Articles on AI & ML.

Forecasting models, computer vision, LLM agents — integrated directly into business workflows, not shelved POCs.

GPT-6 Astra: skip the AGI claim, these three numbers are the ones that matter

On 3 September OpenAI released GPT-6 Astra, and the company's president said it might come to be seen as AGI. For anyone who has to make a decision, that sentence is close to unusable. Three other numbers from the same day are not: a risk rating no model had reached before, a 37-point gap on the same test, and a price 2.5 times higher.

03/09/202611 min read

AI & MLAI AgentMCPProduction

AI agents for the enterprise: reliability multiplies, it doesn't add

Gartner predicts more than 40% of agentic AI projects will be cancelled before the end of 2027. The cause usually isn't model quality: a 20-step agent that is 95% reliable per step completes the whole run only 35.8% of the time — and that's arithmetic to do before committing budget, not after.

28/07/202610 min read

AI & MLLLMAnthropicCost Optimization

Claude Opus 5: the real cost is token consumption, not the sticker price

Anthropic released Claude Opus 5 on July 24, 2026 at an unchanged $5/$25 per million tokens — half the price of Fable 5 — and per Artificial Analysis it now scores highest on their intelligence index. But for an engineering team, the number that matters more than the sticker price is how many tokens the model actually consumes, and the effort parameter is what governs that.

25/07/20268 min read

AI & MLLLMMoonshot AIOpen Source

Kimi K3: the first 2.8-trillion-parameter open model to reach frontier tier

Moonshot AI's Kimi K3 is the largest open-source model ever released — 2.8 trillion parameters, a Mixture-of-Experts architecture with Kimi Delta Attention, scoring nearly on par with top closed models on multiple benchmarks. KonexForge breaks down the architecture, pricing, and trade-offs worth weighing before production use.

17/07/20267 min read

AI & MLHealthcareComputer VisionClinical Decision Support

KonexForge Health Insight: AI that helps read ultrasound and blood test results — a tool for doctors, not a replacement for doctors

The volume of diagnostic imaging and lab data is growing faster than the time doctors have to review each case in detail. KonexForge Health Insight is the architecture we're developing to help with exactly this problem — designed from the ground up as a clinical decision support tool, not an automated diagnostic system.

10/07/20268 min read

AI & MLResponsible AIMLOps

AI is not a universal tool: catching one cicada doesn't mean you have the whole summer

A model that performs well on one specific task is easily mistaken for 'AI has solved the whole problem.' Harvard/BCG's 'Jagged Frontier' study of 758 consulting professionals shows exactly why that intuition is wrong — and why the gap has already caused real production incidents in 2026.

08/07/20268 min read

AI & MLSEOContent IntegrityMisinformation

AI is being abused to mass-produce slop, misinformation, and dishonest SEO spam — the real problem and how to defend against it

AI has driven the cost of producing content down to nearly zero — but that same shift removes the economic barrier that once kept spam and misinformation from spreading at scale. The three most common forms of abuse, why Google and now AI Overviews are cracking down harder, and how to build systematic content quality control — not by banning AI from writing.

04/07/20268 min read

AI & MLLLMZ.aiCost Optimization

Z.ai GLM-5.2: China's coding model matches GPT-5.5 at roughly a sixth of the cost

Z.ai's GLM-5.2 scores near Claude Opus 4.8 and ahead of GPT-5.5 on coding benchmarks, while operating at roughly a sixth of the cost. KonexForge is adding it to the list of supported models to give clients another cost-optimization option — not a replacement, but an addition to the existing model-routing layer.

01/07/20267 min read

AI & MLDevelopmentAI OrchestratorLLM

KonexForge AI Core: when the AI Orchestrator becomes the central brain of your enterprise ecosystem

Not a chatbot, not an LLM wrapper — AI Core is a unified orchestration layer that connects every AI specialist, enterprise tool, and internal data source into a single automated pipeline. An 8-component architecture, local/cloud routing, and a Critic Engine are the real differentiators.

27/06/20268 min read

AI & MLDevelopmentSEOGEO

Legacy websites are falling behind: when SEO isn't enough and GEO doesn't exist

Users are asking ChatGPT, Perplexity, and Google AI Overviews instead of clicking links. If your website isn't cited by AI, you're invisible to a growing share of new searchers — even if you rank #3 on Google.

26/06/20267 min read

AI & MLVision-LanguageData DigitizationOCR

AI Entry: digitizing image data with Vision-Language technology — replacing 50 data-entry workers in a single deployment

Most businesses still digitize invoices, forms, IDs, and handwritten ledgers with dozens of manual data-entry workers. AI Entry uses Vision-Language (VL) models to read images and emit structured data directly — why VL differs from OCR, the confidence + human-in-the-loop pipeline architecture, and what 'replacing 50 workers' actually means.

24/06/20268 min read

AI & MLRAGLLMVector SearchMLOps

RAG pipelines in production: chunking strategy, vector search, and retrieval quality evaluation

RAG (Retrieval-Augmented Generation) is the most common architecture for grounding LLM answers in internal data — but most first implementations only work well in demos, not in production. Chunking strategy affects recall; embedding model affects precision; without a retrieval evaluation pipeline, there is no way to know where the system is failing. The three most important technical decisions and how to measure quality before deployment.

21/06/20269 min read

← See all articles