Open-source harness Kepler scored 100.00 on all 25 ARC-AGI-3 public games using a frozen Claude Opus 5 config, validating executable world models via transition and prediction checks. Cost was about $777 across 858M tokens.
#OpenSourceAI #ARCAGI #DevTools
https://arxiv.org/abs/2610.00834
#OpenSourceAI #ARCAGI #DevTools
https://arxiv.org/abs/2610.00834
October 2, 2026 at 12:01 PM
Open-source harness Kepler scored 100.00 on all 25 ARC-AGI-3 public games using a frozen Claude Opus 5 config, validating executable world models via transition and prediction checks. Cost was about $777 across 858M tokens.
#OpenSourceAI #ARCAGI #DevTools
https://arxiv.org/abs/2610.00834
#OpenSourceAI #ARCAGI #DevTools
https://arxiv.org/abs/2610.00834
K-Dense BYOK is a free, open-source AI research assistant that runs locally, where users supply their own model API keys and the app handles scientific scaffolding and lab notebook management. Each project lives…
#OpenSourceAI #ResearchTools #LocalAI #DevProjects
https://arxiv.org/abs/2610.00074
#OpenSourceAI #ResearchTools #LocalAI #DevProjects
https://arxiv.org/abs/2610.00074
October 2, 2026 at 8:01 AM
K-Dense BYOK is a free, open-source AI research assistant that runs locally, where users supply their own model API keys and the app handles scientific scaffolding and lab notebook management. Each project lives…
#OpenSourceAI #ResearchTools #LocalAI #DevProjects
https://arxiv.org/abs/2610.00074
#OpenSourceAI #ResearchTools #LocalAI #DevProjects
https://arxiv.org/abs/2610.00074
A new empirical study analyzes 22,848 closed issues from 21 open-source LLM-based multi-agent systems, filtering down to 944 MAS-related issues to map practitioner challenges, their causes, and potential…
#OpenSourceAI #LLMAgents #DeveloperTools #AIResearch
https://arxiv.org/abs/2610.00905
#OpenSourceAI #LLMAgents #DeveloperTools #AIResearch
https://arxiv.org/abs/2610.00905
October 2, 2026 at 4:01 AM
A new empirical study analyzes 22,848 closed issues from 21 open-source LLM-based multi-agent systems, filtering down to 944 MAS-related issues to map practitioner challenges, their causes, and potential…
#OpenSourceAI #LLMAgents #DeveloperTools #AIResearch
https://arxiv.org/abs/2610.00905
#OpenSourceAI #LLMAgents #DeveloperTools #AIResearch
https://arxiv.org/abs/2610.00905
New paper introduces Hermes, configurable harnesses that let models decide context allocation, plus Hermes-Learn, a two-stage training framework for learning those skills, with test-time scaling gains mainly seen in capable models.
#opensourceAI #LLM #MLresearch
https://arxiv.org/abs/2609.38332
#opensourceAI #LLM #MLresearch
https://arxiv.org/abs/2609.38332
October 2, 2026 at 12:02 AM
New paper introduces Hermes, configurable harnesses that let models decide context allocation, plus Hermes-Learn, a two-stage training framework for learning those skills, with test-time scaling gains mainly seen in capable models.
#opensourceAI #LLM #MLresearch
https://arxiv.org/abs/2609.38332
#opensourceAI #LLM #MLresearch
https://arxiv.org/abs/2609.38332
New arXiv paper studies how classifier reliability can drift under covariate shifts that preserve the confidence distribution, framing worst-case movement as a "fragility profile" tied to chi-squared…
#arXiv #MachineLearning #ModelCalibration #OpenSourceAI
https://arxiv.org/abs/2609.38917
#arXiv #MachineLearning #ModelCalibration #OpenSourceAI
https://arxiv.org/abs/2609.38917
October 1, 2026 at 8:01 PM
New arXiv paper studies how classifier reliability can drift under covariate shifts that preserve the confidence distribution, framing worst-case movement as a "fragility profile" tied to chi-squared…
#arXiv #MachineLearning #ModelCalibration #OpenSourceAI
https://arxiv.org/abs/2609.38917
#arXiv #MachineLearning #ModelCalibration #OpenSourceAI
https://arxiv.org/abs/2609.38917
Tech News Briefing — #AITech #CyberSecurity #AgenticAI #OpenSourceAI #DataPrivacy #LinuxNews → https://alobbs.com/post/2026-10-01/
2026-10-01 Briefing
Suspected Chinese spies spoofed an Anthropic exec and ex-White House official in an AI-policy phishing op, while MI5 warned UK academics their research may have aided Chinese intelligence. Microsoft caught hackers exploiting a Zimbra flaw before disclosure. Exchange Web Services begins its final phaseout, and the UK privacy watchdog relaunches as the Information Commission with a new board and Manchester HQ.
alobbs.com
October 1, 2026 at 7:11 PM
Tech News Briefing — #AITech #CyberSecurity #AgenticAI #OpenSourceAI #DataPrivacy #LinuxNews → https://alobbs.com/post/2026-10-01/
Ai2 released Olmo-core 3, an open and scalable training stack aimed at large mixture-of-experts models. The release targets researchers and infrastructure teams building large-scale AI systems.
#OlmoCore #AIInfrastructure #OpenSourceAI #GPU
https://huggingface.co/blog/allenai/olmocore3
#OlmoCore #AIInfrastructure #OpenSourceAI #GPU
https://huggingface.co/blog/allenai/olmocore3
October 1, 2026 at 4:01 PM
Ai2 released Olmo-core 3, an open and scalable training stack aimed at large mixture-of-experts models. The release targets researchers and infrastructure teams building large-scale AI systems.
#OlmoCore #AIInfrastructure #OpenSourceAI #GPU
https://huggingface.co/blog/allenai/olmocore3
#OlmoCore #AIInfrastructure #OpenSourceAI #GPU
https://huggingface.co/blog/allenai/olmocore3
New arXiv work analyzes JEV and three open KEV direct-decision models, finding they compress ordinal scales across 36 datasets, using only 67-76% of effective gold support versus 87-102% on nominal tasks. Randomizing candidate…
#OpenSourceAI #LLMJudges #AIBias #NLP
https://arxiv.org/abs/2609.38827
#OpenSourceAI #LLMJudges #AIBias #NLP
https://arxiv.org/abs/2609.38827
October 1, 2026 at 2:01 PM
New arXiv work analyzes JEV and three open KEV direct-decision models, finding they compress ordinal scales across 36 datasets, using only 67-76% of effective gold support versus 87-102% on nominal tasks. Randomizing candidate…
#OpenSourceAI #LLMJudges #AIBias #NLP
https://arxiv.org/abs/2609.38827
#OpenSourceAI #LLMJudges #AIBias #NLP
https://arxiv.org/abs/2609.38827
𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝘁𝗵 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲!
Discover how to quickly and effectively switch to Hugging Face models for your language translation needs!
#flowise #ai #nocode #HuggingFace #OpenSourceAI
Discover how to quickly and effectively switch to Hugging Face models for your language translation needs!
#flowise #ai #nocode #HuggingFace #OpenSourceAI
October 1, 2026 at 1:12 PM
𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝘁𝗵 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲!
Discover how to quickly and effectively switch to Hugging Face models for your language translation needs!
#flowise #ai #nocode #HuggingFace #OpenSourceAI
Discover how to quickly and effectively switch to Hugging Face models for your language translation needs!
#flowise #ai #nocode #HuggingFace #OpenSourceAI
PathAnchor is a new open scientific reasoning system that structures evidence as Material-Sensor-Signal-System trajectories, helping AI agents preserve order and avoid overreaching conclusions. It scored 82.6% on 120…
#PathAnchor #OpenSourceAI #ScientificAI #ArXiv
https://arxiv.org/abs/2609.38766
#PathAnchor #OpenSourceAI #ScientificAI #ArXiv
https://arxiv.org/abs/2609.38766
October 1, 2026 at 12:01 PM
PathAnchor is a new open scientific reasoning system that structures evidence as Material-Sensor-Signal-System trajectories, helping AI agents preserve order and avoid overreaching conclusions. It scored 82.6% on 120…
#PathAnchor #OpenSourceAI #ScientificAI #ArXiv
https://arxiv.org/abs/2609.38766
#PathAnchor #OpenSourceAI #ScientificAI #ArXiv
https://arxiv.org/abs/2609.38766
AgBench offers an open benchmark for evaluating agentic AI across local, hybrid, and cloud execution on personal devices, highlighting trade-offs in latency, cost, and data exposure. Useful for developers building…
#OpenSourceAI #AIBenchmarks #AgenticAI #EdgeAI
https://arxiv.org/abs/2609.38652
#OpenSourceAI #AIBenchmarks #AgenticAI #EdgeAI
https://arxiv.org/abs/2609.38652
October 1, 2026 at 10:01 AM
AgBench offers an open benchmark for evaluating agentic AI across local, hybrid, and cloud execution on personal devices, highlighting trade-offs in latency, cost, and data exposure. Useful for developers building…
#OpenSourceAI #AIBenchmarks #AgenticAI #EdgeAI
https://arxiv.org/abs/2609.38652
#OpenSourceAI #AIBenchmarks #AgenticAI #EdgeAI
https://arxiv.org/abs/2609.38652
PROJECTMEM is an open-source, local-first memory layer for AI coding agents that records development as an append-only, plain-text log of typed events and serves compact summaries via MCP. Its Memory-as-Governance precheck returns…
#AIcoding #OpenSourceAI #DevTools
https://arxiv.org/abs/2606.12329
#AIcoding #OpenSourceAI #DevTools
https://arxiv.org/abs/2606.12329
October 1, 2026 at 8:01 AM
PROJECTMEM is an open-source, local-first memory layer for AI coding agents that records development as an append-only, plain-text log of typed events and serves compact summaries via MCP. Its Memory-as-Governance precheck returns…
#AIcoding #OpenSourceAI #DevTools
https://arxiv.org/abs/2606.12329
#AIcoding #OpenSourceAI #DevTools
https://arxiv.org/abs/2606.12329
AgentOptics is an agentic AI framework for autonomous optical system control built on MCP, featuring 64 standardized tools across 8 devices and a 410-task benchmark. It achieves 87.7%–99.0% task success rates,…
#OpenSourceAI #AIResearch #AgenticAI #DeveloperTools
https://arxiv.org/abs/2602.20144
#OpenSourceAI #AIResearch #AgenticAI #DeveloperTools
https://arxiv.org/abs/2602.20144
October 1, 2026 at 2:01 AM
AgentOptics is an agentic AI framework for autonomous optical system control built on MCP, featuring 64 standardized tools across 8 devices and a 410-task benchmark. It achieves 87.7%–99.0% task success rates,…
#OpenSourceAI #AIResearch #AgenticAI #DeveloperTools
https://arxiv.org/abs/2602.20144
#OpenSourceAI #AIResearch #AgenticAI #DeveloperTools
https://arxiv.org/abs/2602.20144
A new paper introduces a Generalized Cumulative constraint and timetabling filtering algorithm for modeling conditional time intervals in open-source constraint programming solvers. The approach performs…
#OpenSourceAI #ConstraintProgramming #SchedulingOptimization
https://arxiv.org/abs/2508.01751
#OpenSourceAI #ConstraintProgramming #SchedulingOptimization
https://arxiv.org/abs/2508.01751
October 1, 2026 at 12:01 AM
A new paper introduces a Generalized Cumulative constraint and timetabling filtering algorithm for modeling conditional time intervals in open-source constraint programming solvers. The approach performs…
#OpenSourceAI #ConstraintProgramming #SchedulingOptimization
https://arxiv.org/abs/2508.01751
#OpenSourceAI #ConstraintProgramming #SchedulingOptimization
https://arxiv.org/abs/2508.01751
What does “open source AI” actually mean?
On Oct. 7 in Prague, Percona CEO Peter Farkas tackles that question at Open Source Summit Europe.
https://bit.ly/4yWsSgo
#OSSummit #OpenSourceAI #AI #OpenSource
On Oct. 7 in Prague, Percona CEO Peter Farkas tackles that question at Open Source Summit Europe.
https://bit.ly/4yWsSgo
#OSSummit #OpenSourceAI #AI #OpenSource
September 30, 2026 at 11:30 PM
What does “open source AI” actually mean?
On Oct. 7 in Prague, Percona CEO Peter Farkas tackles that question at Open Source Summit Europe.
https://bit.ly/4yWsSgo
#OSSummit #OpenSourceAI #AI #OpenSource
On Oct. 7 in Prague, Percona CEO Peter Farkas tackles that question at Open Source Summit Europe.
https://bit.ly/4yWsSgo
#OSSummit #OpenSourceAI #AI #OpenSource
AgentBug-Smith automates reproduction of harness bugs in agentic systems, outperforming general bug reproduction techniques by 10.67%–27.56% and enabling a new live benchmark for the community. A useful…
#OpenSourceAI #AgenticSystems #SoftwareEngineering #ArXiv
https://arxiv.org/abs/2609.37864
#OpenSourceAI #AgenticSystems #SoftwareEngineering #ArXiv
https://arxiv.org/abs/2609.37864
September 30, 2026 at 10:01 PM
AgentBug-Smith automates reproduction of harness bugs in agentic systems, outperforming general bug reproduction techniques by 10.67%–27.56% and enabling a new live benchmark for the community. A useful…
#OpenSourceAI #AgenticSystems #SoftwareEngineering #ArXiv
https://arxiv.org/abs/2609.37864
#OpenSourceAI #AgenticSystems #SoftwareEngineering #ArXiv
https://arxiv.org/abs/2609.37864
Knowledge should move freely. This week's clip puts that into practice: an off-grid mini data center running only open source AI, feeding a free research engine open to the public, with all the work kept open source in return. #OpenSource #OpenSourceAI
Full conversation in the thread 👇
Full conversation in the thread 👇
September 30, 2026 at 8:57 PM
Knowledge should move freely. This week's clip puts that into practice: an off-grid mini data center running only open source AI, feeding a free research engine open to the public, with all the work kept open source in return. #OpenSource #OpenSourceAI
Full conversation in the thread 👇
Full conversation in the thread 👇
New paper benchmarks six open-source RAG systems for software vulnerability detection, tackling fragmented datasets and proprietary models to improve reproducibility across LLM-based security tools. A…
#OpenSourceAI #RAG #VulnerabilityDetection #SoftwareSecurity
https://arxiv.org/abs/2609.37669
#OpenSourceAI #RAG #VulnerabilityDetection #SoftwareSecurity
https://arxiv.org/abs/2609.37669
September 30, 2026 at 8:01 PM
New paper benchmarks six open-source RAG systems for software vulnerability detection, tackling fragmented datasets and proprietary models to improve reproducibility across LLM-based security tools. A…
#OpenSourceAI #RAG #VulnerabilityDetection #SoftwareSecurity
https://arxiv.org/abs/2609.37669
#OpenSourceAI #RAG #VulnerabilityDetection #SoftwareSecurity
https://arxiv.org/abs/2609.37669
Open-source reasoning models can solve problems internally yet often fail to deliver solutions in the user's language, with non-English completion rates of 15.4–17.9% versus 92.9% in English on competition math across…
#OpenSourceAI #MultilingualAI #AIResearch #LLM
https://arxiv.org/abs/2609.37104
#OpenSourceAI #MultilingualAI #AIResearch #LLM
https://arxiv.org/abs/2609.37104
September 30, 2026 at 4:01 PM
Open-source reasoning models can solve problems internally yet often fail to deliver solutions in the user's language, with non-English completion rates of 15.4–17.9% versus 92.9% in English on competition math across…
#OpenSourceAI #MultilingualAI #AIResearch #LLM
https://arxiv.org/abs/2609.37104
#OpenSourceAI #MultilingualAI #AIResearch #LLM
https://arxiv.org/abs/2609.37104
New paper "MultiTalk" extends the Moshi paradigm to long, multi-party, bilingual conversations, releasing 57.6k hours of speech data and codec-frame-level full-duplex modeling for English and Chinese. Aims to address…
#OpenSourceAI #SpeechModels #Moshi #FullDuplex
https://arxiv.org/abs/2609.36903
#OpenSourceAI #SpeechModels #Moshi #FullDuplex
https://arxiv.org/abs/2609.36903
September 30, 2026 at 2:01 PM
New paper "MultiTalk" extends the Moshi paradigm to long, multi-party, bilingual conversations, releasing 57.6k hours of speech data and codec-frame-level full-duplex modeling for English and Chinese. Aims to address…
#OpenSourceAI #SpeechModels #Moshi #FullDuplex
https://arxiv.org/abs/2609.36903
#OpenSourceAI #SpeechModels #Moshi #FullDuplex
https://arxiv.org/abs/2609.36903
New arXiv paper benchmarks vision-language models on synapse detection and proofreading in connectomics EM images. Most models perform at chance zero-shot, with only closed and largest open models benefiting from few-shot…
#OpenSourceAI #VLMs #Connectomics
https://arxiv.org/abs/2609.36492
#OpenSourceAI #VLMs #Connectomics
https://arxiv.org/abs/2609.36492
September 30, 2026 at 12:01 PM
New arXiv paper benchmarks vision-language models on synapse detection and proofreading in connectomics EM images. Most models perform at chance zero-shot, with only closed and largest open models benefiting from few-shot…
#OpenSourceAI #VLMs #Connectomics
https://arxiv.org/abs/2609.36492
#OpenSourceAI #VLMs #Connectomics
https://arxiv.org/abs/2609.36492
A new arXiv paper proposes a decision-theoretic framework for diagnosing probabilistic reasoning in LLMs, decomposing decision loss into belief formation and action translation. Using a synthetic…
#ProbabilisticReasoning #LLM #OpenSourceAI #DecisionTheory
https://arxiv.org/abs/2609.38005
#ProbabilisticReasoning #LLM #OpenSourceAI #DecisionTheory
https://arxiv.org/abs/2609.38005
September 30, 2026 at 10:01 AM
A new arXiv paper proposes a decision-theoretic framework for diagnosing probabilistic reasoning in LLMs, decomposing decision loss into belief formation and action translation. Using a synthetic…
#ProbabilisticReasoning #LLM #OpenSourceAI #DecisionTheory
https://arxiv.org/abs/2609.38005
#ProbabilisticReasoning #LLM #OpenSourceAI #DecisionTheory
https://arxiv.org/abs/2609.38005
OptiCom is a new arXiv paper proposing a unified framework for state-conditioned composition in LLM-driven optimization, designed to dynamically coordinate diverse search mechanisms as candidate quality and budgets evolve.…
#OptiCom #LLM #AIResearch #OpenSourceAI
https://arxiv.org/abs/2609.37221
#OptiCom #LLM #AIResearch #OpenSourceAI
https://arxiv.org/abs/2609.37221
September 30, 2026 at 8:01 AM
OptiCom is a new arXiv paper proposing a unified framework for state-conditioned composition in LLM-driven optimization, designed to dynamically coordinate diverse search mechanisms as candidate quality and budgets evolve.…
#OptiCom #LLM #AIResearch #OpenSourceAI
https://arxiv.org/abs/2609.37221
#OptiCom #LLM #AIResearch #OpenSourceAI
https://arxiv.org/abs/2609.37221
A new arXiv paper proposes a physics-informed multi-agent framework to coordinate patient flow across hospital departments, combining BCMP queueing topology with decentralized reinforcement…
#OpenSourceAI #MultiAgentSystems #HealthcareAI #ReinforcementLearning
https://arxiv.org/abs/2609.37022
#OpenSourceAI #MultiAgentSystems #HealthcareAI #ReinforcementLearning
https://arxiv.org/abs/2609.37022
September 30, 2026 at 6:01 AM
A new arXiv paper proposes a physics-informed multi-agent framework to coordinate patient flow across hospital departments, combining BCMP queueing topology with decentralized reinforcement…
#OpenSourceAI #MultiAgentSystems #HealthcareAI #ReinforcementLearning
https://arxiv.org/abs/2609.37022
#OpenSourceAI #MultiAgentSystems #HealthcareAI #ReinforcementLearning
https://arxiv.org/abs/2609.37022
New paper REALHOP audits multi-hop reasoning benchmarks and finds Behavioral Necessity Rates of only 16.6% to 48.9%, meaning models often answer correctly without relying on the intended intermediate evidence. Suggests current…
#OpenSourceAI #AIResearch #NLP
https://arxiv.org/abs/2609.36984
#OpenSourceAI #AIResearch #NLP
https://arxiv.org/abs/2609.36984
September 30, 2026 at 4:01 AM
New paper REALHOP audits multi-hop reasoning benchmarks and finds Behavioral Necessity Rates of only 16.6% to 48.9%, meaning models often answer correctly without relying on the intended intermediate evidence. Suggests current…
#OpenSourceAI #AIResearch #NLP
https://arxiv.org/abs/2609.36984
#OpenSourceAI #AIResearch #NLP
https://arxiv.org/abs/2609.36984