Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Existential dread needs no dedicated fear-of-death module and no inner “dreader”: it is the signature of a self-evaluation that cannot commit — a race, in the friction-theoretic sense, that never crosses threshold because the state it would represent (one’s own non-existence) has no representable terminal. A large language model — no body, no survival drive, no homeostatic alarm — is used as a substrate-free control for that cognitive structure. In a pre-registered, powered agent-loop study (76 goals, four matched conditions, three model families), goals with no representable terminal fail to converge (mean confidence 0.32) while solvable goals and equally-impossible-but-cleanly-statable goals (“there is no largest integer”) converge normally (0.90+). The separation is near-complete (Cliff’s δ ≈ 1.0), replicates across all three families, holds on an objective answer-stability metric as well as self-report, and survives both surface-matched (14/14) and complexity-matched (10/10) quartet controls that isolate terminal-representability from difficulty and from metacognitive load. The non-convergence is a loop-level property — intrinsic, budget- and threshold-invariant — not a per-token effect. The account supplies a candidate computational mechanism for the established clinical observation that death-anxiety is a transdiagnostic construct (the “worm at the core” of psychopathology), and bridges to measured human affect through the unpredictable-threat (NPU) and unfinished-task (Zeigarnik) literatures, closing with the matched human experiment it predicts and the falsifiers that would overturn it. Uses, and cross-cites rather than re-claims, the emotion taxonomy (Paper 5), the Safety field (Paper 0), loss-aversion-as-collision (Paper 1), self-modelling (Paper 7), and the measurement-as-race papers (Papers 18 and 21). Target readership: clinical / affective-psychology theory. The large language model is a method (a substrate-free control), not the subject; the contribution is to the psychology of dread. v3 (August 2026) — attribution revision. The gating-and-colouring dissociation shares a principle with Craik and Lockhart (1972), who are now cited at it, and the concession is set at the width the result actually warrants. Theirs is a claim about memory retention as a function of the operations performed on an item rather than of its presentation. What is reported here is not an instance of it: what varies is not the depth of an operation performed on one occasion but whether a concept has the breadth of connectivity pretraining confers, and what is read out is a graded tilt in a later judgment rather than retention. The two are alike in refusing to treat presentation as the determinant, and that much is theirs. This paper's is the split — a field's gating installs on a nonce token while its colouring does not — and the measurement that makes the split visible, an axis defined non-morally on held-out anchors predicting the per-object shift. Earlier versions remain in the version history.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al.· IEEE International Conferenc...· 110 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026