Long thread published on X on **September 29, 2026** by **Ryan Sarver** (@rsarver), titled *"Personal AI Should Actually Be Personal"*; roughly **1,700 words**, 91.5k views at time of collection. Starting point: **Amazon** blocked **Muse** (**Meta**) from its shopping site, and users lost access to their shopping agent, *"a side effect of a dispute I had no say in."* **(A)** Definition: a personal AI must be **owned** (open source, data in controlled storage, portability), have **a single principal**, offer a readable contract and inspectable trade-offs, run wherever one chooses, and be pleasant to use. **(B)** Observation on the current landscape: Muse opts users into training by default, **Instinct** carries a *"perpetual and irrevocable"* license; estimated cost gap of **$3,000 to $7,000 per user per year** against $20 a month. **(C)** A reversal: the owned stack can end up better, because the user gives it *"every corner of your life."* **(D)** A five-layer stack (clients, harness and connectors, memory, two-tier models, machine) and a call to build a productized version of **OpenClaw**. Responds to **Brad Gerstner** on trust; extends the body of work on shopping agents and markdown memory.
#personal AI#personal AI#personal agent
Ryan Sarver (@rsarver) · auteur du fil sur X ; fonction non indiquée dans le texte.
In-depth opinion piece (point of view) published on **sfeir.com** on June 24, 2026, by **Didier Girard** (Managing Director, SFEIR). **Central thesis**: in 2024 everyone was betting on **AI4Business** (AI in business processes) as the great value reservoir; by 2026 the picture has **reversed** — it is **AI4IT** (AI to produce the information system: code, SDLC, software factory) that is creating **measurable** value. The article *grounds* this thesis in the firm's tech watch: AI4Business disappointment (the MIT study "95% of pilots without ROI," contested but revealing; an **organizational** blockage / Mollick's Hayekian problem) versus quantified AI4IT evidence (Salesforce, Intercom, Raiffeisen, AWS/Bedrock, Atlassian, DORA). Mechanistic explanation: **code verifies itself** (compilation, tests, CI) whereas business processes have neither a compiler nor an immediate feedback loop. **2027 budget consequence**: a **CapEx→OpEx** shift, token price dynamics (rising peak — Fable 5 at 2× Opus — vs inference ÷280 and downward pressure from open weights/desktop), and **AI FinOps** driven by **cost per outcome**. Closes with **4 recommendations for the COMEX**.
#AI4IT#AI4Business#reversal
**Didier Girard** — Managing Director (CTO / DG) de **SFEIR** · ESN française (~1 000 personnes, France · Belgique · Luxembourg · Suisse). Auteur de l'article ; voix éditoriale du cabinet sur la transformation IA des DSI.