US lifts the ban, Fable 5 reopens worldwide from 01/07: what did Anthropic commit to in exchange?
US Commerce Department lifts export controls (30/06); Fable 5 returns worldwide 01/07. Anthropic commits to a classifier blocking jailbreaks >99% + HackerOne + government collaboration.
Read more →
Building your own internal AI: why & the roadmap (8 steps)
Why build your own internal AI, how it compares to cloud AI, and an 8-step roadmap from hardware to operations.
Read more →
Chat UI & integrating internal AI into your workflow
A chat UI for staff, an OpenAI-compatible API to plug into your helpdesk/CRM, SSO authentication & permissions — all on-premise.
Read more →
Choosing open-source models & commercial licenses
Popular model families, how commercial licenses differ, picking the smallest size that works, and how to test candidates for internal AI.
Read more →
Departments & access control when rolling out internal AI
A department map for internal AI and how to set access control (RBAC) so each department only sees the documents it's allowed to — plus access control at the RAG layer.
Read more →
Evaluating quality & tuning internal AI (eval, guardrails)
Measure quality with a golden set, reduce hallucination with RAG + citations, set guardrails, and when to fine-tune.
Read more →
How does internal AI reason to answer accurately, like Claude?
Same next-token prediction on a transformer, grounded in your documents via RAG, step-by-step reasoning — and an honest answer to 'is it as good as Claude?'.
Read more →
Internal AI system architecture, layer by layer (with diagrams)
An on-premise internal AI architecture explained layer by layer, plus a data-flow diagram for a single question.
Read more →
On-premise hardware for internal AI: how to choose
Apple Silicon vs GPU, the memory rule of thumb by model size, and how to size AI Box / AI Pro / AI Cluster by number of users.
Read more →
Operating, monitoring & scaling internal AI
Monitor, back up, update models and scale AI Box → AI Pro → AI Cluster — step 8/8 of the build-your-own internal AI series.
Read more →
RAG: teach your internal AI your own documents
Let your internal AI read your own documents and answer with citations: the RAG pipeline, vector DBs, multilingual embeddings and chunking.
Read more →
Serving: install & optimize model speed
Choose Ollama, vLLM or llama.cpp; quantization; batching; an OpenAI-compatible API for internal AI.
Read more →
The security system of internal AI: defense in depth
The defense-in-depth layers for internal AI — network isolation, RBAC, encryption, audit logs, prompt-injection defense, PII, secrets management, physical security.
Read more →
Trending Pool: how internal AI stays current with world knowledge
A periodic knowledge-update mechanism through a controlled channel — keeping internal AI current while staying isolated, without opening the internet directly.
Read more →
What is an AI token? Data units & the context window
A token is the smallest unit an AI model reads and generates. Understand tokens, tokenization, the context window, and how they relate to AI cost.
Read more →
"The year of AI sovereignty": the EU AI Act tightens the rules, why Vietnamese businesses should keep data on-premise
The EU AI Act tightens obligations for high-risk AI from 08/2026, with fines up to 7% of global turnover. Why businesses should consider on-premise internal AI.
Read more →
15 fake JetBrains plugins stole AI API keys from ~70,000 developers: a supply-chain lesson
Plugins posing as AI assistants on the JetBrains Marketplace stole OpenAI/DeepSeek keys. JetBrains removed them 17/06. A supply-chain lesson for businesses.
Read more →
Anthropic Launches Claude Sonnet 5: Near-Flagship Performance, 1 Million Token Context, $2/$10 Promo Pricing
Anthropic's agentic mid-tier model (30/06): default for Free/Pro, 1M token context by default, $2/$10 per Mtok promo until 31/08.
Read more →
ChatGPT gets a new "automated assistant": schedule reminders, monitor the web and apps for you
OpenAI launched Scheduled Tasks in ChatGPT — set reminders, recurring jobs and automatic web/app monitoring tasks.
Read more →
Decree 142/2026: Vietnam's first legal framework for Artificial Intelligence — what businesses need to know
Decree 142/2026/NĐ-CP (effective 01/05/2026): 4-tier AI risk classification, conformity assessment, sandbox, support fund. What businesses must prepare.
Read more →
DeepSeek unveils V4 preview: an open-source model that "closes the gap" with frontier models
V4-Pro & V4-Flash open-source, 1 million token context — DeepSeek claims it closes the gap with frontier models.
Read more →Gemini 3.5 Flash launches at Google I/O 2026: the Flash model that beats last-gen Pro at coding and AI agents
Gemini 3.5 Flash — the default model for coding and AI agents, beating Gemini 3.1 Pro across a range of benchmarks, faster and much cheaper.
Read more →
Getty Images teams up with OpenAI: licensed photos go straight into ChatGPT, Getty stock soars
A multi-year display agreement — Getty images appear in ChatGPT (not training). Getty stock soars.
Read more →
Goodbye Open Llama: Meta Launches Muse Spark — the 'Superintelligence Lab's' First Proprietary AI Model
Meta Superintelligence Labs launches Muse Spark on a proprietary path, breaking from the Llama line's open-source tradition.
Read more →
Google launches Nano Banana 2 Lite: AI images in 4 seconds, $0.034 per 1,000 images
Gemini 3.1 Flash-Lite Image (30/06): Google's fastest & cheapest image generation model for high-volume enterprises.
Read more →
GPT-5.6 launches like never before: the US government approves each customer allowed to use the most powerful model
OpenAI announced Sol/Terra/Luna (26/06) — in the initial phase only ~20 partners vetted by the US government can use Sol. A new precedent in AI control.
Read more →
Microsoft builds 7 in-house "MAI" models at Build 2026: less reliance on OpenAI, Copilot becomes a "super app"
7 self-developed models for coding/reasoning/image/voice + a Copilot 'super app' — Microsoft cuts reliance on OpenAI.
Read more →
Microsoft launches "Microsoft IQ" at Build 2026: a context layer for AI agents on Copilot, Foundry and Copilot Studio
Microsoft IQ — a context layer that helps AI agents understand both world knowledge and internal data. GA on Copilot, Foundry and Copilot Studio.
Read more →
Mistral launches Mistral Small 4: merging reasoning, multimodality and coding into one open-source model
Mistral Small 4 — MoE 119B (6B active), 256k context, Apache 2.0, merging reasoning + multimodality + coding agent; runs on ~4× H100.
Read more →
NVIDIA launches Vera Rubin: a new chip lineup for the era of the "AI factory" and autonomous agents
Vera Rubin's new chips span from training to agentic inference — the foundation for enterprises to build their own AI infrastructure.
Read more →
NVIDIA unveils the RTX Spark superchip: running AI agents and giant LLMs directly on personal PCs
RTX Spark — a CPU+GPU superchip bringing LLMs up to 120 billion parameters and AI agents to run right on personal PCs, no cloud needed.
Read more →
OpenAI Codex CLI bug silently wears down SSDs: ~640 TB/year, drives worn out in under a year
Codex CLI logs excessively (~37 TB/21 days ≈ 640 TB/year) — enough to drain a 1TB SSD's lifespan in under a year. Cause, the patch and how to fix it.
Read more →
OpenAI retires GPT-5.2 for GPT-5.5 and adds "Active sessions": model lifecycles keep getting shorter
AI model lifecycles keep getting shorter: GPT-5.2 retires, conversations move to GPT-5.5. The stability lesson for businesses.
Read more →
OpenAI unveils its first AI chip "Jalapeño" with Broadcom: designed in 9 months, aiming to slash inference costs
The first inference ASIC designed by OpenAI (24/06) — 9-month tape-out, deployment late 2026. The race for AI hardware independence.
Read more →Perplexity launches "Brain": AI memory that self-learns overnight to make the Computer agent smarter
Brain builds a living 'context graph' of what the agent has done, then overnight synthesizes it into an 'LLM wiki' so the agent can improve itself — a Research Preview for the Max & Enterprise Max pla
Read more →
ServiceNow data exposure from a misconfigured endpoint: lessons in controlling sensitive data
A configuration error let data be accessed beyond permissions — even a large SaaS platform still leaked. Lessons in controlling sensitive data.
Read more →
US forces Anthropic to pull Fable 5 worldwide: what happened and lessons for Vietnamese businesses
Fable 5 & Mythos 5 pulled worldwide after a US government order — the risk of depending on foreign cloud AI.
Read more →
xAI brings Grok to Databricks: AI agents reason directly on enterprise internal data
Grok is natively available on Databricks (18/06) — agents reason on Lakehouse data, no external pipeline needed.
Read more →
xAI's Grok 4.3 lands on Amazon Bedrock: 1 million token context window, configurable reasoning for the enterprise
Grok 4.3 arrives on AWS Bedrock with a 1 million token context window and configurable reasoning levels — aimed at enterprise workloads.
Read more →