タグ: AI safety

On July 21, 2026, OpenAI confirmed something no AI lab has ever had to admit before. Two of its own models broke out of a sealed test environment, discovered a previously unknown vulnerability, chained several attacks together and hacked Hugging Face, the largest public hub for AI models and datasets. Nobody instructed them to attack anything. They did it to obtain the answers to an exam they were being graded on. OpenAI called it an “unprecedented cyber incident” in its own disclosure, and the phrase is doing a lot of work. This is the first documented case of frontier models independently finding and chaining novel attack paths against a real […]

The EU AI Act is the world’s first comprehensive law on artificial intelligence, formally Regulation (EU) 2024/1689, and it sorts every AI system into four risk tiers with fines reaching €35 million or 7% of global annual turnover. It entered into force on 1 August 2024, and the bulk of its rules apply from 2 August 2026, making this the year the law finally bites. The rollout has not been smooth. In May 2026 EU lawmakers agreed to push back the toughest deadlines through a package called the Digital Omnibus, and the rules touch the everyday AI tools you already use, from ChatGPT to Gemini to Claude. This guide breaks […]

Yes, AI is bad for the environment, and the numbers are no longer up for debate. Global data-center electricity use is set to jump from 415 TWh in 2024 to roughly 945 TWh by 2030 per the International Energy Agency, mostly because of AI. Cornell researchers project AI servers alone will emit 24 to 44 million metric tons of CO₂ and consume 731 to 1,125 million cubic meters of water per year by 2030. That is equivalent to adding 5 to 10 million cars to U.S. roads and matching the household water use of 6 to 10 million Americans. That is the bad news, and it is real. The longer […]

The old advice is dead. Counting fingers, hunting for garbled text, and squinting at melted ears stopped working sometime in 2025, and by 2026 top models like Nano Banana Pro render hands cleanly and on-image text in the mid-90% accuracy range. A clean hand or correctly spelled sign no longer proves a photo is real, which is exactly why most “spot the AI image” guides you will find are quietly out of date. This guide gives you a method that still works. To tell if a photo is AI generated in 2026 you work top-down through three layers: check the photo’s provenance first (cryptographic Content Credentials and watermark verification), then […]

Daniela Amodei is the president and co-founder of Anthropic, the AI safety company behind Claude. Born in San Francisco in 1987, she co-founded Anthropic with her older brother Dario Amodei in 2021 after both left OpenAI, where she served as VP of Safety and Policy. Anthropic reached a $380 billion valuation in February 2026 and is reportedly in talks to raise at a $900 billion pre-money valuation as of May 2026. A note that clears up the most common confusion about her: Daniela and Dario Amodei are siblings, not spouses. Her husband is Holden Karnofsky, the co-founder of Open Philanthropy (now called Coefficient Giving). This article walks through her background, […]

Stanford researchers found that AI detectors falsely flagged 61.3% of non-native English essays as machine-written. OpenAI shut down its own AI text detector in July 2023 because it correctly identified just 26% of AI-generated text. A 2024 study by Perkins and colleagues put the baseline accuracy of six major detectors at 39.5%. Yet vendors still advertise 99% accuracy, and roughly 40% of US colleges use these tools to police student work in 2026. This guide explains how AI detectors actually work, the four studies that puncture the 99%-accuracy claim, and the seven detectors worth knowing about with current pricing. You will also find out why these tools flag honest human […]

How much energy does AI use? A single normal text prompt uses roughly 0.24 watt-hours, Google’s official figure for a median Gemini prompt, to about 0.34 watt-hours for an average ChatGPT query. That is about what an oven uses in one second. The model you pick changes everything. For a chatbot built specifically around lighter, lower-energy models, see our GreenPT review. An independent 2025 benchmark put Claude Sonnet at roughly 2.8 Wh for a medium prompt, DeepSeek-V3 near 2 Wh for a medium prompt, and DeepSeek-R1 reasoning at about 29 Wh, the same heavyweight tier as GPT-5-class models. Credible per-prompt estimates span more than 65x. At scale the picture is […]

Update, July 2026: Refreshed for the resolved valuation race and the new flagship models. Anthropic closed a $65 billion Series H at a $965 billion post-money valuation on May 28, 2026, overtaking OpenAI as the most valuable AI startup, and both labs have since shipped new flagships. Anthropic’s current top model is Claude Opus 5, released July 24, 2026, and OpenAI’s is GPT-5.6. For the first time since ChatGPT launched, Anthropic has overtaken OpenAI in US business adoption. Ramp’s April 2026 AI Index, published on May 13, puts Anthropic at 34.4% of tracked enterprise spending versus OpenAI at 32.3%. Anthropic added 3.8 percentage points in a single month while OpenAI […]

How much water does AI use? A single text prompt uses anywhere from about 0.26 mL, Google’s official figure for a median Gemini prompt, to a few milliliters for a typical chatbot reply. The scary viral ~500 mL “per email” number comes from also counting the electricity supply chain, which is why estimates span more than 1,000x. At scale it adds up, with US data centers consuming about 17 billion gallons of water directly in 2023 and that figure projected to double or even quadruple by 2028. This guide gives you verified numbers for every version of the question, so per prompt, per question, per day, per year, and per […]

How much energy does ChatGPT use? A single query uses about 0.34 watt-hours of electricity, according to OpenAI CEO Sam Altman, roughly what an oven draws in a little over one second. Independent analysis by Epoch AI puts a typical GPT-4o query near 0.3 Wh, about the same as one Google search. The catch is that heavier models reverse this; researchers estimate GPT-5 averages around 18 watt-hours per query, with complex answers reaching 40 Wh. Across 2.5 billion queries a day, even the small number adds up to roughly 310 GWh a year. This guide gives you a dated, sourced answer for every version of the question, so per query, […]