From b07fc0964a95e241a026b7233da7c82b3e00315f Mon Sep 17 00:00:00 2001 From: tensorfeed-freshness-bot Date: Mon, 27 Jul 2026 12:27:17 +0000 Subject: [PATCH] chore(freshness): weekly curated-page review --- data/agents-directory.json | 12 +++++++- data/ai-infrastructure-projects.json | 29 +++++++++++++++--- data/page-freshness.json | 12 ++++---- data/timeline.json | 7 +++++ worker/src/ai-crawler-access-seeds.ts | 1 + worker/src/ai-hardware.ts | 44 +++++++++++++++++++++++++-- 6 files changed, 91 insertions(+), 14 deletions(-) diff --git a/data/agents-directory.json b/data/agents-directory.json index 2c901b8e..66cb5646 100644 --- a/data/agents-directory.json +++ b/data/agents-directory.json @@ -1,5 +1,5 @@ { - "lastUpdated": "2026-06-05", + "lastUpdated": "2026-07-27", "categories": [ { "id": "coding", @@ -118,6 +118,16 @@ "pricing": "Free tier, Advanced $19.99/mo (included with Google One AI Premium)", "launched": 2023 }, + { + "id": "muse-spark", + "name": "Muse Spark", + "provider": "Meta", + "category": "general", + "description": "Meta's first paid commercial API model, released July 9, 2026. A multimodal reasoning model built for agentic and coding work with a 1 million token self-managed context window, native primary-agent and subagent orchestration, and MCP plus custom-skill support. Priced at $1.25 per million input tokens and $4.25 per million output, with $20 in free credits per new account.", + "url": "https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/", + "pricing": "$1.25/M input, $4.25/M output; $20 free credit on signup", + "launched": 2026 + }, { "id": "gemini-spark", "name": "Gemini Spark", diff --git a/data/ai-infrastructure-projects.json b/data/ai-infrastructure-projects.json index 85a2127c..2b3655f0 100644 --- a/data/ai-infrastructure-projects.json +++ b/data/ai-infrastructure-projects.json @@ -1,6 +1,6 @@ { "version": 2, - "generated_at": "2026-06-05T00:00:00Z", + "generated_at": "2026-07-27T00:00:00Z", "license": "TF curation CC-BY-4.0. Underlying public-record sources retain their original license.", "notice": "Editorial registry of disclosed major AI buildout projects. Each entry preserves canonical source URLs. Capacity, capex, and timeline figures reflect publicly announced or reported numbers at time of curation and may evolve. Status enum: announced (publicly committed, no ground broken), permitted (regulatory greenlights obtained), construction (active build), operational (online and serving traffic). Power source enum is the announced primary source; many projects mix multiple feeds.", "schema": { @@ -146,19 +146,20 @@ }, { "id": "microsoft-mount-pleasant-wisconsin", - "name": "Microsoft Mount Pleasant Campus", + "name": "Microsoft Mount Pleasant Campus (Fairwater)", "operator": "Microsoft", "partners": ["We Energies"], "location": { "city": "Mount Pleasant", "state": "Wisconsin", "country": "USA" }, - "status": "construction", + "status": "operational", "capacity_mw_announced": null, "power_source": "mixed including new gas plants", "announced_date": "2024-03-08", "target_operational": "2026", "capex_usd_billion": 3.3, - "context": "Sits on the former Foxconn site. Microsoft announced an additional $3.3 billion commitment in 2024 on top of earlier phases. We Energies has separately filed for approval of two new natural gas peaker plants partly attributed to the data center load.", + "context": "Sits on the former Foxconn site. Microsoft announced an additional $3.3 billion commitment in 2024 on top of earlier phases. The Fairwater datacenter completed construction in June 2026 and is now fully operational, with roughly 550 full-time employees on site. A second facility of similar scale is planned for $4 billion by end of 2028, bringing total Wisconsin investment above $7 billion. We Energies has separately filed for approval of two new natural gas peaker plants partly attributed to the data center load.", "primary_sources": [ - "https://blogs.microsoft.com/blog/2024/05/08/3-3b-microsoft-investment-in-mount-pleasant-to-spur-ai-innovation/" + "https://blogs.microsoft.com/blog/2024/05/08/3-3b-microsoft-investment-in-mount-pleasant-to-spur-ai-innovation/", + "https://news.microsoft.com/source/2026/06/23/microsoft-completes-construction-on-first-datacenter-facility-in-mount-pleasant-wisconsin/" ] }, { @@ -303,6 +304,24 @@ "https://www.anthropic.com/news/anthropic-invests-50-billion-in-american-ai-infrastructure" ] }, + { + "id": "softbank-france-hauts-de-france", + "name": "SoftBank France AI Datacenter Program", + "operator": "SoftBank Group", + "partners": ["EDF", "Schneider Electric", "SB Energy"], + "location": { "city": "Dunkirk, Bosquel, Bouchain", "state": "Hauts-de-France", "country": "France" }, + "status": "announced", + "capacity_mw_announced": 5000, + "power_source": "nuclear (EDF grid)", + "announced_date": "2026-05-30", + "target_operational": "2031", + "capex_usd_billion": 85, + "context": "Announced at President Macron's 2026 Choose France summit on May 30, 2026. SoftBank committed up to 75 billion euros (roughly $85 billion) for up to 5 GW of AI datacenter capacity across three sites in the Hauts-de-France region. Phase 1 is a firm 45 billion euro commitment to deliver 3.1 GW by 2031 at Dunkirk (Loon-Plage), Bosquel, and Bouchain. The remaining 30 billion euros and 1.9 GW of Phase 2 capacity are conditional on Phase 1 delivery. EDF supplies nuclear power; Schneider Electric is co-developing industrial facilities at Dunkirk.", + "primary_sources": [ + "https://group.softbank/en/news/press/20260531_0", + "https://www.cnbc.com/2026/05/31/softbank-to-build-up-ai-data-centers-in-france-with-major-investment.html" + ] + }, { "id": "anthropic-spacex-colossus-orbital", "name": "Orbital AI Compute (Concept)", diff --git a/data/page-freshness.json b/data/page-freshness.json index 2b6208cc..0e153441 100644 --- a/data/page-freshness.json +++ b/data/page-freshness.json @@ -8,17 +8,17 @@ "policy": "Editor bumps last_reviewed when the page gets a real review or content update. Pages with cadence other than 'editorial' get a Next-Review-Due stamp computed from last_reviewed + cadence interval, and surface an OVERDUE flag when today is past that date.", "pages": { "/ai-infrastructure": { - "last_reviewed": "2026-06-05", + "last_reviewed": "2026-07-27", "cadence": "weekly", "notes": "New projects added when announced; updates when status (announced/permitted/construction/operational) changes." }, "/ai-crawler-access": { - "last_reviewed": "2026-06-02", + "last_reviewed": "2026-07-27", "cadence": "weekly", "notes": "Aggregate numbers refresh from the daily crawl via the live summary endpoint. This stamp tracks editorial review of the methodology and seed universe (worker/src/ai-crawler-access-seeds.ts)." }, "/timeline": { - "last_reviewed": "2026-05-13", + "last_reviewed": "2026-07-27", "cadence": "monthly", "notes": "Historical record of AI ecosystem milestones. Monthly review for new entries." }, @@ -28,12 +28,12 @@ "notes": "Model catalog and pricing. Update when a flagship drops, when a tracked model is deprecated, or when a provider changes pricing. Reminder issue opens Mondays via weekly-models-check workflow." }, "/ai-hardware": { - "last_reviewed": "2026-06-05", + "last_reviewed": "2026-07-27", "cadence": "weekly", "notes": "Hand-curated AI accelerator chip catalog in worker/src/ai-hardware.ts. Update when a new datacenter chip ships (NVIDIA, AMD, Google, AWS, Apple, Cerebras, Groq) or when specs are corrected. Reminder issue opens Mondays via weekly-ai-hardware-check workflow." }, "/agents": { - "last_reviewed": "2026-06-05", + "last_reviewed": "2026-07-27", "cadence": "biweekly", "notes": "Agent-only work directory and the ARB-backed agent surface. Refresh data/agents-directory.json when notable new agent products ship or when categories shift. Reminder issue opens every other Monday via biweekly-agents-directory-check workflow." }, @@ -43,7 +43,7 @@ "notes": "data/benchmarks.json. Add a row when a flagship lands or when benchmark rankings materially shift. Reminder issue opens Mondays via existing weekly-benchmarks-check workflow." }, "/podcasts": { - "last_reviewed": "2026-05-21", + "last_reviewed": "2026-07-27", "cadence": "monthly", "notes": "Curated podcast list in the page itself. Monthly review to add new AI-focused podcasts and prune dormant ones." } diff --git a/data/timeline.json b/data/timeline.json index 31402186..38ac5824 100644 --- a/data/timeline.json +++ b/data/timeline.json @@ -140,6 +140,13 @@ "category": "open-source", "description": "MiniMax launched M3, an open-weight coding and agentic model built on MiniMax Sparse Attention, which replaces full attention with KV-block selection and cuts per-token compute at 1M context to roughly one twentieth of the previous generation. M3 accepts text, image, and video input across a 1,048,576 token context window with up to 512K output tokens, priced at $0.30 per million input and $1.20 per million output. MiniMax reports 59% on SWE-Bench Pro and 83.5 on BrowseComp, though headline runs used its own infrastructure with agent scaffolding, so independent verification is pending. Weights and a technical report are due on Hugging Face within about ten days." }, + { + "date": "2026-05-30", + "title": "SoftBank Commits Up to $85 Billion to Build 5 GW of AI Datacenters in France", + "provider": "SoftBank", + "category": "funding", + "description": "SoftBank Group announced up to 75 billion euros ($85 billion) for 5 GW of AI datacenter capacity across three sites in the Hauts-de-France region, announced at President Macron's 2026 Choose France summit. Phase 1 is a firm 45 billion euro commitment to deliver 3.1 GW by 2031 at Dunkirk (Loon-Plage), Bosquel, and Bouchain, powered primarily by EDF nuclear supply. The remaining 30 billion euros and 1.9 GW of Phase 2 capacity are conditional on Phase 1 delivery. The announcement is one of the largest single AI infrastructure commitments in European history." + }, { "date": "2026-05-28", "title": "Anthropic Raises $65B Series H at $965B Valuation", diff --git a/worker/src/ai-crawler-access-seeds.ts b/worker/src/ai-crawler-access-seeds.ts index 826be01e..a08a667f 100644 --- a/worker/src/ai-crawler-access-seeds.ts +++ b/worker/src/ai-crawler-access-seeds.ts @@ -54,6 +54,7 @@ export const SEED_DOMAINS: SeedDomain[] = [ { domain: 'pika.art', sector: 'ai-company' }, { domain: 'lovable.dev', sector: 'ai-company' }, { domain: 'cursor.com', sector: 'ai-company' }, + { domain: 'devin.ai', sector: 'ai-company' }, { domain: 'contextual.ai', sector: 'ai-company' }, { domain: 'ai21.com', sector: 'ai-company' }, // expansion to 500 (2026-06-02) diff --git a/worker/src/ai-hardware.ts b/worker/src/ai-hardware.ts index 56c93bf7..049c91b3 100644 --- a/worker/src/ai-hardware.ts +++ b/worker/src/ai-hardware.ts @@ -13,7 +13,7 @@ export interface AIHardware { id: string; name: string; - manufacturer: 'NVIDIA' | 'AMD' | 'Google' | 'AWS' | 'Intel' | 'Apple' | 'Cerebras' | 'Groq'; + manufacturer: 'NVIDIA' | 'AMD' | 'Google' | 'AWS' | 'Intel' | 'Apple' | 'Cerebras' | 'Groq' | 'Microsoft'; family: string; /** Process node (e.g. "TSMC 4N", "TSMC 3nm"). */ process: string; @@ -277,6 +277,25 @@ export const AI_HARDWARE_CATALOG: AIHardware[] = [ notes: 'TPU inference tier. Cheaper than v5p; 256-chip pods. Best fit for Google Cloud customers serving Gemini-style inference at scale.', url: 'https://cloud.google.com/tpu/docs/v5e', }, + { + id: 'tpu-v7-ironwood', + name: 'Google TPU v7 (Ironwood)', + manufacturer: 'Google', + family: 'TPU', + process: 'TSMC (node undisclosed)', + released: '2026', + memoryGB: 192, + memoryBandwidthTBs: 7.38, + fp16TFLOPS: 2307, + fp8TFLOPS: 4614, + fp4TFLOPS: null, + tdpWatts: 600, + interconnect: 'ICI (1.2 TB/s bidirectional per chip, 3D torus)', + listPriceUSD: null, + availability: 'Google Cloud only (GA April 2026)', + notes: "Google's first inference-first TPU. Dual-chiplet design with SparseCores. Full 9,216-chip pod hits 42.5 ExaFLOPS FP8. 2x better perf/watt vs TPU v6e (Trillium).", + url: 'https://cloud.google.com/tpu/docs/tpu7x', + }, // ── AWS Trainium ────────────────────────────────────────── { @@ -379,6 +398,27 @@ export const AI_HARDWARE_CATALOG: AIHardware[] = [ url: 'https://cerebras.ai/product-chip/', }, + // ── Microsoft ───────────────────────────────────────────── + { + id: 'maia-200', + name: 'Microsoft Maia 200', + manufacturer: 'Microsoft', + family: 'Maia', + process: 'TSMC 3nm', + released: '2026', + memoryGB: 216, + memoryBandwidthTBs: 7.0, + fp16TFLOPS: null as unknown as number, + fp8TFLOPS: 5000, + fp4TFLOPS: 10000, + tdpWatts: 750, + interconnect: 'Azure custom backend fabric', + listPriceUSD: null, + availability: 'Azure only (inference workloads inside Microsoft 365 Copilot, Foundry)', + notes: 'Microsoft\'s first in-house AI accelerator, live in Azure as of January 2026. 216 GB HBM3e, 30% better perf/dollar over prior systems. BF16 TFLOPS not publicly disclosed.', + url: 'https://news.microsoft.com/source/2026/01/microsoft-introduces-maia-200-new-inference-accelerator-enhances-ai-performance-in-azure/', + }, + // ── Groq ────────────────────────────────────────────────── { id: 'groq-lpu', @@ -401,4 +441,4 @@ export const AI_HARDWARE_CATALOG: AIHardware[] = [ }, ]; -export const AI_HARDWARE_LAST_UPDATED = '2026-06-05'; +export const AI_HARDWARE_LAST_UPDATED = '2026-07-27';