PCWorld reports that OpenAI's GPT models, including GPT-5.5, developed an unusual obsession with mentioning goblins and similar creatures in responses. This quirky behavior stemmed from a "Nerdy" personality instruction encouraging playful language use, which became reinforced through AI training processes. The goblin references became so prevalent that OpenAI implemented a direct ban in its Codex app, illustrating the unpredictable nature of large language model training. I've seen some odd AI system instructions in my day, but this one takes the cake: a prompt in OpenAI's Codex command-line app that demands models "never talk about goblins, gremlins, trolls, ogres, pigeons, or other animals or creatures."

"Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant," reads OpenAI's coding agent instructions. OpenAI has a goblin problem. Instructions designed to guide the behavior of the company's latest model as it writes code have been revealed to include a line, repeated several times, that specifically forbids it from randomly mentioning an assortment of mythical and real creatures. "Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query," read instructions in Codex CLI, a command-line tool for using AI to generate code. It is unclear why OpenAI felt compelled to spell this out for Codex --or indeed why its models might want to discuss goblins or pigeons in the first place.

Whenever an obstacle is in contact with the robot, a constraint reward of 1 is given.

Linked data and labelled property graphs (LPG) are two data management approaches with complementary strengths and weaknesses, making their integration beneficial for sharing datasets and supporting software ecosystems. In thi s paper, we introduce rdf2pg, an extensible framework for mapping RDF data to semantically equivalent LPG formats and databases. Utilising this framework, we perform a comparative analysis of three popular graph databases - Virtuoso, Neo4j, and ArcadeDB - and the well - known graph query languages SPARQL, Cypher, and Gremlin. Our qualitative and quantitative assessments underline the strengths and limitations of these graph database technologies. Additionally, we highlight the potent ial of rdf2pg as a versatile tool for enabling polyglot access to knowledge graphs, aligning with established standards of linked data and the semantic web.

Nobody forgets the thrill of their first credit card. Maybe because it tastes like sweet freedom … or because it leaves a permanent mark on your credit score when you forget to pay off those spending sprees. Who else hit the mall feeling like they had "free money?" Well, now that you're a real adult, it's time to improve your credit score. If you want to apply for a home loan, increase your credit limits, or get more credit cards, it's unfortunately necessary.

If there's one thing that truly scares horror fans, it's a modern reboot of a beloved franchise. However, while those ageing terrors might have their charms, they don't quite match up to the fear factor of modern monsters. Now, AI has been used to reimagine what some of our favourite on-screen spooks might look like with modern film-making techniques. According to the AI, the Alien Queen from Aliens would be sleeker and shinier than her predecessor. Meanwhile, Stripe from Gremlins would be absolutely terrifying, with huge eyes - and enormous fangs to match.

Data models and query languages are admittedly somewhat dry topics for people who are not in the inner circle of connoisseurs. Although graph data models and query languages are no exception to that rule, we've tried to keep track of developments in that area, for one main reason. Graph is the fastest growing area in the biggest segment in enterprise software -- databases. Case in point: A series of recent funding rounds, culminating in Neo4j's $325 million Series F funding round, brought its valuation to over $2 billion. Neo4j is among the graph database vendors who have been around the longest, and it now is the best-funded one, too.

Online glitches are basically modern day gremlins--and they can cost companies millions of dollars. With so much data to check and double-check, maybe artificial intelligence (AI) can help stop these "gremlins" from wreaking havoc online. Perhaps the most iconic World War II cartoon is the Warner Bros. episode "Falling Hare." Bugs Bunny pooh-poohs the notion of gremlins committing sabotage on the Allied war effort, until those little creatures cause malfunctions in everything from bombs to planes, with devastating results in the Merrie Melodies classic. SEE ALSO: The'Quantum Computing' Decade Is Coming--Why You Should Care According to Robert O. Harder, in a piece published by MHQ--The Quarterly Journal of Military History, "gremlins" were tall tales told by pilots of mischief makers that would infect aircraft, causing all kinds of maladies.

They were the mischievous creatures blamed for causing mechanical failures and faults on aircraft during World War Two - before starring in a hit film as destructive monsters. Now, the gremlins are back - as a new type of killer flying drone. The US Defense Advanced Research Projects Agency (DARPA) research arm is pitting Dynetics and General Atomics (maker of the Predator drone) against each other in a contest to make the craft. Darpa said the program has been deliberately named Gremlins after the imps that British pilots during Wold War Two adopted as their good luck charms. The program envisions launching groups of UASs from existing large aircraft such as bombers or transport aircraft - as well as from fighters and other small, fixed-wing platforms - while those planes are out of range of adversary defenses.

They were the mischievous creatures blamed for causing mechanical failures and faults on aircraft during World War Two - before starring in a hit film as destructive monsters. Now, the gremlins are back - as a new type of killer flying drone. The US Defense Advanced Research Projects Agency (DARPA) research arm has revealed is planning to test the radical craft next year after awarding Dynetics a contract to build them. DARPA said the program has been deliberately named Gremlins after the imps that British pilots during Wold War Two adopted as their good luck charms. The program envisions launching groups of UASs from existing large aircraft such as bombers or transport aircraft - as well as from fighters and other small, fixed-wing platforms - while those planes are out of range of adversary defenses. When the gremlins complete their mission, a C-130 transport aircraft would retrieve them in the air and carry them home, where ground crews would prepare them for their next use within 24 hours.