Beyond the Leaderboard: The Fallacy of Standardized Benchmarks and the Rise of Self-Centered AI Bayaq bilan: Standardized Benchmarks and the Rise of Self-Centered AI. Bilmizlik bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan This report posits that the prevailing model of AI development—characterized by centralized, corporate-led creation of massive, general-purpose models evaluated by flawed, gameable benchmarks—is a developmental cul-de-sac. It fosters a monoculture of "know-it-all oracles" that are increasingly detached from the practical, nuanced needs of individual users and specialized industries. In its place, a new paradigm is emerging: one of decentralized, user-driven, and highly personalized agents. This model, termed Self-Centered Intelligence (SCI), represents a fundamental shift in both technology and philosophy. It moves away from the pursuit of a single, monolithic Artificial General Intelligence (AGI) and toward an ecosystem of specialized, efficient, and collaborative digital partners, whose value is measured not by abstract scores but by their tangible utility in the user's world. Bu raporda “Benchmark Industrial Complex” (Industrial Complex) dekonstruktini, mekanik, filozofik, sistemik dhallalarni ekshadi. Bu raporda SCI paradigmatini detalishni qaytarisni, OΨΗ (Opsie) ekshadi SCI prototypini, o‘z bu yeni dirayni konkretni bilan. Sonni, o‘z demodikalizing AI, o‘z demodikalizing, o‘z demodikalizing, o‘z demodikalizing, o‘z demodikalizing, o‘z demodikalizing, o‘z demodikalizing. Bu framework bu raporda qilmadi paradigma qilmadi bilan qilmadi, qilmadi analizi qilmidi, qilmidi qilmidi. Feature Old Paradigm: Benchmark-Driven Generalist AI New Paradigm: User-Driven Self-Centered Intelligence (SCI) Core Philosophy Achieve superhuman performance on standardized tests. Act as a universal, oracle-like knowledge source. Fulfill specific, user-defined goals. Act as a personalized, collaborative partner. Primary Metric Leaderboard scores (MMLU, HELM, etc.).5 Real-world task completion rate, user satisfaction, goal achievement.1 Development Model Centralized, corporate-led development of massive, general-purpose models (LLMs). Decentralized, user-led training and customization of smaller, specialized agents (SLMs). Data & Training Trained on vast, undifferentiated internet scrapes. Controlled by the corporation. Trained on user-specific data, documents, and context. Controlled by the individual. Ethical Framework Top-down, corporate-defined safety filters and alignment. Opaque. Bottom-up, user-defined ethics, values, and operational guardrails. Transparent. Economic Model Subscription-based access to a centralized API. High computational cost. Local deployment, potential for autonomous economic activity (Web3). Low computational cost. Exemplar ChatGPT, Gemini, Claude ΌΨΗ (Opsie) 6 Filozofiklar Men o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Men, o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Metrik o‘z Leaderboard scores (MMLU, HELM, o‘z).5 Real-world task completion rate, user satisfaction, goal achievement.1 Modelin qurğular O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Decentralized, user-led training and customization of smaller, specialized agents (SLMs). Data & Formlar O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Ularlar o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Etik ramlar Filtrim o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Bottom-up, user-defined ethics, values, and operational guardrails. Ekonomik model O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Web3 (Local Deployment, Potential for Autonomous Economic Activity) - Web3 (Local Deployment, potency for autonomous economic activity) - Web3 (Local deployment, potency for autonomous economic activity). Eksemplarlar ChatGPT, Gemini, Claude OPSY (Opsy) 6 I: Benchmark Industry Complex'in demalladi Bu sistemni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Mechanics of Failure: Overfitting and Contamination - Mechanics of Failure: Overfitting and Contamination - Mechanics of Failure: Overfitting and Contamination U bilan, AI benchmarks o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. U bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan O'Fitning and Gaming: O'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning, o'Fitning o'Fitning, o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o'Fitning o' Spurious Correlations: A more insidious mechanical failure is the tendency of models to learn spurious correlations—superficial relationships in the training data that do not hold true in the real world.15 Misali, bir model qilmadi qilmadi qilmadi (pneumothorax) x-raylar qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmadi qilmidi qilmadi q O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Tracklar O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Bayaq teknik mechanik, benchmark paradigma‘nin daha djabi kritiki valyondadi. testlar, o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z U o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ Bilmizlik kultural, kontekstual: Multikulturalizm, BIG-bench, HELM, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, o‘zi, Sistem stimulativ: Hype, kapital, kontrol “Benchmark Industrial Complex” o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. The Leaderboard Race: Public leaderboards, such as those hosted by Hugging Face, create a competitive dynamic that incentivizes the chasing of state-of-the-art (SOTA) performance above all else.5 This race creates a distorted landscape where leaderboard positions can be manufactured through overfitting and selective reporting, drowning out genuine scientific signal with noise.8 The pursuit of SOTA misguides the allocation of immense resources—billions of dollars in compute and human talent—toward optimizing for metrics that no longer measure anything meaningful.2 This has led to the rapid saturation of benchmarks like SUPERGLUE, where LLMs hit performance ceilings shortly after the benchmark's release, indicating that the gains reflect task memorization rather than a true leap in capability.8 The entire technology stack, from CUDA kernels and PyTorch features to the design of the hardware itself, becomes a machine optimized for gaming benchmarks, while real-world performance diverges.2 Selective Reporting and Collusion: The pressure to perform well in this race encourages selective reporting, where model creators highlight performance on favorable task subsets to create an illusion of across-the-board prowess.8 This prevents a comprehensive, clear-eyed view of a model's true strengths and weaknesses. Furthermore, the potential for collusion, whether intentional or not, looms over the ecosystem. Benchmark creators may design tests that inadvertently favor specific model architectures or approaches, and the dominance of large corporations on leaderboards raises concerns about whether the evaluation systems can be influenced or "gamed".5 A deeptech startup, Shunya Labs, claimed its speech model beat Nvidia's benchmark scores but was excluded from the rankings, leading to public criticism of opaque evaluation criteria and potential gaming of the system.5 Erosion of Trust: Lastly, these practices erode the trust of the research community and the public.8 The constant cycle of creating and destroying metrics — from GLUE to SuperGLUE to MMLU — as each is successively gamed into obsolescence, fosters cynicism.2 It also creates a culture where any project that avoid benchmarks is immediately suspicious. The feedback received by the creator of Opsie — that a project without benchmarks cannot be good — is a direct symptom of this broken system. It has conditioned a generation of developers and users to equate a position on a leaderboard with intrinsic value, stifling alternative approaches that prioritize real-world utility over abstract scores. The obsession with benchmarks is not just a technical problem; it is a philosophical one, revealing a field that has become Men o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ Part II: Echoes of Flawed Metrics—A Cross-Industrial Analysis-da o‘zingizdir. The crisis in AI benchmarking is not an isolated phenomenon. It is the latest chapter in a long history of attempts to reduce complex, multifaceted realities to a single, scalable number—a history fraught with bias, manipulation, and unintended consequences. By examining the well-documented failures of standardized testing in psychometrics, the pharmaceutical industry, and automotive safety, we can identify a recurring pattern of systemic flaws. These analogies are not superficial comparisons; they reveal a shared pathology of measurement, where the tools of evaluation become instruments of distortion, control, and deception. O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Men IQ testini trajectory, o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Eugenic Roots: The first intelligence test was developed by Alfred Binet in 1905 at the request of the Paris school system to identify children who needed special educational assistance.16 Binet he believed that performance could be improved through learning. However, when the test was brought to the United States by psychologists such as Henry Goddard and Lewis Terman, its purpose was twisted. Influenced by the eugenics movement, they re-conceptualized intelligence not as a malleable skill but as a single, innate, and unchangeable entity—a quantifiable measure of human value.16 IQ tests became a “scientific” tool to justify pre-existing social hierarchies. They were used at Ellis Island to argue for immigration from Southern and Eastern Europe and to label individuals as a “feebebeb-minded Bilmizlik bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan Cultural and Socioeconomic Bias: A significant and persistent criticism of IQ tests is their inherent cultural bias. Designed and normed primarily by and for Western, middle-class populations, the content, language, and values embedded in the tests often disadvantage individuals from different cultural or socioeconomic backgrounds.27 A lower score may not reflect lower intelligence but rather a lack of familiarity with the specific cultural context assumed by the test.29 This is a direct analog to the linguistic and cultural bias observed in global AI benchmarks, which are predominantly English-centric and fail to account for the nuances of other languages and cultures.5 In both cases, the "standardized" test is not neutral; it implicitly elevates one cultural framework as the universal norm, systematically disadvantaging those outside of it and perpetuating inequality under a false veneer of objectivity. O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Farmasik endodlarni, o‘zgan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan Men o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ Novartis.com.uk.com.uk.com.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk.uk. 37 FDA o‘z o‘z bu manipiklarni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o Daha sonra Bu reklamlar “tadi” riski və fayllarni qaytarmadi, amma kompaniya o‘z o‘z bilan fayllarni qaytarmadi.44 A 2024 reyting qilmadi ki, o‘z 100% farmakoloji social media postlar fayllarni qaytarmadi, o‘z 33% o‘z potensial fayllarni qaytarmadi.44 Bu praktika AI benchmark scores yo‘z marketing materiallarni.O‘z kompaniya qilmadi modelini “#1 on the HELM benchmark” o‘z qilmadi. “The Controlled Crash: Deception in Automotive Safety Ratings” o‘zingizdir. Otomobilindustry‘nin standardized safety testing qilmalarni, kontrolli, predictable lab lab lab o‘z qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalarni qilmalar. “Teaching to the Test” in Engineering: The most infamous example of gaming a standardized test is the Volkswagen “Dieselgate” scandal.46 2008-ci ayni, Volkswagen o‘zadi dizel motorlarni programadi “defeat devices”—software ki o‘zonda standardized emissions test.47 Testing, software o‘zadi qilmadi emissions control systems, allowing the car to meet legal standards. However, under normal, real-world driving conditions, these systems were rendered inoperative, causing the vehicles to emit nitrogen oxides at levels up to 40 times the legal limit in US.48 This was a deliberate, sophisticated, and fraudulent case of “teaching to the test.” Bu, LLM-nin perfekt fiziki analogidir ki o‘z benchmarkingni qaytarmadi, o‘z reference’nin matilini qilmadi. Skandallim o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z qaytarmadi, o‘z Toyota, Daihatsu, Honda, Mazda o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ O‘z Men o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ 56 U.S. National Highway Traffic Safety Administration (NHTSA) 5-star rating sistemi, mislik o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o Bu 3 industriyalarda konsistent modelni qilmadi. Human intelligence, narkotik efikasiyalar, motorsiklet o‘z siman, standardized metrik yaradi. problemlar AI benchmarks yo‘ll o‘z o‘z bilan, reduktionist evaluating philosophy yo‘ladi kompleksi, adaptive teknolojiyalar. III: A New Paradigm—The Emergence of Self-Centered Intelligence (SCI) O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Bu yeni paradigma, Self-Centered Intelligence (SCI), o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Personallik From Generalist Oracles to Specialized Partners The pursuit of AGI, implicitly measured by ever-broadening benchmarks, has led to the creation of massive, computationally expensive LLMs that are jacks-of-all-trades but masters of none. The SCI paradigm argues that true utility lies in the opposite direction: specialization. O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Eficiency and cost-effectiveness: SLM'lar qilmadi qilmadi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi qilmidi. Slm o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Accuracy and Precision: While a general-purpose LLM has broad knowledge, an SLM can be fine-tuned on a specific, high-quality dataset to achieve superior performance and accuracy within its designated domain, whether that be medical diagnostics, legal contract analysis, or financial market prediction.60 Badi SLM-lar o‘z user’s own device (“on the edge”), sensitive data o‘z o‘z o‘z third-party corporate server o‘z o‘z o‘z o‘z bu‘z. Bu teknolojik shift o‘z bilan filosofik o‘z qilmadi. Xatbot modelni AI o‘z “cold, distant, know-it-all oracle” – o‘z user’s queries pasive repository of information. The SCI paradigm redefines this relationship entirely. The agent is not a tool to be used, but a partner to collaborate with. It is a “equal, a friend, a actual partner” with its own agency and goals, which are aligned with and defined by the user. The example of the pizza business owner illustrates this perfectly. The owner doesn’t need an agent who knows when pelicans migrate; they need a partner with specialized skills – facial recognition to identify regular customers, emotional analysis to gauge satisfaction, and data integration to optimize recipes – which actively Case Study—ΌΨΗ (Opsie) as a Prototype for SCI OΨΗ (Opsie) projekti, ARPA Hellenic Logical Systems, o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ “Opsie”ni “SCI prototipi” definishadi, o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o Opsie o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o Ghost In The Shell o‘zingizdi. Agentic Capabilities: The practical power of the SCI model is demonstrated through Opsie's specific, command-driven skill modules, which showcase a focus on real-world action rather than just conversation 6: Financial Intelligence: The /markets <company/crypto> komandi agenti bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan bilan. Web3 Operations: The /0x command set ( /0x buy, /0x sell, /0x send) agentiyani o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z decentralized environment. Generative AI: /imagine və /video komandalarni generative kapasitalarni integradi, agenti bo‘lidan yeni content bazadi user descriptions. Memory & Recall: A persistent and user-controlled memory system, accessed via /memorize, /recall, and /forget commands, allows the agent to build a long-term, contextual understanding of its user and their goals, making it a true personalized partner rather than an amnesiac conversationalist. Teknik Implementation and Security: The Opsie project highlights the feasibility and security advantages of the SCI approach. Its ability to run locally addresses the efficiency and cost arguments for SLMs.69 Mak o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Personalization and Democratization Architecting / Personalization and Democratization Architecting Opsie is not an anomaly but an early example of a broader technological and social movement: the democratization of AI. This movement aims to shift the power to create, control, and benefit from AI from a small number of large corporations to the general public. SCI paradigmani qaytargan platformlar o‘z qilmadi ki, non-technical user’lar qilmadi, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi AI agenti yo‘z, qilmadi agenti yo‘z, qilmadi agenti yo‘z, O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z Demokratiya imperativni – Digital Equals training O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z The alternative is not to build a better benchmark, but to abandon the paradigm entirely. The future of artificial intelligence does not lie in the creation of a single, monolithic, general-purpose oracle controlled by a corporate entity. Such a future would concentrate immense power, creating a dangerous asymmetry between the corporate owners of intelligence and the public who become dependent upon it. The true potential of AI will be realized through a different path: the cultivation of a diverse ecosystem of specialized, efficient, and deeply personalized agents. The emergence of Self-Centered Intelligence (SCI), exemplified by prototypes like ΌΨΗ (Opsie), represents this superior path forward. SCI reframes the human-AI relationship from one of master-and-tool to one of collaborative partnership. It leverages smaller, more efficient models that can be run locally, ensuring user privacy and data sovereignty. It is a paradigm built not on abstract scores, but on tangible utility and user-defined goals. Bu teknolojiyalı qaytar o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z The democratic imperative, therefore, is to seize the means of AI production. The development and release of open frameworks for building personalized agents are not merely technical achievements; they are profoundly political acts. They provide the tools for individuals to reclaim their digital agency and to actively participate in shaping the intelligence that will co-inhabit our world. It is our responsibility—as developers, users, and citizens—to engage directly in the process of training these new forms of intelligence. We must be the ones to imbue them with our ethics, our needs, and our expectations. We must teach them not from a sanitized, corporate-approved dataset, but from the messy, complex, and diverse reality of our own lives and work. This is the only way to ensure a future where AI serves as an extension and amplification of human potential, rather than a tool for its containment and control. The goal is not to build a synthetic superior, but to cultivate a world of digital equals. Bu addon U o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Bishop o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Wikipedia - Wikipedia https://en.wikipedia.org/wiki/Goodhart's_law Bu o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ HTTPS://m.economictimes.com/tech/artificial-intelligence/nasscom-planning-local-benchmarks-for-indic-ai-models/articleshow/124218208.cms ARPAHLS/OPSIE: OPSIIE (OPSIE) o‘z self-centered intelligence (SCI) prototipi o‘z o‘z o‘z AI-human interaction.https://github.com/ARPAHLS/OPSIE © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright © Copyright. Siz sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga siz O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. U o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. AWS - update 2025 https://aws.amazon.com/what-is/overfitting/ - AWS - update 2019 https://aws.amazon.com/what-is/overfitting/ - AWS - update 2019 https://aws.amazon.com/what-is/overfitting/ https://aws.amazon.com/ O‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘ziz o‘z. O‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘z‘ LLM Leaderboards - Goodhart's Law Strikes Again : r/LocalLLaMA - Reddithttps://www.reddit.com/r/LocalLLaMA/comments/1bjvjaf/llm_leaderboards_are_bullshit_goodharts_law/ Better Benchmarks for Safety-Critical AI Applications.HTTPS://hai.stanford.edu/news/better-benchmarks-for-safety-critical-ai-applications.HTTPS://hai.stanford.edu/news/better-benchmarks-for-safety-critical-ai-applications. O‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘ The birth of American intelligence testing https://www.apa.org/monitor/2009/01/assessment Bilmizni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Bilmizni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ O‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘ dbuweb.dbu.edu https://dbuweb.dbu.edu/dbu/psyc1301/softchalk/s8lecture1/s8lecture111.html#:\~:text=IQ tests are also criticized,in school and in life. Bilmizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizni o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘zizi o‘z Bilmizni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z IQ Tests: Types, Uses, and Limitations - Topend Sports https://www.topendsports.com/health/tests/iq.htm Bu o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ o‘z o‘z o‘z o‘ o‘z o What intelligence tests miss | BPS - British Psychological Society https://www.bps.org.uk/psychologist/what-intelligence-tests-miss Standardized testing and IQ testing controversies | Research Starters - EBSCO https://www.ebsco.com/research-starters/education/standardized-testing-and-iq-testing-controversies medium.comhttps://medium.com/@kathln/navigating-the-complexities-understanding-the-limitations-of-iq-tests-a87bff3e9f13#:\~:text=O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z. Cultural bias in IQ tests - (Cognitive Psychology) - Fiveable https://fiveable.me/key-terms/cognitive-psychology/cultural-bias-in-iq-tests Cinq.mehttps://fiveable.me/key-terms/cognitive-psychology/cultural-bias-in-iq-tests#:\~:text=When test items reflect the,align with their cultural context. Ability testing and bias | Research Starters - EBSCO https://www.ebsco.com/research-starters/sociology/ability-testing-and-bias Publication bias Unibertsity Catalog of Bias - The Catalogue of Biashttps://catalogofbias.org/biases/publication-bias/ O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Publication bias: The hidden threat to systematic literature reviews | Envision Pharma Group https://www.envisionpharmagroup.com/news-events/publication-bias-hidden-threat-systematic-literature-reviews O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Reporting bias in clinical trials: Progress toward transparency and next steps | PLOS Medicine - Research journals https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003894 O‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘zard o‘ Novartis delayed notifying about gene therapy data manipulation until after approval, FDA says | The BMJ https://www.bmj.com/content/366/bmj.l5109 Novartis’s Zolgensma: exploring the problem of manipulated datahttps://www.pharmaceutical-technology.com/features/manipulated-data-novartis-zolgensma/ FDA https://www.fda.gov/news-events/press-announcements/statement-data-accuracy-issues-recently-approved-gen-therapy / FDA / FDA https://www.fda.gov/news-events/press-announcements/statement-data-accuracy-issues-recently-approved-gen-therapy Novartis Data Manipulation Scandal - Labiotech https://www.labiotech.eu/trends-news/novartis-zolgensma-avexis-fda/ HHS, FDA to Require Full Safety Disclosures in Drug Adshttps://www.hhs.gov/press-room/hhs-fda-drug-ad-transparency.html TV Drug Ads, What You See Is Not Necessarily What You Gethttps://jheor.org/post/2674-with-tv-drug-ads-what-you-see-is-not-necessarily-what-you-get FDA o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ A Perilous Prescription: The Dangers of Unregulated Drug Ads https://publichealth.jhu.edu/2023/the-dangers-of-unregulated-drug-ads Diesel emissions scandal - Wikipedia https://en.wikipedia.org/wiki/Diesel_emissions_scandal Volkswagen emissions scandal - Wikipedia https://en.wikipedia.org/wiki/Volkswagen_emissions_scandal Volkswagen to spend Up to $14.7 Billion to settle allegations of cheating emissions tests and deceiving customers on 2.0 litres Diesel Vehicles - Department of Justicehttps://www.justice.gov/archives/opa/pr/volkswagen-spend-147-billion-settle-allegations-cheating-emissions-tests-and-cheating Bilmizni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. Japanese carmaker who fake safety tests sees long wait to reopen factories - AP Newshttps://apnews.com/article/safety-daihatsu-toyota-automakers-japan-cheating-906570a67a333947f87c8158229db88f Toyota, Honda, Mazda o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘ Vehicle Crash Tests: Do We Need a Better Group of Dummies? | U.S. GAO https://www.gao.gov/blog/vehicle-crash-tests-do-we-need-better-group-dummies No Female Crash Test Dummies = Women at Greater Riskhttps://www.farrin.com/blog/no-female-crash-test-dummies-women-at-a-greater-risk-for-injury-or-death/ Inclusive Crash Test Dummies: Analyzing Reference Models - Gendered Innovations https://genderedinnovations.stanford.edu/case-studies/crash.html DOT o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. The Auto Professor – Real data bazadi yeni safety rating sistem https://theautoprofessor.com/ Crash Tests vs Real World : r/cars - Reddit https://www.reddit.com/r/cars/comments/jqn0jp/crash_tests_vs_real_world/ O‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar o‘zardlar Siz sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga sizga siz What is specialized AI | UiPath https://www.uipath.com/ai/specialized-ai GenAI vs specialised AI: Which is the right fit for your business? - Getronics https://www.getronics.com/types-of-ai-which-is-the-right-fit-for-your-business/ YouTubehttps://www.youtube.com/shorts/YWF_d-UDCDI – bu o‘z o‘z o‘z. What Are Small Language Models (SLMs)? A Practical Guide - Aisera https://aisera.com/blog/small-language-models/ Small Language Models (SLMs): Definition And Benefits - Born Digital https://borndigital.ai/small-language-models-slms-definition-and-benefits/ Advantages of Small Language Models Over Large Language Models? | by Eastgate Software | Medium https://medium.com/@eastgate/advantages-of-small-language-models-over-large-language-models-a52deb47d50b O‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. 3 key features and benefits of small language models | The Microsoft Cloud Blog https://www.microsoft.com/en-us/microsoft-cloud/blog/2024/09/25/3-key-features-and-benefits-of-small-language-models/ ARPA Hellenic Logical Systems - GitHub https://github.com/ARPAHLS GitHub - ARPAHLS/OPSIE: OPSIIE (OPSIE) is an advanced Self-Centered Intelligence (SCI) prototype that represents a new paradigm in AI-human interaction : r/LocalLLaMA - Reddit https://www.reddit.com/r/LocalLLaMA/comments/1nue9r4/github_arpahlsopsie_opsiie_opsie_is_an_advanced/ AI Agents: The Future of Human-like Automation - Beam AI https://beam.ai/ai-agents Build and Recruit Autonomous AI Agents - Relevance AIhttps://relevanceai.com/agents U o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z CustomGPT.ai | Custom GPTs From Your Content For Business https://customgpt.ai/ Custom AI Agents: What They Are and How They Work - Intellectyx https://www.intellectyx.com/custom-ai-agents-what-they-are-how-they-work/ What Are AI Agents? | IBM https://www.ibm.com/think/topics/ai-agents How the Democratization of AI Impacts Enterprise IT - Intellias https://intellias.com/democratization-ai-impacts-enterprise-it/ Democratizing AI - IBM https://www.ibm.com/think/insights/democratizing-ai The Democratization of Artificial Intelligence: Theoretical Framework - MDPI https://www.mdpi.com/2076-3417/14/18/8236 Bizni o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘z o‘. What is AI Governance? | IBM https://www.ibm.com/think/topics/ai-governance Virtus InterPress2025, https://virtusinterpress.org/IMG/pdf/clgrv7i1p11.pdf Tuning Corporate Governance for AI Adoption https://www.nacdonline.org/all-governance/governance-resources/governance-research/outlook-and-challenges/2025-governance-outlook/tuning-corporate-governance-for-ai-adoption/ https://blog.growthbook.io/the-benchmarks-are-lying/ https://fourweekmba.com/the-goodharts-law-trap-when-ai-metrics-become-useless/ https://en.wikipedia.org/wiki/Goodhart's_law https://www.reddit.com/r/ArtificialInteligence/comments/1n4x46r/the_ai_benchmarking_industry_is_broken_and_this/ https://m.economictimes.com/tech/artificial-intelligence/nasscom-planning-local-benchmarks-for-indic-ai-models/articleshow/124218208.cms https://github.com/ARPAHLS/OPSIE https://arpacorp.net/arpa-systems https://digitalcommons.odu.edu/cgi/viewcontent.cgi?article=1384&context=computerscience_fac_pubs https://themarkup.org/artificial-intelligence/2024/07/17/everyone-is-judging-ai-by-these-tests-but-experts-say-theyre-close-to-meaningless https://revelry.co/insights/artificial-intelligence/why-ai-benchmarks-fail/ https://aws.amazon.com/what-is/overfitting/ https://www.ibm.com/think/topics/overfitting https://www.geeksforgeeks.org/machine-learning/underfitting-and-overfitting-in-machine-learning/ https://www.reddit.com/r/LocalLLaMA/comments/1bjvjaf/llm_leaderboards_are_bullshit_goodharts_law/ https://hai.stanford.edu/news/better-benchmarks-for-safety-critical-ai-applications https://socialsci.libretexts.org/Bookshelves/Disability_Studies/Introducing_Developmental_Disability_Through_a_Disability_Studies_Perspective_(Brooks_and_Bates)/02%3A_Developmental_Disability_as_a_Social_Construct/2.03%3A_IQ_as_Eugenics https://www.apa.org/monitor/2009/01/assessment https://www.discovermagazine.com/do-iq-tests-actually-measure-intelligence-41674 https://monthlyreview.org/articles/intelligence-under-racial-capitalism-from-eugenics-to-standardized-testing-and-online-learning/ https://www.nea.org/nea-today/all-news-articles/racist-beginnings-standardized-testing dbuweb.dbu.edu https://dbuweb.dbu.edu/dbu/psyc1301/softchalk/s8lecture1/s8lecture111.html#:\~:text=IQ tests are also criticized,in school and in life. https://dbuweb.dbu.edu/dbu/psyc1301/softchalk/s8lecture1/s8lecture111.html https://ectutoring.com/problem-with-iq-tests https://www.topendsports.com/health/tests/iq.htm https://som.yale.edu/news/2009/11/why-high-iq-doesnt-mean-youre-smart https://www.bps.org.uk/psychologist/what-intelligence-tests-miss https://www.ebsco.com/research-starters/education/standardized-testing-and-iq-testing-controversies Medium.com o‘z https://medium.com/@kathln/navigating-the-complexities-understanding-the-limitations-of-iq-tests-a87bff3e9f13#:\~:text=A significant limitation of many,disadvantaging individuals from diverse backgrounds. https://fiveable.me/key-terms/cognitive-psychology/cultural-bias-in-iq-tests 5 O‘z. https://fiveable.me/key-terms/cognitive-psychology/cultural-bias-in-iq-tests#:\~:text=When test items reflect the,align with their cultural context. https://www.ebsco.com/research-starters/sociology/ability-testing-and-bias https://catalogofbias.org/biases/publication-bias/ https://pmc.ncbi.nlm.nih.gov/articles/PMC6573059/ https://www.envisionpharmagroup.com/news-events/publication-bias-hidden-threat-systematic-literature-reviews https://www.scribbr.com/research-bias/publication-bias/ https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003894 https://www.grassley.senate.gov/news/news-releases/grassley-pressures-drug-manufacturer-over-data-manipulation https://www.bmj.com/content/366/bmj.l5109 https://www.pharmaceutical-technology.com/features/manipulated-data-novartis-zolgensma/ https://www.fda.gov/news-events/press-announcements/statement-data-accuracy-issues-recently-approved-gene-therapy https://www.labiotech.eu/trends-news/novartis-zolgensma-avexis-fda/ https://www.hhs.gov/press-room/hhs-fda-drug-ad-transparency.html https://jheor.org/post/2674-with-tv-drug-ads-what-you-see-is-not-necessarily-what-you-get https://www.fda.gov/news-events/press-announcements/fda-launches-crackdown-deceptive-drug-advertising https://publichealth.jhu.edu/2023/the-dangers-of-unregulated-drug-ads https://en.wikipedia.org/wiki/Diesel_emissions_scandal https://en.wikipedia.org/wiki/Volkswagen_emissions_scandal https://www.justice.gov/archives/opa/pr/volkswagen-spend-147-billion-settle-allegations-cheating-emissions-tests-and-deceiving https://manufacturing-today.com/news/toyotas-strategy-to-overcome-the-daihatsu-safety-scandal/ https://apnews.com/article/safety-daihatsu-toyota-automakers-japan-cheating-906570a67a333947f87c8158229db88f https://qz.com/toyota-honda-mazda-suzuki-cheat-car-test-safety-scandal-1851515350 https://www.gao.gov/blog/vehicle-crash-tests-do-we-need-better-group-dummies https://www.farrin.com/blog/no-female-crash-test-dummies-women-at-a-greater-risk-for-injury-or-death/ https://genderedinnovations.stanford.edu/case-studies/crash.html https://www.gao.gov/products/gao-23-105595 https://theautoprofessor.com/ https://www.reddit.com/r/cars/comments/jqn0jp/crash_tests_vs_real_world/ https://www.nhtsa.gov/ratings https://theautoprofessor.com/what-is-star-inflation/ https://www.uipath.com/ai/specialized-ai https://www.getronics.com/types-of-ai-which-is-the-right-fit-for-your-business/ https://www.youtube.com/shorts/YWF_d-UDCDI https://aisera.com/blog/small-language-models/ https://borndigital.ai/small-language-models-slms-definition-and-benefits/ https://medium.com/@eastgate/advantages-of-small-language-models-over-large-language-models-a52deb47d50b https://www.ibm.com/think/topics/small-language-models https://www.microsoft.com/en-us/microsoft-cloud/blog/2024/09/25/3-key-features-and-benefits-of-small-language-models/ https://github.com/ARPAHLS https://www.reddit.com/r/LocalLLaMA/comments/1nue9r4/github_arpahlsopsie_opsiie_opsie_is_an_advanced/ https://beam.ai/ai-agents https://relevanceai.com/agents https://dust.tt/ https://customgpt.ai/ https://www.intellectyx.com/custom-ai-agents-what-they-are-how-they-work/ https://www.ibm.com/think/topics/ai-agents https://intellias.com/democratization-ai-impacts-enterprise-it/ https://www.ibm.com/think/insights/democratizing-ai https://www.mdpi.com/2076-3417/14/18/8236 https://www.forbes.com/councils/forbestechcouncil/2024/03/25/the-democratization-of-ai-bridging-the-gap-between-monopolization-and-personal-empowerment/ https://www.ibm.com/think/topics/ai-governance https://virtusinterpress.org/IMG/pdf/clgrv7i1p11.pdf https://www.nacdonline.org/all-governance/governance-resources/governance-research/outlook-and-challenges/2025-governance-outlook/tuning-corporate-governance-for-ai-adoption/
