Destination
Google Deepmind's AlphaProof Nexus solves decades-old math problems for a few hundred dollars

Google Deepmind's AlphaProof Nexus has autonomously solved nine open Erdős problems, including two that stumped mathematicians for 56 years, for just a few hundred dollars per problem in inference costs. Unlike OpenAI's natural-language approach, the system uses the Lean compiler to verify every proof step automatically. Still, the overall success rate sits at just 2.5 percent.<br /> The article Google Deepmind's AlphaProof Nexus solves decades-old math problems for a few hundred dollars appeared first on The Decoder. [...]

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venturebeat
Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canv [...]

Match Score: 142.08

venturebeat
Fundamental emerges from stealth with first major foundation model trained for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canv [...]

Match Score: 133.74

venturebeat
Lean4: How the theorem prover works and why it's the new competitive edge in AI

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]

Match Score: 123.72

venturebeat
The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI [...]

Match Score: 111.59

venturebeat
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]

Match Score: 97.24

Destination
Google DeepMind's Genie 3 can dynamically alter the state of its simulated worlds

At start of December, Google DeepMind released Genie 2. The Genie family of AI systems are what are known as world models. They're capable of generating images as the user — either a human or, [...]

Match Score: 73.57

Destination
HoYoverse's Star Rail spinoff is Honkai: Nexus Anima

HoYoverse's next gacha game has shades of Teamfight Tactics and Pokémon. The developer describes Honkai: Nexus Anima as a "creature-collector adventure strategy game." HoYoverse first [...]

Match Score: 66.76

Destination
Surfshark VPN review: A fast VPN for casual users

Surfshark is one of the youngest major VPNs, but it's grown rapidly over the last seven years. Since 2018, it's expanded its network to 100 countries, added a suite of apps to its Surfshark [...]

Match Score: 66.50

venturebeat
Why Weibo’s tiny VibeThinker-3B has the AI world arguing over benchmarks again

On Sunday, a team of nine researchers at Sina Weibo — the Chinese social media giant better known for its microblogging platform than for cutting-edge artificial intelligence — quietly posted a 14 [...]

Match Score: 58.99