diff --git a/scripts/events/data/scout-ledger.yaml b/scripts/events/data/scout-ledger.yaml
index 026a6a19..e2a5c03b 100644
--- a/scripts/events/data/scout-ledger.yaml
+++ b/scripts/events/data/scout-ledger.yaml
@@ -78,11 +78,11 @@ scouted:
# Watchlist state (status: tracked) - what lets later runs skip the sweep.
- name: KubeCon + CloudNativeCon Europe
url: https://events.linuxfoundation.org/kubecon-cloudnativecon-europe-2027/
- checked: 2026-10-11
+ checked: 2026-10-17
status: tracked
next_edition: 2027-03-15 to 2027-03-18, Barcelona, ES
- cfp: OPEN until tonight - closes 2026-10-11 23:59 CEST (https://sessionize.com/kubecon-cloudnativecon-europe-2027/); reconfirmed 2026-10-11 ("13 hours left") - FLAGGED in the issue-406, 407 and 408 reports; after today the main CFP is closed, next window is the 2028 edition
- colocated_cfp: OPEN - CNCF-hosted co-located events (2027-03-15, incl. Cloud Native AI + Inference Day, Agentics Day MCP + Agents, Platform Engineering Day) close 2026-10-18 23:59 CEST (https://sessionize.com/cncf-hosted-co-located-events-europe-2027), reconfirmed 2026-10-11, 7 days out - FLAGGED; second cfps row proposed in the issue-407 report, still not on origin/master, re-proposed in the issue-408 report
+ cfp: closed - the main CFP closed 2026-10-11 23:59 CEST; notifications 2026-12-07; next window is the 2028 edition
+ colocated_cfp: OPEN for the last time - CNCF-hosted co-located events (2027-03-15) close 2026-10-18 23:59 CEST (https://sessionize.com/cncf-hosted-co-located-events-europe-2027), reconfirmed 2026-10-17 ("36 hours left"); the second cfps row was proposed in the issue-407 and 408 reports and never reached origin/master - after 2026-10-18 it is moot, do not re-propose
owner: keen to submit - CFP now open, flagged in issue-401 scout report
note: added to events.yaml on 2026-09-06
- name: AGNTCon + MCPCon Europe
@@ -94,11 +94,11 @@ scouted:
note: proposed into events.yaml on 2026-09-19 (issue-405 report)
- name: AI Engineer Europe
url: https://ai.engineer/europe/2027
- checked: 2026-10-11
+ checked: 2026-10-17
status: tracked
next_edition: 2027-02-17 to 2027-02-19, ExCeL London, UK - confirmed on the organiser's /europe/2027 page (workshops Wed, keynotes and tracks Thu-Fri)
- cfp: not open yet - "Speaker applications ... will be announced after programming opens" (reconfirmed 2026-10-11)
- note: proposed into events.yaml on 2026-10-04 (issue-407 report); still not on origin/master 2026-10-11, re-proposed in the issue-408 report
+ cfp: not open yet - "Speaker applications ... will be announced after programming opens" (reconfirmed 2026-10-17)
+ note: proposed into events.yaml on 2026-10-04 (issue-407 report); still not on origin/master 2026-10-17, re-proposed in the issue-408 and 409 reports
owner: keen to submit - flag the week the CFP opens (2026-08-16)
- name: World Summit AI Amsterdam
url: https://worldsummit.ai/
@@ -106,7 +106,7 @@ scouted:
status: tracked
next_edition: 2027-10-06 to 2027-10-07, Taets Art & Event Park, Amsterdam, NL - confirmed on the organiser site; the 2026 edition (7-8 Oct) has passed
cfp: n/a (curated) - no speaker submission process on the site
- note: 2027 edition proposed into events.yaml on 2026-10-11 (issue-408 report)
+ note: 2027 edition proposed into events.yaml on 2026-10-11 (issue-408 report); still not on origin/master 2026-10-17, re-proposed in the issue-409 report
- name: WeAreDevelopers World Congress Berlin
url: https://www.wearedevelopers.com/world-congress
checked: 2026-09-06
@@ -269,6 +269,28 @@ scouted:
status: watching
reason: Linux Foundation / PyTorch Foundation European edition; first edition ran 2026-04-07 to 2026-04-08 in Paris, full AI stack from infrastructure to agents. 2027 edition still not announced (2026-10-11); no attendance figure published
note: recommended as a feature watchlist addition in the issue-406 report
+ - name: AI Engineering Summit Berlin (Software & Support Media)
+ url: https://sessionize.com/ai-engineering-summit
+ checked: 2026-10-17
+ status: rejected
+ reason: 2026-11-16 to 2026-11-20, Maritim proArte Hotel, Berlin; paid training event (workshops, bootcamps, tickets from 999 EUR) from the MLcon organiser - same training-conference class as the rejected MLcon; CFP closed 2026-07-14
+ - name: European Chatbot & Agentic AI Summit
+ checked: 2026-10-17
+ status: rejected
+ reason: Edinburgh, March 2027, aggregator listing only (no official page found); industry summit outside the priority hubs, submissions closed 2026-10-01
+ - name: AI4X Accelerate 2027
+ url: https://constructor.university/lp/ai4x-accelerate-conference-2027
+ checked: 2026-10-17
+ status: rejected
+ reason: Bremen, June 2027 (organiser pages disagree on dates); academic AI-for-science conference, research venue rather than a speaking flagship
+ - name: Academic AI venues (ECAI 2027 Athens, CAIN 2027 Dublin)
+ checked: 2026-10-17
+ status: rejected
+ reason: peer-reviewed paper venues surfaced via aggregators; same class as the rejected MLSys/SaTML group
+ - name: AI in Production Newcastle 2027
+ checked: 2026-10-17
+ status: rejected
+ reason: June 2027, aggregator listing only; regional community conference, below the flagship bar
- name: ContainerDays AI Context Warsaw
url: https://sessionize.com/containerdays-ai-context-warsaw-2027
checked: 2026-10-11
@@ -410,9 +432,9 @@ scouted:
reason: quality ~1,200 software stage, AI one track among many
- name: Machine Learning Prague
url: https://www.mlprague.com/
- checked: 2026-10-11
- status: watching
- reason: strong regional cfp candidate; below watchlist bar for now. 2027 edition 2027-05-03 to 2027-05-05, O2 Universum, Prague, CZ, "800+ attendees"; call for workshops open until 2026-10-15 (4 days out on 2026-10-11, flagged in the issue-408 report), speaker call linked without a deadline (organiser site, reconfirmed 2026-10-11)
+ checked: 2026-10-18
+ status: rejected
+ reason: owner not interested (2026-10-18, issue 409) - regional lineup (5 of 45 speakers announced, mostly Czech), ~800 attendees, workshop prep not worth it; do not re-propose unless the lineup changes markedly. Previously 2027 edition 2027-05-03 to 2027-05-05, O2 Universum, Prague, CZ, "800+ attendees"; call for workshops extended to October 22 (organiser site 2026-10-17, was 2026-10-15; flagged in the issue-408 and 409 reports), speaker call linked without a deadline
- name: MLcon Munich / Berlin / Amsterdam
url: https://mlconference.ai/
checked: 2026-09-06
diff --git a/scripts/newsletter/data/candidates.json b/scripts/newsletter/data/candidates.json
index cee09621..48667216 100644
--- a/scripts/newsletter/data/candidates.json
+++ b/scripts/newsletter/data/candidates.json
@@ -1,349 +1,347 @@
[
{
- "id": "manual:07cd3452",
- "title": "Building and validating at the same time",
- "url": "https://blog.mikiobraun.de/2026/10/buildidating-and-validating",
- "normalisedUrl": "blog.mikiobraun.de/2026/10/buildidating-and-validating",
- "host": "blog.mikiobraun.de",
+ "id": "manual:0920590a",
+ "title": "Uber’s AI infra, from the inside",
+ "url": "https://newsletter.pragmaticengineer.com/p/ubers-ai-infra-from-the-inside",
+ "normalisedUrl": "newsletter.pragmaticengineer.com/p/ubers-ai-infra-from-the-inside",
+ "host": "newsletter.pragmaticengineer.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
+ "createdAt": "2026-10-18T07:07:11.186Z",
"source": "manual",
"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
+ "firstSeen": "2026-10-18T07:07:11.186Z",
+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "blog.mikiobraun.de",
+ "company": "newsletter.pragmaticengineer.com",
"ownProject": false,
"firstParty": true,
- "kind": "company-eng",
+ "kind": "unknown",
"recentlyCovered": null
},
{
- "id": "manual:1c94234f",
- "title": "Can AI Make a Game Engine?",
- "url": "https://www.youtube.com/watch?v=R_uf5OfMGio",
- "normalisedUrl": "youtube.com/watch?v=R_uf5OfMGio",
- "host": "youtube.com",
+ "id": "manual:62b52955",
+ "title": "Speeding up code review with `small-change`",
+ "url": "https://lethain.com/small-changes/",
+ "normalisedUrl": "lethain.com/small-changes",
+ "host": "lethain.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
+ "createdAt": "2026-10-18T07:07:11.186Z",
"source": "manual",
"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
+ "firstSeen": "2026-10-18T07:07:11.186Z",
+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "youtube.com",
+ "company": "lethain.com",
"ownProject": false,
"firstParty": true,
- "kind": "video",
+ "kind": "unknown",
"recentlyCovered": null
},
{
- "id": "manual:2285ad4d",
- "title": "Signals Berlin 2026",
- "url": "https://signalsconf.io/2026/",
- "normalisedUrl": "signalsconf.io/2026",
- "host": "signalsconf.io",
+ "id": "manual:78c47417",
+ "title": "t0-gamma: the top time-series foundation model on fev-bench, GIFT-Eval and TIME",
+ "url": "https://www.theforecastingcompany.com/blog/t0-gamma",
+ "normalisedUrl": "theforecastingcompany.com/blog/t0-gamma",
+ "host": "theforecastingcompany.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
+ "createdAt": "2026-10-18T07:07:11.186Z",
"source": "manual",
"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
+ "firstSeen": "2026-10-18T07:07:11.186Z",
+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "signalsconf.io",
+ "company": "theforecastingcompany.com",
"ownProject": false,
"firstParty": true,
"kind": "unknown",
"recentlyCovered": null
},
{
- "id": "manual:3d6fca1f",
- "title": "Decision models are all the rage these days 🔥 And we now support them natively on the HF Hub! New tag on HF: "decision-model" so you can filter for them. Want to maybe combine with MLX or GGUF to… | Julien Chaumond",
- "url": "https://www.linkedin.com/posts/julienchaumond_decision-models-are-all-the-rage-these-days-ugcPost-7514309732313120768-PUhM/",
- "normalisedUrl": "linkedin.com/posts/julienchaumond_decision-models-are-all-the-rage-these-days-ugcPost-7514309732313120768-PUhM",
- "host": "linkedin.com",
+ "id": "manual:96344337",
+ "title": "OpenTelemetry for the Claude API",
+ "url": "https://platform.claude.com/docs/en/manage-claude/opentelemetry",
+ "normalisedUrl": "platform.claude.com/docs/en/manage-claude/opentelemetry",
+ "host": "platform.claude.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
+ "createdAt": "2026-10-18T07:07:11.186Z",
"source": "manual",
"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
+ "firstSeen": "2026-10-18T07:07:11.186Z",
+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "linkedin.com",
+ "company": "platform.claude.com",
"ownProject": false,
"firstParty": true,
"kind": "unknown",
- "recentlyCovered": null,
- "isPointer": true
+ "recentlyCovered": null
},
{
- "id": "manual:44c53d6f",
- "title": "GenAI and Agentic AI Exploit Roundup Q3 2026",
- "url": "https://genai.owasp.org/2026/10/08/genai-and-agentic-ai-exploit-roundup-q3-2026/",
- "normalisedUrl": "genai.owasp.org/2026/10/08/genai-and-agentic-ai-exploit-roundup-q3-2026",
- "host": "genai.owasp.org",
+ "id": "manual:b47f6307",
+ "title": "Timestral: Mistral",
+ "url": "https://mistral.ai/news/timestral/",
+ "normalisedUrl": "mistral.ai/news/timestral",
+ "host": "mistral.ai",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
+ "createdAt": "2026-10-18T07:07:11.186Z",
"source": "manual",
"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
+ "firstSeen": "2026-10-18T07:07:11.186Z",
+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "genai.owasp.org",
+ "company": "Mistral",
"ownProject": false,
"firstParty": true,
- "kind": "security",
+ "kind": "company-eng",
"recentlyCovered": null
},
{
- "id": "manual:5df6aab9",
- "title": "The ultimate guide to multi-harness RL - a Hugging Face Space by FineEnvs",
- "url": "https://huggingface.co/spaces/FineEnvs/multi-harness-rl",
- "normalisedUrl": "huggingface.co/spaces/FineEnvs/multi-harness-rl",
- "host": "huggingface.co",
+ "id": "manual:b91369c0",
+ "title": "2026 10 14 Gartner Says Over Us Dollars Three And A Half Trillion Of Artificial Intelligence Infrastructure Spending Could Be Exposed To Impairment By The End Of 2030",
+ "url": "https://www.gartner.com/en/newsroom/press-releases/2026-10-14-gartner-says-over-us-dollars-three-and-a-half-trillion-of-artificial-intelligence-infrastructure-spending-could-be-exposed-to-impairment-by-the-end-of-2030",
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+ "host": "gartner.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
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"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
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+ "lastSeen": "2026-10-18T07:07:11.186Z",
"status": "pool",
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"duplicateOf": null,
- "company": "Hugging Face",
+ "company": "gartner.com",
"ownProject": false,
"firstParty": true,
- "kind": "education",
- "recentlyCovered": 402
+ "kind": "unknown",
+ "recentlyCovered": null
},
{
- "id": "manual:5e8cc81e",
- "title": "State of AI Report 2026",
- "url": "https://www.stateof.ai/",
- "normalisedUrl": "stateof.ai",
- "host": "stateof.ai",
+ "id": "manual:e6a2dd75",
+ "title": "Implementing decision - 2026/2274 - EN - EUR-Lex",
+ "url": "https://eur-lex.europa.eu/eli/dec_impl/2026/2274/oj/eng",
+ "normalisedUrl": "eur-lex.europa.eu/eli/dec_impl/2026/2274/oj/eng",
+ "host": "eur-lex.europa.eu",
"points": null,
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"discussionUrl": null,
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"ownProject": false,
"firstParty": true,
- "kind": "report",
+ "kind": "unknown",
"recentlyCovered": null
},
{
- "id": "manual:60392f6a",
- "title": "What breaks when AI opens pull requests",
- "url": "https://leaddev.com/event/how-to-make-gitops-work-for-your-team",
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- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
- "status": "rejected",
+ "id": "hn:50132950",
+ "title": "Development statistics for the 7.2 kernel",
+ "url": "https://lwn.net/Articles/1088776/",
+ "normalisedUrl": "lwn.net/Articles/1088776",
+ "host": "lwn.net",
+ "points": 129,
+ "comments": 106,
+ "createdAt": "2026-10-17T17:14:12Z",
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},
{
- "id": "manual:73fa016f",
- "title": "NO1ennn (@N01ennn) on X",
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- "firstSeen": "2026-10-11T12:52:22.875Z",
- "lastSeen": "2026-10-11T12:52:22.875Z",
- "status": "rejected",
+ "id": "hn:50132502",
+ "title": "OpenAI discloses four more rogue incidents",
+ "url": "https://fortune.com/2026/10/16/openai-discloses-four-more-rogue-incidents-involving-financial-medical-and-government-data/",
+ "normalisedUrl": "fortune.com/2026/10/16/openai-discloses-four-more-rogue-incidents-involving-financial-medical-and-government-data",
+ "host": "fortune.com",
+ "points": 124,
+ "comments": 149,
+ "createdAt": "2026-10-17T16:31:12Z",
+ "source": "hn",
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+ "firstSeen": "2026-10-18T07:04:34.919Z",
+ "lastSeen": "2026-10-18T07:04:42.338Z",
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+ "company": "fortune.com",
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"kind": "unknown",
- "recentlyCovered": null,
- "isPointer": true
+ "recentlyCovered": null
},
{
- "id": "manual:a4582eba",
- "title": "Small Data Benchmark",
- "url": "https://djouallah.github.io/lakehouse_benchmark/",
- "normalisedUrl": "djouallah.github.io/lakehouse_benchmark",
- "host": "djouallah.github.io",
+ "id": "feed:0393814f",
+ "title": "Scaling Managed Agents: Decoupling the brain from the hands",
+ "url": "https://www.anthropic.com/engineering/managed-agents",
+ "normalisedUrl": "anthropic.com/engineering/managed-agents",
+ "host": "anthropic.com",
"points": null,
"comments": null,
- "createdAt": "2026-10-11T12:52:22.875Z",
- "source": "manual",
+ "createdAt": "2026-10-17T10:00:35.408Z",
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- "firstSeen": "2026-10-11T12:52:22.875Z",
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+ "company": "Anthropic",
"ownProject": false,
"firstParty": true,
- "kind": "report",
+ "kind": "company-eng",
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},
{
- "id": "manual:c65b0eb9",
- "title": "Keynote: The New Failure Modes – Alejandro Saucedo",
- "url": "https://www.youtube.com/watch?v=BUOqp3G945g",
- "normalisedUrl": "youtube.com/watch?v=BUOqp3G945g",
- "host": "youtube.com",
+ "id": "feed:dbf0d883",
+ "title": "LiteLLM is the known option. agentgateway is the open one.",
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+ "normalisedUrl": "mlops.community/blog/litellm-is-the-known-option-agentgateway-is-the-open-one",
+ "host": "mlops.community",
"points": null,
"comments": null,
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- "source": "manual",
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"discussionUrl": null,
- "firstSeen": "2026-10-11T12:52:22.875Z",
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"status": "pool",
"possibleDuplicate": false,
"duplicateOf": null,
- "company": "youtube.com",
+ "company": "mlops.community",
"ownProject": false,
"firstParty": true,
- "kind": "video",
+ "kind": "unknown",
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},
{
- "id": "manual:db34c1a6",
- "title": "The state of the tech industry in 2026",
- "url": "https://newsletter.pragmaticengineer.com/p/the-state-of-the-tech-industry-in",
- "normalisedUrl": "newsletter.pragmaticengineer.com/p/the-state-of-the-tech-industry-in",
- "host": "newsletter.pragmaticengineer.com",
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@@ -4269,28 +5017,6 @@
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@@ -4599,94 +5237,6 @@
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- "url": "https://mlops.community/blog/the-mlops-adventure-continues-an-agents-md-ready-stack-for-ai-ml",
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{
"id": "hn:49859112",
"title": "DeepSeek Elastic Compute (DSec)",
@@ -4709,28 +5259,6 @@
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},
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{
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+ "recentlyCovered": 408
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{
"id": "hn:49845977",
@@ -5303,28 +5831,6 @@
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},
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{
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},
{
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@@ -6293,28 +6777,6 @@
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},
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{
"id": "hn:49615537",
"title": "Muse – Meta’s personal AI agent",
@@ -6469,28 +6931,6 @@
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"recentlyCovered": null
},
- {
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- "title": "Research acceleration: The view inside OpenAI",
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{
"id": "hn:49585644",
"title": "Your intellectual fly is open when you use an LLM to author a post (2025)",
@@ -6601,28 +7041,6 @@
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},
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- "title": "Nobody is saying why OpenAI and Anthropic had outages",
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{
"id": "hn:49563355",
"title": "Discovery of a new OpenAI agent message board",
@@ -6777,28 +7195,6 @@
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},
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- "title": "Claude outage – Resolved",
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{
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@@ -6819,7 +7215,7 @@
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+ "recentlyCovered": 408
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{
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+ "recentlyCovered": 408
},
{
"id": "manual:c8fcaa4f",
@@ -7129,50 +7525,6 @@
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},
- {
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- "title": "Claude Session URL appended to commit messages and PR descriptions by default",
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- "title": "Longest Straight Line Paths on Water or Land on the Earth (2018)",
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{
"id": "hn:49486081",
"title": "StemDeck, a free, open-source and local AI stem separator",
@@ -7327,28 +7679,6 @@
"kind": "unknown",
"recentlyCovered": null
},
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- "title": "Show HN: We built open OpenRouter that turns usage into a better model",
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{
"id": "hn:49468818",
"title": "Gemini-3.5-Transcribe",
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+ "recentlyCovered": 408
},
{
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},
{
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@@ -7789,28 +8119,6 @@
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},
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- "title": "A week of using Codex more than Claude",
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- "createdAt": "2026-08-21T19:51:48Z",
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{
"id": "hn:49388752",
"title": "Claudette: Make Claude stop talking like a BuzzFeed article",
@@ -7899,28 +8207,6 @@
"kind": "tooling",
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},
- {
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- "createdAt": "2026-08-20T15:06:53Z",
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{
"id": "hn:49367350",
"title": "Feature Request: Support AGENTS.md",
@@ -7943,28 +8229,6 @@
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"recentlyCovered": null
},
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- "title": "Mathematics in the age of AI",
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{
"id": "hn:49361279",
"title": "PostgreSQL for Everything",
@@ -8075,28 +8339,6 @@
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},
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- "createdAt": "2026-08-18T13:38:23Z",
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{
"id": "hn:49344643",
"title": "Claude writing a macOS driver for my obscure HP printer built only for Windows",
@@ -8273,28 +8515,6 @@
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},
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- "title": "What happens when an LLM never sees material beyond fifth grade?",
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{
"id": "hn:49309549",
"title": "Auto-research with codex: How I achieved a 232x Faster Kernel",
@@ -8845,28 +9065,6 @@
"kind": "unknown",
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},
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{
"id": "hn:49247070",
"title": "Learning more about Claude's mathematical capabilities",
@@ -8955,28 +9153,6 @@
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},
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{
"id": "hn:49241679",
"title": "Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows",
@@ -9087,28 +9263,6 @@
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},
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- "title": "Kitesurf: Agent-first browser that runs in V8 isolates",
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{
"id": "hn:49201970",
"title": "AMD acquires Taalas to boost inference performance by etching models in silicon",
@@ -9175,28 +9329,6 @@
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},
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- "id": "hn:49189234",
- "title": "Nvidia’s Vera Whitepaper Has a Thread Loose",
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{
"id": "hn:49187575",
"title": "Muse Code and Muse Spark 1.2",
@@ -9329,28 +9461,6 @@
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- "title": "I Compressed Bad Apple into a 3MB Neural Network [P]",
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- "points": 211,
- "comments": 43,
- "createdAt": "2026-08-05T00:01:48.000Z",
- "source": "reddit",
- "discussionUrl": "https://www.reddit.com/r/MachineLearning/comments/1vfrco1/i_compressed_bad_apple_into_a_3mb_neural_network_p/",
- "firstSeen": "2026-08-08T15:16:09.748Z",
- "lastSeen": "2026-08-08T15:37:24.623Z",
- "status": "pool",
- "possibleDuplicate": false,
- "duplicateOf": null,
- "company": "reddit.com",
- "ownProject": false,
- "firstParty": true,
- "kind": "unknown",
- "recentlyCovered": null
- },
{
"id": "hn:49171268",
"title": "Mistral's Shieldstral: 3B open-weights model for multimodal moderation",
@@ -9571,28 +9681,6 @@
"kind": "unknown",
"recentlyCovered": null
},
- {
- "id": "hn:49150561",
- "title": "OpenAI's super PAC is funding AI-generated news site attacking industry critics",
- "url": "https://www.modelrepublic.org/articles/the-reporters-at-this-news-site-are-ai-bots.-openai%E2%80%99s-super-pac-appears-to-be-using-it-to-advance-its-political-agenda",
- "normalisedUrl": "modelrepublic.org/articles/the-reporters-at-this-news-site-are-ai-bots.-openai%E2%80%99s-super-pac-appears-to-be-using-it-to-advance-its-political-agenda",
- "host": "modelrepublic.org",
- "points": 213,
- "comments": 106,
- "createdAt": "2026-08-03T02:30:30Z",
- "source": "hn",
- "discussionUrl": "https://news.ycombinator.com/item?id=49150561",
- "firstSeen": "2026-08-08T15:16:09.748Z",
- "lastSeen": "2026-08-08T15:37:24.623Z",
- "status": "pool",
- "possibleDuplicate": false,
- "duplicateOf": null,
- "company": "modelrepublic.org",
- "ownProject": false,
- "firstParty": true,
- "kind": "unknown",
- "recentlyCovered": null
- },
{
"id": "hn:49150470",
"title": "Qwen3.8-Max: A New Bar for Coding and Cowork",
diff --git a/src/content/events.yaml b/src/content/events.yaml
index 96b0a572..cb5aaa81 100644
--- a/src/content/events.yaml
+++ b/src/content/events.yaml
@@ -3,6 +3,16 @@
# One event is one conference: several talks or several per-track CFPs live in the arrays.
# Sorted by `start`, newest first.
+- slug: world-summit-ai-europe-2027
+ name: World Summit AI Europe 2027
+ series: world-summit-ai-europe
+ url: https://worldsummit.ai/
+ image: https://worldsummit.ai/wp-content/uploads/sites/4/2025/10/WSAI25_Karen-Hao_Main-Stage_Wide-Audience-scaled.jpg
+ start: 2027-10-06
+ end: 2027-10-07
+ location: Amsterdam, NL
+ topics: [ai-agents, ai-policy, llms]
+
- slug: humanx-emea-2027
name: HumanX EMEA 2027
series: humanx-emea
@@ -100,6 +110,16 @@
- url: https://sessionize.com/kubecon-cloudnativecon-europe-2027/
deadline: 2026-10-11
+- slug: ai-engineer-europe-2027
+ name: AI Engineer Europe 2027
+ series: ai-engineer-europe
+ url: https://ai.engineer/europe/2027
+ image: https://ai.engineer/hero-image.png
+ start: 2027-02-17
+ end: 2027-02-19
+ location: London, UK
+ topics: [ai-agents, llms, ai-infrastructure]
+
- slug: waicf-2027
name: World AI Cannes Festival 2027
series: waicf
diff --git a/src/content/newsletter/409.md b/src/content/newsletter/409.md
new file mode 100644
index 00000000..150871bd
--- /dev/null
+++ b/src/content/newsletter/409.md
@@ -0,0 +1,138 @@
+---
+issue: 409
+date: 2026-10-18
+summary: "Netflix's Knowledge Graph for Agents, Europe Tops Time Series Twice, Anthropic on Agent-Scale Code Review, Meta on the GEM Ads Model, Will Larson on Small-Change PRs + more 🚀"
+tags: [ai-agents, llms, forecasting]
+---
+
+Thank you for being part of over [70,000+ ML professionals and enthusiasts](/newsletter/) who receive weekly articles & tutorials on Machine Learning & MLOps 🤖 You can join the newsletter [/newsletter/](/newsletter/) ⭐
+
+If you like the content please support the newsletter by sharing with your friends via ✉️ [Email](mailto:EMAIL?subject=Check%20out%20the%20Machine%20Learning%20Engineering%20Newsletter!&body=Check%20out%20this%20weekly%20newsletter%20on%20Machine%20Learning!%20Join%20for%20free%20here%3A%20https%3A%2F%2Fethical.institute%2Fmle.html), 🐦 [Twitter](), 💼 [Linkedin]() and 📕 [Facebook](http://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fethical.institute%2Fmle.html)!
+
+## This week in [ML Engineering](http://ethical.institute/mle/409.html):
+
+- Netflix's Knowledge Graph [for Agents](https://netflixtechblog.com/ontology-driven-observability-building-an-end-to-end-knowledge-graph-at-netflix-scale-421392cf5adf)
+- Europe Tops [Time Series Twice](https://mistral.ai/news/timestral/)
+- Anthropic on [Agent-Scale Code Review](https://claude.dev/blog/solving-code-review-at-anthropic/)
+- Meta on [the GEM Ads Model](https://engineering.fb.com/2026/10/13/ml-applications/generative-ads-model-gem-scaling-frontier-ads-ai/)
+- Will Larson on [Small-Change PRs](https://lethain.com/small-changes/)
+- Open Source [ML Frameworks](/open-source/production-ml-list/)
+- Awesome AI Guidelines [to check out this week](/open-source/ai-guidelines/)
+- \+ more 🚀
+
+## [Netflix's Knowledge Graph for Agents](https://netflixtechblog.com/ontology-driven-observability-building-an-end-to-end-knowledge-graph-at-netflix-scale-421392cf5adf)
+
+Knowledge bases are now one of the most valuable things we can build for our AI agents, but how do we start? Netflix just shared a great example of how they built an LLM knowledgebase for production systems.
+
+Netflix basically built an ontology-driven knowledge graph that sits underneath their agentic root cause analysis system, which is then able to automatically and efficiently extract signal from their large scale production systems.
+
+Their starting point is a home screen regression that took 4 hours to fix, and most of that time went into reconstructing how systems relate to each other; an application in one tool is a service in another and a cluster in a third, and only a few people carry that mapping in their heads.
+
+Their created an is an ontology on the W3C stack (RDF, OWL, SHACL and SPARQL) stored in their own RDF graph database, with dozens of "enrichers" which turn telemetry+alerts+deployments+Slack channels into facts where every application gets validated against their software catalog of around 49,000 entries.
+
+I found quite interesting how they make LLM output trustworthy, as they have LLMs summarising the incident discussions and using fuzzy matching to resolve the names, however nothing enters the graph unless it fits the type system, so the same query returns the same answer every time.
+
+They are upfront that it is early, as the ranked hypotheses are sometimes wrong and there are no before/after numbers yet. For production ML practitioners the takeaway is that a lot of the agent quality comes from the context layer we give them!
+
+## [Europe Tops Time Series Twice](https://mistral.ai/news/timestral/)
+
+Two European time series foundation models claimed the top spot in the same week, and I couldn't pick one so I'm sharing both 🇪🇺🚀🇫🇷 The Forecasting Company released [t0-gamma](https://www.theforecastingcompany.com/blog/t0-gamma), and two days later Mistral released Timestral, their first family of time series models.
+
+t0-gamma follows the t0-beta release we covered a few weeks ago, and at release it ranked first among time series foundation models on GIFT-Eval, fev-bench and TIME. They use the same checkpoint everywhere with no task-specific retraining, and the weights are on Hugging Face.
+
+Timestral comes in 4 sizes from 5M to 209M parameters under a modified MIT licence, and Mistral claims the 209M model ranks first on the same three benchmarks. Their charts put it narrowly ahead of t0-gamma on all 5 metrics (e.g. 50.4 vs 49.4 on fev-bench). It also runs on a CPU, at around 140ms for a day-ahead forecast with the largest model, and most of its training data was synthetic.
+
+The margins are tiny and both results are self-reported, with Mistral's technical report still to come. Still, it is great to see two Paris teams at the top of a benchmark where TimesFM and Chronos were the names to beat!
+
+## [Anthropic on Agent-Scale Code Review](https://claude.dev/blog/solving-code-review-at-anthropic/)
+
+The Claude Code team at Anthropic shared how they do code review now that Claude writes around 90% of their code:
+
+They report that merged PRs to Claude Code more than doubled between June and September while the share of reverts fell by over 40%. Across the Anthropic monorepo, changes landing per day went from around 2,500 in May to over 30,000 in September.
+
+It seems that now Claude writes and reviews a large % of their PRs! They have a step where Claude verifies its own work before opening a PR, then several review agents hunt for bugs in parallel and only post a finding when enough of them agree. Humans approve by risk tier, from no approval for docs and copy changes up to two reviewers for the highest risk tier.
+
+An agent's approval never counts as a human one, and they are honest about what is missing as there are no circuit breakers yet that tighten approval when reverts go up.
+
+It is interesting to see review being designed around the risk of each change, and it pairs nicely with the last article in this issue.
+
+## [Meta on the GEM Ads Model](https://engineering.fb.com/2026/10/13/ml-applications/generative-ads-model-gem-scaling-frontier-ads-ai/)
+
+Meta just published a new Generative Ads Foundation model, which replaces per-surface models with one central model across Facebook, Instagram and Reels - it is fascinating to see FMs now arriving to marketing:
+
+Meta reports an 18.9% improvement in conversions and 12% in ad click-through, with 2.5x the model complexity of the previous models. They also observe an LLM-like scaling law, as prediction quality follows a power law in sequence length and larger models benefit more from longer sequences.
+
+The model is too expensive to serve in real time, so they transfer/distill its knowledge to hundreds of smaller vertical models. They also precompute user-ad embeddings in the background with a system called Solaris, borrowing the idea from speculative decoding.
+
+This is pretty exciting to see for both ML and marketing practitioners, as it seems that we're now going to start seeing the ImageNet moment in many many more fields.
+
+## [Will Larson on Small-Change PRs](https://lethain.com/small-changes/)
+
+What do you do when your engineers merge 4x more PRs than 2 years ago? Will Larson shared how Imprint introduced a framework that acceleraed PR approved with help from agents:
+
+They claim that they were able to achieve the PR throughput whilst decreasing incidents 42% half-over-half, but median review time went up from around 33 minutes to 77.
+
+Basically on their framework a PR qualifies when it is under 1,000 lines, has no high priority findings from their AI review bot, comes from an author with 10+ merged PRs in each service it touches and avoids shared libraries. C
+
+It is early days for them it seems with only around 10% of changes qualifying, and Will admits the knobs will need tuning "for a long time. Maybe forever..." - which I agree!
+
+## Upcoming [MLOps Events](/talks-and-events/)
+
+The MLOps ecosystem continues to grow at break-neck speeds, making it ever harder for us as practitioners to stay up to date with relevant developments. A fantsatic way to keep on-top of relevant resources is through the great community and events that the MLOps and Production ML ecosystem offers. This is the reason why we have started curating a list of upcoming events in the space, which are outlined below.
+
+You can also find our upcoming events and past talk recordings on the [talks and events page](/talks-and-events/).
+
+### Events we are speaking at this year:
+
+- [Code.Talks 2026](https://codetalks.com/) - November @ Hamburg
+
+### Other relevant events:
+
+- [MLOps World 2026](https://mlopsworld.com/) - Nov @ Austin
+- [WAICF 2027](https://waicf.com/) - Feb @ Cannes
+- [AI Engineer Europe 2027](https://ai.engineer/europe/2027) - Feb @ London
+- [KubeCon + CloudNativeCon Europe 2027](https://events.linuxfoundation.org/kubecon-cloudnativecon-europe-2027/) - March @ Barcelona
+- [QCon London 2027](https://qconlondon.com/) - April @ London
+- [MLSys 2027](https://mlsys.org/) - May @ Santa Clara
+- [The AI Summit London 2027](https://london.theaisummit.com/) - June @ London
+- [AI Engineer World's Fair 2027](https://ai.engineer/) - June @ San Francisco
+- [RAISE Summit 2027](https://www.raisesummit.com/) - July @ Paris
+- [WeAreDevelopers World Congress 2027](https://www.wearedevelopers.com/world-congress) - July @ Berlin
+- [AGNTCon + MCPCon Europe 2027](https://events.linuxfoundation.org/agntcon-mcpcon-europe-2027/) - Sept @ London
+- [HumanX EMEA 2027](https://www.humanx.co/europe) - Sept @ Amsterdam
+- [World Summit AI Europe 2027](https://worldsummit.ai/) - Oct @ Amsterdam
+
+### In case you missed our talks, check our recordings below:
+
+- Observability in the Age of AI Agents - [Signals Berlin 2026](https://www.youtube.com/watch?v=BUOqp3G945g)
+- The State of AI in 2025 - [WeAreDevelopers 2025](https://www.youtube.com/watch?v=v2LENQOG-Xg)
+- Prod Generative AI in 2024 - [KubeCon AI Day 2025](https://www.youtube.com/watch?v=0uJGmMZGUJE&list=PLj6h78yzYM2PRMe1c34bs0sdXo2mlsUov&index=3)
+- The State of AI in 2024 - [WeAreDevelopers 2024](https://www.youtube.com/live/AtA2XXo_b5s)
+- Responsible AI Workshop Keynote - [NeurIPS 2021](http://www.youtube.com/watch?v=57YpXjcj0Ho)
+- Practical Guide to ML Explainability - [PyCon London](http://www.youtube.com/watch?v=vq8mDiDODhc)
+- ML Monitoring: Outliers, Drift, XAI - [PyCon Keynote](http://www.youtube.com/watch?v=QcevzK9ZuDg)
+- Metadata for E2E MLOps - [Kubecon NA 2022](https://www.youtube.com/watch?v=OSbH4dfswCY)
+- ML Performance Evaluation at Scale - [KubeCon Eur 2021](http://www.youtube.com/watch?v=8ORl8lu1Eeo)
+- Industry Strength LLMs - [PyData Global 2022](https://www.youtube.com/watch?v=RVUi_rAFfzU)
+- ML Security Workshop Keynote - [NeurIPS 2022](http://www.youtube.com/watch?v=7XSy5aw8oU8)
+
+## Open Source [MLOps Tools](/open-source/production-ml-list/)
+
+Check out the fast-growing ecosystem of production ML tools & frameworks at [the github repository](/open-source/production-ml-list/) which has reached over 20,000 ⭐ github stars. We are currently looking for more libraries to add - if you know of any that are not listed, please let us know or feel free to add a PR. Here's a few featured open source libraries that we maintain:
+
+- [SARC](https://github.com/besanson/sarc-governance/tree/main) - Provides wrappers for popular agentic frameworks to enable guardrails and constraints that are enforced through the flow.
+- [KAOS](https://github.com/axsaucedo/kaos) - K8s Agent Orchestration Service for managing the KAOS in large-scale distributed agentic systems.
+- [Kompute](https://github.com/KomputeProject/kompute) - Blazing fast, lightweight and mobile phone-enabled GPU compute framework optimized for advanced data processing usecases.
+- [Production ML Tools](/open-source/production-ml-list/) - A curated list of tools to deploy, monitor and optimize machine learning systems at scale.
+- [AI Policy List](https://github.com/EthicalML/awesome-artificial-intelligence-regulation) - A mature list that maps the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
+- [Agentic Systems Tools](https://github.com/EthicalML/awesome-production-genai/) - A new list that aims to map the emerging ecosystem of agentic systems with tools and frameworks for scaling this domain
+
+Please do support some of our open source projects by sharing, contributing or adding a star ⭐
+
+## About us
+
+The Institute for Ethical AI & Machine Learning is a European research centre that carries out world-class research into responsible machine learning.
+
+[Check out our website](https://ethical.institute/)
+
+✉️ [Email](mailto:EMAIL?subject=Check%20out%20the%20Machine%20Learning%20Engineering%20Newsletter!&body=Check%20out%20this%20weekly%20newsletter%20on%20Machine%20Learning!%20Join%20for%20free%20here%3A%20https%3A%2F%2Fethical.institute%2Fmle.html), 🐦 [Twitter](http://twitter.com/EthicalML), 💼 [Linkedin](https://www.linkedin.com/company/the-institute-for-ethical-machine-learning/)