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Independent aggregation • v2.4.5 • 2026-07-16
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CISCO FOUNDATION AI RELEASES ANTARES: 350M AND 1B OPEN-WEIGHT MODELS THAT LOCALIZE KNOWN VULNERABILITIES INSIDE REAL CODEBASES
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WHAT HAPPENED
WHAT MULTIPLE SOURCES SAY
SOURCE CHECKPrimary report: MarkTechPostAvailable coverage: 1 distinct source and 1 closely matched item in the current DAMMNEWS cache.Coverage volume is not independent verification. Compare the linked original reports and any primary material. ATTRIBUTED DETAILS FROM AVAILABLE COVERAGE: Similar coverage is shown by source. DAMMNEWS does not merge it into one asserted account.
- MarkTechPost: Cisco Foundation AI has released Antares, a family of small language models trained to pinpoint where known vulnerabilities live inside a codebase.
- MarkTechPost: Antares-1B reaches 0.209 File F1 on the new Vulnerability Localization Benchmark, above GLM-5.2 at 753B parameters and Gemini 3 Pro.
- MarkTechPost: The untrained Granite 4.0 checkpoints score near zero under the same protocol, so post-training supplies almost all of the capability.
- MarkTechPost: A full 500-task sweep runs in roughly 13 minutes on a single H100 for under a dollar, against $141 for GPT-5.5.
- MarkTechPost: The post Cisco Foundation AI Releases Antares: 350M and 1B Open-Weight Models That Localize Known Vulnerabilities Inside Real Codebases appeared first on MarkTechPost.
WHAT IS STILL UNCLEAR
- This page is based on the available source material at the time of the feed refresh and may change as reporting develops.
- Details found in only one source, anonymous-source claims and statements without a linked primary document should be treated as unconfirmed until checked further.
- The original reports below remain essential for full context, corrections and updates.
WHY IT MATTERS
- Context guide — TECHNOLOGY: Technology stories often mix a product announcement with claims about availability, performance or impact. Those parts should be checked separately.
- The available evidence currently comes from 1 distinct source; that is a coverage measure, not a guarantee that every detail is confirmed.
- For the clearest picture, compare the attributed excerpts below with the original article and any primary document it links to.
WHAT TO WATCH NEXT
- What has actually launched or changed, rather than what is planned
- Availability, pricing, testing, privacy and safety details
- Independent technical results or regulator and customer responses
ORIGINAL SOURCE LINKS
STORY TIMELINE — AVAILABLE COVERAGE
A chronology using only the publication times and headlines currently in the cache.
- 22/07/2026, 01:01 RELATED COVERAGE POOLSIDE RELEASES LAGUNA S 2.1, AN OPEN-WEIGHT AGENTIC CODING MODEL PUNCHING ABOVE ITS WEIGHT CLASS ON SWE-BENCH MULTILINGUAL (MarkTechPost • 9 hrs ago) [Story Intel]
- 22/07/2026, 07:27 PRIMARY FEED CISCO FOUNDATION AI RELEASES ANTARES: 350M AND 1B OPEN-WEIGHT MODELS THAT LOCALIZE KNOWN VULNERABILITIES INSIDE REAL CODEBASES (MarkTechPost • 2 hrs ago) [Story Intel]
RELATED DAMMNEWS COVERAGE
Built locally from the available RSS excerpts for this story and closely related DAMMNEWS coverage. Statements are attributed to their feed source; no paid AI API was used. Short excerpts can omit important context, so the original source remains essential.
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