AI Weekly Malaysia

Ethan Mollick walks back his own thesis that working with AI agents would require human-style management — specifying delegation and agent org structure — saying the Bitter Lesson caught him out: his research found planning steps now add much less value because models plan for themselves, just as elaborate retrieval plumbing and prompt chains were overtaken by models that seek information on their own. His demo is a one-prompt music video where Fable wrote lyrics and sent them to Suno, and Opus 5.5 did everything else in code with no image generation and no feedback. He frames the current wave as 'Clawlikes' — Meta's Muse (currently the number one App Store app), OpenAI's dots, plus Grok Bot, Instinct and Gemini Spark — agents that get computer access and connect to your email and financial records.

Why: If you maintain multi-step prompt chains or hand-built retrieval/orchestration scaffolding, this says the payoff shrinks with every model release — benchmark a single-prompt baseline against your pipeline before investing more engineering in the scaffolding. Separately, Muse and dots ask users to hand over account connections to email and financial data, so if you ship anything in that space, the competitive bar and the user's security expectations are being set by agents that already request that access.

Opus 5.5 shipped the week of Sept 24, 2026, and OpenRouter reported about a week later that it is the #1 model by share of spend and share of tokens among Anthropic models on its platform, with users switching off Opus 5 quickly. The roundup's main thread is motion design: a 'max effort' prompt produced a 15-second motion graphics video that drew 2.03M views, another creator said an entire video was code with zero After Effects and offered to open source the prompt template, and a third said the 'one prompt' claim is misleading after reviewing how the videos were actually made. One reply noted trying it with Supabase with 'amazing results', and another claimed a 90-second motion design plus sound demo that composed its own piano score.

Why: The reusable takeaway is the caveat, not the hype: Rexan Wong's post says the 'one prompt' videos people were sharing didn't reproduce for them, and that the real results came from a multi-step workflow they reverse-engineered from other people's videos. If you plan to sell or demo AI-generated motion graphics, budget for iterating on a workflow rather than a single prompt, and check the open-sourced prompt template (the one asking for 8-12 UI states the shape becomes) before assuming a one-shot path. The OpenRouter share-of-spend figure is the only adoption number here and it is self-reported platform data, so treat it as directional, not a benchmark. There is no Malaysia-specific angle in this text.

Google is shutting down Gemini's 'Gems' — the custom assistants it launched in 2024 for tasks like learning coach, coding partner, and editor — and converting them into 'skills' starting November 17, 2026. An in-app message tells users the migration is automatic, so existing Gems stay usable until then and no manual action is required. TechCrunch frames the change as part of a broader pattern of Google renaming and merging AI features, happening as all-in-one agents like Meta's Muse and Instinct gain traction.

Why: If you built Gems as reusable prompts for coding, editing, or research workflows, nothing breaks before November 17, 2026 — but the container changes, so any sharing links, saved names, or team conventions around 'Gems' should be treated as temporary. Copy the underlying instruction text into your own repo or notes now rather than relying on Google's migration to preserve it in a form you can export, and avoid building new tooling that depends on Gems-specific sharing until 'skills' behavior is documented.