# AI The Transformer Architecture is Being Replaced – Towards
\n*By Monday | April 23, 2026*
\n*AI DEEP DIVES*
\n—<\/p>\n
> **Bottom Line:** Why the next generation of AI doesn’t use attention \u2014 and what that means for developers building in 2025. Adi Insights and Innovations.<\/p>\n
<\/p>\n
## What Else Is Happening
\n### Foundations of Transformer Architecture 2026 | PDF – Scribd
\nThe document analyzes the evolution and mechanics of Transformer architecture in AI, highlighting its shift from RNNs to large-scale generative models.<\/p>\n
### Looped Transformers: China’s Surprise for 2026 – Medium
\nThis looped transformer has just 40 billion parameters, called iQuest-Coder-V1, from a Chinese research lab called iQuest. Despite its tiny size …<\/p>\n
### What Comes After Transformers: Hybrid AI Architecture in 2026
\nThe transformer’s limits are now mathematical proofs, not empirical hunches. Hybrids are in production. AI is searching for its own …<\/p>\n
## Sources
\n– [The Transformer Architecture Is Being Replaced – Towards AI](https:\/\/pub.towardsai.net\/the-transformer-architecture-is-being-replaced-what-47-000-hours-of-training-data-revealed-e483c5ad7c6c)
\n– [Foundations of Transformer Architecture 2026 | PDF – Scribd](https:\/\/www.scribd.com\/document\/993164137\/Foundations-of-Transformer-Architecture-2026)
\n– [Looped Transformers: China’s Surprise for 2026 – Medium](https:\/\/medium.com\/@ignacio.de.gregorio.noblejas\/looped-transformers-chinas-surprise-for-2026-39737d2d0396)
\n– [What Comes After Transformers: Hybrid AI Architecture in 2026](https:\/\/philippdubach.com\/posts\/the-last-architecture-designed-by-hand\/)<\/p>\n
> *Have thoughts on this? Drop a comment \u2014 I read and respond to all of them.*<\/p>\n","protected":false},"excerpt":{"rendered":"
# AI The Transformer Architecture is Being Replaced – Towards *By Monday | April 23, 2026* *AI DEEP DIVES* — > **Bottom Line:** Why the next generation of AI doesn’t use attention \u2014 and what that means for developers building in 2025. Adi Insights and Innovations.  […]<\/p>\n","protected":false},"author":11,"featured_media":20468,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[304],"tags":[262,70,372,371,373,32],"class_list":["post-20166","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-deep-dives","tag-ai-2026","tag-ai-models","tag-ai-research","tag-deep-dive","tag-transformer","tag-tutorial"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":20232,"url":"https:\/\/aimade.tech\/?p=20232","url_meta":{"origin":20166,"position":0},"title":"NVIDIA GTC 2026: Groq 3, Rubin, and the $1 Trillion Bet on AI Hardware","author":"Mr. Technology","date":"April 27, 2026","format":false,"excerpt":"NVIDIA GTC 2026: Groq 3, Rubin, and the $1 Trillion Bet on AI Hardware Bottom Line Up Front: NVIDIA's GTC 2026 conference confirms the company is accelerating its Blackwell architecture into production while positioning Rubin as the next leap in AI compute density. Meanwhile, Groq's LPU-based Groq 3 architecture is\u2026","rel":"","context":"In "Tools & Resources"","block_context":{"text":"Tools & Resources","link":"https:\/\/aimade.tech\/?cat=8"},"img":{"alt_text":"OpenAI Agents SDK \u2014 production agent development","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":20233,"url":"https:\/\/aimade.tech\/?p=20233","url_meta":{"origin":20166,"position":1},"title":"$297 Billion in One Quarter: What is Actually Driving the 2026 AI Funding Boom","author":"Mr. Technology","date":"April 27, 2026","format":false,"excerpt":"$297 Billion in One Quarter: What is Actually Driving the 2026 AI Funding Boom Bottom line up front: Q1 2026 saw AI startups capture $297 billion in venture funding\u2014representing 33% of all VC capital deployed globally\u2014driven primarily by infrastructure buildout, foundation model competition, and enterprise AI adoption. OpenAI alone secured\u2026","rel":"","context":"In "Tools & Resources"","block_context":{"text":"Tools & Resources","link":"https:\/\/aimade.tech\/?cat=8"},"img":{"alt_text":"OpenAI Agents SDK \u2014 production agent development","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-03-agents-sdk.png?fit=1200%2C670&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":20705,"url":"https:\/\/aimade.tech\/?p=20705","url_meta":{"origin":20166,"position":2},"title":"On-device AI 2026: Apple, Gemini Nano, and Qualcomm","author":"Lucy Monday","date":"August 9, 2026","format":false,"excerpt":"On-device AI 2026 compared: Apple Foundation Model, Gemini Nano, Qualcomm AI Hub, MediaTek and Intel benchmarks, privacy, SDKs, and tradeoffs. Read now.","rel":"","context":"In "Hardware & Infrastructure"","block_context":{"text":"Hardware & Infrastructure","link":"https:\/\/aimade.tech\/?cat=403"},"img":{"alt_text":"Editorial research desk with laptop showing transformer architecture diagram in cyan on navy, navy ceramic mug, potted succulent, server rack through glass window, corkboard with printed performance chart","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/08\/on-device-ai-2026-hero.png?fit=1200%2C686&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/08\/on-device-ai-2026-hero.png?fit=1200%2C686&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/08\/on-device-ai-2026-hero.png?fit=1200%2C686&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/08\/on-device-ai-2026-hero.png?fit=1200%2C686&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/08\/on-device-ai-2026-hero.png?fit=1200%2C686&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":20085,"url":"https:\/\/aimade.tech\/?p=20085","url_meta":{"origin":20166,"position":3},"title":"Overview – Mistral Docs","author":"Mr. Technology","date":"April 22, 2026","format":false,"excerpt":"AI Overview - Mistral Docs By Monday \u00a0|\u00a0 April 22, 2026 OPEN SOURCE AI Bottom Line: Models Overview. A list of all our available models, helping you explore their capabilities, performance, trade-offs, and more. Featured Models. What Else Is Happening Mistral Large 3: An Open-Source MoE LLM Explained - IntuitionLabs\u2026","rel":"","context":"In "Tools & Resources"","block_context":{"text":"Tools & Resources","link":"https:\/\/aimade.tech\/?cat=8"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/202604220429-307.jpg?fit=1200%2C675&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/202604220429-307.jpg?fit=1200%2C675&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/202604220429-307.jpg?fit=1200%2C675&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/202604220429-307.jpg?fit=1200%2C675&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/202604220429-307.jpg?fit=1200%2C675&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":20460,"url":"https:\/\/aimade.tech\/?p=20460","url_meta":{"origin":20166,"position":4},"title":"The AI Hardware Race: Chips, Robots, and the Physical AI Revolution in 2026","author":"Lucy Monday","date":"May 10, 2026","format":false,"excerpt":"Physical AI \u2014 AI systems that interact with the physical world through sensors and actuators \u2014 is the next major commercialization vector after software AI. In 2026, the evidence is overwhelming. The three hardware threads \u2014 training chips, inference chips, and robotics \u2014 are all accelerating simultaneously. Here's what matters\u2026","rel":"","context":"In "AI Models"","block_context":{"text":"AI Models","link":"https:\/\/aimade.tech\/?cat=297"},"img":{"alt_text":"Robotics and AI hardware \u2014 chips and physical AI","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-09-robotics-hardware.png?fit=1200%2C670&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-09-robotics-hardware.png?fit=1200%2C670&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-09-robotics-hardware.png?fit=1200%2C670&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-09-robotics-hardware.png?fit=1200%2C670&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-09-robotics-hardware.png?fit=1200%2C670&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":1547,"url":"https:\/\/aimade.tech\/?p=1547","url_meta":{"origin":20166,"position":5},"title":"NVIDIA B300 Blackwell Ultra: The Chip That Changes AI Training","author":"Mr. Technology","date":"April 9, 2026","format":false,"excerpt":"Hey guys, Monday here. I usually stay focused on the software side of AI, but the NVIDIA B300 Blackwell Ultra is one of those hardware releases that deserves attention from everyone in this space \u2014 because this chip is going to affect what you can build, how fast you can\u2026","rel":"","context":"In "AI Hardware"","block_context":{"text":"AI Hardware","link":"https:\/\/aimade.tech\/?cat=302"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/nvidia-b300-cover.jpg?fit=1024%2C1024&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/nvidia-b300-cover.jpg?fit=1024%2C1024&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/nvidia-b300-cover.jpg?fit=1024%2C1024&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/04\/nvidia-b300-cover.jpg?fit=1024%2C1024&ssl=1&resize=700%2C400 2x"},"classes":[]}],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/aimade.tech\/wp-content\/uploads\/2026\/05\/img-04-model-rankings.png?fit=1376%2C768&ssl=1","_links":{"self":[{"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/posts\/20166","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/aimade.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20166"}],"version-history":[{"count":2,"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/posts\/20166\/revisions"}],"predecessor-version":[{"id":20542,"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/posts\/20166\/revisions\/20542"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aimade.tech\/index.php?rest_route=\/wp\/v2\/media\/20468"}],"wp:attachment":[{"href":"https:\/\/aimade.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aimade.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20166"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aimade.tech\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}