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ข่าว AI

ความเคลื่อนไหวล่าสุดด้านปัญญาประดิษฐ์ — โมเดล การลงทุน ชิป กฎระเบียบ และการใช้งานจริง

The EU AI Act: which obligations are already in force, and which are still ahead

The EU AI Act entered into force on 1 August 2024 and applies in stages. The bans on prohibited practices and the AI-literacy duty applied from February 2025; obligations for general-purpose AI models from August 2025; and the main high-risk regime from August 2026, with product-embedded high-risk systems following in 2027.

อัปเดต อ่าน 4 นาที

Analysis: what actually changed when AI agents moved from demo to production

Demos run a short happy path once with a human watching. Production runs thousands of variations unattended, where per-step error rates compound and an unbounded permission scope turns a wrong decision into an incident. The deployments that work narrow the scope, verify each step cheaply, and gate every irreversible action.

อัปเดต อ่าน 4 นาที

Analysis: the price of AI keeps falling, so why are the bills going up?

Price per token has fallen sharply through better hardware, smaller distilled models and serving optimisations. Consumption has grown faster: longer contexts, reasoning models that generate far more tokens per answer, and agents that turn one user action into dozens of model calls. Falling unit prices with rising unit counts produce larger bills.

อัปเดต อ่าน 3 นาที

Analysis: answer engines are rewriting how people find information — and how publishers get paid

Answer engines synthesise a response from several sources and show it above or instead of the traditional link list, so a query that once produced a visit can now be resolved without one. Publishers see impressions and citations rise while click-through falls, which breaks the advertising model that assumed every answer required a page view.

อัปเดต อ่าน 4 นาที

Analysis: how far behind are open-weight models, really?

On common benchmarks the best open-weight models now sit close to frontier commercial models, and for many routine tasks the difference is not noticeable. The remaining gaps show up in long-horizon reliability, tool use, very long contexts and safety tuning — and in the operational work of running them yourself.

อัปเดต อ่าน 3 นาที