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AI S-curve — 2022 to now
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All milestones
Daily sensing sources
Check these every morning — grouped by signal category
Models & capability
Anthropic blogModel releases, safety research, capability updates
OpenAI blogModel releases, API changes, product announcements
Google DeepMind blogResearch breakthroughs, Gemini updates
Hugging Face daily papersPreprints that become capability jumps in 6–12 months
ArXiv cs.AI / cs.LGRaw research — earliest signal, harder to read
Simon Willison's blogBest single practitioner voice on what releases actually mean
Developer community
Hacker NewsFilter for AI threads — comment quality often exceeds articles
The Pragmatic EngineerSenior engineering perspective, increasingly AI-focused
GitHub TrendingWhat engineers are actually building — honest signal of energy
Dev.toPractitioner posts — rougher but unfiltered
Software Engineering DailyLong-form technical podcast with transcripts
Agentic & infrastructure
LangChain blogAgent frameworks, tooling, orchestration patterns
Anthropic docs changelogSDK updates and new capabilities — close to the metal
The New StackCloud-native and platform engineering — covering AI-native shift
CNCF blogKubernetes community processing the AI transition
MCP ecosystemNew MCP servers signal which integrations are maturing
Risk & safety
Import AI (Jack Clark)Weekly, deeply technical — covers safety and capability together
Center for AI SafetyInstitutional perspective on existential and near-term risk
EU AI Act trackerRegulatory developments in Europe — relevant for corporate clients
MIT Technology Review AITranslates technical risk into readable analysis
Future of Life InstituteBroader existential risk framing
Politics & policy
Stratechery (Ben Thompson)Best single voice on AI business strategy — worth the subscription
Bloomberg TechnologyEnterprise adoption and investment signals
FT TechEuropean regulatory and enterprise perspective
Axios AI+Short daily briefing — good for catching headlines
The InformationPaywalled but most reliable on what's happening inside the labs
Aggregators — scan daily
Digest template & workflow
Reference guide for the sensing role · Export from Daily signals to generate a first draft
01
Capture signals daily
Use the Daily signals tab throughout the week. Flag digest-worthy items as you go.
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02
Generate first draft
Click "Generate first draft" above. The export pulls flagged signals into the structure below.
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03
Apply human voice
Edit the draft. Add the opener, closing note, and SenseLab angles. Write like a person, not a curator.
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04
Submit for approval
Send to the editorial core team for review before publication. Never publish direct from export.
Issue structure
1. Issue header
Issue number, date, title, one-line standfirst. The title should name the week's dominant theme, not just say "this week in AI."
2. Opener — from the editors ✦ human voice required
2–3 sentences. Your editorial take on the week's mood. Not a summary of what follows — your actual observation. Write in first person. This is what subscribers remember.
"Three things landed this week that seem unrelated but all point at the same underlying shift..."
3. Signal items (2–3 main items)
Each signal: source name, headline, 150–220 words of fact then interpretation, SenseLab angle (1–2 sentences connecting to the experiment catalogue or S-curve), link to original.
4. Quick takes (3 max)
One bold headline + one sentence each. Signals worth noting that don't need full treatment. If you're writing three sentences it belongs in the main signals section.
5. Closing thought ✦ human voice required
A single observation that doesn't fit neatly into a signal item. A question several items raised without answering. Write in first person. This is where the digest becomes a conversation.
"What I keep coming back to this week is the gap between what the benchmarks show and what engineers are actually saying in practice..."
Voice & tone guide
Sound like
A senior engineer who reads widely and has a specific point of view. Someone who spent the week genuinely paying attention and has something to say — not performing expertise.
"What caught my attention wasn't the benchmark number — it was how quickly the community stopped treating it as a milestone and started treating it as a floor."
Do not sound like
A journalist summarising events neutrally. A consultant hedging everything. A vendor enthusiast who thinks everything is revolutionary.
"This development may potentially have significant implications for the broader AI ecosystem going forward..."
Sentences
Short and declarative for emphasis. Longer when building an argument. Vary the rhythm deliberately — three short sentences followed by a longer one that lands the point.
"The model release was incremental. The pricing wasn't. That gap matters more than any benchmark."
Opinions
Have them. State them clearly. It is fine to say "I think this is overstated" or "this is the development we have been waiting for." The human voice requires a position.
Word counts
Opener: 80–120 words
Each signal item: 150–220 words
Quick takes: 1 sentence each
Closing note: 80–100 words
Total target: 600–900 words
If over 1,200 words — cut the weakest signal item.
Each signal item: 150–220 words
Quick takes: 1 sentence each
Closing note: 80–100 words
Total target: 600–900 words
If over 1,200 words — cut the weakest signal item.
Approval checklist
Settings
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