Tag: WebDev

The Allen Institute for AI (Ai2) recently released what it calls its most powerful family of models yet, Olmo 3. But the company kept iterating on the models, expanding its reinforcement learning (RL) runs, to create Olmo 3.1.The new Olmo 3.1 models focus on efficiency, transparency, and control for enterprises. Ai2 updated two of the three versions of Olmo 2: Olmo 3.1 Think 32B, the flagship model optimized for advanced research, and Olmo 3.1 Instruct 32B, designed for instruction-following, multi-turn dialogue, and tool use. Olmo 3 has a third version, Olmo 3-Base for programming, comprehension, and math. It also works well for continue fine-tuning. Ai2 said that to upgrade Olmo 3 Think 32B to Olmo 3.1, its researchers extended its best RL run with a longer training schedule. “After the original Olmo 3 launch, we resume

In a new paper that studies tool-use in large language model (LLM) agents, researchers at Google and UC Santa Barbara have developed a framework that enables agents to make more efficient use of tool and compute budgets. The researchers introduce two new techniques: a simple "Budget Tracker" and a more comprehensive framework called "Budget Aware Test-time Scaling." These techniques make agents explicitly aware of their remaining reasoning and tool-use allowance.As AI agents rely on tool calls to work in the real world, test-time scaling has become less about smarter models and more about controlling cost and latency.For enterprise leaders and developers, budget-aware scaling techniques offer a practical path to deploying effective AI agents without facing unpredictable costs or diminishing returns on compute spend.The challenge of scaling tool useTraditional

OpenAI has officially released GPT-5.2, and the reactions from early testers — among whom OpenAI seeded the model several days prior to public release, in some cases weeks ago — paints a two toned picture: it is a monumental leap forward for deep, autonomous reasoning and coding, yet potentially an underwhelming "incremental" update for casual conversationalists.Following early access periods and today's broader rollout, executives, developers, and analysts have taken to X (formerly Twitter) and company blogs to share their first testing results. Here is a roundup of the first reactions to OpenAI’s latest flagship model."AI as a serious analyst"The strongest praise for GPT-5.2 centers on its ability to handle "hard problems" that require extended thinking time.Matt Shumer, CEO of HyperWriteAI, did not minc

The rumors were true: OpenAI on Thursday announced the release of its new frontier large language model (LLM) family, GPT-5.2.It comes at a pivotal moment for the AI pioneer, which has faced intensifying pressure since rival Google’s Gemini 3 LLM seized the top spot on major third-party performance leaderboards and many key benchmarks last month, though OpenAI leaders stressed in a press briefing that the timing of this release had been discussed and worked on well in advance of the release of Gemini 3.OpenAI describes GPT-5.2 as its "most capable model series yet for professional knowledge work," aiming to reclaim the performance crown with significant gains in reasoning, coding, and agentic workflows."It’s our most advanced frontier model and the strongest yet in

Marble, a startup building artificial intelligence agents for tax professionals, has raised $9 million in seed funding as the accounting industry grapples with a deepening labor shortage and mounting regulatory complexity.The round, led by Susa Ventures with participation from MXV Capital and Konrad Capital, positions Marble to compete in a market where AI adoption has lagged significantly behind other knowledge industries like law and software development."When we looked at the economy and asked ourselves where AI is going to transform the way businesses operate, we focused on knowledge industries — specifically businesses with hourly fee-based service models," said Bhavin Shah, Marble's chief executive officer, in an exclusive interview with VentureBeat. "Accounting generates $250 billion in fee-based billing in the US every year. There'

Nous Research, the San Francisco-based artificial intelligence startup, released on Tuesday an open-source mathematical reasoning system called Nomos 1 that achieved near-elite human performance on this year's William Lowell Putnam Mathematical Competition, one of the most prestigious and notoriously difficult undergraduate math contests in the world.The Putnam is known for its difficulty: While a perfect score is 120, this year's top score was 90, and the median was just 2. Nomos 1, by contrast, scored 87 points — a result that would have ranked second out of 3,988 participants in the 2024 competition, according to the company.The release marks an inflection point in the rapidly accelerating race to build AI systems capable of sophisticated mathematical reasoning. Unlike the massive, compute-intensive models deployed by ma

Presented by Oracle NetSuiteWhen any company tells you it is their biggest product release in almost three decades, it’s worth listening. When the person saying it founded the world’s first cloud computing company, it’s time to take note. At SuiteWorld 2025, Evan Goldberg, founder and EVP of Oracle NetSuite, did just that when he called NetSuite Next the company’s biggest product evolution in nearly three decades. But behind that sweeping vision lies a quieter shift — one centered on how AI behaves, not just what it can do. “Every company is experimenting with AI,” says Brian Chess, SVP of Technology and AI at NetSuite. “Some ideas hit the mark, and some don’t, but each one teaches us something. That’s how innovation works.”For Chess and Gary Wiessinger, SVP of Application Development at NetSuite, the challenge lies in governing AI responsibly. Rather than reinventing its system, NetSuite is extending the same principles