AI Research
Thinking Machines Lab Reveals Research On Eliminating Randomness In AI Model Responses
Thinking Machines Lab, backed by $2 billion in seed funding and staffed with former OpenAI researchers, has shared its first detailed research insights.
The lab released a blog post Wednesday examining how to create AI models that produce more consistent and reproducible responses, addressing a fundamental challenge in artificial intelligence development.
AI model consistency research targets nondeterminism in large language models
The blog post, titled “Defeating Nondeterminism in LLM Inference,” investigates why AI models often generate varied answers to identical questions. While this variability has been accepted as an inherent characteristic of large language models, Thinking Machines Lab views this nondeterminism as a solvable problem rather than an unavoidable limitation.
GPU kernel orchestration causes response randomness
Researcher Horace He authored the post, arguing that randomness in AI models stems from how GPU kernels are orchestrated during inference processing. Inference processing refers to the computational steps that occur after users submit queries, such as pressing enter in ChatGPT.
GPU kernels are specialized programs running on Nvidia computer chips. He believes careful management of this orchestration layer can enable AI models to generate more predictable and consistent outputs.
Consistent responses improve reinforcement learning training
Beyond enhancing reliability for enterprise and scientific applications, He suggests reproducible responses can streamline reinforcement learning (RL) training. Reinforcement learning rewards AI models for correct answers, but inconsistent responses introduce noise into training data.
More consistent responses could improve the RL process, which aligns with The Information’s previous reporting that Thinking Machines Lab plans to use RL for tailoring AI models to specific business needs.
First product launch planned for coming months
Former OpenAI Chief Technology Officer Mira Murati announced in July that Thinking Machines Lab will release its first product soon. She indicated the product will be “useful for researchers and startups developing custom models,” though specific details and whether it incorporates the reproducibility techniques remain undisclosed.
Open research commitment mirrors early OpenAI approach
Thinking Machines Lab announced plans to regularly publish blog posts, code, and research outputs to “benefit the public, but also improve our own research culture.” The recent post launches a new series called “Connectionism,” reflecting this transparency commitment.
This approach mirrors OpenAI’s early open research pledge, though OpenAI became less transparent as it grew. The research blog provides rare insight into Thinking Machines Lab’s operations and indicates the company is tackling significant AI research challenges while working toward products that justify its $12 billion valuation.
Artificial intelligence is transforming our world at an unprecedented rate, but what does this mean for Christians, morality and human flourishing?
In this episode of “The Inside Story,” Billy Hallowell sits down with The Christian Post’s Brandon Showalter to unpack the promises and perils of AI.
From positives like Bible translation to fears over what’s to come, they explore how believers can apply a biblical worldview to emerging technology, the dangers of becoming “subjects” of machines, and why keeping Christ at the center is the only true safeguard.
Plus, learn about The Christian Post’s upcoming “AI for Humanity” event at Colorado Christian University and how you can join the conversation in person or via livestream:
“The Inside Story” takes you behind the headlines of the biggest faith, culture and political headlines of the week. In 15 minutes or less, Christian Post staff writers and editors will help you navigate and understand what’s driving each story, the issues at play — and why it all matters.
Listen to more Christian podcasts today on the Edifi app — and be sure to subscribe to The Inside Story on your favorite platforms:
AI Research
BNY and Carnegie Mellon University announce five-year $10 million partnership supporting AI research — EdTech Innovation Hub
The $10 million deal aims to bring students, faculty and staff together alongside BNY experts to advance AI applications and systems to prepare the next generation of leaders.
Known as the BNY AI Lab, the collaboration will focus on technologies and frameworks that can ensure robust governance of mission-critical AI applications.
“As AI drives productivity, unlocks growth and transforms industries, Pittsburgh has cemented its role as a global hub for innovation and talent, reinforcing Pennsylvania’s leadership in shaping the broader AI ecosystem,” comments Robin Vince, CEO at BNY. “Building on BNY’s 150-year legacy in the Commonwealth, we are proud to expand our work with Carnegie Mellon University to help attract world-class talent and pioneer AI research with an impact far beyond the region.”
A dedicated space for the collaboration will be created at the University’s Pittsburgh campus during the 2025-26 academic year.
“AI has emerged as one of the single most important intellectual developments of our time, and it is rapidly expanding into every sector of our economy,” adds Farnam Jahanian, President of Carnegie Mellon. “Carnegie Mellon University is thrilled to collaborate with BNY – a global financial services powerhouse – to responsibly develop and scale emerging AI technologies and democratize their impact for the benefit of industry and society at large.”
The ETIH Innovation Awards 2026
The EdTech Innovation Hub Awards celebrate excellence in global education technology, with a particular focus on workforce development, AI integration, and innovative learning solutions across all stages of education.
Now open for entries, the ETIH Innovation Awards 2026 recognize the companies, platforms, and individuals driving transformation in the sector, from AI-driven assessment tools and personalized learning systems, to upskilling solutions and digital platforms that connect learners with real-world outcomes.
Submissions are open to organizations across the UK, the Americas, and internationally. Entries should highlight measurable impact, whether in K–12 classrooms, higher education institutions, or lifelong learning settings.
Winners will be announced on 14 January 2026 as part of an online showcase featuring expert commentary on emerging trends and standout innovation. All winners and finalists will also be featured in our first print magazine, to be distributed at BETT 2026.
Charlotte EdwardsBusiness reporter, BBC News
Getty ImagesThe UK and US are set to sign a landmark agreement aimed at accelerating the development of nuclear power.
The move is expected to generate thousands of jobs and strengthen Britain’s energy security.
It is expected to be signed off during US President Donald Trump’s state visit this week, with both sides hoping it will unlock billions in private investment.
Prime Minister Sir Keir Starmer said the two nations were “building a golden age of nuclear” that would put them at the “forefront of global innovation”.
The government has said that generating more power from nuclear can cut household energy bills, create jobs, boost energy security, and tackle climate change.
The new agreement, known as the Atlantic Partnership for Advanced Nuclear Energy, aims to make it quicker for companies to build new nuclear power stations in both the UK and the US.
It will streamline regulatory approvals, cutting the average licensing period for nuclear projects from up to four years to just two.
‘Nuclear renaissance’
The deal is also aimed at increasing commercial partnerships between British and American companies, with a number of deals set to be announced.
Key among the plans is a proposal from US nuclear group X-Energy and UK energy company Centrica to build up to 12 advanced modular nuclear reactors in Hartlepool, with the potential to power 1.5 million homes and create up to 2,500 jobs.
The broader programme could be worth up to £40bn, with £12bn focused in the north east of England.
Other plans include multinational firms such as Last Energy and DP World working together on a micro modular reactor at London Gateway port. This is backed by £80m in private investment.
Elsewhere, Holtec, EDF and Tritax are also planning to repurpose the former Cottam coal-fired plant in Nottinghamshire into a nuclear-powered data centre hub.
This project is estimated to be worth £11bn and could create thousands of high-skilled construction jobs, as well as permanent jobs in long-term operations.
Beyond power generation, the new partnership includes collaboration on fusion energy research, and an end to UK and US reliance on Russian nuclear material by 2028.
Commenting on the agreement, Energy Secretary Ed Miliband said: “Nuclear will power our homes with clean, homegrown energy and the private sector is building it in Britain, delivering growth and well-paid, skilled jobs for working people.”
And US Energy Secretary Chris Wright described the move as a “nuclear renaissance”, saying it would enhance energy security and meet growing global power demands, particularly from AI and data infrastructure.
Sir Keir has previously said he wants the UK to return to being “one of the world leaders on nuclear”.
In the 1990s, nuclear power generated about 25% of the UK’s electricity but that figure has fallen to around 15%, with no new power stations built since then and many of the country’s ageing reactors due to be decommissioned over the next decade.
In November 2024, the UK and 30 other countries signed a global pledge to triple their nuclear capacity by 2050.
And earlier this year, the government announced a deal with private investors to build the Sizewell C nuclear power station in Suffolk.
Its nuclear programme also includes the UK’s first small modular reactors (SMRs), which will be built by UK firm Rolls Royce.
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