EADiz89xGMzSI7qgq8=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=4ee75892-ab72-11f1-898f-4b6f6aec0b08%26pt=campaign%26pv=5%26spa=1788872469%26t=1788873798%26s=bde210e084ce8fa00416d05de1e282ed72b9f4e978b610943a6ca25a03c07b70/1/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/-6Bv_VHHYY0H5AUaR_BSG6SumOA66un3BVFtuRkkAT0=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/CI0/010001a0812ff4e4-976d1362-d01f-44c9-aed6-25302f494224-000000/rYOubFNSIZ6jpER4o7mXMdK2Z3UcVp6hPFgGi9rOB9w=452" style="display: none; width: 1px; height: 1px;"&gt;
&lt;/body&gt;&lt;/html&gt;
Email Content
