XR Blocks: Accelerating AI + XR innovation
Generative AI
-
-
Tiny Recursive Model (TRM): A Tiny 7M Model that Surpass DeepSeek-R1, Gemini 2.5 pro, and o3-mini at Reasoning on both ARG-AGI 1 and ARC-AGI 2
Can an iterative draft–revise solver that repeatedly updates a latent scratchpad outperform far bigger autoregressive LLMs on ARC-AGI? Samsung SAIT (Montreal) has launched Tiny Recursive Model (TRM)—a two-layer, ~7M-parameter recursive reasoner that studies 44.6–45% check accuracy on ARC-AGI-1 and 7.8–8% on ARC-AGI-2, surpassing outcomes reported for considerably bigger language fashions reminiscent of DeepSeek-R1, o3-mini-high, and…
-
AIAI Berlin, 2025
Stream each session from AIAI Berlin, with classes from Mastercard, Delivery Hero, Berenberg, Oracle, Deutsche Bank and extra
-
The AI Boom Faces Its Reckoning: Bank of England Sounds Alarm on a Bubble Ready to Pop
The world’s central bankers don’t often dabble in hype cycles—however this week, the Bank of England couldn’t keep quiet. In a stark evaluation, officers cautioned that the surging wave of synthetic intelligence investments could also be inflating into one thing dangerously fragile. They didn’t name it a “bubble” outright, however anybody studying between the traces…
-
Gemini Enterprise: Google aims to put an AI agent on every desk
Google Cloud has launched Gemini Enterprise, a brand new platform it calls “the brand new entrance door for AI within the office”. Announced throughout a digital press convention, the platform brings collectively Google’s Gemini fashions, first and third-party brokers, and the core know-how of what was previously often called Google Agentspace to create a singular…
-
AI reality check: Cutting through the agent hype
Let me begin with a confession: I work in go-to-market, which implies I pitch each single day. So, scripting this with out sounding like I’m promoting one thing? That’s going to be robust. But keep on with me – I promise the insights are value it. The uncomfortable reality about AI failures Here’s a query…
-
Why your AI investments are falling short
Let me share one thing that may sound acquainted: Your group has poured vital assets into AI initiatives, but the returns stay disappointingly linear. If you are nodding alongside, you are not alone. In reality, 85% of AI tasks fail to succeed in manufacturing in 2024. That’s a staggering statistic that retains me up at…
-
OpenAI and Jony Ive’s Voice-First AI Device Faces Major Delays—Privacy, Personality, and Compute Snags Stall 2026 Launch
The much-hyped AI {hardware} challenge between Sam Altman and designer Jony Ive is reportedly dealing with a big delay, with its launch now anticipated after 2026, in keeping with Windows Central. The screenless, always-on voice companion was meant to redefine human–AI interplay, however privateness issues, compute calls for, and even tips on how to give…
-
Why RAG fails in production (And how to fix it)
Let me share one thing which may shock you: up to 70% of Retrieval-Augmented Generation (RAG) programs fail in production. Yes, you learn that proper. While RAG seems to be magical in demos and proof-of-concepts, the truth of production deployment tells a really completely different story. I’m Shubham Maurya, Senior Data Scientist at Mastercard with…
-
Data Volume, Quality, and Model Degradation for AI at Scale – with Sunitha Rao
This interview evaluation is sponsored by Hitachi Vantara and was written, edited, and revealed in alignment with our Emerj sponsored content guidelines. Learn extra about our thought management and content material creation providers on our Emerj Media Services page. Poor knowledge high quality considerably reduces the efficiency of machine studying fashions by introducing errors, bias,…
