AI Conquered Coding. Quick Meals Is Subsequent

AI Conquered Coding. Quick Meals Is Subsequent

“The eating places ended up spending extra time smoothing over the issue they created,” says Michael Schatzberg, cofounder of Branded Hospitality, which invests in food-service-technology corporations. “Everybody was like, ‘That is the worst.
Cease. Get the individuals again with the headsets.’” Branded Hospitality offered off its early AI-drive-thru investments. In 2024, Del Taco rolled back its…

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A Marc Benioff-backed startup thinks AI can clear up the AI deployment drawback

A Marc Benioff-backed startup thinks AI can clear up the AI deployment drawback

It’s so arduous for giant companies to get AI instruments working reliably that entire new organizations of forward-deployed engineers or FDEs— specialists who drop into an organization to get its AI techniques up and working — are springing as much as assist them. “AI, paradoxically, will increase the demand for skilled companies,” says Efrat Rapoport,…

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Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date

Alibaba’s Qwen team has made Qwen3.8-Max broadly available and confirmed that its open weights ship next week. A second checkpoint, Qwen3.8-27B, is also going open-weights. Qwen3.8-Max is a 2.4-trillion-parameter mixture-of-experts model. It accepts text, image and video as input and returns text. Is it deployable Yes, but the deployable surface depends on which artifact you…

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Cogent AI Team Releases VR-1: A Frontier Cyber Reasoning Model That Composes and Verifies Enterprise Attack Paths

Cogent AI team released Cogent VR-1, a reasoning model post-trained specifically for cybersecurity rather than picking up cyber capability as a side effect of general coding strength. It ships with two companions: IntrusionBench, a benchmark that scores agents on completed enterprise intrusions, and the Cogent AI Harness, a governed runtime for security agents. The launch…

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Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines

Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1%…

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Thinking Machines Lab Releases Inkling-Small: A 276B Total, 12B Active Open Weights Multimodal MoE Model

Thinking Machines Lab has released Inkling-Small, an open weights Mixture-of-Experts model with 276B total parameters and 12B active. That is about a quarter the size of Inkling, which carries 975B total and 41B active parameters. The model was trained on NVIDIA GB300 NVL72 systems. It reasons natively over text, images and audio. The context window…

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A Tutorial on GeoAI: Designing Footprint Extraction from NAIP Imagery Using U-Net, Grounding DINO, SAM, and Mask R-CNN

In this tutorial, we design a complete GeoAI workflow for extracting building footprints from high-resolution NAIP aerial imagery. We begin by configuring the geospatial deep learning environment, downloading raster imagery and vector labels, and inspecting their spatial properties before generating georeferenced image chips and segmentation masks. We then train a U-Net model with a ResNet-34…

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Sam Altman and AI’s decel debate

OpenAI CEO Sam Altman recently said that it may be time to “pace the rate of AI development” so that society can “harden around some of these new capability levels.” On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed how Altman’s comments were probably prompted by a recent hack…

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