Update CV page and remove Publications section

- Remove contact info box styling in cv.md for cleaner display
- Rename "CV" to "CV & Publications" in navigation and page title
- Delete separate Publications page and integrate into CV page
- Add publication years to all references in CV
- Improve dark mode readability with lighter blue for bold text
- Update CV.tex to match website changes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: AllenGrahamHart

CV.tex

@@ -31,7 +31,7 @@ \section{Research and Professional Experience}
 \cventry{Present}{Innovation Research Associate}{University of Warwick}{Coventry, UK}{}{
 \begin{itemize}
   \item Algorithms and infrastructure for \textbf{vector similarity search}.
-  \item Developing Software for \textbf{battery optimisation}
+  \item Developing software for \textbf{battery optimisation}
 \end{itemize}}
 
 \cventry{2023--2024}{Research Fellow, Project Bluebird}{University of Exeter / Alan Turing Institute / NATS}{Exeter, UK}{}{
@@ -87,6 +87,6 @@ \section{Selected Conference Talks}
 % Service
 %----------------------------------------------------------------------------------
 \section{Service}
-\cvitem{}{Reviewer for: \emph{IEEE TNNLS}, \emph{Neural Networks}, \emph{Physica D}, \emph{Physical Review E}, \emph{Chaos}, \emph{SIAM J. Applied Mathematics}, \emph{Journal of Computational Physics}, among others.}
+\cvitem{}{Reviewer for: \emph{IEEE TNNLS}, \emph{Neural Networks}, \emph{Physica D}, \emph{Physical Review E}, \emph{Chaos}, \emph{SIAM J. Applied Mathematics}, \emph{Journal of Computational Physics}, \emph{Springer Nature}}
 
 \end{document}

assets/css/extended/cv-style.css

@@ -55,6 +55,11 @@
     font-weight: 600;
 }
 
+/* Dark mode adjustments */
+.dark .cv-page strong {
+    color: #7ab8e8;
+}
+
 /* Publication entries */
 .cv-page p {
     margin: 0.8rem 0;

content/ai-safety/_index.md

@@ -2,17 +2,17 @@
 title: "AI Safety"
 ---
 
-I believe that AI may be among the most transformative technological development in all of human history. It is plausible that over the next 10 years AI will automate all human knowledge work---jobs that can be done remotely on a computer. This would displace around 20% of the global workforce creating simultaneously an economic boom and extreme political turmoil. These economic events will be overshadowed by an intense arms race between the United States and the People's Republic of China to integrate the now superintelligent AI into every layer of each power's military supply chain. Every fighter jet, missile system, and sensor array will be under a furious optimisation regime by an army of AIs, and there will be considerable pressure from the two sides to win the race by any available means. 
+I believe that AI may be among the most transformative technological development in all of human history. It is plausible that over the next 10 years AI will automate all human knowledge work---jobs that can be done remotely on a computer. This would displace around 20% of the global workforce creating simultaneously an economic boom and political turmoil. These economic events will be overshadowed by an intense arms race between the United States and the People's Republic of China to integrate the now superintelligent AI into every layer of each power's military supply chain. Every fighter jet, missile system, and sensor array will be under a furious optimisation regime by an army of AIs, and there will be considerable pressure from the two sides to win the race by any available means. 
 
-The most consequential human job to automate, and perhaps the first that will be automated, is the job of the AI researcher. If this is acheived then the result will be an Artificial Intelligence that can recursively improve itself. There will be huge pressure to do this in an arms race scenario, despite the extreme dangers of a self improving superintelligence that is impossible to understand or control. Even if the technical problem of aligning the superintelligent AI to some particular set of values is achieved, the current political reality is that the extraordinary power of determining the values of the AI will be in the hands of either the Chinese President, the US president, or a CEO in the Bay Area. 
+The most consequential human job to automate, and perhaps the first that will be automated, is the job of the AI researcher. If this is acheived then the result will be an Artificial Intelligence that can recursively improve itself. There will be huge pressure to do this in an arms race scenario, despite the dangers of a self improving superintelligence that is impossible to understand or control. Even if the technical problem of aligning the superintelligent AI to some particular set of values is achieved, the current political reality is that the extraordinary power of determining the values of the AI will be in the hands of either the Chinese President, the US president, or a CEO in the Bay Area. 
 
-Though there are extreme dangers, a properly aligned superintelligence would create enormous improvements to health, technology, and human flourishing that we can scarcely imagine. Hence, I believe we should advance AI as much as possible under a program of international cooperation. I believe we need
+Though there are significant dangers, a properly aligned superintelligence would create enormous improvements to health, technology, and human flourishing that we can scarcely imagine. Hence, I believe we should advance AI as much as possible under a program of international cooperation. I believe we need
 
 - An international treaty to significantly limit the proliferation of AI with military capabilities, which must have commitments from the US and China, who are the current leaders in AI capabilities. The alternative is an arms race to superintelligence that neither side can control, which could provoke a preemptive war.
 
 - An international treaty binding governments, private companies, and other organisations working on the most advanced models to develop and deploy them according to some democratic process. The capabilities of AI to self improve should be monitored closely by outside parties.
 
-- Some careful consideration of how to prevent an extreme concentration of power where a very small number of players end up in control of a very capable AI system.
+- Some careful consideration of how to prevent an concentration of power where a very small number of players end up in control of a very capable AI system.
 
 - Careful consideration of how to prevent malicious non-state actors using AI to create biological weapons or conduct other kinds of terrorism
 

content/cv.md

@@ -1,5 +1,5 @@
 ---
-title: "Curriculum Vitae"
+title: "CV & Publications"
 date: 2025-01-18
 draft: false
 ShowToc: false
@@ -9,13 +9,8 @@ ShowToc: false
 
 # Allen Hart
 
-<div class="cv-contact">
-
-**University of Warwick, Coventry, UK**
-**Phone:** +44 7729 779596
-**Email:** allen.hart@warwick.ac.uk
-
-</div>
+University of Warwick, Coventry, UK
++44 7729 779596 | allen.hart@warwick.ac.uk
 
 ## Education
 
@@ -71,27 +66,27 @@ TutorFair, Ivy Education, UK
 
 ## Publications
 
-**Hart, A.G.** Generic and isometric embeddings in reservoir computers. *Chaos: An Interdisciplinary Journal of Nonlinear Science*, 35(11), 111103. [DOI](https://pubs.aip.org/aip/cha/article/35/11/111103/3370557)
+**2025** — **Hart, A.G.** Generic and isometric embeddings in reservoir computers. *Chaos: An Interdisciplinary Journal of Nonlinear Science*, 35(11), 111103. [DOI](https://pubs.aip.org/aip/cha/article/35/11/111103/3370557)
 
-**Hart, A.G.** Generalised synchronisations, embeddings, and approximations for continuous time reservoir computers. *Physica D: Nonlinear Phenomena*, 458, 133956. [DOI](https://doi.org/10.1016/j.physd.2023.133956)
+**2024** — **Hart, A.G.** Generalised synchronisations, embeddings, and approximations for continuous time reservoir computers. *Physica D: Nonlinear Phenomena*, 458, 133956. [DOI](https://doi.org/10.1016/j.physd.2023.133956)
 
-Grigoryeva, L., **Hart, A.**, Ortega, J.P. Learning strange attractors with reservoir systems. *Nonlinearity*, 36(9), 4674. [DOI](https://doi.org/10.1088/1361-6544/ace492)
+**2023** — Grigoryeva, L., **Hart, A.**, Ortega, J.P. Learning strange attractors with reservoir systems. *Nonlinearity*, 36(9), 4674. [DOI](https://doi.org/10.1088/1361-6544/ace492)
 
-**Hart, A.G.** Reservoir Computing with Dynamical Systems. PhD Thesis, University of Bath. [Link](https://researchportal.bath.ac.uk/)
+**2022** — **Hart, A.G.** Reservoir Computing with Dynamical Systems. PhD Thesis, University of Bath. [Link](https://researchportal.bath.ac.uk/)
 
-Grigoryeva, L., **Hart, A.**, Ortega, J.P. Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem. *Physical Review E*, 103(6), 062204. [DOI](https://doi.org/10.1103/PhysRevE.103.062204)
+**2021** — Grigoryeva, L., **Hart, A.**, Ortega, J.P. Chaos on compact manifolds: Differentiable synchronizations beyond the Takens theorem. *Physical Review E*, 103(6), 062204. [DOI](https://doi.org/10.1103/PhysRevE.103.062204)
 
-**Hart, A.G.**, Hook, J.L., Dawes, J.H.P. Echo state networks trained by Tikhonov least squares are L²(μ) approximators of ergodic dynamical systems. *Physica D: Nonlinear Phenomena*, 421, 132882. [DOI](https://doi.org/10.1016/j.physd.2021.132882)
+**2021** — **Hart, A.G.**, Hook, J.L., Dawes, J.H.P. Echo state networks trained by Tikhonov least squares are L²(μ) approximators of ergodic dynamical systems. *Physica D: Nonlinear Phenomena*, 421, 132882. [DOI](https://doi.org/10.1016/j.physd.2021.132882)
 
-Burridge, H.C., Bhagat, R.K., Stettler, M.E.J., Kumar, P., De Mel, I., Demis, P., **Hart, A.**, et al. The ventilation of buildings and other mitigating measures for COVID-19: a focus on wintertime. *Proceedings of the Royal Society A*, 477(2247), 20200855. [DOI](https://doi.org/10.1098/rspa.2020.0855)
+**2021** — Burridge, H.C., Bhagat, R.K., Stettler, M.E.J., Kumar, P., De Mel, I., Demis, P., **Hart, A.**, et al. The ventilation of buildings and other mitigating measures for COVID-19: a focus on wintertime. *Proceedings of the Royal Society A*, 477(2247), 20200855. [DOI](https://doi.org/10.1098/rspa.2020.0855)
 
-**Hart, A.G.**, Olding, K.R., Cox, A.M.G., Isupova, O., Dawes, J.H.P. Using echo state networks to approximate value functions for control. *arXiv preprint arXiv:2102.06258*. [Link](https://arxiv.org/abs/2102.06258)
+**2021** — **Hart, A.G.**, Olding, K.R., Cox, A.M.G., Isupova, O., Dawes, J.H.P. Using echo state networks to approximate value functions for control. *arXiv preprint arXiv:2102.06258*. [Link](https://arxiv.org/abs/2102.06258)
 
-**Hart, A.**, Hook, J., Dawes, J. Embedding and approximation theorems for echo state networks. *Neural Networks*, 128, 234–247. [DOI](https://doi.org/10.1016/j.neunet.2020.05.013)
+**2020** — **Hart, A.**, Hook, J., Dawes, J. Embedding and approximation theorems for echo state networks. *Neural Networks*, 128, 234–247. [DOI](https://doi.org/10.1016/j.neunet.2020.05.013)
 
-**Hart, A.G.**, Hansen, T.C., Kuhs, W.F. A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. *Acta Crystallographica Section A*, 75(3), 501–516. [DOI](https://doi.org/10.1107/S2053273319003789)
+**2019** — **Hart, A.G.**, Hansen, T.C., Kuhs, W.F. A hidden Markov model for describing turbostratic disorder applied to carbon blacks and graphene. *Acta Crystallographica Section A*, 75(3), 501–516. [DOI](https://doi.org/10.1107/S2053273319003789)
 
-**Hart, A.G.**, Hansen, T.C., Kuhs, W.F. A Markov theoretic description of stacking-disordered aperiodic crystals including ice and opaline silica. *Acta Crystallographica Section A*, 74(4), 357–372. [DOI](https://doi.org/10.1107/S2053273318003765)
+**2018** — **Hart, A.G.**, Hansen, T.C., Kuhs, W.F. A Markov theoretic description of stacking-disordered aperiodic crystals including ice and opaline silica. *Acta Crystallographica Section A*, 74(4), 357–372. [DOI](https://doi.org/10.1107/S2053273318003765)
 
 ---
 
@@ -110,6 +105,6 @@ Burridge, H.C., Bhagat, R.K., Stettler, M.E.J., Kumar, P., De Mel, I., Demis, P.
 
 ## Service
 
-**Reviewer for:** *IEEE TNNLS*, *Neural Networks*, *Physica D*, *Physical Review E*, *Chaos*, *SIAM J. Applied Mathematics*, *Journal of Computational Physics*, among others.
+**Reviewer for:** *IEEE TNNLS*, *Neural Networks*, *Physica D*, *Physical Review E*, *Chaos*, *SIAM J. Applied Mathematics*, *Journal of Computational Physics*, *Springer Nature*.
 
 </div>

content/llms-mathematics/_index.md

@@ -6,4 +6,6 @@ I am very excited to be working on a project to assess the capabilities of AI ag
 
 Large Language Models have matched or exceeded human expert performance on economically valuable multi-hour tasks (GDPval), with task time horizons doubling every 7 months since 2019 (METR). The models have won gold medals in the mathematics, physics, and astrophysics olympiads (Deepmind, OpenAI) and have started solving conjectures encountered in research (Godel Test). Though very impressive, these competition problems and conjectures are self-contained `small world' (Sutton, Big World hypothesis) problems that can be completed in a few hours, in contrast to a full research program that could span months or years, involves selecting research questions, filtering information from millions of books and papers, and embedding the results into a coherent narrative. 
 
-To assess the capabilities of AI on real research tasks we have built an agent that can autonously write entire pure and applied mathematics research papers, including coming up with its own research question. Our goal is to refine the agent further, and have its scientific output reviewed by domain experts across a variety of fields. This is an ongoing research project so that as the models improve we can measure the improvements of their scientific output.
+To assess the capabilities of AI on real research tasks we have built an agent that can autonously write entire pure and applied mathematics research papers, including coming up with its own research question. Our goal is to refine the agent further, and have its scientific output reviewed by domain experts across a variety of fields. This is an ongoing research project so that as the models improve we can measure the improvements of their scientific output. Our agent is available on github.
+
+https://github.com/AllenGrahamHart/LLMs-mathematics-research