{"id":15992,"date":"2025-11-21T06:20:35","date_gmt":"2025-11-20T23:20:35","guid":{"rendered":"https:\/\/www.aithoth.com\/?p=15992"},"modified":"2025-11-25T10:12:52","modified_gmt":"2025-11-25T03:12:52","slug":"whats-new-november-2025","status":"publish","type":"post","link":"https:\/\/www.aithoth.com\/index.php\/whats-new-november-2025\/","title":{"rendered":"What\u2019s New November 2025\u00a0"},"content":{"rendered":"\t\t
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What\u2019s New November 2025\u00a0<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tNovember 21, 2025\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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More companies are shifting from experimentation to embedding AI into their business workflows in real ways. According to the latest McKinsey & Company survey, 88% of <\/span>organizations<\/span> now report regular AI use in at least one business function (up from 78% the previous year). <\/span><\/span>\u00a0<\/span>
<\/span>That means for Thoth AI, our mission of delivering scalable, reliable fine-tuning and evaluation solutions is getting an even stronger resonance.\u00a0<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Infrastructure And Compute Demands Are Surging<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The tech world is seeing a sharp increase in demand for GPU fleets, memory, high-throughput storage, and orchestration systems. Per the latest article on macro-tech trends, with reference to the November edition of the Thoughtworks Ltd. Technology Radar, training large models or running inference at scale is no longer niche. <\/span><\/span>\u00a0<\/span>
<\/span>For Thoth AI, that means our infrastructure partnerships, model-deployment workflow <\/span>optimization<\/span>, and cost-efficiency practices are even more critical. We can help clients manage the shift from model research to real-world deployment.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Regulation Is Heating Up<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In Europe, the Artificial Intelligence Act <\/span>is<\/span> closely watched. The European Commission is considering stretching or easing compliance timelines in reaction to industry and geopolitical pressures. <\/span><\/span>\u00a0<\/span>
<\/span>That means clients working globally need partners who understand regulatory risks and can embed governance, traceability, and compliance into their AI workflows. As Thoth AI, we are right in our core value, \u201csafety and trust<\/span>\u201d.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Generative, Agentic, And Multimodal AI Are Advancing<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Models that can reason, act (rather than just react), and handle text + images + audio are increasingly the norm. The Q3 2025 global report notes that \u201cagentic AI\u201d <\/span>spend<\/span>,<\/span> and deployment are accelerating strongly. <\/span><\/span>\u00a0<\/span>
<\/span>For our work at Thoth AI, this means moving our services beyond \u201cjust fine-tune a language model\u201d and offering \u201cmodel + agentic workflow + monitoring + alignment\u201d packages that deliver <\/span>real business<\/span> value.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The Investment Narrative Is Shifting <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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While investment in AI <\/span>remains<\/span> strong, there is a growing debate about whether we are entering a \u201cbubble\u201d given the hype, infrastructure costs, and unclear ROI for many. <\/span><\/span>\u00a0<\/span>
<\/span>For Thoth AI, our message to <\/span>clients <\/span>is<\/span> this<\/span> is about embedding AI responsibly, aligning with business strategy, preparing for global scale, and managing change. That is what separates long-term winners from short-term wins.<\/span><\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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What\u2019s To Come <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Embedding AI across every vertical<\/span><\/b>\u00a0<\/span><\/p>

Over the next 12-24 months, we expect to see more companies in sectors such as healthcare, finance, logistics, and manufacturing shifts from \u201cwe have a proof of concept\u201d to \u201cthis model powers something real\u201d. If you combine that with what McKinsey found \u2014 high-performing organizations redesign workflows and commit budget to AI \u2014 then you see a clear alignment with Thoth\u2019s expertise. <\/span>\u00a0
We will therefore strengthen our offering in vertical-specific fine-tuning, evaluation frameworks, operational monitoring, and cultural change support.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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More rigorous governance and traceability<\/span><\/b>\u00a0<\/span><\/p>

As regulation catches up, as even internal enterprise risk units demand better audit logs and traceability of AI decisions, the need for embedded \u201chuman-in-loop \/ human-validation\u201d systems will increase.<\/span>\u00a0
That means Thoth AI will expand its evaluation frameworks, documentation practices, and tooling for model governance, bias detection, and safe deployment. We\u2019ll also scale our multilingual, cross-cultural evaluation capacity (which aligns with our global perspective value).<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Focus on infrastructure, model optimization, and cost efficiency<\/span><\/b>\u00a0<\/span><\/p>

Given the compute demands and cost pressures, optimizing models for latency, memory footprint, and energy usage will become more central. Also, edge deployments, hybrid cloud-on-prem pipelines, and federated learning will grow.<\/span>\u00a0
Thoth AI will continue investing in partnerships and expertise, advising clients on models that scale in their contexts.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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From generative to agentic to autonomous workflows<\/span><\/b>\u00a0<\/span><\/p>

The move is going from \u201cmodel outputs text\u201d to \u201cmodel plans, executes, monitors, adapts\u201d. That means we will see more agentic systems, models that handle multi-step workflows rather than single prompts. <\/span>\u00a0
For Thoth AI, our offering will evolve from fine-tuning chatbots to fine-tuning agent frameworks, workflow orchestration, multi-modal inputs and outputs, all wrapped in our safe, trusted, expert-led delivery.<\/span>\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Global scale with local nuance<\/span><\/b>\u00a0<\/span><\/p>

With our global perspective pillar, we see more organizations demanding AI solutions that are not just English-language or US-centric. They want culturally adapted, multilingual models, evaluation across jurisdictions, and compliance with regional regulations. As regulations diverge (Europe, UK, US, Asia) and as AI products globalize, the demand for partners who bring human expertise plus technical muscle becomes crucial.<\/span>\u00a0
We will continue to build our multilingual SME network, evaluate across languages and markets, and create frameworks supporting global rollout.<\/span>\u00a0<\/span><\/p>

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Why This Matters for Thoth AI Clients <\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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