Gemini 3 is here and it edges out XAI Grok 4.1 as the state of the art model topping the leaderboards. This is likely be the best for coding in Apps with tool use. The new agentic development platform, Google Antigravity will be a Cursor (AI coding) competitor. They used the guts of windsurf and …
Mathematician Thomas Bloom, runs erdosproblems.com, explains that OpenAI surfaced erdos problem solutions that were not unsolved. OpenAI GPT-5 simply surfaced existing papers solving them that he had personally overlooked, mislabeling them as “open” on his site. No new mathematics was generated—GPT-5 acted as an advanced search tool. OpenAI’s Mark Sellke and Sebastien Bubeck previously announced …
Total funding for the top 10 AI companies is ~$115B and 70% is in 2025. Enterprise shift (Cohere/Inflection) yields 2-3x faster ROI than consumer bets. The AI funding does not include the $60-80 billion per year that Google speeds on AI capex. ROI signals are strong—enterprise AI ARR grew 300% YoY. Brian WangBrian Wang is …
Developer and entrepreneur David Ondrej demonstrates Grok 4, xAI’s latest AI mode. It outperforms competitors like OpenAI, Anthropic, Meta, and Google on benchmarks such as GPQA (Google-proof questions), advanced math, and coding. He highlights three variants: Grok 4 Base (no tools), Grok 4 Base with tools, and Grok 4 Heavy ($300/month), a multi-agent system where …
Google Gemini 2.5 is a thinking model, designed to tackle increasingly complex problems. The first 2.5 model, Gemini 2.5 Pro Experimental, leads common benchmarks by meaningful margins and showcases strong reasoning and code capabilities. Gemini 2.5 achieved a new level of performance by combining a significantly enhanced base model with improved post-training. Going forward, google …
Demis Hassabis is the CEO of Google DeepMind. Demis thinks new agent type systems will be able to perform additional tree of knowledge search to achieve breakthrough insights like the move 37 in the Go system game. In this conversation, he talks about the path to artificial general intelligence. How long it will take to …
DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials. Nature – Scaling deep learning for materials …
Dr Alan Thompson has been closely tracking all AI and large language models at lifearchitect.ai. Alan believes the Q Star rumors are a red herring but he has been saying the critical next steps to go to 60-80% AGI are humanoid robotics. Humanoid robotics that are could pass Steve Wozniak’s test of AGI: walk into …
DeepMind’s Gemini is a large language model that works with text and is similar to GPT-4, which powers ChatGPT. Deepmin CEO Demi Hassabis says his team will combine LLM with AlphaGO reinforcement learning. Gemini will still take months to complete and hundreds of millions of dollars. Sam Altman, OpenAI CEO, said in April that creating …
Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. Deepmind researchers introduce a new framework for …
There are six major AI projects in the race beyond 2 trillion parameter models. There is OpenAI, Anthropic, Google/Deepmind, Meta, a UK government project and a stealth project. It takes $1-2 billion per year of resources to be in the game. There is $1 billion needed for hardware and that hardware will need to be …