<?xml version='1.0' encoding='utf-8'?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"><url><loc>https://frontieraireview.com/articles/datology-curation-studio-training-budget/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Datology: Better training data could make a smaller model the better buy</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/deepseek-v41-flash-asymmetric-model-economics/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>DeepSeek V4.1 Flash: Cheaper AI memory could change what your model remembers</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/dflash-two-speculative-decoding-verification-economics/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Inco AI’s DFlash 2 speeds up answers by making better guesses for the same model</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/embeddinggemma2-shared-space-model-building/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>EmbeddingGemma 2: Better AI answers can start with finding the missing evidence</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/factory-legacy-bench-verification-gap/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Factory: Your old test cases may be the key to trusting AI-written repairs</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/flashattention-four-training-speed-experiment-budget/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>FlashAttention-4: Faster GPUs need smarter software to speed up AI training</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/gemini-robotics2-transfer-cost-vla/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Gemini Robotics 2: A new robot should not mean starting AI training again</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/gpt61-sol-capability-price-frontier/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>GPT-6.1 Sol: The biggest AI saving may come from changing your default model</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/haiku55-small-model-information-boundaries/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Haiku 5.5: Cheaper AI can lose the evidence your strongest model needs</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/harvey-lab-hallucination-gated-model-evaluation/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Harvey’s AI test: One invented fact can cancel an otherwise complete answer</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/mecka-human-demonstrations-model-training/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Mecka: Robot-training data is worth more when it teaches a skill, not just records one</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/mercor-human-baselines-autonomy-accounting/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Mercor: Beating accountants on a test is not yet proof of cheaper accounting</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/mistral-large4-preview-control-before-weights/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Mistral Large 4: Smarter reasoning cannot fix a misread document</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/mistral-large4-rl-curriculum-training/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Mistral: A stronger model needs harder lessons—not just more training</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/nemo-data-designer-dataset-specification/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>NVIDIA: Synthetic data needs a quality specification before it needs scale</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/nemotron-ultra-fp4-pretraining-precision-budget/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>NVIDIA: Cheaper training arithmetic could buy more experiments—not just bigger models</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/openai-ironclad-autonomy-rubric-completion/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>OpenAI and Ironclad: One missed business rule can erase an AI agent’s progress</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/physical-intelligence-pi07-steering-models/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Physical Intelligence’s π0.7: Teach a robot a new task before retraining it</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/prism-bonsai-two-compression-deployment-boundary/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>PrismML’s smaller model could bring useful AI onto hardware you already own</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/reflection-beam-reasoning-efficiency-training-investment/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Reflection’s Beam: Shorter reasoning only saves money if the answer still works</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/revisql-posttraining-expertise-reward-business/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Thinking Machines and UIUC: Better tests can teach AI what more examples cannot</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/sglang-nvfp4-cache-capacity/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>SGLang: Smaller AI memory can serve more users—if the extra errors are affordable</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/snorkel-data-environments-model-curriculum/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Snorkel AI: An agent learns what the reward accepts—not necessarily what the business needs</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/surge-gdp-xlsx-models-spreadsheet-evidence/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>Surge AI: A model can get the spreadsheet math right and still give the wrong answer</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/twelvelabs-pegasus-video-training-data/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>TwelveLabs: The value of AI video labels is the expert work they save</news:title></news:news></url><url><loc>https://frontieraireview.com/articles/vllm-disaggregation-goodput/</loc><news:news><news:publication><news:name>Frontier AI Review</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-11</news:publication_date><news:title>vLLM: Keeping AI answers on time can matter more than generating more tokens</news:title></news:news></url></urlset>