This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper .

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper .

Science Physics Particle Physics Einstein's handwritten encyclopedia entry could fetch $200,000 The six-page draft attempted to lay out the Theory of Relativity for a general audience. Breakthroughs, discoveries, and DIY tips sent every weekday. The draft of an encyclopedia article written by Albert Einstein explaining his Theory of Relativity is up for auction . Although, you'll need to brush up on your German to read the original copy. The unsigned, six-page document entitled "The Essence of the Theory of Relativity" is an early version of an entry later translated into English and included in volume XVI of 1948 edition of .

Environment Animals Wildlife Birds First known wild'grue jay' hybrid spotted in Texas Green and blue jays are crossing paths as temperatures rise. Breakthroughs, discoveries, and DIY tips sent every weekday. If you happen to find yourself in south Texas and spot a strikingly colored bird, be sure to snap a photo. According to biologists at the University of Texas at Austin, it may be a mix between a green jay () and a blue jay (). Unofficially dubbed a "grue jay," the bird likely marks one of the first confirmed examples of a vertebrate animal that hybridized partially due to climate change .

Keep fake spider webs close to your house, and ditch the real pumpkins if you live near wildlife. Breakthroughs, discoveries, and DIY tips sent every weekday. With spooky season just on the horizon, Halloween decorations are beginning to pop up everywhere--tombstones, pumpkins, and of course, tons and tons of fake spiderwebs . Amidst all the autumnal celebrations, it's easy to forget those who not only can't join in on the celebration, but might even be threatened by the decorations: wildlife. While Jennifer Bloodgood, a Cornell University wildlife veterinarian, hasn't personally witnessed it before, she tells that she agrees with the dangers of some Halloween decorations. "Birds would definitely be the major concern," she says, referring specifically to fake spider webs.

On its 20th anniversary, YouTube is venturing into an era of AI-generated video, and may never be the same. Google figured out early on that video would be a great addition to its search business, so in 2005 it launched Google Video. Focused on making deals with the entertainment industry for second-rate content, and overly cautious on what users could upload, it flopped . In 2006, Google snapped up that year-old company, figuring it would sort out the IP stuff later. Though the $1.65 billion purchase price for YouTube was about a billion dollars more than its valuation, it was one of the greatest bargains ever.

SoftBank's Vision Fund mulls 20% job cuts after Son's pivot to AI SoftBank Group's Vision Fund is considering cutting as much as 20% of its staff. SoftBank Group's Vision Fund is considering cutting as much as 20% of its staff, a person familiar with the matter said, underscoring a shift in CEO Masayoshi Son's focus to ambitious bets on artificial intelligence. The unit, which employed about 282 people as of the end of March, may shed more than 50 roles, the person said, asking not to be identified discussing private deliberations. The reduction extends years of cutbacks as the Vision Fund unit shrank in importance next to Son's growing appetite for big AI bets. Those include a plan to invest about $30 billion in OpenAI and a $6.5 billion deal to acquire chip designer Ampere Computing, which faces regulatory scrutiny.

Tours are being offered in Tokyo using a shoulder-mounted robot equipped with a camera, speaker and microphone. The robot twitches its wing-like arms, which it can fold together as if in prayer when visiting a temple. In the business district of Tokyo's Nihonbashi, groups of tourists are on guided tours of the area. But rather than being accompanied by a person, they're being shown around by a shoulder-mounted robot. If all goes well, these bilingual human-controlled robots, conversant in English and Japanese, could become a common sight in the capital. Created by robotics company OryLab, OriHime is a white robot with green eyes, weighing 4 kilograms.

Robert Cherone, 45, was killed at Palermo's Pizza West Milwaukee facility after being crushed by a robotic machine, prompting an OSHA investigation.

Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by retrieving relevant documents from external sources to improve factual accuracy and verifiability. However, this reliance introduces new attack surfaces within the retrieval pipeline, beyond the LLM itself. While prior RAG attacks have exposed such vulnerabilities, they largely rely on manipulating user queries, which is often infeasible in practice due to fixed or protected user inputs. This narrow focus overlooks a more realistic and stealthy vector: instructional prompts, which are widely reused, publicly shared, and rarely audited. Their implicit trust makes them a compelling target for adversaries to manipulate RAG behavior covertly. We introduce a novel attack for Adversarial Instructional Prompt (AIP) that exploits adversarial instructional prompts to manipulate RAG outputs by subtly altering retrieval behavior. By shifting the attack surface to the instructional prompts, AIP reveals how trusted yet seemingly benign interface components can be weaponized to degrade system integrity. The attack is crafted to achieve three goals: (1) naturalness, to evade user detection; (2) utility, to encourage use of prompts; and (3) robustness, to remain effective across diverse query variations. We propose a diverse query generation strategy that simulates realistic linguistic variation in user queries, enabling the discovery of prompts that generalize across paraphrases and rephrasings. Building on this, a genetic algorithm-based joint optimization is developed to evolve adversarial prompts by balancing attack success, clean-task utility, and stealthiness. Experimental results show that AIP achieves up to 95.23% ASR while preserving benign functionality. These findings uncover a critical and previously overlooked vulnerability in RAG systems, emphasizing the need to reassess the shared instructional prompts.