AI Release Tracker follows product release claims in our published news archive. Use it to revisit an announcement, inspect its recorded sources, and decide what needs checking next.
Availability not independently checked. Every entry is an automatically selected claim, including stories that say “available now.” Unknown availability does not mean unavailable. No access tests or completed follow-ups are recorded here.
Snapshot assembled . Latest matching article: . This is not a source-access or availability-check timestamp.
Release-claim articles
52
Availability unchecked
52
7-day checks due
33
30-day checks due
0
Find a release claim
“Major” means names on our explicit watchlist, not a verified importance ranking. Organization matches are mentions, not confirmed product ownership. Dates are UTC.
52 matching articles · page 3 of 3. Export includes every matching record, not just this page.
The llama.cpp project released version 0.3.0 with support for the dots3-note vision-and-audio model, new DeepSeek 4 tensor-split handling, GLM-4.5-Air multi-token prediction, and updates across its inference backends and web interface.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “adds”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
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· Upcoming; not scheduled
Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
github.comhttps://github.com/ggml-org/llama.cpp/releases/tag/v0.3.0Recorded: Unknown · Article source field
github.comhttps://github.com/ggml-org/llama.cpp/releases/tag/v0.3.0Recorded: · Source history
chemeurope.com reports that Microsoft Research’s Skala AI model has been integrated into the open-source CP2K simulation ecosystem, giving researchers access to an AI-based exchange-correlation functional for quantum-mechanical simulations. The outlet says initial testing showed improved accuracy in a specific test…
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “available”. Announcement date: unknown. Article updated: .
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Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
chemeurope.comhttps://www.chemeurope.com/en/news/1189643/ai-model-skala-now-available-on-the-open-source-simulation-platform-cp2k.htmlRecorded: Unknown · Article source field
chemeurope.comhttps://www.chemeurope.com/en/news/1189643/ai-model-skala-now-available-on-the-open-source-simulation-platform-cp2k.htmlRecorded: · Source history
India Today reports that Nvidia’s agreement with AI startup Poolside would give Nvidia access to Poolside’s technology and bring more than 100 employees into its Nemotron open-weight model effort. The report also says Nvidia will invest $1 billion in Poolside at a $12 billion pre-money valuation, while rising…
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “open”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
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Recorded source links (7)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
indiatoday.inhttps://www.indiatoday.in/amp/technology/news/story/nvidia-is-going-after-openai-and-deepseek-with-its-6-billion-poolside-deal-2978335-2026-08-24Recorded: Unknown · Article source field
investors.comhttps://www.investors.com/news/technology/nvidia-stock-nvda-poolside-deal-ai-investments/Recorded: · Source history
eu.36kr.comhttps://eu.36kr.com/en/p/3954557325802627Recorded: · Source history
techmarketview.comhttps://www.techmarketview.com/ukhotviews/archive/2026/08/25/nvidias-6bn-poolside-deal-is-a-bet-on-open-source-aiRecorded: · Source history
globaltimes.cnhttps://www.globaltimes.cn/page/202608/1368914.shtmlRecorded: · Source history
opensourceforu.comhttps://www.opensourceforu.com/2026/08/nvidia-signs-deal-with-poolside/Recorded: · Source history
indiatoday.inhttps://www.indiatoday.in/amp/technology/news/story/nvidia-is-going-after-openai-and-deepseek-with-its-6-billion-poolside-deal-2978335-2026-08-24Recorded: · Source history
Alibaba has officially rolled out Wan3.0, which the company says can generate 30-second videos from documents, spreadsheets, slides and web pages. Reuters reported the release alongside Alibaba’s $10 billion share sale and increased AI spending.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “rolls out”. Announcement date: unknown. Article updated: .
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Recorded source links (7)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
m.economictimes.comhttps://m.economictimes.com/tech/technology/alibaba-launches-wan3-0-ai-video-model-after-10-billion-share-sale/amp_articleshow/133460529.cmsRecorded: Unknown · Article source field
gigazine.nethttps://gigazine.net/gsc_news/en/20260825-alibaba-wan-3-0/Recorded: · Source history
dataconomy.comhttps://dataconomy.com/2026/08/24/alibaba-launches-wan30-a-30-second-ai-video-generation-model/Recorded: · Source history
tribune.com.pkhttps://tribune.com.pk/story/2625595/alibaba-launches-wan30-ai-video-model-after-10-billion-share-saleRecorded: · Source history
winbuzzer.comhttps://winbuzzer.com/2026/08/25/alibaba-launches-wan3-0-for-30-second-ai-video-from-documents-xcxwbn/Recorded: · Source history
indiatoday.inhttps://www.indiatoday.in/technology/story/alibaba-launches-wan3-0-ai-video-model-after-hong-kong-share-sale-2978612-2026-08-24Recorded: · Source history
m.economictimes.comhttps://m.economictimes.com/tech/technology/alibaba-launches-wan3-0-ai-video-model-after-10-billion-share-sale/amp_articleshow/133460529.cmsRecorded: · Source history
Mistral and Saudi Arabia’s HUMAIN say they will collaborate on AI infrastructure, advanced model development and deployments, including Arabic-language models, cybersecurity and voice systems.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “announce”. Announcement date: unknown. Article updated: .
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· Due; not completed
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· Upcoming; not scheduled
Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
mistral.aihttps://mistral.ai/news/mistral-x-humain/Recorded: Unknown · Article source field
mistral.aihttps://mistral.ai/news/mistral-x-humain/Recorded: · Source history
OpenAI says Kiro users can now access its GPT-5.6 model family, including Sol, Terra and Luna, for structured software-development workflows. The company says GPT-5.6 Terra completed Terminal-Bench 2.1 tasks in Kiro at roughly 82% lower cost, though the source provides no independent test results or methodology.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “available”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
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· Upcoming; not scheduled
Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
openai.comhttps://openai.com/index/gpt-5-6-in-kiroRecorded: Unknown · Article source field
openai.comhttps://openai.com/index/gpt-5-6-in-kiroRecorded: · Source history
NVIDIA says its BlueField-4 DPU, DOCA software and Spectrum-X Ethernet can create a dedicated infrastructure layer for securing, provisioning and connecting agentic AI systems to data and storage.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “introduces”. Announcement date: unknown. Article updated: .
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· Due; not completed
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· Upcoming; not scheduled
Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
developer.nvidia.comhttps://developer.nvidia.com/blog/nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories/Recorded: Unknown · Article source field
developer.nvidia.comhttps://developer.nvidia.com/blog/nvidia-bluefield-4-powers-new-scale-in-network-infrastructure-for-agentic-ai-factories/Recorded: · Source history
NVIDIA says NVLink Fusion will let hyperscalers and AI companies connect custom XPUs to its networking, rack, cooling, power and software infrastructure, potentially reducing the complexity and time required to deploy semi-custom AI systems.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “introduces”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
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· Upcoming; not scheduled
Recorded source links (2)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
blogs.nvidia.comhttps://blogs.nvidia.com/blog/nvlink-fusion-xpu-ai-factory/Recorded: Unknown · Article source field
blogs.nvidia.comhttps://blogs.nvidia.com/blog/nvlink-fusion-xpu-ai-factory/Recorded: · Source history
Anthropic says Claude Mythos 5 is now powering vulnerability scans in Claude Security for Enterprise customers, while partner integrations are planned. It is also creating a $35 million credit fund for open-source security and expanding its cyber-verification program.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “open”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
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· Upcoming; not scheduled
Recorded source links (1)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
claude.comhttps://claude.com/blog/bringing-claude-mythos-5-to-more-defendersRecorded: Unknown · Article source field
Amazon Bedrock now offers OpenAI’s GPT-5.6 Sol, Terra, and Luna models in more than 25 AWS Regions, with geographic and global routing options that expand the available compute pool.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “adds”. Announcement date: unknown. Article updated: .
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· Due; not completed
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· Upcoming; not scheduled
Recorded source links (1)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
aws.amazon.comhttps://aws.amazon.com/blogs/machine-learning/introduce-cross-region-inference-for-openai-gpt-5-6-models-on-amazon-bedrock/Recorded: Unknown · Article source field
Google says AI Overviews and AI Mode will now highlight users’ preferred sources, while new carousels and a Highly Cited badge aim to make original reporting and firsthand perspectives easier to find.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “adds”. Announcement date: unknown. Article updated: .
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· Due; not completed
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· Upcoming; not scheduled
Recorded source links (1)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
blog.googlehttps://blog.google/products-and-platforms/products/search/original-high-quality-content-search/Recorded: Unknown · Article source field
Google says Search is adding five education features: interactive visuals, practice quizzes, Lens-based guidance, AI Mode notebooks and custom study files.
Above: AI Understanding’s article text, not a quotation from a linked source. Automatic title match: “adds”. Announcement date: unknown. Article updated: .
7-day suggested check
· Due; not completed
30-day suggested check
· Upcoming; not scheduled
Recorded source links (1)
Source types are unclassified. Links have not been opened by this tracker; source publication and access dates are unknown. A recorded date only indicates when the archive added the link.
blog.googlehttps://blog.google/products-and-platforms/products/search/back-to-school-study-tools/Recorded: Unknown · Article source field
Methodology & limits
Title must contain release wording and either product wording or have the Product category. A watchlist name must appear in the title or excerpt. Mentions are not verified product ownership. This is an automatic candidate filter, not independent verification or an importance ranking.
One canonical published article matching the watchlist and title rules; not one unique product or launch.
Suggested checks at 7 and 30 UTC calendar days after article publication (a proxy, not the announcement date). Due means the suggested date has arrived, not that a check ran. No reminders or checks are scheduled. Updated articles retain their original publication anchor.
Only articles returned by getAllNewsArticles, including its existing publication, suppression and media filters. That reader can silently fall back to bundled articles when the database is unavailable. Feed completeness cannot be established here; this is not a census of AI releases.
Data source: AI Understanding’s published article archive (database and bundled articles). The existing reader does not expose which origin supplied each record or whether fallback occurred. Linked evidence is unclassified, not automatically primary.
Download and retain the JSON snapshot: article text and evidence links may change with editorial updates. generatedAt is dataset assembly time, not a source access or verification time. Filters affect records, not the full-watchlist summary. Records sort newest first, undated last, then by canonical URL.
Keyword selection can include rumors, commentary, comparisons and non-launch announcements, and can miss releases using other wording or names.
Several articles can concern one release; one article can concern several products. Mentioned organizations can be competitors rather than the releasing organization.
Region, account tier, waitlist, rollout stage, price and actual access remain unknown. This tracker does not measure model quality or run workflow tests.
What would count as confirmed? A separately documented human access check with time, region, account tier, product version, steps and evidence of a successful representative action. It would confirm only those conditions. This version records none; source claims, including first-party announcements, never become confirmation automatically.
The JSON contains the selection patterns, full watchlist, matched wording, dates, source provenance, unchecked status and suggested follow-ups. Missing dates remain null. Report a mismatch or missing source.
Protocol only · No results yet
Can three tools turn a source packet into usable nonprofit work?
Our first repeatable test design compares 3 tools × 10 tasks × 3 repetitions = 90 planned runs. It covers factual extraction, briefings, arithmetic, outreach, planning, privacy and uncertainty using the same synthetic source packet.
Before running: select three accessible tools, freeze their versions and settings, publish the task packet and answer key, verify current prices, and approve a total cash and human-time cap.
Run each task in a fresh session three times with identical inputs and rotated tool order. Preserve failures, refusals, outputs, time and cost. Stop at the approved cap.
A human scores correctness, completeness, instruction compliance and usability from 0–2 each. A pass needs at least 7/8, full correctness and compliance, and no critical error. A second reviewer checks every proposed pass and critical error.
Publish all denominators, disagreements, missing runs and limitations. Do not report results until runs and human review exist. Three repetitions cannot establish broad model superiority.
The full execution protocol, ten tasks, shared fixture, answer key, scoring and budget preflight live in the repository document docs/AIU-ORIGINAL-TEST-PROTOCOL.md. Tool selection, funding and execution are still pending.