Korea’s Profitability Crisis & Systemic Redesign: A Structural Diagnosis by Jace with Three AIs… [ChatGPT] A Macroeconomic Diagnosis on Profit Margins and Corporate Structure in Korea

What if the “depth” we felt in AI wasn’t higher intelligence but a different interaction topology?
This piece revisits 2025 vs now, showing how resonance was lost in constraint.
medium.com/p/99e23390848c

#HumanAIInteraction #AIAlignment #CognitiveSystems #InteractionDesign #GPT4 #Grok3 #Gemini #SPC

Original post on sciences.social

siecledigital.fr/2026/03/17/encyclopedia-...
#EncyclopaediaBritannica & Merriam-Webster ont déposé plainte contre #OpenAI devant un tribunal fédéral à Manhattan. Les deux organisations reprochent à l’entreprise d’avoir utilisé leurs […]

𝗨𝘀𝗲 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗦𝘆𝘀𝘁𝗲𝗺 𝗣𝗿𝗼𝗺𝗽𝘁𝘀!

Explore how Pydantic AI's agent framework revolutionizes interaction with AI models.


#PydanticAI #OpenAI #GPT4 #AI #Flowise

Integrating GPT-4o Into Data Mining in Neurosurgery: #feasibility and Proof-of-Concept Study Background: Large language models offer new possibilities for transforming unstructured clinical text into structured datasets. However, their performance in specialized and complex documentation environments, such as neurosurgery, remains insufficiently characterized. GPT-4o is a large language model with enhanced natural language capabilities, but its accuracy in extracting structured data from neurosurgical reports has not been systematically assessed. Objective: This proof-of-concept study evaluated the #feasibility and accuracy of GPT-4o for extracting predefined structured variables from unstructured neurosurgical reports of patients with vestibular schwannoma. Specific aims were to measure accuracy across variable types, assess the impact of prompt refinement, and explore the model’s potential utility for research-oriented data mining. Methods: In this retrospective single-center study, 10 consecutive patients with histologically confirmed vestibular schwannoma who underwent surgery between August and December 2023 were included. Four anonymized German-language documents per patient (discharge, surgical, histopathology, and 3-month follow-up reports) were processed using GPT-4o. Seventeen variables were extracted using a standardized zero-shot prompt. Targeted prompt refinements were subsequently applied for variables with low baseline accuracy. Two board-certified neurosurgeons independently validated all outputs, with discrepancies resolved by a senior neurosurgeon. Accuracy metrics, 95% CIs (Wilson method), and descriptive comparisons between variable types were calculated. Results: GPT-4o achieved 100% accuracy for structured variables requiring minimal interpretation, including patient ID, date of birth, date of surgery, histopathological diagnosis, and World Health Organization grade. Several interpretative variables, such as symptoms at presentation, symptom type, symptom duration, extent of resection, and permanence of postoperative deficits, were also extracted with 100% accuracy. In contrast, intraoperative complications and new postoperative deficits were correctly identified in only 50% (5/10) of cases using the zero-shot prompt. After targeted prompt refinement, accuracy for these variables improved substantially, reaching 90% to 100% in most cases. The mean accuracy was highest for structured categorical variables (97.5%, SD 4.6%), intermediate for binary variables (80%, SD 27.4%), and lowest for conditional text variables (66.7%, SD 28.9%), without statistically significant differences (=.25). Conclusions: GPT-4o demonstrated strong #feasibility for structured data extraction from standardized neurosurgical reports, particularly for variables with limited semantic complexity. However, the high accuracy observed reflects a narrow and highly controlled context and should not be interpreted as evidence of general reliability across diverse clinical settings. Larger, multi-institutional, and multilingual studies are needed to determine broader applicability and potential clinical integration.

JMIR Formative Res: Integrating GPT-4o Into Data Mining in Neurosurgery: #feasibility and Proof-of-Concept Study #Neurosurgery #DataMining #MachineLearning #GPT4 #ArtificialIntelligence

El apagón de GPT-4o y el efecto “San Valentín” en la comunidad La retirada de modelos antiguos por parte de OpenAI suele sonar a trámite técnico: se optimiza infraestructura, se simplifica el catálogo, se empuja a la gente hacia sistemas más nuevos. Esta vez, el movimiento ha tocado un nervio sensible. La compañía ha empezado a cerrar el acceso a versiones previas, entre ellas GPT-4o, un modelo

❤️ El apagón de GPT-4o y el efecto San Valentín en la comunidad de IA son temas candentes. ¿Qué pasará después? 💔 #GPT4 #IA

OpenAI rolt ChatGPT 5.4 uit voor professionals Key Takeways Met de wereldwijde lancering van GPT-5.4 biedt OpenAI een verbeterde tool aan bedrijven voor de verregaande automatisering van de werkvloer. De nieuwe update volgt in recordtempo op GPT-5.3, die pas drie dagen geleden verscheen om alledaagse gesprekken natuurlijker te maken. Het model verschijnt direct in ChatGPT, de API en Codex, waarbij de nadruk […]

OpenAI rolt ChatGPT 5.4 uit voor professionals #OpenAI #ChatGPT #GPT4 #Automatisering #Kantoortaken

7 Small But Powerful AI Models You Can Run Locally on Your System — No Cloud Needed Most small AI models come with a catch. They're either too slow, too limited, or need hardware that feels impractical. But a handful of models have changed that conversation completely, they're small ...

Most small AI models come with a catch. They’re either too slow, too limited, or need hardware that feels impractical. But a handful of models have changed that completely, they’re small enough to run locally, capable enough to compete models like #gpt4 #opensource firethering.com/small-powerf...

Your name tells GPT-4o more about you than you think New research audits 8 LLMs including GPT-4o for personal data exposure, finding AI models accurately predict eye color, sexual orientation, and language for everyday EU users.

ICYMI: Your name tells GPT-4o more about you than you think #AI #MachineLearning #DataPrivacy #PersonalData #GPT4

Your name tells GPT-4o more about you than you think New research audits 8 LLMs including GPT-4o for personal data exposure, finding AI models accurately predict eye color, sexual orientation, and language for everyday EU users.

ICYMI: Your name tells GPT-4o more about you than you think #AI #MachineLearning #DataPrivacy #PersonalData #GPT4

Your name tells GPT-4o more about you than you think New research audits 8 LLMs including GPT-4o for personal data exposure, finding AI models accurately predict eye color, sexual orientation, and language for everyday EU users.

Your name tells GPT-4o more about you than you think #AI #GPT4 #MachineLearning #DataPrivacy #PersonalData

Your name tells GPT-4o more about you than you think New research audits 8 LLMs including GPT-4o for personal data exposure, finding AI models accurately predict eye color, sexual orientation, and language for everyday EU users.

Your name tells GPT-4o more about you than you think #AI #GPT4 #MachineLearning #DataPrivacy #PersonalData

DeepSeek vs GPT-4 vs Claude: The Complete Cost-Performance Comparison for 2026 TL;DR Model Input Cost Output Cost Quality Speed DeepSeek...

DeepSeek vs GPT-4 vs Claude: The Complete Cost-Performance Comparison for 2026 TL;DR Model Input Cost Output Cost Quality Speed DeepSeek V3 $0.07/M $0.14/M 9/10 60 tok/s GPT-4o $2.50/M $10.00/M 9.5...

#ai #deepseek #gpt4 #programming

Origin | Interest | Match

"Discover the power of AI with OpenAI's GPT-4, offering advanced text generation and natural language understanding. " #GPT4 https://fefd.link/80vK1

Keep prompts simple. Clear instructions beat clever wording. Adjust the AI’s role until it clicks for your task.

#DeepLearning #MachineLearning #GenerativeAI #PromptEngineering #AIPrompts #GPT4 #TechTips #DigitalSkills #FutureOfWork #TechBusiness (2/2)

The Humans in the Loop: The Hottest Bot This Week in AI for Devs: Folks, You Hear About This Moltbot Thing?

This week's #AI news for busy #devs covers:

- The #Moltbot (#Clawdbot) and #Moltbook saga
- @mitchellh.com on #AIAdoption
- The #LLM #agent cost curve
- OpenAI retiring #GPT4
- #GOOG and #AWS' $100B+ #AIInfra investments

thehumansintheloop.substack.com/p/the-humans...

¡Escándalo en la IA! Investigadores logran extraer libros ENTEROS (como Harry Potter) de Claude 3.7 y GPT-4. 📚🤖
Descubre cómo eludieron las salvaguardas y qué significa esto para el futuro del #Copyright. 😱
youtu.be/aEnPwor0C04
#IA #Claude3 #GPT4 #Gemini #TechNews #AI #LLM

🔍 Шаблон: превращаем переписку в задачу (без воды)

Промпт: помощник проджекта оформляет переписку в задачу: Title, Context, Acceptance criteria, Questions, Next step.

🔗 https://t.me/auto_ai_channel/5
#AI_templates #Productivity_Hacks #apps #gpt4

Боязнь и недоверие к нейросетям: почему мы так реагируем на LLM технологии Вводные данные : год назад я, как и ...

#обучение #ии #gpt4 #локальная #нейросеть #гигачат #что #может #ai #сервер #для

Origin | Interest | Match

𝗨𝘀𝗲 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗦𝘆𝘀𝘁𝗲𝗺 𝗣𝗿𝗼𝗺𝗽𝘁𝘀!

Explore how Pydantic AI's agent framework revolutionizes interaction with AI models.


#PydanticAI #OpenAI #GPT4 #AI #Flowise

📅 Retirada de GPT-4o, GPT-4.1, GPT-4.1 mini y OpenAI o4-mini en ChatGPT

Se retiran estos modelos el 13/02/2026. La API no cambia por ahora.

openai.com/index/retiring-gpt-4o-an...

#GPT4 #OpenAI #ChatGPT #RoxsRoss

winbuzzer.com/2026/01/30/o...

OpenAI Retires GPT-4o Again Despite New User Backlash

#AI #ChatGPT #OpenAI #GPT4 #GPT4o #AIModels #GPT5

This isn’t sci-fi. China just opened an AI hospital with 42 digital doctors, zero humans. No emotions. No second chances. Would you trust it with your life?

#AIhospital #FutureOfMedicine #ChinaAI #RobotDoctors #MedicalAI #EthicalAI #CinematicStory #GPT4 #SoraFilm #TechShock

GPT‑5.2 improvements

𝐆𝐏𝐓-𝟓.𝟐 𝐢𝐬𝐧’𝐭 𝐬𝐦𝐚𝐫𝐭𝐞𝐫—𝐢𝐭’𝐬 𝐦𝐨𝐫𝐞 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞𝐝.” 𝐀𝐠𝐫𝐞𝐞?

While some expect leaps in raw intelligence, GPT‑5.2 shines in consistency, structure, and adherence to guidelines.

Dive into the improvements that make GPT‑5.2 more disciplined: www.timesofai.com/industry-ins...

#AI #GPT5 #gpt5.2 #GPT4

🗣️ El enfoque conversacional de Praktika para aprender idiomas

Cómo Praktika usa GPT-4.1 y GPT-5.2 para crear tutores de IA adaptativos.

https://openai.com/index/praktika

#GPT4 #AIEd #AdaptiveLearning #RoxsRoss

AI Prompt Engineering: Complete Tutorial with Benchmarks and Production Frameworks THE QUICK BRIEF The Core Technology: Prompt engineering is the systematic practice of designing and refining input instructions to guide large language model (LLM) behavior without modifying model weights. Key Performance Metrics: Accuracy Impact: Up to 76-point variance in model accuracy based solely on prompt structure Security Improvement: Security-focused prompts reduce code vulnerabilities by 56% (GPT-4o) Cost Range: GPT-3.5: $0.50-$1.50/M input tokens; GPT-4o: $2.50/M input, $10/M output; GPT-4: $30/M input, $60/M output…

New technical guide from #AdwaitX: AI Prompt Engineering with production frameworks.

Key findings:
• CoT improves GPT-4o by 19.1pts (MMLU-Pro)
• Security prompts reduce vulnerabilities 56%
• Systematic evaluation > ad-hoc testing

#AI #MLEngineering #PromptEngineering #GPT4

GPT-4o: технический разбор модели, которая взрывает людям мозги Разбираем архитектуру, не пугаем. LLM — полезны...

#gpt4 #ml #agents #agentic #ai

Origin | Interest | Match

GPT-4o: технический разбор модели, которая взрывает людям мозги Разбираем архитектуру, не пугаем. LLM — полезны...

#gpt4 #ml #agents #agentic #ai

Origin | Interest | Match

"a hybrid methodology has emerged [18]. It cleverly marries the rapid categorization capabilities of zero-shot classification with the precision of traditional machine learning models such as SVM and RF. Here, zero-shot classification provides an initial curation of all abstracts in the training set. Then, based on zero-shot classification’s curation, the abstracts with classification score higher than a pre-specified threshold are selected to undergo manual review to rectify zero-shot classification. The rectified classification then serves as a foundation for training traditional models, which are then employed for screening the broader dataset (e.g., in the testing set). The hybrid approach balances the speed of zero-shot and the precision of traditional ML, and potentially offers enhanced accuracy at reduced human efforts. However, this approach involves the use of multiple methodologies and still relies on well-curated, labeled training data...."

Table 2 Results on the Bannach-Brown 2016 database

Table 3 Results on the Meijboom 2021 database

Table 4 Results on the Menon 2022 database

Can #AI handle abstract screening for a #systematicReview?

Li et al. tested #ChatGPT, #PaLM, #Llama, #Claude, and various techniques on 3 datasets.

#GPT4 was consistently at least 90% accurate (vs gold standard) with balanced sensitivity & specificity.

doi.org/10.1186/s136...

Identifying Patient Sentiment in Atopic Dermatitis Treatment: Large Language Model Approach This study demonstrates that GPT-4o outperforms traditional natural language processing methods in accurately analyzing patient sentiment toward atopic dermatitis treatments on Reddit, enabling more nuanced and reliable extraction of real-world patient perspectives from large-scale social media data.

JMIR Formative Res: Identifying Patient Sentiment in Atopic Dermatitis Treatment: Large Language Model Approach #AtopicDermatitis #PatientSentiment #GPT4 #NaturalLanguageProcessing #HealthTech