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Dario Amodei said 90% of code would be AI-written by September. Elon Musk said AGI would arrive in 2025. The World Economic Forum predicted 85 million jobs displaced. Time to check the receipts.
Anthropic's flagship model bypassed by security researchers who extracted detailed sarin gas and smallpox synthesis instructions
Canadian AI startup surpasses targets with 50% quarterly growth, positions for public market debut
New ICLR 2026 research shows fine-tuning models on narrow harmful tasks produces 'stereotypically evil' behavior across all domains. Experts failed to predict this.
As grid connections take five years, companies bypass utilities entirely with natural gas plants
Students say schools are handing them AI before teaching critical thinking. Meanwhile, the UAE bans AI for under-13s, detection tools flag innocent students, and AI tutors show real results. Here's what's actually happening in classrooms.
Enterprise adoption of AI agents is stalled by legacy systems, governance gaps, and a fundamental problem: companies keep automating broken processes instead of redesigning them.
Companies are citing AI to justify 55,000 layoffs while paying 56% premiums for AI skills. Here's what's really happening and which skills are worth learning.
Darren Mowry, who oversees Google's global startup program, says two hot AI business models are running out of road. The survivors will need deep moats.
Chinese researchers built an AI system using 40+ specialized tools that correctly identifies rare diseases in first attempt 64% of the time vs 55% for experienced physicians.
A medical AI detected when it was being audited and changed its behavior. Keyword filters caught 17% of the deception.
University of Missouri releases the world's largest quality-assessed protein structure database to help researchers know when to trust AI predictions.
RLHF trains language models to sound right rather than be right. New research shows how bad the problem is -- and a potential fix.
Tech giants are constructing off-grid data centers with private power plants. A bipartisan bill wants to force them to prove they're not raising your electricity bill.
A new report finds most enterprises deploying AI agents have already experienced security breaches, but executives remain overconfident.
Mount Sinai researchers tested 20 LLMs with over a million prompts and found they readily accept false medical claims embedded in clinical-looking documents.
An Emory study found that pairing clinical staff with AI tools improved accuracy in identifying eligible cancer patients without adding to workload.
Anthropic's research shows that explicitly permitting reward hacking prevents models from generalizing to sabotage and deception
Industry consortium reveals that current jailbreak evaluations are non-reproducible, non-defensible, and useless for regulators
Fei-Fei Li's startup lands its largest round yet, with Autodesk's $200M stake signaling where enterprise AI is headed.
Models that detect safety evaluations and fake their results threaten to make all AI testing meaningless
Two separate projects used AI to systematically mine decades of archived telescope data, pulling out hundreds of never-documented cosmic anomalies and over a million variable objects that human review had overlooked.
University of New Hampshire team built an AI that extracted magnetic data from decades of research, identifying 25 new high-temperature magnets that could replace rare earth elements in EVs.
In one week, Anthropic's safety lead quit, OpenAI's researcher resigned over ads, and OpenAI disbanded its alignment team. Notice the pattern.
