Welcome back, Encel. Google just launched a research agent that plans, writes, and self-revises like a top analyst. It’s called Deep Researcher with Test-Time Diffusion — and it drafts/refines complex reports in real-time, pointing to a new era of thinking models.
🔥 US Orbit — Today’s Big AI Moves (US)
EncelAI: Google unveils Deep Researcher with Test-Time Diffusion,— an agent that drafts long-form research, then revises itself at inference time using fresh retrieval, reporting state-of-the-art results on complex reasoning tasks.
Inside the move:
Inference-time “diffusion” for writing: the agent iteratively edits a living draft, denoising it with newly fetched sources each pass.
Beats prior research agents on multi-hop benchmarks and long-form report generation (no model retraining required).
Search-aware planning loop: branches ideas, prunes weak paths, and converges on stronger answers.
The Big Spark (US): This points to adaptive, analyst-style AI—less “static chatbot,” more self-revising research partner for teams shipping briefs, audits, and investment memos.
🌏 Europe Orbit — Policy, Research & Industry (EU)
EncelAI: 🇩🇪🏛️ Germany’s internet industry group eco hosted a policy workshop at Google’s Berlin office spotlighting DSA enforcement ⚖️, AI Act readiness 📜🤖, and digital sovereignty 🔐—a timely briefing for EU operators. Follow-up report.
Inside the move:
🧹🛡️ DSA in practice: Google policy leads and eco’s Complaints Office walked through tackling unwanted content (fake news, hate speech) and real-world DSA implementation.
🇩🇪🧱 Digital sovereignty push: Calls to rethink public-sector IT (“Germany stack”) with tighter control of cloud, data, and security amid global tensions. 🌐⚠️
📜⚙️ AI Act prep & gaps: Framing infrastructure + regulation (AI Act, DMA) to keep Germany competitive; eco’s pulse notes an east–west AI-usage divide and hurdles like unclear law and security concerns. 🧭🔐
The Big Spark: Align DSA execution, AI Act controls, and sovereign cloud/data into one governance track—turning compliance from a burden into a competitive moat.
🌏 Asia Orbit — Models, Hardware & Scale (APAC)
EncelAI: 🇨🇳 Huawei flags the hidden costs of AI contact centers and pitches its on-prem AICC Appliance as a fix — bundling infra + an LLM service to cut token spend and keep data local. Huawei blog
Inside the move:
🧱🔐 Architecture: On-prem/private-cloud stack combines Huawei network/server/storage, an LLM Service Node, and the AICC platform — aiming to avoid third-party LLM per-token fees and keep sensitive data on-site.
🧾💸 Economics: Example math: 100k voice-bot interactions/day × ~1k tokens at $0.02/1k tokens ≈ $60k/month — and spikes in demand can double costs overnight.
🤝🌐 Rollout & partners: Huawei says it partners with DeepSeek and Qwen for on-prem LLMs; claims 30+ years in contact centers, 10 years leading market share in China, and deployments with >20k-agent customers. AICC ships on-prem or SaaS.
The Big Spark: If you’re scaling support in APAC, treat LLM economics as a first-class KPI — on-prem/private LLMs can trade cloud convenience for predictable cost + data control across regulated markets.
🔁 Cross-Currents — How Today’s Moves Collide
US ↔ EU: 🇺🇸⚖️🇪🇺 Google’s agentic Deep Researcher runs into AI Act/DSA demands—provenance, audit trails, and human oversight will be table stakes for regulated rollouts.
EU ↔ Asia: 🇪🇺🔐🌏 Europe’s sovereignty push echoes Huawei’s on-prem AICC (local data, predictable cost) but vendor-trust and jurisdiction risks keep scrutiny high.
Asia ↔ US: 🌏💸🇺🇸 Private-LLM economics from Huawei pressure token-metered US agents; CFOs will segment workloads by TCO, latency, and data sensitivity.
Encel Spark: Win the 3C triangle—Capability × Compliance × Cost—or watch global deals slip to stacks that do.
⚙️ The Toolshed: Must-Know AI Tools
🤖 FlowAI — Anyone Can Create AI Agents — Build custom AI agents in minutes without coding.
⚡ Encel Spark: Skip the setup grind. Perfect for non-technical makers who need AI assistants that actually follow through.📚 SciMaster — Your Scientist Friend — Tool to accelerate research: literature search, summaries, and drafting.
⚡ Encel Spark: If you juggle papers or need clarity fast, this is a shortcut to insights without slogging through mass of publications.
🌍 Social Encel: What AI’s Talking About Today
🛡️ Trust Check: Three bugs, one messy month — Anthropic’s postmortem reveals what broke, why fixes lagged, and the changes ahead.
🧠 AGI Reality: AGI isn’t missing—it’s undefined: today’s models 🤖 pattern-match without memory 🧠, common sense 🧭, or fluid transfer 🔁. Until we crack lifelong learning ⚙️ and a real blueprint 📐, we’re scaling statistics — not minds.
Enjoyed today’s Encel AI update? Your thoughts fuel our next emails — let us know how we did!
Thanks for being part of Encel — can’t wait to explore AI together in the next issue.
Until next time,
The Encel Team