AI = Deep Learning + Causal Inference + Symbol Manipulation A I = ∇ w + P ( Y = y | d o ( X = x ) ) + λ.#AI #GenAI #CausalAI #KnowledgeGraphs #NeuroSymbolics.

🔥 #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? 🚨.

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.

RT @ai_for_success: Meta Superintelligence Labs .Chief AI Officer & Chief AI Scientist. What happened to Yann LeCun?

RT @fchollet: Official verification of Qwen3-235b Instruct: it gets 11% on ARC-AGI-1 and 1.3% on ARC-AGI-2 (semi-private sets). These numbe….

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.

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.

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.

RT @fchollet: Today we're releasing a developer preview of our next-gen benchmark, ARC-AGI-3. The goal of this preview, leading up to the….

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.

#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.

#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.

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.

This emancipates customers from proprietary tools, from slow-rollout and expensive #Joule and get #SOTA #AI running independently of whether they are on-prem or not.On top of that #MCP your OData to make the data queriable.This can be done in ABAP or in #node.js or #Python or or.

Why not get rid of annotation hell and and why distinguish between free-style and annotated list reports and object pages? Let’s expose the relevant data using web-api #RAP without ui annotations and let coding agents render the UI via #CAP according to fiori elements specs! #SAP.

I’m pretty sure that #SAP customers will learn fast how to expose their relevant business data via #MCP, use their #ABAP codebase to equip SOTA models and use more #CAP to leverage the best coding agents w/o the need to rely on a slow and expensive roll-out of a proprietary.

With Gemini 2.5 Pro, Gemini Jules, Gemini Code Assist and now Gemini CLI, Google is fast pacing to the top. It’s only a matter of time until customers understand that #SAP will never be able to ship things of that quality for that pricing - they are just not an #AI first company.

The out of distribution (#OOD) dilemma of #LLM is comparable to the closed world assumption (#CWA) dilemma of classical rule based systems. The incapability of #AI to reason out of the box was and is the core problem. People have to understand this to escape the hype. #LLM.

RT @leecronin: LLMs cannot & will not ever be useful for scientific reasoning. LLMs will be useful in exposing non-scientific pseudo reason….

RT @burkov: It doesn't matter what the LM writes about the code it generated or about the reason for the bug it discovered. An LM doesn't….

RT @burkov: That’s pretty much not how it works. If this worked this way, we would already have a singularity.