Latest news with #Fulford
Yahoo
21-07-2025
- Sport
- Yahoo
On this day in 2015: Fulford Golf Club asked to host Carris Trophy
On this day in 2015, the York Press reported that Fulford Golf Club had been asked to host the Carris Trophy in 2018. The under-18 event, known officially as the English Boys Under 18 Open Amateur Stroke-Play Championship, has been won by golfing stars such as Sandy Lyle, Peter Baker, and Justin Rose. Gary Pearce, general manager at Fulford Golf Club, said at the original time of reporting in 2015: "This is a fantastic event. "England Golf, when they hosted the Ladies European Team Championships [at Fulford Golf Club in 2013], saw how well that went and how well that was supported – that was the biggest supported event they have ever run with the numbers that came and watched – and said they would offer us another event. "The first was the north region qualifier for the Brabazon Trophy, and now we have the Carris Trophy, which is a great tournament. "It will be a four-day event, run like a professional tournament. "A lot of great players have won the Carris and there will be some fantastic low handicap golfers here." More information about Fulford Golf Club is available at
Times
08-07-2025
- Times
Southport inquiry begins — follow live
Rudukaubana's actions were 'one of the most egregious crimes in our country's history', the inquiry chairman, Fulford, said. 'However hard we try, ordinary language simply fails to reflect the enormity of what he did on 29 July last year. None of the most powerful adjectives even begin to suffice: there are no words that adequately describe what occurred and I am not going to try (and then fail) to find them'. The actions of the Southport murderer Axel Rudakubana were 'almost unimaginable but nonetheless mercilessly calculated', the chairman of the Southport inquiry has said in an opening statement. Sir Adrian Fulford, a retired appeal court judge, says the inquiry would refer to Rudakubana only as 'the perpetrator' or 'AR' due to the 'wholly understandable sensitivity' felt by the victims and their families. The chairman outlined the crimes committed by Rudakubana, in which he travelled by taxi to a Taylor Swift-themed children's dance class in Southport and murdered three young girls taking part. A further 16 people escaped without physical injury but 'suffered significant psychological trauma'. Rudakubana was sentenced to a minimum of 52 years in prison in January.
Yahoo
16-05-2025
- Sport
- Yahoo
Gibson, local natives set for annual Marshall golf outing at Grandview
Marshall sports fans in southern West Virginia will have the chance to greet the new football coach. The day will also serve as a homecoming for a few area natives who now call the university their home. The 35th annual Big Green Golf Outing at Grandview Country Club will be held on Monday. It is sponsored Marshall University Southern Coalfields Alumni and is part of the Big Green Coaches Tour. Advertisement Tony Gibson, who was introduced as the Thundering Herd's new head football coach in December, will be there. Gibson, a native of Van in Boone County, is back in his home state for his first stint as a head coach after a career that has taken him to Cumberland, Michigan, Pitt, Arizona and N.C. State. Of course, his career started at Glenville State under Rich Rodriguez, who he followed to West Virginia University. Gibson had a second stint with the Mountaineers from 2014-2018. The golf outing will also have a feel even closer to home with the presence of Gibson's defensive coordinator Shannon Morrison, head men's basketball coach Corny Jackson and his associate head coach Rob Fulford. Morrison and Jackson are both Oak Hill graduates, and Fulford is a Mullens native. Advertisement Morrison played at Marshall and was a member of the 1992 Division I-AA national championship team, as well as two national runners-up in 1991 and 1993. He is now in his fourth stint as an assistant coach with the Herd. He also has stops at Sam Houston State, Eastern Kentucky, Ball State, Cincinnati, Memphis, Bowling Green, Lehigh, Southeast Missouri and Hampden-Sydney. Jackson just completed his first season as the head men's basketball coach, guiding the Herd to a 20-13 record and a spot in the second round of the Sun Belt Conference Tournament. He had spent the previous six seasons as an assistant and later associate to head coach Dan D'Antoni. D'Antoni is a Mullens native, and that's where Jackson went for his associate head coach. Fulford, a graduate of storied Mullens High, joined Jackson for his first season after spending the previous seven as an assistant at Akron. Before that, Fulford was an assistant at Missouri for three seasons. Advertisement Fulford, a Marshall alumnus, had been an assistant coach at Mountain State University and the head coach at Mountain State University under Bob Bolen. He then went on to a successful career as the head coach at Huntington Prep, where he guided such players as No. 1 NBA Draft pick Andrew Wiggins, NBA Draft lottery pick Miles Bridges and first round pick Gorgui Dieng. Also on hand will be head women's golf coach Brooke Burkhammer, a Cabell Midland alumna, as well as John Sutherland, Marshall's Senior Associate Athletic Director for Development and the Executive Director of the Big Green Scholarship Foundation. On Wednesday, the university announced that Sutherland will be retiring effective June 3 after 24 years at Marshall. Opportunities to play in and/or advertise with the outing are available. A sponsorship package of $250 is good for signage, golf for one, drinks, lunch and dinner. Additional golfers cost $150 each. Cost for signs only is $125. Individual golf packages (golf, drinks, lunch and dinner) are $150. Advertisement There will be contests, pink tees and mulligan packages for $20 each. Registration will run from 10-11:30 a.m. and play will open with a shotgun start at noon. Lunch will be provided Subway/Little General. Dinner, provided by Pasquale's, will be served after golf is complete. Anyone wanting to attend dinner only can do so for $25. The annual Golf Ball Drop Fundraiser will also be held. Go to Facebook and like the Marshall University Southern Coalfields Alumni and Big Green Club page for details. For all this and any sponsorship questions, the following are available: Larry Foster (304-573-5336), Larry Canterbury (304-633-6474), Doug Leeber (304-266-8766), Miranda Elkins (304-894-2636) and Amanda Ashley (304-890-9215).
Techday NZ
14-05-2025
- Business
- Techday NZ
OpenAI reveals how deep research transforms inquiry
OpenAI has introduced a new agentic AI system called 'deep research,' designed to handle complex, time-consuming research tasks by simulating the work of a human analyst. Presented by researchers Isa Fulford and Edward Sun during an OpenAI forum event, the new tool is powered by a fine-tuned version of OpenAI's upcoming O3 model and leverages advanced reasoning and browsing capabilities. "Deep research is an agent in ChatGPT that can do work for you independently," Fulford explained. "You give it a prompt, and it will find, analyse, and synthesise hundreds of online sources to create a comprehensive report at the level of a research analyst." The system is intended to help users across a range of sectors—from academia and medicine to business and software development. "Members are finding that deep research asks clarifying questions to refine research before it even starts," said Fulford. "We think that deep research can accomplish in tens of minutes what would take a human many hours." The model represents a major step forward in OpenAI's work with reasoning systems, building on reinforcement learning techniques introduced in its earlier models. Fulford explained how the company developed the tool: "We launched O1 in September of last year. This was the first model that we released in this new paradigm of training where models are trained to think before answering… and we called this text where the model is thinking, 'chain of thought'." This method of structured, internal reasoning proved effective not only in tasks such as maths and coding, but also in navigating complex real-world information environments. "Around a year ago internally, we were seeing really great success… and we wondered if we could apply these same methods but for tasks that are more similar to what a large number of users do in their daily lives and jobs," Fulford said. Sun detailed how the tool works by combining reasoning with specialised capabilities like web browsing and code execution. "The browser tool helps the model to aggregate or synthesise real-time data, and the Python tool is helping the model to process this data," he explained. The system dynamically alternates between reasoning and action, using reinforcement learning to improve over time. One striking example involved analysing medal data from the 2020 Tokyo Olympics. "You can see how the model interleaved reasoning with actual tool calls to search for information, refine the data, and process it programmatically," Sun said. Unlike older approaches that rely on a single-pass search or instruction-following, deep research iteratively refines its answers. "We train the model with end-to-end reinforcement learning," Sun added. "We directly optimise the model to actively learn from the feedback, both positive and negative." OpenAI tested the model extensively against both public and internal benchmarks. According to Fulford, "the model pairing deep research scored a new high of 26.6%" on the Humanities Last Exam, an expert-level evaluation spanning over 100 subjects. On another benchmark, GAIA, the tool also achieved a state-of-the-art result for multi-step web browsing and reasoning. The model also underwent safety evaluations prior to release. "We did extensive red teaming with external testers, and then also went through preparedness and governance reviews that we always do at OpenAI," Fulford said. Despite strong results, the researchers acknowledged current limitations. "It still may hallucinate facts or infer things incorrectly," Fulford said. "Sometimes it struggles to distinguish between authoritative sources and rumours." Use cases continue to emerge in unexpected domains. "People might be using the model a lot for coding. And that's been a really big use case," Fulford observed. Other domains include scientific and medical research, where professionals have begun verifying the model's output against their own expertise. Users are also adapting their behaviour to suit the model. "We've seen interesting user behaviour where people put a lot of effort into refining their prompts using O1 or another model," Fulford said. "And then only after really refining that instruction, they'll send it to deep research… which makes sense if you're going to wait a long time for an output." Currently, deep research is available to users on the Plus, Pro, Teams, Enterprise and EDU plans. "We're very excited to release a smaller, cheaper model to the free tier," Fulford confirmed. The team also plans to improve personalisation and explore ways to let users incorporate subscription services or private data into the research process. "This showcases how the model can effectively break down a complex task, gather information from various sources, and structure the response coherently for the user," Sun said in closing. OpenAI's forum audience, composed of members across academia, government, and business, left the event with a clear sense that deep research marks a meaningful step toward AI systems capable of handling work currently done by skilled analysts.
Techday NZ
14-05-2025
- Business
- Techday NZ
OpenAI forum reveals how deep research transforms inquiry
OpenAI has introduced a new agentic AI system called 'deep research,' designed to handle complex, time-consuming research tasks by simulating the work of a human analyst. Presented by researchers Isa Fulford and Edward Sun during an OpenAI forum event, the new tool is powered by a fine-tuned version of OpenAI's upcoming O3 model and leverages advanced reasoning and browsing capabilities. "Deep research is an agent in ChatGPT that can do work for you independently," Fulford explained. "You give it a prompt, and it will find, analyse, and synthesise hundreds of online sources to create a comprehensive report at the level of a research analyst." The system is intended to help users across a range of sectors—from academia and medicine to business and software development. "Members are finding that deep research asks clarifying questions to refine research before it even starts," said Fulford. "We think that deep research can accomplish in tens of minutes what would take a human many hours." The model represents a major step forward in OpenAI's work with reasoning systems, building on reinforcement learning techniques introduced in its earlier models. Fulford explained how the company developed the tool: "We launched O1 in September of last year. This was the first model that we released in this new paradigm of training where models are trained to think before answering… and we called this text where the model is thinking, 'chain of thought'." This method of structured, internal reasoning proved effective not only in tasks such as maths and coding, but also in navigating complex real-world information environments. "Around a year ago internally, we were seeing really great success… and we wondered if we could apply these same methods but for tasks that are more similar to what a large number of users do in their daily lives and jobs," Fulford said. Sun detailed how the tool works by combining reasoning with specialised capabilities like web browsing and code execution. "The browser tool helps the model to aggregate or synthesise real-time data, and the Python tool is helping the model to process this data," he explained. The system dynamically alternates between reasoning and action, using reinforcement learning to improve over time. One striking example involved analysing medal data from the 2020 Tokyo Olympics. "You can see how the model interleaved reasoning with actual tool calls to search for information, refine the data, and process it programmatically," Sun said. Unlike older approaches that rely on a single-pass search or instruction-following, deep research iteratively refines its answers. "We train the model with end-to-end reinforcement learning," Sun added. "We directly optimise the model to actively learn from the feedback, both positive and negative." OpenAI tested the model extensively against both public and internal benchmarks. According to Fulford, "the model pairing deep research scored a new high of 26.6%" on the Humanities Last Exam, an expert-level evaluation spanning over 100 subjects. On another benchmark, GAIA, the tool also achieved a state-of-the-art result for multi-step web browsing and reasoning. The model also underwent safety evaluations prior to release. "We did extensive red teaming with external testers, and then also went through preparedness and governance reviews that we always do at OpenAI," Fulford said. Despite strong results, the researchers acknowledged current limitations. "It still may hallucinate facts or infer things incorrectly," Fulford said. "Sometimes it struggles to distinguish between authoritative sources and rumours." Use cases continue to emerge in unexpected domains. "People might be using the model a lot for coding. And that's been a really big use case," Fulford observed. Other domains include scientific and medical research, where professionals have begun verifying the model's output against their own expertise. Users are also adapting their behaviour to suit the model. "We've seen interesting user behaviour where people put a lot of effort into refining their prompts using O1 or another model," Fulford said. "And then only after really refining that instruction, they'll send it to deep research… which makes sense if you're going to wait a long time for an output." Currently, deep research is available to users on the Plus, Pro, Teams, Enterprise and EDU plans. "We're very excited to release a smaller, cheaper model to the free tier," Fulford confirmed. The team also plans to improve personalisation and explore ways to let users incorporate subscription services or private data into the research process. "This showcases how the model can effectively break down a complex task, gather information from various sources, and structure the response coherently for the user," Sun said in closing. OpenAI's forum audience, composed of members across academia, government, and business, left the event with a clear sense that deep research marks a meaningful step toward AI systems capable of handling work currently done by skilled analysts.
