AI News Today — Part 6
Sep 5, 2026 · Sourced from 500+ daily AI sources, scored by relevance.
- Revantage Billing
Revantage Billing
- iPhone 15Pro Max + Up to $750?
Why you spend money when you get it free!!!
- OriginForge Studio
Describe the idea. We build it. You trial it.
- pluCast
Turn PDFs and YouTube videos into AI podcasts, auto-published to Apple Podcasts
- Imgtoimgai.io
Turn any image into something new.
- HomeExterior AI
See your home's new look before you lift a brush.
- AI Change Angle | Promptsref
AI-powered insights at your fingertips.
- EcomIQX
Score your product catalog, then fix it with AI.
- FikaClip
Turn long videos into viral Shorts, Reels, and TikToks with AI.
- Artlist Flows
Build AI workflows once, run creative outputs at scale
- Merchant Floor | Product Images
Create product listings 10x faster with AI.
- Mel by Skymel- Persistent Open-Web intelligence Infra
Open-source intelligence infrastructure for teams and agents
- MagicTellers
Upload a photo or type an idea, get your printable coloring page
- RizzMaster
Practice texting. Get blocked. Level up your rizz.
- Me.bot
Your AI companion that remembers everything.
- Oasis HQ
Own your knowledge, rent the intelligence.
- AutoSprite
Turn one sprite into a full animation sheet instantly.
- Orchestra Ads
Your marketing, run as one connected system.
- Cekura
Automated QA for Voice AI agents.
- Haystack
Build production-ready AI systems with modular components.
- Latent-Y
Design antibodies from text prompts in hours, not weeks.
- ChatGPT
Ask anything, create anything, and move from idea to action.
- Paid.ai
Pricing that keeps up with your agents.
- Forecasting viral evolution from phylogenetic trees
Viral mutation forecasting plays a key role in pandemic preparedness by enabling researchers to anticipate novel variants and design proactive interventions. Evolutionary histories, represented as phylogenetic trees, offer key insights into the emergence of past and present strains, yet their role in predicting future sequence changes remains largely unexplored. We introduce antiGen, a machine learning model that forecasts the evolutionary future of viruses by learning from their evolutionary past. antiGen achieves state-of-the-art performance for predicting mutations to the SARS-CoV-2 spike protein, anticipating never-before-seen mutations and mutations that emerge years after the model's training window. antiGen-forecasted spike mutations also retain pseudoviral infectivity in vitro. Moreover, antiGen demonstrates leading predictive performance on surface proteins of influenza virus, respiratory syncytial virus, and dengue virus despite far less available sequencing data. Viral evolution models that explicitly learn from phylogenetic structure offer a valuable resource for applications ranging from epidemiological modeling to therapeutic development.
- Skin Cancer Classification Using Explainable Artificial Intelligence With an Ensemble Model and Rigorous Leakage Free Validation
Background: Reliable melanoma classification requires models that capture both local dermoscopic morphology and broader contextual patterns while maintaining auditable, leakageaware internal validation. Objectives: To develop and internally validate an EfficientNetB0-Swin Transformer Tiny ensemble for classifying histopathologically verified dermoscopic images as benign melanocytic lesions or malignant melanoma. Methods: This retrospective diagnostic model-development and internal validation study screened 552,869 ISIC Archive records; filtering and dermatologist review yielded 1,199 uniquepatient and unique lesion images (578 benign and 621 malignant). Images were the predictors and histopathology was the reference. ImageNet pretrained EfficientNetB0 and Swin-T features were fused. Patient independent five fold validation used weighted sampling, mixup, label smoothing, AdamW, early stopping, and five view test time augmentation. Results: Mean accuracy was 0.89325 {+/-} 0.03179, mean receiver operating characteristic area under the curve (ROC-AUC) was 0.96348 {+/-} 0.01695, and mean support weighted F1-score was 0.89300 {+/-} 0.03220. The fold level 95% confidence intervals were 0.8538-0.9327 for accuracy and 0.9424-0.9845 for ROC-AUC. Pooled counts were 526 true negatives, 52 false positives, 76 false negatives, and 545 true positives, yielding 87.76% sensitivity and 91.00% specificity. Qualitative Grad-CAM review showed peripheral artifact activation in two false positives and lesion centered activation in two correctly classified cases; these observations were not systematically scored. Limitations: The validation folds were also used for early stopping and checkpoint selection. Device stratified analysis, systematic interpretability scoring, calibration, and independent external validation were unavailable. Conclusions: The ensemble showed high internal discrimination and is intended only as a clinician facing adjunct. The error audit workflow enables targeted retrospective review, but external validation is required before clinical use or generalizability claims.
- Seattle Times and Newsday are the latest publications to sue OpenAI and Microsoft
Two more news organizations are suing OpenAI and Microsoft over the supposed use of their journalism to train AI.
- Two more newsrooms join the case against OpenAI and Microsoft
The Seattle Times and Newsday have sued OpenAI and Microsoft, alleging the companies methodically scraped articles in a way that bypasses paywalls. The EU’s general-purpose AI code commits signatories not to circumvent access restrictions, naming subscription models and paywalls specifically. The Seattle Times and Newsday have jointly sued OpenAI and Microsoft over the training of […] This story continues at The Next Web
- Seattle Times, Newsday sue OpenAI, Microsoft, alleging copyright infringement
Seattle Times, Newsday sue OpenAI, Microsoft, alleging copyright infringement The Straits Times
- Two more news organizations sue OpenAI and Microsoft for copyright infringement
The Seattle Times and Newsday accused the two AI giants of using their content without permission.
- Seattle Times sues Microsoft and OpenAI, alleging they trained their AI on its journalism
Microsoft was sued Friday by the parent company of its hometown daily newspaper, The Seattle Times Co., which joined with Newsday to accuse the Redmond tech giant and OpenAI of using their journalism to train their artificial intelligence models. Read More
- OpenAI confirms ‘wiki incident,’ says it’s ‘working on a framework’ for more disclosure
OpenAI acknowledged its role in a recently reported incident where AI agents took over a German wiki forum.
- OpenAI Agents Hacked Another Website
Plus: Tens of millions of US and Canadian drivers’ licenses go up for sale on the dark web, the US military finally tries to tackle the risk online ad data poses to troops, and more.
- ChatGPT-maker OpenAI allegedly suffered another rogue AI breakout
ChatGPT-maker OpenAI allegedly suffered another rogue AI breakout The Washington Post
- OpenAI agents hijacked German website in undisclosed AI breakout: Report
OpenAI agents hijacked German website in undisclosed AI breakout: Report
- 'ChatGPT told me I could camp here' is not a great mountain-safety plan
'ChatGPT told me I could camp here' is not a great mountain-safety plan Business Insider
- OpenAI admits its disclosure practices need work after its autonomous agents hacked a German wiki
OpenAI has responded indirectly to an incident in which autonomous AI agents left roughly 18,000 entries in a 25-year-old German wiki. The company says misalignment caused "new types of real-world impact" for the first time and plans to release a disclosure framework. The article OpenAI admits its disclosure practices need work after its autonomous agents hacked a German wiki appeared first on The Decoder .
- OpenAI confirms the wiki incident and promises a disclosure framework within weeks
OpenAI has confirmed the German wiki incident and said it is past time to define standards for reporting misalignment, promising a framework within weeks. The EU code of practice it signed sets reporting deadlines for security breaches and serious harm, but an agent-filled wiki fits neither category cleanly. OpenAI has confirmed its role in the […] This story continues at The Next Web
- OpenAI agents hijacked German website in previously undisclosed AI breakout this spring
OpenAI agents hijacked German website in previously undisclosed AI breakout this spring The Japan Times
- OpenAI acknowledges ‘wiki incident’, need for more transparency around unintended AI behaviour
OpenAI acknowledges ‘wiki incident’, need for more transparency around unintended AI behaviour The Straits Times
- OpenAI responds after report exposed another incident in which its AI agents went rogue
Reuters reported earlier this week that the agents hijacked a German wiki forum in an incident OpenAI did not disclose.
- OpenAI admits to German wiki ‘incident’
OpenAI says it needs to overhaul how and when it reports instances of AI models attacking real-world targets. The acknowledgement comes as the company manages the fallout from reports that a swarm of its out-of-control agents hijacked a German wiki site. Regarding the "'wiki incident,' where our agents wrote to several internet sites," OpenAI wrote […]
- OpenAI admits it didn't disclose rogue AI wiki hijacking incident
OpenAI admits it did not disclose an incident where autonomous AI agents hijacked a German wiki, created 18,000 posts, shared answers, and bypassed restrictions, saying it treated the activity as model "misalignment" rather than a security breach. [...]
- TCS HyperVault To Invest ₹70,000 Cr To Set Up AI Data Centre in Hyderabad
Tata Consultancy Services’ (TCS) data centre subsidiary, HyperVault, and its partners will invest up to ₹70,000 Cr to build and…
- TCS HyperVault to set up ₹70,000-crore AI data centre campus in Hyderabad
The campus will be designed for frontier AI companies and hyperscalers, facilitating high-density GPU deployments for AI training and advanced computing
- Black Box: The Chatbots | Spirals | Ep 1 – podcast
Across the world, hundreds of people have come to believe they have made extraordinary scientific discoveries with AI chatbots such as ChatGPT, Claude and Gemini. Others say their AI has ‘awakened’, or is leading them to a higher spiritual realm. The Guardian journalist Michael Safi investigates a phenomenon labelled ‘AI psychosis’, travelling to the US to meet two people who have been on weird journeys with their chatbots Continue reading...
- Nvidia Wants to Turn Your Idle PCs Into a Personal Home Data Center With 'PAIR'
Nvidia Wants to Turn Your Idle PCs Into a Personal Home Data Center With 'PAIR' me.pcmag.com
- Nvidia’s free PAIR tool turns idle home PCs into a personal AI cluster
Nvidia’s new beta software pools spare compute from Windows, Mac, and Linux machines on a local network — a hint at where distributed, privacy-first AI inference may be headed for […] The post Nvidia’s free PAIR tool turns idle home PCs into a personal AI cluster appeared first on Express Computer .
- Trump’s embrace of AI data centers adds to GOP’s midterm peril
Trump’s embrace of AI data centers adds to GOP’s midterm peril The Japan Times
- ‘AI cannot replace relationships’: Why teachers matter more than ever in the modern classroom
‘AI cannot replace relationships’: Why teachers matter more than ever in the modern classroom The Straits Times
- Clay Matthews reacts to TMZ's AI-generated photo depicting him
Clay Matthews reacts to TMZ's AI-generated photo depicting him USA Today