‘A joint team from Anthropic and Thinking Machines Lab generated 300k+ value tradeoff scenarios to stress-test model specs, finding that high cross-model disagreement flags spec contradictions, coverage gaps and provider-level value differences.’
‘A practical tutorial showing how to build a local AI agent that thinks, plans, and controls a simulated desktop with step-by-step Python code and examples.’
‘A concise breakdown of how Google, OpenAI, and Anthropic are building agentic AI stacks, plus benchmarks and deployment guidance for technical teams.’
‘Hands-on one-month review of AIAllure: what the free tier gives, what Pro unlocks, and whether the $14.95 upgrade is worth it.’
‘AIAllure lets users create uncensored NSFW images and videos and build custom AI companions. The free plan is limited, while Pro unlocks full video generation and faster processing.’
‘A 30-day hands-on test of AIAllure’s Girlfriend Chat, examining customization options, NSFW features, and whether the PRO plan is worth it.’
‘Liquid AI launched LFM2-VL-3B, a 3B parameter vision language model built for edge deployments with efficient token compression, native aspect ratio support, and documented inference controls for predictable latency’
Explore how to build local multi-endpoint ML APIs with LitServe, showcasing batching, streaming, caching and multi-task inference with Hugging Face pipelines.
‘Conversational AI is shifting search from lists of links to concise recommendations, forcing brands to earn visibility through trust, relevance, and engagement.’
AI copywriters are transforming marketing by producing scalable, personalized content, but the real advantage comes from human and machine collaboration.
‘WALT converts latent website functionality into deterministic callable tools for LLM agents, boosting success rates on VisualWebArena and WebArena while cutting action counts.’
‘FLAME adds a tiny, trainable refiner on top of an open-vocabulary detector to select the most informative samples and reach 53.96% AP on DOTA and 53.21% AP on DIOR with 30 labels and minute-scale CPU adaptation.’
‘UltraCUA introduces a hybrid action model that lets agents mix GUI primitives with programmatic tool calls, improving success and reducing steps across desktop automation benchmarks.’
‘Step-by-step example showing how Directory, Seller, and Buyer agents use uAgents to discover services, negotiate offers, and complete orders.’
Surveyed executives say data engineers are increasingly pivotal to AI initiatives, spending far more time on AI projects and coping with rising complexity and workloads
‘Indian startups deploy AI to screen and fight deepfake spam calls, balancing convenience with privacy and trust concerns.’
‘Snapchat’s Imagine Lens converts typed prompts into AI images for Snapchat+ users in the US, combining AR effects with instant sharing.’
‘After a month using Xmode.ai I found it powerful for uncensored, customizable NSFW image generation with privacy features and a pay as you go credits model.’
‘I tested Xmode.ai’s Clone Generator and share practical notes on features, privacy, community feedback, and why creators may want to try it.’
‘xMode.ai delivers an invite-only, uncensored AI video experience with fast V2 output and raw, imperfect results that appeal to experimental creators.’
‘Odyssey is Anthrogen’s multimodal protein model family that swaps global attention for Consensus propagation and trains via discrete diffusion to jointly model sequence and 3D structure, scaling to 102B parameters.’
‘PokeeResearch-7B is an open 7B deep-research agent fine-tuned with RLAIF using the RLOO estimator, running multi-thread research and verification loops to improve factuality and citation faithfulness. It achieves state-of-the-art mean@4 accuracy among 7B agents on a 10-dataset suite and is released under Apache-2.0 with code and weights.’
‘Hands-on tutorial showing how to build a Colab-based enterprise AI assistant using open-source models and FAISS for retrieval, including PII redaction and policy enforcement.’
‘VISTA is a multi-agent test-time loop that iteratively refines prompts and selects better videos, improving visual, audio, and contextual alignment and earning strong automatic and human preference gains.’
