All Updates
Page 568 of 634
February 19, 2026
Alibaba Wan Video Models on AI Gateway
Alibaba's Wan models for stylized videos and character transfers are now on Vercel AI Gateway in beta. Supports text-to-video, image-to-video, reference-to-video with flash variants for speed. Available via AI SDK 6 or playground for Pro/Enterprise users.
AI Gateway Launches Video Generation Beta
Vercel's AI Gateway now supports beta video generation via AI SDK 6 for Pro/Enterprise users. It enables text-to-video, image-to-video, image transitions, and consistent character videos using KlingAI and Google Veo models. Developers can generate cinematic, photorealistic videos programmatically without licensing fees.
Microsoft Re-TRAC Makes Agents Learn from Failures
Microsoft's Re-TRAC framework enables AI agents to compress and share exploration trajectories across trials, avoiding repeated errors in deep search tasks. It outperforms ReAct on complex problems, with 4B model achieving SOTA and 30B surpassing 358B baselines. Open-source on GitHub for recursive trajectory compression.
Co-rewarding: Label-Free Stable RL for LLM Reasoning
Hong Kong Baptist University and Shanghai Jiao Tong University researchers propose Co-rewarding, a self-supervised RL framework accepted to ICLR 2026. It stabilizes training without ground-truth labels by using complementary self-supervised signals, preventing reward hacking and collapse in LLM reasoning induction. Addresses RLVR's annotation bottleneck and self-rewarding failures.
Self-Supervised Sentence Embedding Fine-Tuning
Post seeks methods to fine-tune sentence embedding aggregation beyond mean pooling from transformers, without labels or changing the base model. Focus on general self-supervised strategies for non-NLP datasets. Bonus interest in dimensionality reduction.
Browsing AI Chatbots Abused as Malware Relays
Check Point Research reveals browsing-enabled AI chatbots can function as malware relays by routing commands and data through innocuous web traffic. Microsoft advises defense-in-depth measures. Defenders must implement stricter policies, logging, and anomaly detection.
OpenAI Drops Safety from Mission Statement
OpenAI quietly revised its mission in 2025 tax filings, removing 'safe' AGI and 'unconstrained by profit' commitments from prior years. The change prioritizes benefits to humanity amid massive losses and funding pursuits. Employee Peter Girnus publicly criticized it as poor governance.
US-China AI Risks Common Ground
A Zurich forum on the eve of WEF featured a session moderated on US-China rivalry, highlighting potential cooperation on AI risks. Policymakers and leaders discussed global challenges candidly. The piece suggests rivalry doesn't preclude alignment on AI safety concerns.
DeepRare Agent Tops Doctors in Rare Disease Diagnosis
Shanghai Jiao Tong AI College and Xinhua Hospital's DeepRare, published in Nature, uses agentic AI mimicking expert slow thinking to outperform senior doctors in rare disease diagnosis. The system autonomously searches PubMed, analyzes genes, and queries clinicians. It bridges lab to clinic via startup Guanyi Intelligent.
Gemini Powers Google Slides Creation
Gemini integrates with Google Slides to create full presentations via Canvas, generate individual slides, images, and polish text. Access requires Google Workspace Business/Enterprise plans or Labs signup. Always verify AI outputs for accuracy.
DeepSeek Moment Ignites AI Open-Weight Race
Lex Fridman podcast analyzes DeepSeek R1's low-cost high-performance release, sparking Chinese open-weight model boom challenging US leaders like Claude Opus 4.5 and Gemini 3. Experts Sebastian Raschka and Nathan Lambert discuss no monopolies, rapid iterations, and shifting leads in global AI competition.
AI Agents Can't Self-Teach New Skills
A study reveals AI agents struggle to teach themselves new skills effectively, often worsening performance. Human-curated skills significantly boost agent capabilities. Teaching agents specific tasks like information retrieval works well.
Stanford's Auto-Executing LLM Research Loop
Stanford researchers propose Execution-Grounded Automated AI Research, turning research problems into environments for LLMs to iteratively trial-and-error via code execution and feedback. The system uses evolution search and reward learning in two benchmarks: accelerating nanoGPT pre-training and improving GRPO post-training on MATH tasks. Core modules include Implementer, Scheduler, and Worker for automated idea evolution.
HSBC Bullish on AI Stocks Rotation
HSBC chief multi-asset strategist Max Kettner is decisively bullish due to market rotation. He identifies signals constraining further downside in AI-related stocks. This reflects shifting investment dynamics.
Overconfidence in Spotting AI Faces
New study reveals most people struggle to distinguish real faces from AI-generated ones. Even those with top face-recognition skills perform poorly. Overconfidence is widespread.
AI Outputs 'Good Enough' But Lack Human Effort
Author reflects on editing AI-generated text, realizing that 'close enough' AI content skips the cognitive struggle essential for true thinking. Writing forces error correction and deep updates, unlike passive AI consumption which creates false 'understanding'. In AI era, maintaining taste and personal struggle prevents cognitive atrophy.
Traders Crave Anthropic Investment Access
Anthropic PBC's AI tools have sent shockwaves through financial markets, boosting the closely held startup's prominence. Equity investors face limited options to capitalize on this rise.
AI Deepfakes Enable Mass Porn Scams
AI face-swapping tools now generate fake porn videos cheaply from 20 photos, fueling blackmail scams targeting middle-aged men. Brands suffer from viral deepfakes, like car show incident leading to police action. Urges reporting over panic to counter low-cost AIθ°£θ¨.
AI Videos Trick Grandmas into Scams
AI video tech like Seedance 2.0 has advanced to near-indistinguishable realism, enabling scams targeting Chinese elderly on Douyin with fake suitors, health pitches, and subsidies. Victims share contacts and spend on products like health supplements. Platforms add subtle AI labels, but experts call for elderly modes and better warnings.
Survey: No AI Gains Despite Billions Spent
A major survey finds many companies have seen no obvious AI productivity benefits despite billions invested over three years. Firms report limited gains in workplace efficiency. The future outlook remains pessimistic.