Email: Jev 1.14 ⚡, Grok Voice 3 🎙️, RSI 🔁

Subject:
Jev 1.14 ⚡, Grok Voice 3 🎙️, RSI 🔁
Received:
10/15/2026, 1:30:09 PM
From:
"TLDR AI" <dan@tldrnewsletter.com>
To:
silk.theater.56@fwdnl.com
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		&lt;div style="display: none; max-height: 0px; overflow: hidden;"&gt;Jev 1.14.0 features image support, a new type, and longer context. Multimodal support has also been turned on for Jev 1.13.0. Both models&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;
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																									&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%2Fsentry.io%2Fresources%2Fwarp-workshop%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=ai-fy27q3-warpworkshop%26utm_content=newsletter-ai-primary-register_header_how_build_context%26utm_term=2026-10-15_tldr_ai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/ac6v8bk9IQqQLNz5uAnN3XSNi5z4moxIrn9waSGSvgI=452"&gt;&lt;img src="https://images.tldr.tech/sentry50.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Sentry"&gt;&lt;/a&gt;&lt;/td&gt;
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																											&lt;h1&gt;&lt;strong&gt;TLDR AI &lt;span id="date"&gt;2026-10-15&lt;/span&gt;&lt;/strong&gt;&lt;/h1&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fresources%2Fwarp-workshop%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=ai-fy27q3-warpworkshop%26utm_content=newsletter-ai-primary-register_header_how_build_context%26utm_term=2026-10-15_tldr_ai/2/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/MRTnrARwqkyoGOSwDC8efHXee_mNl2EsnqQRbT96uEc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;How to build a context-rich software factory with Warp factories + Sentry (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;
                                    Warp's new cloud software factories provide a versioned, measurable way to hand off more mission-critical work to agents.&lt;p&gt;&lt;/p&gt;&lt;p&gt;By integrating Sentry, you can setup an automated debugging workflow with your full context, capture agent metrics for evals, and verify signed deliveries.&nbsp;&lt;/p&gt;&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fresources%2Fwarp-workshop%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=ai-fy27q3-warpworkshop%26utm_content=newsletter-ai-primary-register_body_intro_workshop%26utm_term=2026-10-15_tldr_ai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/Zg64BxCnpbIdtKz4-Q9vpWMptdJmLMdbQhz-8VoexWc=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;In this workshop&lt;/span&gt;&lt;/a&gt;, Sergiy Dybskiy of Sentry and Ben Homes of Warp lay out:&lt;/p&gt;

																											&lt;ul&gt;
																												&lt;li&gt;What Warp factories are and how they can be used to debug issues with Sentry&lt;/li&gt;
																												&lt;li&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fresources%2Fwarp-workshop%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=ai-fy27q3-warpworkshop%26utm_content=newsletter-ai-primary-register_body_outro_how_warp_using_sentry%26utm_term=2026-10-15_tldr_ai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/f5lIHuRrlAJ3Jot7F2GLEvBcEIBWe5oA1l8XqCTSfW4=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;How Warp is using Sentry internally&lt;/span&gt;&lt;/a&gt; for some of their own factories&lt;/li&gt;
																												&lt;li&gt;Best practices for using Warp and Sentry together&lt;/li&gt;
																											&lt;/ul&gt;

																											&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsentry.io%2Fresources%2Fwarp-workshop%2F%3Futm_source=tldr%26utm_medium=paid-community%26utm_campaign=ai-fy27q3-warpworkshop%26utm_content=newsletter-ai-primary-register_cta_save_spot%26utm_term=2026-10-15_tldr_ai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/Y4hDGT2KhwfWgPbCnkpvy8r3V1wyktfUFMlK_uN8EQA=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Save your spot&lt;/span&gt;&lt;/a&gt;


																											&lt;/p&gt;
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																							&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;
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																								&lt;h1&gt;&lt;strong&gt;Headlines &amp; Launches&lt;/strong&gt;&lt;/h1&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FsfLO2d/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/rbdfeBUcXzDbVvPOXGcc6EsQfxBP8mU1qDfvewdOCXY=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Grok Voice 3.0 (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;
                                    xAI announced Grok Voice 3.0, a speech-to-speech model with sub-second latency and improved customer-support performance.
                                &lt;/span&gt;
																											&lt;/span&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftypesafe.ai%2Fblog%2Fjev-1-14%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/xspUcEcDkaajyF5hb2c2y4kaJXPAVFz76_yKZTL9CZc=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Jev: For the builders AND dreamers (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;
                                    Jev 1.14.0 features image support, a new type, and longer context. Multimodal support has also been turned on for Jev 1.13.0. Both models perform worse on multimodality than on pure text. Breaking down questions into the simplest possible decompositions helps a lot. The new 'box' type returns a single bounding box. It is a preview of TypeSafe's explorations beyond simple decisions and into what else System One Models can support.
                                &lt;/span&gt;
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																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧠&lt;/span&gt;&lt;/div&gt;
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																								&lt;h1&gt;&lt;strong&gt;Deep Dives &amp; Analysis&lt;/strong&gt;&lt;/h1&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FrEFrxw/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/NPzpMQL2XQmCRDV3IJ1UOfQtyI1IAgxj-jHtrfqeAf0=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;A Hybrid, Multi-Model AI Future (6 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
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																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Gavin Baker expects open-weight specialist models and frontier systems to coexist behind routers, reducing model margins while increasing compute demand. He argues existing infrastructure commitments remain financeable and warns that excessive concentration or overbuilding poses greater risks.
                                &lt;/span&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FcaghQc/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/fhzBUDl7tN2-Qp1Gc5NWoXgZC1vbeTTIafb2uzuvlv0=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;More Agents, Same Mythical Month (18 minute read)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
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																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    AI has made producing code cheap. This moves the bottleneck of software delivery to deciding, verifying, and coordinating. AI amplifies whatever coordination an organization already had. Adding more agents will not fix weak coordination, just as adding more developers never did.
                                &lt;/span&gt;
																											&lt;/span&gt;
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																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🧑‍💻&lt;/span&gt;&lt;/div&gt;
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																								&lt;h1&gt;&lt;strong&gt;Engineering &amp; Research&lt;/strong&gt;&lt;/h1&gt;
																							&lt;/div&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fincident.io%2Ffree-trial%3Futm_source=tldr%26utm_medium=paid-email%26utm_campaign=FY26-Q4-SEV0-Trial/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/mLetDjx8vW3CSO86Gju2Hkx1qlojQrkJ0r_y0v8mygA=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;AI made shipping code faster. Now reliability is the bottleneck. (Sponsor)&lt;/strong&gt;
                                    &lt;/span&gt;
																											&lt;/a&gt;
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																											&lt;br&gt;
																											&lt;span style="font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, Verdana, sans-serif;"&gt;
                                    Hear how Netflix and OpenAI handle it at SEV0, the reliability conference in London and SF. Free for TLDR readers with code TLDR. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.sev0.com%2F%3Futm_source=tldr%26utm_medium=paid-email%26utm_campaign=FY26-EVT-SEV0-Register/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/lm6UH_zPRtXOIWWioe82ZgkkDcmCr79rcbH4mjViypg=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;&lt;em&gt;Claim your free pass →&lt;/em&gt;&lt;/span&gt;&lt;/a&gt;
																											&lt;br&gt;
																											&lt;br&gt;Not near London or SF? &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fincident.io%2Ffree-trial%3Futm_source=tldr%26utm_medium=paid-email%26utm_campaign=FY26-Q4-SEV0-Trial/2/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/5FlxyxEG0W_gBG-No3NHKVFLgaVJNbUXIR-SMEDFpK8=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;&lt;em&gt;Try incident.io free →&lt;/em&gt;&lt;/span&gt;&lt;/a&gt;
																											&lt;/span&gt;
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                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fclaude.com%2Fresources%2Farticles%2Fagent-observability-on-the-claude-platform%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/6a0juddYqM-WxKb9yhrr5F_RwoDYdejCZXkUZzOfViI=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Agent observability on the Claude Platform (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;
                                    Users can now send OpenTelemetry traces from Claude Managed Agents, the Messages API, and Claude SDKs to any OTel tool, and follow each step their agents take. Claude traces follow the OpenTelemetry GenAI semantic conventions, so data from Claude and other providers works in the same tools and dashboards. They work with any other OpenTelemetry tool that accepts a standard OTLP endpoint. The new feature can be used to debug agents, improve agents with production data, and track usage across an organization.
                                &lt;/span&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fresearch.google%2Fblog%2Fanalyzing-technical-documents-with-deep-review%2F%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/vXVrL_lHlyK7Z7q7jVnzNeLqOk6HOt2JvuWUibjaChM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Analyzing technical documents with Deep Review (12 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 Deep Review is an agent AI system engineer designed to provide rigorous feedback and technical verification on complex documents. It was initially designed for computer science academic paper analysis, but its capabilities have since expanded to reviewing documents across many domains. Deep Review will initially support PDFs and plain text as input formats, but support for multi-file inputs will arrive soon. Google believes that tools like Deep Review will play a significant role across the peer review process in the coming years by empowering both authors and reviewers.
                                &lt;/span&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgithub.com%2Fgoogle-research%2Fharness2%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/03znJ2XKu2P8geIWxuYDWR_uuj0Xvs_-O5q8YsEJskM=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Google Harness² for Recursive Self Improvement (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 Research's Harness² lets agents iteratively improve their prompts, tools, memory, and orchestration without changing model weights. It refines the harness for each task and then carries evidence-backed lessons forward to improve future tasks.
                                &lt;/span&gt;
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																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;🎁&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
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																							&lt;div style="text-align: center;"&gt;&lt;strong&gt;&lt;h1&gt;Miscellaneous&lt;/h1&gt;&lt;/strong&gt;&lt;/div&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2F7aefaa32-da0f-4b36-9853-738d30fcb69d%3Futm_source=tldr/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/Z6XQPDQ5sOdKy9q2qk19EO2smfcCFQmBsueDZ33MOTQ=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Senior Software Engineer, Applied AI at TLDR ($300k 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 a senior engineer to build the agent-first operating layer used across the company. We're looking for a builder who has taken an LLM agent to production and still owns it. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2F7aefaa32-da0f-4b36-9853-738d30fcb69d/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/rVmhHqfOqJeUzd1wUyinU5l1EsYLsigdflDRCsrOPuE=452" rel="noopener noreferrer" target="_blank"&gt;&lt;span&gt;Click here to learn more&lt;/span&gt;&lt;/a&gt;.
																											&lt;/span&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.vals.ai%2Fblogs%2Frouters-new-ai-primitive%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/NY44HHiQnFMTa7MJd8nWuS59Q1sERmfSjxl5ExWSfBI=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;Routers Are a New AI Primitive (13 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;
                                    Routers have emerged as a new primitive of the AI stack. They promise to handle the complexity of model management and help companies benefit from new models without revisiting model selection across every application themselves. Every router shares the same fundamental design, but they differ in how they decide. This post provides an independent comparison of current routers and looks at how today's routers compare with single models on quality and cost.
                                &lt;/span&gt;
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																											&lt;span&gt;
                                &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcorbt.com%2Fposts%2Fit-aint-agi-until-h100s-go-for-30-an-hour%3Futm_source=tldrai/1/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/WYhBSMuHGUXvs7i1eQVT9Kmzrr_nJY-610Lu2yv-P7M=452"&gt;
                                    &lt;span&gt;
                                        &lt;strong&gt;It Ain't AGI Until H100s Go for $30 an Hour (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;
                                    Stratospheric GPU prices will be one of the easiest indicators of AGI to monitor and trade on. A 10x price jump in the price of AI compute will be the clearest sign that agents can finally outperform humans at most economically valuable work. The price would need to rise to an estimated $30 per H100-hour to reach this point. Supply will always be limited to the amount of available compute in the world, so something has to give.
                                &lt;/span&gt;
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																							&lt;div style="text-align: center;"&gt;&lt;span style="font-size: 36px;"&gt;⚡&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;
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																								&lt;h1&gt;&lt;strong&gt;Quick Links&lt;/strong&gt;&lt;/h1&gt;
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                                        &lt;strong&gt;Watch AI and SaaS pricing leaders at Monetize 2026 (Sponsor)&lt;/strong&gt;
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                                    Leaders from Replit, Fin, Snowflake, Clay, and Growth Unhinged discuss what to meter, when to revisit a pricing model, and how to forecast AI costs and returns. &lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgo.stripe.global%2Fmonetize-2026-on-demand%3Futm_campaign=TAmp0kb8Yx4vqA9YGTi8ow0Tg/2/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/z_Q0zGUChscwOm20dnLdgZ-w_JJ4-oJX4AZjDWejH6o=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;&lt;strong&gt;Watch the recorded sessions.&lt;/strong&gt;&lt;/span&gt;&lt;/a&gt;
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                                        &lt;strong&gt;Claude Adds OpenTelemetry for Agent Observability (4 minute read)&lt;/strong&gt;
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                                    Anthropic added OpenTelemetry tracing across Claude Managed Agents, the Messages API, and Claude SDKs.
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                                    Join the Meta Global AI Developer Hackathon: build the future of superintelligence on Oct 26 through Nov 4. Ten days, $1M in prizes, Meta's newest models, virtual and worldwide. Apply by Oct 25.&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fcerebralvalley.ai%2Fe%2Fmeta-ai-developer-hackathon%3Futm_source=tldr-ai%26utm_medium=newsletter%26utm_campaign=meta-ai-developer-hackathon%26utm_content=main/2/010001a13fc183de-b611cbe3-946d-42a9-849f-b424927982f8-000000/vywUNe3HQXBoiPgz_e1JIje-blpOxarda6kByENknZI=452" rel="noopener noreferrer nofollow" target="_blank"&gt;&lt;span&gt;Apply Here&lt;/span&gt;&lt;/a&gt;


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                                    HiRO-ACEv2 simulates extreme weather at high accuracy and generates global 3 km climate data at 1/300th the cost of X-SHiELD.
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