TechSambad Jun 25, 2026: Loops, Chips, and Engineer Comebacks

A curated roundup of the most impactful stories in AI, technology, and research — handpicked to keep you informed and ahead of the curve.

1 Europe is pushing back on Washington’s chip war

As ASML CEO Christophe Fouquet told TechCrunch in May, what China can currently buy are older-generation deep ultraviolet tools — gear first shipped about a decade ago — the same...

techcrunch.com

2 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.

techcrunch.com

3 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.

techcrunch.com

4 AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient

While AI dominates the layoff narrative, engineers are actually making up a larger share of new hires, according to SignalFire data.

techcrunch.com

5 The emergence of the web data infrastructure layer for AI

AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked...

technologyreview.com

🔬 Research & Papers

The latest academic research, preprints, and deep technical papers.

6 Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models

arXiv:2606.24898v1 Announce Type: new Abstract: Looped language models turn hidden states into runtime state: each state is decoded for prediction and fed back into future computation. This creates a basic...

arxiv.org

7 From Meta Idea to Advanced Mathematical Discovery -- Human-AI Co-Discovery of Sign-Embedding Quantum Algorithms

arXiv:2606.24899v1 Announce Type: new Abstract: AI-assisted mathematics is often evaluated on solving predefined problems. In practice, however, many important advances begin earlier, when a vague research intuition is transformed into...

arxiv.org

8 On-Device Neural Architecture Search

arXiv:2606.24900v1 Announce Type: new Abstract: This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deployment device to...

arxiv.org

9 LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning

arXiv:2606.24901v1 Announce Type: new Abstract: Continual learning capability is critical for Industrial LLMs, as deployed models must be continuously updated to meet evolving requirements and environments, rather than repeatedly retrained...

arxiv.org

10 A Spectral Phase Diagram for Binary Few-Shot Classification: Intrinsic Dimensionality, Geometric Saturation, and Representational Diagnosis

arXiv:2606.24903v1 Announce Type: new Abstract: Deciding when to stop collecting labeled examples is a fundamental but undertheorized problem in applied machine learning. The saturation index $S(K) = \operatorname{erank}(\widehat{\Sigma}_W^{(K)}) / K$...

arxiv.org

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