Why let #Joule generate code with annotations which then in turn generates the final code instead of generating the final code right away? #SAP #ABAP

#SAP: Focus on #AI compatible exposure of business data and let #AI native solutions deal with it. Get rid of annotation-based generation and let customers use SOTA coding agents to generate UI directly. This eliminates the artificial distinction between low/pro/free-style. And

#SAP: Noone wants to deal with 4 IDES!!! That’s unprofessional. We don’t need tool silos like SAP GUI, BAS, Eclipse ADT and VSC with Fiori Tools. Stop overcomplicating things at every turn and streamline your dev strategy. It will not end well otherwise. Take it from a

We need #neurosymbolic architectures which augment the #LLM prompt with the result of symbolic reasoning. It’s not enough to augment with symbolic facts from a #KnowledgeGraph or #Ontology alone. Only then will #LLM output be symbolically verifiable. #AI #SAP #ABAP

Today we're releasing a developer preview of our next-gen benchmark, ARC-AGI-3. The goal of this preview, leading up to the full version launch in early 2026, is to collaborate with the community. We invite you to provide feedback to help us build the most robust and effective

Why wait on #SAP #Joule? If you are on S/4 with #OData (doesn’t matter whether on-prem or cloud), expose your business data 2-fold: 1. webapi #RAP V4, consume with #CAP and 2. webapi V2, consume with #MCP OData bridge. You are ready for #AgenticAI using SOTA coding and #noui

In the age of #AI agent driven flow, #NoUI and #EphemeralUI become more central and will push browser, websites and apps into the background. Questions will be answered directly w/o UI - if necessary, it will be generated on the fly and vanish after use. Exposing data to AI is

Official verification of Qwen3-235b Instruct: it gets 11% on ARC-AGI-1 and 1.3% on ARC-AGI-2 (semi-private sets). These numbers are in line with other SotA base models. Qwen3 stands out by being the cheapest base model we tested to score above 10% on ARC-AGI-1.

I like the fact that #SAP tries to be ‘#AI ready’ but at least as for coding it is my firm belief that instead of coming up with their own agent (#Joule) they should have distributed a curated #ABAP training dataset to the real players.Would have made a world of difference for

Meta Superintelligence Labs Chief AI Officer & Chief AI Scientist What happened to Yann LeCun?

To all vibe coders their managers and CIO/CTO/CEOs out there: In case of failure, there is no one to blame but yourself: Not IT, not developers, not consultants, certainly not the #AI itself. To quote Jack Reacher: “Remember - YOU wanted this”. #SAP #ABAP

The perfect gift

🔥 #zed.dev is the best #IDE I saw in a long time. Fast, written in #Rust and SOTA #AI capable. Who wants to write a #SAP #ADT based #ABAP extension for it? 🚨

While #SAP touts that it is advocating #OpenSource and being open in general, many recent actions suggest otherwise: - OpenSAP courses : gone - CAP 9 : only with BTP license - OpenPartner Programme : discontinued - UI5 community: underfunded What’s going on??? #ABAP

There is some confusion among readers of #Bookofwhy regarding the impressive "causal understanding" LLM's, which seems to defy the theoretical prediction of the Ladder of Causation. The Ladder predicts that, regardless of data size, no learning machine could correctly answer

LLM adoption among US workers is closing in on 50%. Meanwhile labor productivity growth is lower than in 2020. Many counter-arguments can be made here, e.g. "they don't know yet how to be productive with it, they've only been using for 1-2 years", "50% is still too low to see