Daily AI Recap: Jun 24, 2026

Welcome to today's curated briefing of the most important AI developments.

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Former Infosys chief has a new startup that wants to challenge the IT services world: Backed by Mayfield and Aramco Ventures, Vishal Sikka’s new venture brings together veterans from SAP, Infosys, and VianAI....
Cerebras stock plunges after earnings as CEO says margin outlook was misunderstood: In its first earnings report since going public, the AI chipmaker forecast a narrower gross margin in its core business, scaring investors....
AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient: While AI dominates the layoff narrative, engineers as a share of total new hires have actually increased, according to SignalFire data....
AI researchers continue to leave Google for its rivals: Top AI researchers Jonas Adler and Alexander Pritzel are leaving Google for Anthropic, following departures from top scientists Noam Shazeer and John Jumper....
The memory chip crunch is paying off for this U.S. company: Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year....
Companies are scrambling to stop employees from maxing out AI budgets with small tasks: The tokenmaxxing era was brief. We now appear to be entering the era of token rationing....
How to Design an OpenHarness Style Agent Runtime with Tools, Memory, Permissions, Skills, and Multi-Agent Coordination: In this tutorial, we build an OpenHarness style agent harness from scratch to see how a practical agent system works. We recreate the core building blocks: tool use, typed tool schemas, permissions, l...
How to Build a Credit Scoring Grid From a Logistic Regression Model: Turning model coefficients into a 0–1000 score, with risk classes and stability checks The post How to Build a Credit Scoring Grid From a Logistic Regression Model appeared first on Towards Data Scien...
Introducing computer use in Gemini 3.5 Flash: ...
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable: A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development. The post Your First Task as a Data Engineer in a New Company? Make the ETL Pipel...
Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead: A practical walkthrough using text-to-SQL as the example The post Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead appeared first on Towards Data Science....
16 Best Generative AI Coding Tools in 2026 Compared: Features, and Best Fit: Generative AI has reshaped how software gets built. What began as line-by-line autocomplete now spans full application generation, multi-agent build pipelines, and natural-language interfaces to entir...
Weight-Space Geometry of Offline Reasoning Training: arXiv:2606.23740v1 Announce Type: new Abstract: Offline reinforcement-learning losses (RFT, RIFT, DFT, Offline GRPO, DPO) are widely used to distill reasoning from large teachers into smaller student...
Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery: arXiv:2606.23757v1 Announce Type: new Abstract: Extracting interpretable governing equations from sparse, noisy chemical time-series data remains difficult because discrete reaction topology and cont...
Low-power analogue neural networks with trainable nonlinear connections for continuous control: arXiv:2606.23742v1 Announce Type: new Abstract: Physical neural networks promise low-power machine learning by computing directly with analogue device physics, but most architectures force nonlinear ...
A Survey on Federated Causal Discovery and Inference: arXiv:2606.23741v1 Announce Type: new Abstract: Causal reasoning, which encompasses the discovery of causal structures and the inference of causal effects, is fundamental to data-driven decision maki...
Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World: ...

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NVIDIA and AWS Collaborate to Bring AI to Production at Scale: Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that c...
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems: arXiv:2606.23927v1 Announce Type: new Abstract: Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decis...
Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs: arXiv:2606.23938v1 Announce Type: new Abstract: Driving VLA models incorporating Chain-of-Thought (CoT) reasoning are attractive because they leverag...
Critique of Agent Model: arXiv:2606.23991v1 Announce Type: new Abstract: What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems market...
Safe and Generalizable Hierarchical Multi-Agent RL via Constraint Manifold Control: arXiv:2606.24010v1 Announce Type: new Abstract: Multi-agent systems are widely used in safety-critical applications that require coordinated behavior...
Reinforcement Learning Towards Broadly and Persistently Beneficial Models: arXiv:2606.24014v1 Announce Type: new Abstract: As AI systems are deployed across increasingly diverse and high-stakes settings, model alignment must...
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search: arXiv:2606.23739v1 Announce Type: new Abstract: We present an automated large-scale search pipeline for heterogeneous 4-Expert Mixture-of-Experts (Mo...
: UC San Diego's DFlash replaces autoregressive drafting with a lightweight block diffusion model for speculative decoding. It drafts whole token blocks...

Daily AI Recap: June 24, 2026

Daily AI Recap: Jun 24, 2026

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