<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Hype Tracker</title><description>Independent analysis on AI breakthroughs, hype cycles, and reality checks on artificial intelligence.</description><link>https://aihypetracker.com/</link><language>en-us</language><item><title>GPT-5 release: capability deltas vs the narrative</title><link>https://aihypetracker.com/articles/gpt5-release-capability-deltas-vs-narrative/</link><guid isPermaLink="true">https://aihypetracker.com/articles/gpt5-release-capability-deltas-vs-narrative/</guid><description>Measured comparison of what shipped against the pre-release framing — and why the &quot;phase transition&quot; rhetoric mostly didn&apos;t survive contact with the benchmarks.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate></item><item><title>Reasoning models — o1 → o3 → DeepSeek R1 → Claude Opus 4.x thinking</title><link>https://aihypetracker.com/articles/reasoning-models-o1-o3-r1-claude-opus-thinking/</link><guid isPermaLink="true">https://aihypetracker.com/articles/reasoning-models-o1-o3-r1-claude-opus-thinking/</guid><description>What&apos;s actually new in the reasoning-model wave, where the capability ceilings sit, and which benchmarks are starting to get gamed.</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate></item><item><title>Agentic coding: Cursor, Devin, Claude Code, Replit Agent — adoption data vs marketing decks</title><link>https://aihypetracker.com/articles/agentic-coding-cursor-devin-claude-code-replit/</link><guid isPermaLink="true">https://aihypetracker.com/articles/agentic-coding-cursor-devin-claude-code-replit/</guid><description>Where the published adoption metrics actually land for each agentic coding product, and what gets quietly conflated when vendors talk &quot;AI software engineer.&quot;</description><pubDate>Sat, 02 May 2026 00:00:00 GMT</pubDate></item><item><title>The DeepSeek pressure: have inference prices actually collapsed?</title><link>https://aihypetracker.com/articles/deepseek-pressure-have-inference-prices-collapsed/</link><guid isPermaLink="true">https://aihypetracker.com/articles/deepseek-pressure-have-inference-prices-collapsed/</guid><description>Three months after the price-war narrative crystallized, what&apos;s happened to enterprise inference economics — and what the frontier labs&apos; price-card revisions actually reveal.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate></item><item><title>SWE-bench is broken: how coding evals get gamed and what replaces them</title><link>https://aihypetracker.com/articles/swe-bench-is-broken-gaming-and-replacements/</link><guid isPermaLink="true">https://aihypetracker.com/articles/swe-bench-is-broken-gaming-and-replacements/</guid><description>How the canonical agentic-coding benchmark is being optimized against, the Anthropic eval-paper findings, and what credible coding-eval looks like from 2026 onward.</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI productivity papers: Goldman, MIT, BCG — what they actually show and don&apos;t</title><link>https://aihypetracker.com/articles/ai-productivity-papers-goldman-mit-bcg/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-productivity-papers-goldman-mit-bcg/</guid><description>The three most-cited 2024-2026 papers on AI productivity contribution, the methodological caveats their summaries skip, and what would constitute durable productivity evidence.</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate></item><item><title>The capex-revenue gap: $200B AI spend vs ~$40B AI revenue (2025)</title><link>https://aihypetracker.com/articles/capex-revenue-gap-200b-vs-40b/</link><guid isPermaLink="true">https://aihypetracker.com/articles/capex-revenue-gap-200b-vs-40b/</guid><description>Sequoia, Stripe, and the FT have all run the math on the 2025 AI capex-revenue divergence. The numbers are not seriously disputed — what they imply is.</description><pubDate>Sat, 18 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Open-weight momentum: Llama 4, Qwen 3, DeepSeek V3 — share-eating?</title><link>https://aihypetracker.com/articles/open-weight-momentum-llama-4-qwen-deepseek-v3/</link><guid isPermaLink="true">https://aihypetracker.com/articles/open-weight-momentum-llama-4-qwen-deepseek-v3/</guid><description>Open-weight model adoption metrics from HuggingFace, Together, and Fireworks: where the closed-vs-open share is genuinely moving and where the narrative outruns the data.</description><pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate></item><item><title>AI agents in the enterprise: ROI signals at the 18-month mark</title><link>https://aihypetracker.com/articles/ai-agents-enterprise-roi-18-month-mark/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-agents-enterprise-roi-18-month-mark/</guid><description>The 2024-deployment cohort of enterprise AI agents is now hitting 18 months in production. What the Gartner / IDC / a16z surveys actually show — and where they&apos;re self-selected.</description><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate></item><item><title>The AI bubble question, 2026 edition</title><link>https://aihypetracker.com/articles/ai-bubble-question-2026-edition/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-bubble-question-2026-edition/</guid><description>A measured walk through the 2026 state of the bubble debate — capex, revenue, valuations, capability deltas, alternative-cycle comparisons — without taking a side.</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate></item><item><title>OpenAI’s trajectory: funding rounds, product velocity, and the competitive chessboard (2024–2026)</title><link>https://aihypetracker.com/articles/openai-trajectory-funding-competition-2024/</link><guid isPermaLink="true">https://aihypetracker.com/articles/openai-trajectory-funding-competition-2024/</guid><description>How capital structure, enterprise adoption, and frontier model releases shaped OpenAI’s path—and what rivals, regulators, and customers should watch next.</description><pubDate>Tue, 18 Nov 2025 00:00:00 GMT</pubDate></item><item><title>Anthropic, Constitutional AI, and the enterprise bet on steerability</title><link>https://aihypetracker.com/articles/anthropic-constitutional-ai-enterprise-focus/</link><guid isPermaLink="true">https://aihypetracker.com/articles/anthropic-constitutional-ai-enterprise-focus/</guid><description>How Anthropic frames alignment as a product feature, why enterprises care about refusals and long-context workflows, and where Claude fits in the competitive stack.</description><pubDate>Tue, 07 Oct 2025 00:00:00 GMT</pubDate></item><item><title>Google DeepMind and Gemini: integration promise, product friction, and enterprise reality</title><link>https://aihypetracker.com/articles/google-deepmind-gemini-integration-challenges/</link><guid isPermaLink="true">https://aihypetracker.com/articles/google-deepmind-gemini-integration-challenges/</guid><description>Why combining frontier research with Google-scale distribution creates unique coordination challenges—and what buyers should validate beyond benchmarks.</description><pubDate>Mon, 29 Sep 2025 00:00:00 GMT</pubDate></item><item><title>RAG patterns for enterprise AI: retrieval architecture, failure modes, and production-grade guardrails</title><link>https://aihypetracker.com/articles/rag-patterns-enterprise-ai-architecture/</link><guid isPermaLink="true">https://aihypetracker.com/articles/rag-patterns-enterprise-ai-architecture/</guid><description>How retrieval-augmented generation actually ships inside companies—from chunking and embeddings to hybrid search, access control, and the prompt-injection battleground.</description><pubDate>Wed, 17 Sep 2025 00:00:00 GMT</pubDate></item><item><title>Job displacement versus augmentation: how to read the labor-market debate in the LLM era</title><link>https://aihypetracker.com/articles/job-displacement-vs-augmentation-debate/</link><guid isPermaLink="true">https://aihypetracker.com/articles/job-displacement-vs-augmentation-debate/</guid><description>Economists, founders, and workers disagree on whether AI will mostly replace jobs or amplify them. We map the evidence, the mechanisms, and what employers should plan for between 2024 and 2030.</description><pubDate>Wed, 10 Sep 2025 00:00:00 GMT</pubDate></item><item><title>Open weights versus closed APIs: the real tradeoffs behind the AI deployment debate</title><link>https://aihypetracker.com/articles/open-source-vs-closed-models-landscape/</link><guid isPermaLink="true">https://aihypetracker.com/articles/open-source-vs-closed-models-landscape/</guid><description>A sober look at transparency, safety liability, operational burden, and enterprise procurement when choosing between downloadable models and hosted frontier APIs.</description><pubDate>Tue, 02 Sep 2025 00:00:00 GMT</pubDate></item><item><title>The AI chip market in motion: NVIDIA’s lead, AMD’s challenge, and the rise of custom silicon (2024–2026)</title><link>https://aihypetracker.com/articles/ai-chip-market-nvidia-amd-custom-silicon/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-chip-market-nvidia-amd-custom-silicon/</guid><description>How accelerator economics, software ecosystems, and hyperscaler-designed ASICs are reshaping who captures value in AI training and inference—and what buyers should expect next.</description><pubDate>Fri, 22 Aug 2025 00:00:00 GMT</pubDate></item><item><title>China’s AI strategy and capabilities: an assessment of talent, data, chips, and deployment constraints</title><link>https://aihypetracker.com/articles/china-ai-strategy-capabilities-assessment/</link><guid isPermaLink="true">https://aihypetracker.com/articles/china-ai-strategy-capabilities-assessment/</guid><description>A balanced look at how China’s national AI agenda, industrial base, and market scale interact with semiconductor limits, export controls, and internal regulatory priorities.</description><pubDate>Tue, 19 Aug 2025 00:00:00 GMT</pubDate></item><item><title>GPT-4, Claude 3, Gemini Ultra, and Llama 3: what benchmarks actually measure—and what they miss</title><link>https://aihypetracker.com/articles/gpt4-claude3-gemini-llama3-benchmark-landscape/</link><guid isPermaLink="true">https://aihypetracker.com/articles/gpt4-claude3-gemini-llama3-benchmark-landscape/</guid><description>A practitioner’s guide to comparing frontier models across reasoning, coding, multimodal tasks, and safety—without mistaking leaderboard scores for product fit.</description><pubDate>Thu, 14 Aug 2025 00:00:00 GMT</pubDate></item><item><title>xAI and Tesla under Elon Musk: ambitious AI claims, execution pressure, and the delivery gap</title><link>https://aihypetracker.com/articles/xai-tesla-ambitious-claims-delivery/</link><guid isPermaLink="true">https://aihypetracker.com/articles/xai-tesla-ambitious-claims-delivery/</guid><description>An editorial analysis of how xAI’s Grok roadmap and Tesla’s autonomy and robotics narratives intersect—what has shipped, what remains contested, and how investors and buyers should read the hype cycle.</description><pubDate>Thu, 07 Aug 2025 00:00:00 GMT</pubDate></item><item><title>U.S. executive orders and agency guidance on AI: a map of federal signals for builders and buyers</title><link>https://aihypetracker.com/articles/us-executive-orders-agency-guidance-ai/</link><guid isPermaLink="true">https://aihypetracker.com/articles/us-executive-orders-agency-guidance-ai/</guid><description>How White House directives and U.S. regulator guidance shaped AI governance, procurement, safety expectations, and sector-specific compliance from 2023 through 2026.</description><pubDate>Tue, 22 Jul 2025 00:00:00 GMT</pubDate></item><item><title>AI safety institutes: research agendas, oversight mechanisms, and the tension with commercial pace (2024–2026)</title><link>https://aihypetracker.com/articles/ai-safety-institute-research-oversight/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-safety-institute-research-oversight/</guid><description>How national AI safety bodies are shaping evaluations, standards, and information-sharing—and what enterprises should expect as policy intersects with frontier model deployment.</description><pubDate>Wed, 04 Jun 2025 00:00:00 GMT</pubDate></item><item><title>‘AI will solve healthcare, law, and coding’: a sector-by-sector reality check</title><link>https://aihypetracker.com/articles/ai-will-solve-healthcare-law-coding-examined/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-will-solve-healthcare-law-coding-examined/</guid><description>Headlines promise end-to-end automation of medicine, legal practice, and software engineering. Here is what actually changes first—workflow, liability, incentives—and what stubbornly remains human, professionally and ethically.</description><pubDate>Wed, 04 Jun 2025 00:00:00 GMT</pubDate></item><item><title>RLHF and modern alignment techniques: reward modeling, preference optimization, and what ‘helpful’ really costs</title><link>https://aihypetracker.com/articles/rlhf-alignment-techniques-deep-dive/</link><guid isPermaLink="true">https://aihypetracker.com/articles/rlhf-alignment-techniques-deep-dive/</guid><description>From classical reinforcement learning from human feedback to DPO, constitutional training, and critique-based pipelines—how alignment layers shape model behavior and where the field is heading.</description><pubDate>Wed, 04 Jun 2025 00:00:00 GMT</pubDate></item><item><title>Startup valuations meet revenue: a reality check on AI company multiples, margins, and sustainability</title><link>https://aihypetracker.com/articles/startup-valuations-revenue-reality-check/</link><guid isPermaLink="true">https://aihypetracker.com/articles/startup-valuations-revenue-reality-check/</guid><description>Why AI startups trade on different fundamentals than classic SaaS, how inference costs distort unit economics, and what investors and founders should scrutinize before believing the sticker price.</description><pubDate>Tue, 03 Jun 2025 00:00:00 GMT</pubDate></item><item><title>AGI timelines: expert predictions, survey evidence, and how to read them without losing your mind</title><link>https://aihypetracker.com/articles/agi-timelines-expert-predictions-realistic-assessments/</link><guid isPermaLink="true">https://aihypetracker.com/articles/agi-timelines-expert-predictions-realistic-assessments/</guid><description>From Metaculus forecasts to lab roadmaps, we unpack what people mean by AGI, why timeline estimates diverge by decades, and how to translate prediction markets into planning—not prophecy.</description><pubDate>Sat, 22 Mar 2025 00:00:00 GMT</pubDate></item><item><title>Transformer architecture evolution (2017–2024): from &apos;Attention Is All You Need&apos; to trillion-parameter stacks</title><link>https://aihypetracker.com/articles/transformer-architecture-evolution-2017-2024/</link><guid isPermaLink="true">https://aihypetracker.com/articles/transformer-architecture-evolution-2017-2024/</guid><description>A technical tour of how the original Transformer blueprint became the substrate for GPT-class models, efficiency innovations, and the engineering tradeoffs that define modern LLM stacks.</description><pubDate>Sat, 22 Mar 2025 00:00:00 GMT</pubDate></item><item><title>Export controls on AI chips: geopolitics, compliance, and second-order effects for the global market (2024–2026)</title><link>https://aihypetracker.com/articles/export-controls-ai-chips-geopolitics/</link><guid isPermaLink="true">https://aihypetracker.com/articles/export-controls-ai-chips-geopolitics/</guid><description>How semiconductor restrictions reshape cloud geography, startup strategy, and enterprise procurement—and why compliance is only the entry fee to a much larger strategic puzzle.</description><pubDate>Wed, 19 Mar 2025 00:00:00 GMT</pubDate></item><item><title>EU AI Act: a practical requirements and compliance guide for teams building and deploying AI systems</title><link>https://aihypetracker.com/articles/eu-ai-act-requirements-compliance-guide/</link><guid isPermaLink="true">https://aihypetracker.com/articles/eu-ai-act-requirements-compliance-guide/</guid><description>What the European Union’s Artificial Intelligence Act means for providers, deployers, and downstream users—risk tiers, documentation, conformity, and operational steps through 2026.</description><pubDate>Tue, 04 Mar 2025 00:00:00 GMT</pubDate></item><item><title>The Big Tech AI arms race: a structured comparison of strategies across Microsoft, Google, Amazon, Meta, and Apple</title><link>https://aihypetracker.com/articles/big-tech-ai-arms-race-comparison/</link><guid isPermaLink="true">https://aihypetracker.com/articles/big-tech-ai-arms-race-comparison/</guid><description>How hyperscalers and platform giants are betting on foundation models, cloud distribution, open weights, and on-device intelligence—and where their incentives align or collide.</description><pubDate>Fri, 14 Feb 2025 00:00:00 GMT</pubDate></item><item><title>Model quantization and deployment optimization: INT8, GPTQ, and the inference economics of production LLMs</title><link>https://aihypetracker.com/articles/model-quantization-deployment-optimization/</link><guid isPermaLink="true">https://aihypetracker.com/articles/model-quantization-deployment-optimization/</guid><description>How post-training quantization, hardware-aware kernels, and serving strategies shrink latency and cost—without pretending precision loss is free.</description><pubDate>Thu, 30 Jan 2025 00:00:00 GMT</pubDate></item><item><title>Is another AI winter coming? Definitions, funding cycles, and what would actually freeze progress</title><link>https://aihypetracker.com/articles/ai-winter-question-possibility-2024/</link><guid isPermaLink="true">https://aihypetracker.com/articles/ai-winter-question-possibility-2024/</guid><description>After years of headline breakthroughs, skeptics ask whether hype outran fundamentals. We dissect the ‘AI winter’ concept, compare past busts to today’s compute-and-data regime, and outline plausible slowdown scenarios through 2026.</description><pubDate>Sat, 30 Nov 2024 00:00:00 GMT</pubDate></item><item><title>Copyright, training data, and generative AI: an analysis of lawsuits, doctrines, and what builders should expect next</title><link>https://aihypetracker.com/articles/copyright-training-data-lawsuits-analysis/</link><guid isPermaLink="true">https://aihypetracker.com/articles/copyright-training-data-lawsuits-analysis/</guid><description>How courts and regulators approached copying, fair use, licensing, and opt-out regimes for web-scale training—plus practical implications for model developers and enterprises through 2026.</description><pubDate>Thu, 14 Nov 2024 00:00:00 GMT</pubDate></item><item><title>Enterprise AI adoption: an ROI reality check beyond pilots and press releases (2024–2026)</title><link>https://aihypetracker.com/articles/enterprise-ai-adoption-roi-reality-check/</link><guid isPermaLink="true">https://aihypetracker.com/articles/enterprise-ai-adoption-roi-reality-check/</guid><description>Why productivity gains from generative AI are uneven, how hidden costs erode returns, and what disciplined measurement looks like for leaders who want durable outcomes—not slide-deck optimism.</description><pubDate>Thu, 07 Nov 2024 00:00:00 GMT</pubDate></item><item><title>VC funding trends in AI (2020–2024): waves, valuations, and what changed after generative AI went mainstream</title><link>https://aihypetracker.com/articles/vc-funding-trends-ai-2020-2024/</link><guid isPermaLink="true">https://aihypetracker.com/articles/vc-funding-trends-ai-2020-2024/</guid><description>A data-grounded tour of venture capital flows into AI from the pre-LLM era through the generative boom—what drove rounds, how valuations behaved, and which patterns look durable versus cyclical.</description><pubDate>Thu, 07 Nov 2024 00:00:00 GMT</pubDate></item></channel></rss>