Artificial intelligence

Artificial intelligence

A musician may begin learning a new piece and find themselves lost in the weeds, fumbling while thinking about fingering options, phrasing decisions, and micro-adjustments to dynamics. A golfer may end up actually lost in the weeds after needlessly obsessing over specialized techniques, swing plane, and ball flights. And the manager rolling out a new AI workflow? Their simple automation idea can devolve into scattershot attempts at broad goals, governance concerns, and vague existential questions about productivity.

The loudest voices in AI often fall into two camps: those who praise the technology as world-changing, and those who urge restraint-or even containment-before it becomes a runaway threat. Stuart Russell, a pioneering AI researcher at the University of California, Berkeley, firmly belongs to the latter group. One of his chief concerns is that governments and regulators are struggling to keep pace with the technology's rapid rollout,

AI assistants are the fastest-growing distribution channel, with AI search visitors expected to surpass traditional search by 2028, according to a Semrush study. As of February, nearly two-thirds of websites receive AI traffic, according to an Ahrefs study. Those trends are accelerating, as tech companies add AI assistants to just about everything, including mobile apps, web browsers and operating systems, and brands like Expedia, Spotify and Zillow begin building apps inside of ChatGPT.

Security leaders are under pressure to move quickly. Vendors are racing to embed generative and agentic AI into their platforms, often promoting automation as a solution to skills shortages, alert fatigue, and response latency. In principle, these benefits are real, but many AI-backed tools are being deployed faster than the controls needed to govern them safely. Once AI is embedded in security platforms, oversight becomes harder to enforce.

Dropbox engineers have detailed how the organization was able to build the context engine behind Dropbox Dash, demonstrating a shift towards index-based retrieval, knowledge graph-derived context, and continuous evaluation to support enterprise AI knowledge retrieval at scale. The design points to a broader pattern emerging across enterprise assistants, whereby teams are deliberately constraining their live tool usage and instead relying more heavily on pre-processed, permission-aware context to speed latency, improve quality and ease token pressure.

The broadcast, watched by nearly 600 million Chinese as they devour jiaozi (traditional Chinese dumplings) with their families, became a display of cuttingedge innovation at a time of growing technological rivalry with the United States. There was a bit of everything: from a comic sketch featuring hyperrealistic humanoid robots chatting with an elderly woman, meant to highlight the potential of artificial intelligence, to a kungfu performance that raises questions about what future warfare might look like.

Google has given Gemini the ability to spit out AI-generated music, courtesy of DeepMind's latest audio model. Beta access to Lyria 3 is rolling out in the Gemini app, enabling users to generate 30-second tracks based on text, images, and videos, without having to leave the chatbot window. The new music-making tool is available globally starting today in English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese, with plans to expand in the future.

While automation and AI solutions differ technically in many ways, the core distinction comes down to determinism versus probability. Deterministic systems behave the same every time A deterministic system produces the same output every time for a given input: Input → fixed logic → output No interpretation No ambiguity If two people run the same input through the system, they get the same result

Fei-Fei Li's World Labs has secured a $200 million investment from software design giant Autodesk. The partnership will see the two companies collaborating to explore how World Labs' models - AI systems that can generate and reason about immersive 3D environments - can work alongside Autodesk's tools, and vice versa, starting with a focus on entertainment use cases.

A private Indian university was booted from a top artificial intelligence summit in New Delhi on Wednesday after one of its staffers displayed a commercially available robotic dog made in China, claiming it was the university's own innovation. According to two government officials, Galgotias University was ordered to take down its stand at the summit a day after the university's professor of communications, Neha Singh, told state-run broadcaster DD News that robotic dog Orion was developed by the Centre of Excellence at the university.

The tweaks to Sonnet 4.6 have taken it past the pricier Opus 4.6 in two of 13 benchmark categories: agentic financial analysis (Finance Agent v1.1, 63.3 percent vs. 60.1 percent) and office tasks (GDPVal-AA Elo, 1633 vs. 1606). Opus 4.6 wins in six of the 13 categories, in tests that show rival Gemini 3 Pro and GPT-5.2 each leading in 2 of 13 categories. But benchmark tests should not be taken too seriously.

A California-based tech company is pitching exactly that by building AI avatars of every Major League Baseball star. The AI firm Genies recently signed an intellectual property deal with MLB Players Inc. the business arm of the Major League Baseball Players Association to create a cartoon-like "companion" version of every player on the league's roster. Once the product officially launches, baseball fans will supposedly be able to hold a conversation with the avatars on the Genies website,

An Indian university is facing backlash after one of its professors was caught falsely presenting a Chinese-made robot dog at a major artificial intelligence summit, it has reportedly since been asked to leave, as the institution's own. You need to meet Orion. This has been developed by the Centre of Excellence at Galgotias University, Neha Singh, a professor of communications, told Indian state-run broadcaster DD News this week.

NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) CEO Jensen Huang runs the world's largest company and his placement on the 'Mount Rushmore' of tech leaders is all but secured. Yet, what we're seeing across the past six months might be his greatest work to date, and last night provided another coup for NVIDIA. Yesterday, Meta Platforms (NASDAQ:META) announced a massive AI infrastructure partnership with NVIDIA, committing billions to GPU purchases as Meta spends $115-135 billion in capital expenditures this year.

White-collar workers are getting nervous, with good reason. Sure, 98 percent of college graduates who want a job still have one, and wages are ticking up. Sure, some companies that cite the labor-saving, efficiency-promoting effects of ChatGPT and Claude as they let employees go are just "AI washing" -talking about algorithms to distract from poor managerial decisions. But the labor market for office workers is beginning to shift.

Earlier this month, we covered Google testing what we called contextual overlay link cards in AI Overviews and AI Mode. Well, Google officially began rolling them out yesterday, and they are more like hover-over pop-up link cards. Robby Stein from Google announced this on X saying, "In AI Overviews and AI Mode, groups of links will automatically appear in a pop-up as you hover over them on desktop, so you can jump right into a website to learn more."