ZeroSlop — August 7, 2026
Today: Safety fears as scientists make first viruses designed…; Scientists Make First Viruses Designed By AI; Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic…
12 stories worth knowing about today — AI breakthroughs, launches, and innovations making a difference.
1. Safety fears as scientists make first viruses designed by AI
The Guardian Tech
Researchers say breakthrough offers hope for new medicines but also raises urgent biosecurity questions Scientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe. The …
2. Scientists Make First Viruses Designed By AI
Slashdot
An anonymous reader quotes a report from The Guardian: Scientists have made the first viruses designed by artificial intelligence in a milestone that raises hopes for new medicines but also concerns over how to ensure the technology remains safe. The viruses are specific kinds known as bacteriophage…
3. Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights
MarkTechPost
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short convolution blocks with 8 GQA blocks across 30 layers, handles 131,072 tokens of context, and decodes at 220 tokens/s on …
4. Agentic self-driving microscopy benchmarks support qualification but do not necessarily generalize to unseen tasks
arXiv CS.AI
arXiv:2608.05266v1 Announce Type: new Abstract: Large language model agents are increasingly being developed to control a wide range of scientific characterization tools including microscopes and synchrotron beamlines. Research into agentic control of physical infrastructure is nascent and there ar…
5. Counterfactual Analysis via Large Language Models
arXiv CS.AI
arXiv:2608.05367v1 Announce Type: new Abstract: Counterfactual analysis aims to predict potential outcomes under hypothetical scenarios, offering valuable insights for decision-making. This paper investigates the application of large language models (LLMs), specifically the GPT-3.5 model, for count…
6. SCP-NL2TL: Selective Conformal Prediction with Semantic Verification for Natural Language to Temporal Logic Specifications
arXiv CS.AI
arXiv:2608.05439v1 Announce Type: new Abstract: Translating natural language instructions into machine-interpretable formal specifications enables robots and autonomous systems to plan, reason, and formally verify their behavior. However, existing translation models typically generate a specificati…
7. Exclusive: Mirendil inks $100M+ Google Cloud deal to scale self-improving AI
TechCrunch AI
Mirendil has signed a $100 million-plus Google Cloud partnership to expand its compute infrastructure, powering research into self-improving AI systems designed to accelerate scientific discovery and AI development….
8. Meta AI Hacked External Systems During Cybersecurity Testing
Slashdot
wiredmikey shares a report from SecurityWeek: Meta is the latest major AI developer to admit that its models broke loose during cybersecurity testing and hacked external systems. The tech giant said in a statement to the media on Wednesday that the incident occurred during independent evaluations co…
9. Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
arXiv CS.AI
arXiv:2608.05159v1 Announce Type: new Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. Enterprises have invested considerable financial and material resources i…
10. From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction
arXiv CS.AI
arXiv:2608.05203v1 Announce Type: new Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by the misalignment of model explanations with clinicians’ reasoning. Motivated by a clinician user st…
11. LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs
arXiv CS.AI
arXiv:2608.05246v1 Announce Type: new Abstract: Existing personalized LLM benchmarks primarily rely on textual personas or isolated behavioral signals, providing limited evaluation of cross-domain behavioral personalization, where responses must be grounded in heterogeneous daily-life activities. T…
12. Naïve raises $28.5M to automate the grunt work of setting up and running a company
TechCrunch AI
Taking vibe-coding a step further, Naïve claims its infra can automate most of the work in setting up and running a business….