iFeeling Daily
Daily curated AI insights you can't miss.
Turla’s STOCKSTAY Backdoor: A New .NET Spy Tool Targeting Ukraine and Europe
Google Threat Intelligence Group's deep analysis of Turla's STOCKSTAY backdoor reveals a multi-component .NET implant that's been actively developed since 2022, targeting Ukrainian military and European diplomatic entities. The report includes code overlaps with the KAZUAR toolkit, YARA rules, and detailed operational timelines that are invaluable for threat hunters tracking Russian cyber espionage.
How GPT-5 solved an immunologist’s 3-year T cell mystery
Immunologist Derya Unutmaz used GPT-5 Pro to solve a three-year-old puzzle about glucose and T cells, discovering that the model identified a mechanism—IL-2 protein disruption—that his lab had missed. It then correctly predicted results from an unpublished experiment, convincing him these models truly understand biology.
Metric-Dependent Annotation Saturation for Learning from Label Distributions
This paper shows that the number of annotators needed to capture disagreement signal depends on whether you care about ranking items by ambiguity (needs ~20–50) or matching the aggregate label distribution (saturates by ~10). A concrete argument for metric-aware annotation budgets, with clean experiments on NLI using 100 annotators per item from ChaosNLI.
How Omio is building the future of conversational travel with OpenAI
Omio's CTO explains how the travel platform moved from search to conversational interfaces by connecting OpenAI models directly to live transportation data across 3,000+ providers in 47 countries. Internally, Codex has cut development time to roughly 20% of previous levels, with single engineers now completing quarter-long projects in about a month.
Daybreak: Tools for Securing Every Organization in the World
OpenAI's Daybreak initiative tackles the new cybersecurity bottleneck of patching at scale, with Codex Security automating fixes across 30,000 codebases, GPT-5.5-Cyber setting state-of-the-art CyberGym scores, and Patch the Planet pairing expert researchers with open-source maintainers to land fixes faster.
How OpenAI is improving health intelligence in ChatGPT
OpenAI's latest blog post reveals how GPT‑5.5 Instant achieves near-frontier health reasoning by pairing model advances with a systematic physician review process, cutting factuality issues by 71% in production while keeping the capability free for all users.
LifeSciBench: A Realistic Benchmark for AI in Life Science Research
Current life science benchmarks fail to capture the messy, iterative reality of real research work. They tend to ask clean fact-recall or prediction questions with neat reference answers, but practicing scientists spend their time interpreting incomplete evidence, reconciling conflicting results, designing difficult experiments, and making decisions under uncertainty. **LifeSciBench** was built to close this gap by measuring whether AI systems can actually support the workflows that matter in applied biotech and pharmaceutical research, not just answer biology trivia. It was designed by 173 PhD-level scientists with direct drug-discovery experience, and every task reflects a realistic request a scientist might make to a knowledgeable collaborator.
Databricks Widens the Lead on the Token Path to Revenue Growth
Databricks hit $6.9b ARR growing 80% YoY while Snowflake lags at 34%, and the article makes a sharp case that this isn't accidental — it's the token-path model at work. AI products alone contribute $1.7b ARR, and the same pattern drove Salesforce's $3.6b Fin acquisition. Worth reading if you care about why some AI companies grow explosively even at massive scale.
Near-autonomous AI improves challenging Chan-Lam coupling for sulfonamides
OpenAI and Molecule.one connected GPT-5.4 to an autonomous chemistry lab to improve Chan–Lam coupling of primary sulfonamides. Across 10,080 reactions, the system identified TEMPO as an effective additive, raising yields significantly. Human chemists validated results at bench scale, confirming the AI-driven finding holds in practical workflows.