Articles on AI & ML.

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

AI & MLLivestreamDigital humansAIE-commerce

AI virtual KOLs livestreaming 24/7: how far China has gone, and what bringing it to Vietnam takes

In China, AI livestream hosts already sell real goods: Luo Yonghao's AI avatar brought in 55 million yuan of orders in a single session, and more than 70,000 sellers on JD use virtual hosts. But the rules have tightened too: AI content must be labelled, a real person must supervise, and the operator answers for every word the virtual KOL says. This article sums up what China has done, Vietnam's legal framework in 2026, and how to run a virtual KOL within the law — a service KonexForge is ready to deploy for businesses in Vietnam.

18/10/202613 min read

AI & MLOpen-weightSelf-hosted AIGPUAI costs

Open models in October 2026: free to download, but is running them yourself cheaper than an API?

From August to mid-October, Alibaba, DeepSeek, Xiaomi and Meta each released AI models anyone can download for free, some with a trillion parameters. Many businesses read the news and think about running one themselves to stop paying for an API and keep data in-house. This article does the maths: a leading open model needs about $25,000 a month in GPU server rental, while the same model through an API costs a few tens of dollars for a mid-sized business's volume. There are good reasons to self-host — but saving money is rarely one of them.

15/10/202611 min read

AI & MLClaude HaikuGPT-6 LunaGemini FlashAI costs

Small AI models in October 2026: Haiku 5.5, GPT-6 Luna, Gemini 3.8 Flash — dozens of times cheaper, and three traps in the price list

The newest small models from Anthropic, OpenAI and Google reach roughly 70–80% of a flagship's score on an independent index, at a cost per task that is a few dozen times lower. For most of a business's repetitive work — sorting messages, extracting details, drafting standard replies — that is enough. But their price lists hide three traps: a price cliff at 100,000 tokens, a promotional price about to end, and a reasoning setting that can change the cost fifteenfold on the same model. This article works through each one and shows how to test whether a small model is enough for your work.

14/10/202612 min read

AI & MLGemini 4GPT-6ClaudeAI costs

Gemini 4 Argon, GPT-6.1 Sol, Claude Sonnet 5.5: the same $2/$10 list price, nearly seven times apart per task

In the last two weeks of September and the first days of October, three major labs each shipped a model with an identical list price: $2 per million input tokens and $10 per million output tokens. Yet on the same independent benchmark, the real cost of finishing one task differs by nearly seven times, the two leading leaderboards name different winners, and one of the three prices doubles after 30 November. This article reads the numbers closely and shows how to work out your own cost per task before choosing.

13/10/202611 min read

AI & MLClaudeAI costsAI safety

GPT-6 versus Claude Opus 5.5: ten days after the call to slow down, three new models in one afternoon

On 12 September Anthropic's CEO called on the industry to slow down and OpenAI's CEO agreed within hours. On 22 September Anthropic released Claude Opus 5.5, and minutes later OpenAI released GPT-6 Sol and Luna. This piece compares the GPT-6 family with Opus 5.5 using numbers labelled by who measured them, shows why the slowdown call cannot be broken — it contains no number — and sets out what a business should do when models change by the month.

27/09/202618 min read

AI & MLGPT-6CybersecurityAI cost

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

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