Browse Category


Report Cards (2018 Review)

We are just over an hour into 2019 where I am (Singapore), though it is still 2018 in the UK. For me, the highlight of the year was probably receiving the VCLA Outstanding Masters’ Thesis award in August; the worst part of the year would probably be around April, when I had a month or so of doing primarily reactive tasks and managing technical debt. Nonetheless, every year will have positive experiences (hopefully) and negative ones as well; I’d say my main takeaway from 2018 is that optimisation can be dangerous if one picks the wrong variables.

I set some targets at the beginning of the year. While setting targets without subsequently revisiting them can already spur improvement, it’s useful to consider how one has performed as it informs drafting next year’s goals (in particular, figuring out what is realistic, and what would be too comfortable). The grading system I’m using here is similar to the OKR system – each task receives a score between 0.0 and 1.0, and a straight success (with no extensions or bonuses) scores 0.7. For quantifiable tasks, I usually do a pretty straightforward linear interpolation with zero at 0.0, and 10/7 of the target at 1.0; usually a 1.0 means that the goal either wasn’t ambitious enough, or the relevant area became more important during the year.

A1: Software Engineering: 0.5

Not quantitative. Progress this year, while significant, felt largely incremental (which is maybe unsurprising as I’ve been focusing on similar work in terms of distributed systems and back-end performance).

I’d say most of the “progress” here is in the form of a considerably more principled approach to pursuing performance improvements and building new features. It’s difficult to evaluate improvement in Java skills; I spent some time this year studying Java performance (especially garbage collection algorithms and concurrency). There were a few bugs I remember this year where Java Memory Model knowledge was useful, which I wouldn’t have known as well this time last year.

A2: Logic in Computer Science: 0.9

The original goal here was arguably quantitative, in that it was to present one paper at a logic conference. This was presented – see this AAMAS18 page. I decided to bump the score up from 0.7 to 0.9 as a somewhat related highlight of the year was receiving the VCLA Outstanding Masters’ Thesis award for my work on MCMAS-Dynamic. This was mostly based on past work, though I had to write up a summary of the work that had been done.

This target was intentionally not too ambitious. I do want to finish up one more paper from the thesis – I think four is about the limit of where we can take this (the third paper already had a decent amount of original content) but I don’t anticipate presenting that until possibly 2020.

A3: Innovation in Engineering: 0.7

The goal here was to get two patents in the pipeline, and this was achieved exactly. There might be a third coming from my winter hack-week project, but I prefer not to count things that aren’t done yet.

This goal was conceived as an alternative to the pull-requests goal I had in 2016, as I find a small number of substantive changes to usually be far more motivating than many smaller incremental changes. (A possible danger of this is that I might discount the value of said incremental changes too much!) I’ll probably keep some version of this in 2019, as I find this kind of innovation enjoyable and motivating.

B1: Writing and Blogging: 0.4

The goal was 52 and I think this puts me on 27; I’ll be generous and round up. It seems a weekly schedule is pretty challenging, particularly around holidays and busy periods at work. I do still want to maintain somewhat regular updates here, but a lower target (40, perhaps, to allow for some of these) could be more reasonable.

B2: Travelling: 0.3

The goal was to visit 12 countries, considering the UK as my home base. I’m writing this from Singapore, and have also visited Switzerland, Germany, Norway, Sweden and the US, so this puts me on 6. That would be 0.35 – this rounds to 0.4 by standard conventions, but I’ll round down considering how work-dependent most of these trips were. I do enjoy visiting new places and learning more about them; however spending time with friends and family is also important to me, and in some ways travel allows me to do that. I think some kind of travel-related goal is likely to feature next year, though I’m not sure yet what form that should take.

B3: Walking: 0.7

The goal was to walk an average of 10,000 steps per day. I’m at 10,131 and I can add one more to that average for every 365 steps I walk today. Bumping this to 0.8 would require 213,160 steps today, so I’m fairly confident 0.7 is right.

I commute to and from work by walking most of the time. This provides a form of exercise and also saves money on transport (tube fares in London are expensive). That accounts for around 7-8,000 steps; the rest are accumulated walking around the office, or on weekends exploring. I don’t think this was sufficient in terms of physical fitness.

B4: Music: 0.5

There is some progress; I’m able to hit Bb4 quite a bit more consistently than I used to, but B4 remains difficult and elusive. I came across Meant to Be this year and attempted to sing it – I can just about manage the song (including the female vocal line) which requires consistent Bb4; trying it at a +1 key has not worked. I would not have been able to land consistent A4s even at this time last year, so the improvement could be considered as two semitones out of three.

C1: Gross Savings Rate: 0.8

The goal was a gross savings rate (Savings Rate #1 in this post from Early Retirement Now) of 50 percent, and this ended up at 54.2 percent for this year. I think this is good given that UK taxes can be quite high. This is a difficult chord to play, as one needs to determine how to discount future utility from money put into savings and investments. I think this was slightly higher than expectations.

C2: Minimum Income Standard: 0.8

The goal was to have non-housing expenditures of at least £10,800 for the year; this reached £12,000. This may seem somewhat antithetical to C1, though the issue with savings rate is that higher isn’t necessarily better; I’d prefer a sufficient budget at SR 50% over a tight one at SR 65%. It’s also not impossible to score highly on both goals (by earning more).

D1: Communications and Maintenance: 0.6

This goal is non-quantitative. I think I’ve made reasonable efforts to keep in touch with friends from both Imperial and Singapore. For the most part this has gone well, though there have been some lapses where I haven’t been as responsive as I’d have liked, hence just under the target sounds about right.

2018 in Graphs and Charts, Part 1

When most people think of graphs, they would probably think back to mathematics lessons in middle or high school, where it typically refers to a plot of how quantities change in relation to one another. Graph sketching was for some reason a large part of the university admission process for mathematics and computer science related courses, even if many of the curves that candidates were tasked to sketch could be approached in a rather uninspired algorithmic way.

There is a looser definition, which is closer to what I’d call a chart, which is a graphical representation of data. Some people do say things like “line graph” or “bar graph” (interestingly, “pie graph” is rare).

Moving away from mathematics and data representation, a graph also refers to a glyph or character in terms of typography, leading to terms like digraph for pairs of letters that make a single sound, though I don’t think usage of the term by itself is common.

As a software engineer, there is a fourth definition – a graph is also a structure comprising a set of nodes and a set of edges that connect these nodes. This structure is very useful for modelling many things with network-like structure, such as in communications, path-finding, or reasoning about state machines. You could say the core of my Masters’ thesis about MCMAS-Dynamic was a novel algorithm for exploring certain types of graphs quickly; one of what I’d call my flagship projects at Palantir also revolves around graph algorithms.

There is a risk of shoehorning all kinds of problems as problems solvable with graphs, in this sense (I remember some jokes I had with a couple of friends at university on trees, a specific subset of graphs, applying to everything). Nonetheless, graphs are very useful. I’ll use both the computer-science graphs and the looser ‘graphical data representation’ as I recap some of the things that I did (or happened to me) in 2018.


There was quite a bit less travel this year, and you could say the destinations involved were maybe a little less exotic (though I still maintain that the trips were good). One thing this map doesn’t quite show is the frequency each route was taken (though looking at this it seems that each path was actually taken once; I’ve made two trips to Singapore, one through Frankfurt and one direct).

I think most of this is just a decrease in travel for work, which was lower than normal. Leisure travel remained about where it has generally been (a total of 32 days this year, though that does include quite a few weekends). I don’t know if this is because of Brexit making my pounds buy less meaning I’m less likely to think about travelling. This could be relevant to the US or Zurich, but not necessarily elsewhere where the cost of living tends to be lower. Writing this, I remember my restaurant-quality six-euro dinner in Croatia…

Going forward, I hope to have a more interesting graph/network in 2019. Hopefully Brexit won’t get too much in the way of that – you might think that as a Singaporean I won’t be directly affected, but I will be. The pound might depreciate, making overseas travel expensive, and the length of the non-EU queues might increase. There is also talk of the Schengen version of ESTA coming up as well.

Logic Puzzles

I joint-set one of the puzzles for Palantir’s 2018 puzzlehunt, and have also been doing quite a few logic puzzles, including sudoku; I placed pretty decently at this year’s UK sudoku championship, and a bit more weakly in the puzzle division. Considering puzzles more broadly, they can be classified into a variety of types. Sudoku probably counts specifically as its own class, but there are also more general ‘number placement’ puzzles – you might have heard of Kakuro. There are other genres – ‘loops’ like Slitherlink; ‘object placement’ like Battleship and ‘shading’ like Nurikabe, among others.

I had the impression I was substantially better at sudoku than most general puzzles (a good chunk of this might just be experience-related), and probably better at number placement too. Conversely, I always struggled a lot with spatial reasoning in school and at Math Olympiads, so I thought my skills with loops would be weak.

One of the sites that hosts these puzzle contests is Logic Masters India. They ran a series of puzzle contests in 2015 that were split by genre. They also have a rating system, to facilitate comparison of skill across contests. A player’s overall rating is an aggregation of rating events; the computation of this aggregation is a little complex, but figuring out the score at an individual rating event isn’t too hard.

  • An event has a raw score, computed from individual puzzles – raw scores are compared to determine overall ranking.
  • Define ranking score (RS) as one’s percentile performance in the contest multiplied by 10. In other words, the top contestant scores 1000, and the median contestant scores 500.
  • Define point score (PS) as the ratio of one’s score relative to the top scorer, multiplied by 1000. The top scorer thus scores 1000; someone who scored half as much as the top scorer scores 500.
  • The overall rating score is a weighted average of the two: 0.75 * RS + 0.25 * PS.

I tried out each of the contests in the set, along with a sudoku contest, and calculated my overall rating scores for each, which are reflected in the graph above. Expectedly, sudoku is strongest (experience, probably). I didn’t realise drawing snakes was considered a genre by itself, though given it is I knew I would be terrible at those as I usually approach those with mainly intuition. I don’t know what the intended standard deviation of ratings are, so it’s difficult to comment on the significance of the differences.

Stock Market

The price over time of a security is a good example of a time series. This naturally lends itself well to a line graph, with price as the vertical axis and time as the horizontal axis.

One can similarly graph the size of a portfolio; the above reflects the value of my workplace pension, re-based to 100 at the start of this year. However, this is for the most part only sampled monthly (or sometimes bi-monthly, depending on whether there were other events that made me look at my portfolio), so the resolution of the data is very limited.

This year has (and it’s good) reminded me why there is an equity risk premium. Consider that a zero-growth environment would mean a straight increasing line, as additional contributions are coming in. Hence, the small decline from January to February or stagnation in October actually refer to periods where the market went down; the steeper-than-normal gain in May and August refer to periods where the market went up. This makes a fair bit more sense if one also looks at the performance of an accumulating world index tracker.

Source: Morningstar. Disclaimer: I do hold as part of my portfolio the Fidelity World Index P fund.

As expected, prices slumped in February and October, while rallying in May and July. Interestingly, there is a rather pronounced late-March to early-April decline that isn’t reflected in our original graph. This is an artifact of sampling – the March reading was taken on the 21st of March, and the April reading on the 23rd of April, by which time prices had already mostly recovered.

That One Thing (2018 Q3 Review)

Monomania refers to a mental disorder where one pathologically focuses on a single thing (naturally, at the expense of others, as one’s attention is limited). To some extent, I may have experienced this in my second year at Imperial, where for some reason I became fixated on my academic performance. I remember studying almost 100 hours per week when preparing for my exams then (typically achieved by a very strict 9am-11pm schedule everyday for about five to six weeks). I’m not sure how I managed at the time. In terms of grades, I think one should aim at 60 + epsilon, 70 + epsilon or 100, and I chose the last of these.

Things have changed since. I now evaluate how things have changed over a variety of facets. Even professionally, the metrics are a bit more multi-dimensional now. I’m not sure if it was the Palantir internship or something else, but in fourth year I made some decisions that clearly weren’t optimal as far as academic performance was concerned (working 15-20 hours a week). At that time, my main goals were get an average of 90% and submit twenty pull requests as a part-time software engineer. After I graduated the metrics became writing papers and pull requests; the latter quickly changed to patents as, all other things held equal, I find developing two or three innovative systems far more interesting and probably more meaningful than fifty rudimentary changes.

In terms of development, I’ve certainly found my recent work to be challenging (which is a good thing!). I’ve been continuing my focus on performance work, though now that many easy wins have been taken the features are getting more complex. I’m also starting to have more clarity on the kind of work that motivates me (and discussing this with my lead and others); having such discussions feels relevant and good.

I presented the LDLK on finite traces paper at AAMAS’18 (and it seems I now have a h-index of 2). It’s unlikely there’ll be another conference paper for a while though, as I’m currently diverting my computer-science energies towards writing a journal paper which summarises and extends the three conference papers to some extent.

A highlight of the quarter was receiving the VCLA award for an outstanding Masters’ thesis as well (Imperial article). In terms of raw computer science difficulty, MCMAS-Dynamic is probably the most complicated project I’ve delivered (there are a couple I’ve done since that I’m also proud of, but I’m pretty sure MCMAS still wins). Some recognition is always nice; too much ego-stroking can be unhealthy, but the odd bit is enjoyable.

In terms of finance, I didn’t really pay much attention to things this quarter. I was aware of the Turkish and Argentinian currency troubles as well as the US-China trade spat, but things on my end are still largely business-as-usual. In fact I thought this quarter was not going to be good, but looking at things it’s largely an effect of recency bias; while performance in September was indeed weak, July and August were actually very good.

Disclaimer: I hold my own portfolio, which includes the Fidelity index, VLS 80, iShares emerging markets fund, the REIT, the inflation-linked gilts fund, BTC and USD.

The high expenses of Q2 have actually snowballed further in Q3, though most of this is explainable by six-month periodic expenses and booking travel for the end of the year. Discretionary expenses have actually fallen a fair amount, which is unsurprising as Q2 expenses included Stockholm travel as well as renewing my web server. Savings rate is down, though still on track to be in a good place this year.

Work on dealing with logical puzzles has continued, and I think I’ve managed to find a source of metrics; Logic Masters India has a good selection of past contests along with a rating system. Based on a few of these, my Puzzle skills are currently around the low to middle 600s, while my Sudoku skills are in the high 700s. Individual contests may vary in difficulty, so normalisation is used. Interestingly, this is done on two axes, comparing both one’s score relative to the top scorer and one’s ranking relative to all participants.

I’ve also started to take an interest in cryptic crosswords, though I’m certainly nowhere as competitive at these; my general knowledge is not sufficiently broad. “Logical puzzles” are designed with the intention of being culture-neutral; these often demand a wide vocabulary (which I think I have) and broad general knowledge (less so). It helps that there is a group at Palantir that attempts these recreationally; I’m not aware of a similar group for general logic puzzles.

When one is investigating a search problem, one typically needs to balance exploration (searching prospectively for additional solutions) and exploitation (locally refining good known solutions). Historically when managing my own decisions I’ve largely been pushing exploitation for quite some time. I first discovered an interest in mathematics when I was around six; while this isn’t quite computer science or software engineering, that was near-by. I started programming at 15, and when choosing my degree looked at CS which I felt balanced my interests, skills and prospects well. When I was at university, I had the aforementioned monomaniac episode; since then I’ve branched out a little.

I’ve been behind the times (the song was released in 2017, apparently), but I’ve been listening to Meant to Be (Bebe Rexha and Florida Georgia Line) a fair bit this quarter. I don’t particularly enjoy the vocals in the original, but it’s been covered well; this one is better polished, while this one has the approach I go for when I try to sing it!

It’s enjoyable for me to (try to) sing along to, including the high vocal line in the chorus; it quickly becomes a question of hitting the tenor Bb4 repeatedly. Listening to the song certainly does make me thing of search space exploration problems, specifically genetic/evolutionary algorithms. The lyrics in the chorus sound very much like evaluating a fitness function on a candidate solution and then deciding whether to accept it:

So won’t you ride with me, ride with me?
See where this thing goes?
If it’s meant to be, it’ll be, it’ll be; baby if it’s meant to be.

The first verse has elements of not being too pressured with exploitation as well, and thematically echoes bits of Good Things Come To Those Who Wait which I looked at last quarter. The second verse reflects a degree of caution after being burned by poor approaches in the past. As I plan for what I might want to try to achieve (God willing) on a timescale of months or years, it’s important to not index too heavily on past experiences or initial reads of how a given path may turn out.

Tactics and Strategy (2018 Q2 Review)

I generally interpret strategy to refer to thinking about broader goals and general approaches for achieving these goals; conversely I think of tactics as finer-grained methods for effectively completing smaller tasks (that hopefully contribute to fulfilling one’s strategic goals). As a software engineer who works with databases, strategic concerns could be “the database should be able to serve requests quickly”, or “you shouldn’t be able to shoot yourself in the foot too easily”; tactics could involve using B-trees or clever data structures, or being careful about what APIs one exposes respectively.

For individual endeavours and also at work, I often need to play both a strategist and a tactician. I’m responsible both for determining what to seek at a high level and for implementing the required steps. There’s some tension in devoting resources towards getting better at either of these; I’d say the skills are certainly distinct (though not independent; good strategic thinking requires knowledge of what may be tactically plausible, and one should implement suitable tactics to optimise for outcomes that one strategically favours).

Strategically things have been a bit foggy this quarter. To some end there has been progress in terms of general quality as a developer, at least by some metrics. Getting better technically is good, though it seems to have been more of a focus than I remember prioritising it to be.

I have to some extent been struggling to find satisfaction in things, as well (there was a very relevant series of sermons on contentment in church – but practical application is often much harder than theory). I think some of this was a change from working with a preponderance of ‘shiny’ features leading to patent applications or other forms of explicit external recognition. I even forgot about some features that were clearly valued by other teams or people until they reminded me that I wrote them when discussing what I’d been working on in general!

Outside of work, also, I need to find strategic direction (there hasn’t been very much). With regard to computer science, I need to think where I go from here. AAMAS’18 in Stockholm is coming up and I’ll be presenting there about model checking LDLK on finite traces. This paper was very challenging to write; differently from the first two, I actually had to develop a substantial amount of novel content. I found myself guilty of excessive handwaving in the original proof presented in the thesis – there was a detail which I claimed to be trivial that turned out to require a full column of argument! I also have one more paper to write. I’ve also not been doing as much independent study of both computer science and software engineering as I would like.

In terms of finance, one of the good things about index investing is that there isn’t that much to do once the system is set up. There’s even less if you’ve automated some of the workflows (as I have)! After that, much return is subject to the random walk of the markets – with the (I’d say justified) belief, of course, that that walk trends upwards. The main ‘action’ required then is to stay the course, which requires patience and persistence.

Markets have been a bit of a mixed bag. Equities have gone up a lot apart from emerging markets, but a good chunk of this is likely to be currency effects as the pound fell hard. The usual table follows:

(Disclaimer: I hold the Fidelity World Index Acc, Vanguard LS80, iShares EM index, iShares property index, BTC, GBP and USD in various quantities, among other things.)

Spending has exploded (well, relatively) this quarter. Some of this is due to periodic expenses with a period greater than three months coming in in this quarter – renewing the servers and domain name for this website and brokerage fees. There is also some (I’d say permissible) lifestyle inflation too – frugality or cheapness to the detriment of daily happiness is usually not something worth doing unless one is forced into that position.

My budget also has a category called ‘Learning and Development’, which includes books for reading and fees for various educational activities (such as conferences, lessons, exams and the like). This swelled in Q2. I haven’t been reading substantially more. Most of this was the fees for AAMAS’18, FLoC’18 (more logic!) and music lessons.

I’ve made a conscious decision to spend more time outside of work on various recreational pursuits (even if the precise details of these aren’t clearly directed). I’ve gotten faster and better at solving logic puzzles and Sudoku; it’s difficult to come up with clear performance metrics, but I’m usually able to score in the 70th percentile or so in online contests, and can occasionally squeak into the 80s in broader contests (where the average skill level is slightly lower). I know that I was in the 20s or 30s when I first started trying these. I ranked 42 of 157 in the UK Sudoku Championship 2018, and less impressively 50 of 141 in the UK Puzzle Championship 2018.

I’ve continued writing here – a bit less frequently than I would like, admittedly. I also had my first vocal lesson in about three years or so – it’s good to be back. To some extent I strive for quality in what I do, even in recreation (I told my teacher “I enjoy sounding good” – I didn’t go as far as “I only enjoy it if I’m sounding good”, though that’s probably more true than I like to admit…)

I traditionally feature a song I’ve listened to a lot over the quarter in these reviews; I’ve done this for about five years now, and it can be interesting to see what I was listening to several years ago. In many cases I liked most of the songs then and I still do now; I tend to select quite heavily for a meaningful message or idea, and I like to think I’m quite resistant to faddish qualities in songs.

I first heard this song on a plane (like many others!) when flying from London to Singapore for a one-week vacation in May. I have listened to a couple of songs by the British boyband The Wanted before. One of their heavier pieces, Warzone (about leaving an abusive relationship) featured in my 2014 Q2 review, where I decided the 90- and 100-hour weeks I worked then were a bit too much of a cost. I also quite like Chasing the Sun, and a couple of their album-only tracks as well.

Unfortunately, the band dissolved a few years ago. They weren’t quite as successful as One Direction, so as far as I know only one member, Nathan Sykes, has continued with a solo career. I didn’t actually know this until I came across his new album Unfinished Business (yes, quite apt). The opening track is titled Good Things Come To Those Who Wait. It reminded me a fair bit of James Arthur’s Back From The Edge both aurally and thematically.

The second verse is relevant to some issues I’ve been thinking about this quarter:

Some people run and fall
They don’t even walk at all
There’s nothing to prove, just to feel you exist

It’s important to balance aggressive implementation (“running”) with careful evaluation of whether what one’s implementing is relevant to what one wants to do – especially if the path ahead is unclear. In some cases, it can be better to move more slowly and carefully.

The last line sounds weird, but in context is a reason why the speaker takes his time with things. The converse of feeling a need to prove oneself to others is understandable. I do fall into that trap sometimes, though I know it can be a dangerous thing to do.

More generally, the idea that good things come to those who wait can be contentious. I think it depends on what kind of waiting is involved – waiting to strike when opportunity arises is great (which I think is the point of the song – “I prefer to stick when the others would twist”), but idle, muddled waiting might not work so well.

As far as the album is concerned, I also found I Can’t Be Mad to be excellent. There were also a number of other good songs; I think it was a reasonably strong offering.

Irreversible Changes (2018 Q1 Review)

When I was a student, the academic year was a rather friendly source of periodicity in doing reviews. The ends of the various academic terms lined up reasonably well with Q4, Q1 and Q2 reviews, and a Q3 review was typically reflection about what I got up to over the summer. I don’t think there has been a single large and direct visible change in my circumstances compared to that a year ago. I can see how under such conditions, days and weeks may all blend together into a mush of time. Of course, one can argue that there are still other distinctive events; there are obviously the seasons in weather terms, and also other cyclic patterns (e.g. college recruiting season with high interview volume, winter holidays).

In terms of development, while quantifying growth is always challenging I like to think that I’ve started to see some distinct improvements this quarter. I’m basically the product owner of a rather small but absolutely platform-critical service, and have also started driving some tasks that involve cross-team coordination. The computer-scientist part of me is also satisfied; a paper on model checking multi-agent systems against LDLK specifications on finite traces received an acceptance at AAMAS18, and there is another patent going into the pipeline. Referencing the goals I set at the beginning of the year, performance is along the lines of 0.7 for growth as a developer, 1.0 for paper submission and 1.0 for patent submission (not achieved yet, but more than on track).

I have been spending quite a lot of time on work, and I noticed that I’ve been sleeping more as well – I’m not sure why, but it’s crept up from about 7 to 8 hours pretty consistently. Some of this might be stress-related and some of it might be owing to the colder weather, though I can’t quite put my finger on it.

In terms of skill development, I’m generally slightly behind my desired pace in the various disciplines I considered at the start of the year:

  • This is the ninth post I’ve written this year (interpolation: 13).
  • I’ve only visited Singapore and Switzerland so far this year (interpolation: 3).
  • I’ve walked a daily average of 9,578 steps per day (target: 10,000).
  • I don’t have metrics for singing. I can sing B4 most of the time nowadays, but haven’t focused my efforts on developing a strong upper range to a song in particular. Interestingly my lower range seems to have weakened a bit – I used to hit E2 rather easily, while now it’s a stretch.

Financially, the markets haven’t been the smoothest.

I guess this is my first significant paper loss. I easily stayed invested and even bought more through both the corrections in mid-2015 and early 2016 (e.g. considering VWRD, a USD-denominated Vanguard world stock ETF, these were drops of 13.8% and 10.9% respectively). This time around, VWRD has “only” shed around 9.5%, so it’s not even a technical correction yet. I don’t explicitly hold VWRD, but it’s likely that my portfolio has fallen by a similar amount – except that that’s actually months of income now. There is a price to pay for that equity risk premium.

In terms of friendships, most things have been ticking over acceptably well; I guess stability here is a good thing, and that for the most part has been the case. Some bumps, but nothing out of the ordinary.

I’m very aware that I’ve been spending a larger than normal amount of time this quarter thinking about philosophy and planning, mainly along what direction I’d like to take myself in. Rather expectedly, I find this more mentally taxing than working through even the nastiest and most technical parts of my Masters thesis. I don’t quite have answers yet – and even if I did, my thoughts might easily shift given a day or two (or suitable events).

This quarter, I’ve been listening to “These Days” (Rudimental with Dan Caplen, Jess Glynne and Macklemore) a fair bit. While there are parts of the song that feel a bit formulaic (the progression in the first part of the chorus, in particular), I nonetheless enjoy listening to it. It’s also fun to sing along to, with a fairly broad vocal range and numerous runs, falsetto flips and tough notes to belt out (the middle of the chorus). The song discusses a failed relationship, though all speakers seem to have accepted its failure, and express hope that they may make the best of the situation going forward.

Three years of ups and downs, nothing to show for it now
And I know it ain’t pretty when the fire burns out

I find that the idea also works well unilaterally – having failed and/or aborted ventures is fairly normal (one could argue that a complete absence of failure correlates well with not setting one’s targets to be sufficiently ambitious). Failure does hurt, especially if one has invested lots of effort in pursuing something. Nonetheless, reaching this point implies coming to terms with one’s failure, which is a very good step.

Highlights and Lowlights (2017 Review)

I did four reviews at the end of each quarter (see: Q1, Q2, Q3, Q4). Typically, I link each of these reviews to a song I’d been listening to a lot during the quarter. This is usually based on whether I empathise with the singer’s persona, as I find these more ‘sticky’ than merely good instrumentals or well-executed pieces. For a quick recap, the songs were:

  • Q1: “Back from the Edge”, James Arthur
  • Q2: “7 Years”, Ben Schuller (this is a Lukas Graham cover)
  • Q3: “Mercy”, Shawn Mendes
  • Q4: “Back to You”, Louis Tomlinson and Bebe Rexha

This selection makes it seem like it’s been a rather turbulent year. It has been, but looking back on things I think it’s certainly been decent enough too. Of course, variance and volatility don’t necessarily imply growth, but it certainly feels like the problems and struggles I’ve had have been beneficial. Here’s a quick rundown of some of the more notable things that have happened to me this year.

Commuting on Foot

I started walking to and from work instead of taking the tube. In an earlier post, I calculated that I was being paid an effective wage of £27.59 an hour to do this. I think I kept up with this through most of the year; that walk while initially taxing feels quite normal now. It’s a good bit of morning exercise for me to clear my head before starting work, and I find it a convenient time to call home too. Furthermore, the amount of money saved is quite substantial; I’d imagine I’d spend £126.80 a month for the monthly travelcard, but in practice my monthly transport expenses are more in the range of £20, so that’s an extra £1200 per year.

To be fair, I’ve noticed that I’ve worn through shoes much quicker this year (the route is about 2.5 km each way), so maybe depreciation should additionally be factored in to the cost. Even then, I’ve been disciplined about intelligently shopping sales for walking/running shoes; I’ve spent less than £100 on shoes this year, so factoring that in we’re still looking at more than £1000 in savings.

AI Down Under

I took two weeks out in late August to present at IJCAI 2017 in Melbourne, Australia (plus a short holiday, and a stop-over in Singapore). I do have a bit of a soft spot for pure, hard theoretical computer science, and this certainly allowed me to show off some of that. Besides actually giving the LDLK talk, the non-technical programme was also very interesting; I managed to meet quite a number of interesting researchers whom I only recognised from their papers, there were a variety of interesting venues, and there was also an exhibition where some robots attempted to compete in football.

My own non-technical programme was great too – I enjoyed touring parts of Melbourne, the hotel (the Crown Metropol) was very comfortable, and of course returning home was good, even if only for a short while. The 24-hour flight was pretty intense, but there wasn’t really a compelling alternative.

Greed and Fear

Cryptocurrencies are, of course, a highly volatile asset class. I’ve been maintaining modest long positions in a couple of them; the extreme swings have certainly highlighted the presence of these ‘primal forces’; while I did buy into BTC under $5000, there’s a part of me that’s still a bit miffed that I didn’t initiate a larger position then. I extracted my cost basis at $17000 and will probably let the rest ride.

In total, my portfolio gained about 18 percent this year. I’ve never actually been through a bear market (well, at least with a large investment holding). There was the correction in early 2016, but my portfolio is substantially larger now. While I’m of course familiar with Buffett’s well known hamburger analogy – since I’m a net buyer of stocks I should be happy when they go on sale – I’m in a position where I could at least on paper lose half a year’s salary if things get ugly (or even more – during the Great Depression, stocks crashed by roughly 90%).

Cross-Border Connections

It has been more than a year since my cohort at Imperial graduated. The one-year mark is significant for a few of my friends, because one year is a common requirement for intra-company transfer visas (at least in the UK and in the US). I’ve also had friends who started outright overseas (much like what I did). Keeping in touch has been somewhat tricky, especially bearing in mind timezones – but I think it has been going fine.

I’m starting to see what I thought was the most likely scenario as far as maintaining these connections post-university pan out. I got pretty stressed last year thinking that it would be difficult to keep these ticking over. I’m aware I have a tendency to inaccurately amplify small risks, and this turned out to be the case here.


I always had a bit of skepticism about 24-hour hackathons whilst in university (bad work practices, too many flashy demos without actual reasonable implementation); that said, I do like the concept of hack weeks and have participated actively in every one of them that’s been on whilst I’ve been at Palantir. Five to nine days is long enough that people aren’t generally going to be working too unsustainably (though I have certainly felt the burn from pushing hard on these – even then it’s 80 hours a week hard, nothing near 168). I’d definitely classify the hackweek we had in summer as a major highlight of the year, and the one in winter as something nice too.

It’s a nice occasional reminder of the ‘core’ parts of my job I like (that said I do also enjoy interviewing and tech-talks). I enjoy many of the projects I do for these hackweeks because I get to apply fancy CS things that I’ve read about or otherwise worked on while also testing my engineering and rapid-iteration skills. There is a claim that if one wishes to go fast, one should go alone; if one wishes to go far, one should go in a group – and while the hack-week form of many of the things I’ve worked on doesn’t make it into production, the rush of rapid development is exciting and some form of what I work on tends to, indeed, make it to production.

Inverse Boiling a Frog (2017 Q4 Review)

Q4 hasn’t ended yet, but this will probably be the last post I write before doing a more general overall review for the year.

There’s a part of me that looks back at Q4 and complains that there hasn’t been much growth or development at all; stacking this with the opening thesis of the Q3 review, it’s very easy for me to be harsh on myself for all this.

Some of this is because much of the improvement has probably been gradual – there weren’t large one-shot spurts and/or reminders that progress was being made, unlike in Q2 (which had a strong hackweek project and a paper acceptance at IJCAI, for instance). I can find it easy to discount growth as I don’t always remember difficulties experienced in the past that clearly. Nonetheless, it’s well known that the aggregation of marginal gains can and often does deliver big wins over time. Although the period does not feel like it was a high-growth period, looking back 4 or 6 months does reveal several larger differences in terms of knowledge about AtlasDB, Java and other projects at Palantir too. It’s kind of an inverse to the often told story of a frog being boiled alive.

The GitHub pull-request count for this quarter is 21, which is a significant drop from previous quarters (we were at 30 in Q3). Some of this is because I’ve spent more time reviewing others’ code; some of this has been looking at development work elsewhere too. Other professional goals have been going reasonably well too, and usefully I now have concrete things to think about as far as growth is concerned.

On the academic front things have quietened down a little. We’ve written and submitted another paper, but after this the next target would probably be a journal paper (there isn’t really that much more material in the thesis, unfortunately!). This was probably the hardest paper to write, mainly because it was based on the last part of the thesis and I waved my hands a lot in the original proofs I wrote – these needed to be formalised, and some of this formalisation was difficult!

Financially, at least up to this point in the year, things seem to have gone well, maybe even too well. The REITs (even though global) and expectedly the bonds have been slowing things down a bit, but I guess that’s the price one pays for diversification. I remember reading an article on the Permanent Portfolio on Monevator that claimed that many investors fail to diversify into assets that actually have negative correlations.

(N.B. I hold the JK portfolio, of course, and also the Fidelity world index, LS80, iShares property fund, BTC and GBP.)

There is a more complete visualisation of the performance of varying asset classes called the Callan periodic table – I think what spooks me somewhat is seeing everything in the black (well, at least in nominal terms; in the UK at least cash in large quantities would probably fail to deliver above the roughly 3 percent inflation we’re dealing with, and the 1.8 percent from the property fund is clearly below that too).

Spending this quarter was fairly normal. It was higher than a real base-line level, though mainly because I decided to splurge a little to exploit some Black Friday deals when I was visiting Palo Alto. Food expenses – specifically eating out with friends went up significantly this quarter too. December also always tends to be spendy, for various reasons (birthday, Christmas…)

Looking at comms, things have gone pretty well this time around. As always, there are a couple of lapses, but I’ve been able to dedicate time to coordinating meetups, and done this quite a few times.

Last quarter I mentioned that I find that I have an inner voice that tends to berate me for underperformance, though the standards said voice sets are often too high. I’ve started thinking a bit more around the rationale behind said high standards, though. Think of it as moving from “why are you failing to save 70 percent of your income?”, or “why aren’t you working a 65 hour work week?”, say, to “why do you want to save 70 percent of your income?” or “why do you want to work a 65 hour work week?”. Back in university, these targets were often natural consequences of regular work for me – I like to do things well, generally – and so I’d easily accept “because it’s hard” and because it was in general alignment with my goals at the time. In the long run, however, it’s probably a bad idea; the cost is real. It’s a powerful tool, and I do recognise the drive it provides as far as improvement is concerned, though.

In a sense, while I still seek relief and mercy from the criticism of said inner voice (as in the Q3 review), I’ve also started questioning its purpose while still trying to appreciate its importance as far as overall personal development is concerned. Killing this perpetual hunger for continuous improvement would be a bad idea, so…

I love it, I hate it, and I can’t take it
But I keep on coming back to you

(Yes, another alternative interpretation – this time of this song though substantially more creative liberty has been taken this time around. I’m… pleasantly surprised; I think of the members of One Direction I was probably only expecting material from Zayn Malik and Harry Styles post-breakup, but the others have put out good work, and I’d say more in line with my tastes than those two.)

Road to Somewhere (2017 Q3 Review)

Q3 felt very much like a quarter of consolidation, as opposed to development or novelty. The two main highlights of the quarter for me were IJCAI17 and a rather convoluted hack week project at Palantir that reminded me of the applicability of raw CS theory to daily work (of course, getting an award for technical achievement was great as well).

On the coding front, there was a goal last quarter to merge 30 pull requests on AtlasDB. I hadn’t been tracking this, but it turns out that this target was actually hit on the nose. I’m somewhat surprised, as I was out of the office for two weeks, and a fair bit of my time was spent looking at other projects as well. It is very tempting to set the next goal at 31, and I think I’ll bite – though given a likely winter break and some other leave that I do want to take, I’m somewhat doubtful that I’ll hit 31 in Q4. I also had a good conversation with my lead on possible next steps for growth; I can’t say too much other than that there is consensus, and I’m excited.

Turning towards an academic focus, the elephant in the room is IJCAI 17. I was initially skeptical I would enjoy it. I initially imagined that I would be unable to follow the presenters as they eagerly pushed the boundaries of our AI knowledge. Furthermore, the amount of money I spent on it in total was a very solid chunk of the quarter’s expenditure. However, it turns out these concerns were unfounded. There were some talks that I wasn’t able to follow, likely owing to a lack of familiarity in the relevant field, but many of them were very understandable. In general I really enjoyed the experience; I was impressed by the intellectual depth and complexity of many of the presentations.

The LDLK talk itself also went better than expected; it was scheduled at 8.30 am on a Friday morning, but nonetheless many people showed up! I was happy to present in person; this is one of the few things from my time at Imperial that I can truly say I’m proud of. In general, I also enjoyed the social events, meeting Alessio and subsequently exploring a bit of Melbourne (granted, this does not have an academic focus).

Looking forward, MCMAS-Dynamic still has one more paper that can be wrung from it, this time on some of the later-stage results. The paper is well in the pipeline now, though writing it is proving more difficult than either of the previous papers. When I was writing the thesis, I focused more on getting the algorithm right and implementing it correctly than giving a full formal proof! Thus, the core algorithm remained unchanged, but I certainly waved my hands a fair bit regarding some of the more intricate details.

Financially, my portfolio pretty much went sideways over the period, though a late rally pushed it up a bit, leaving it at plus 0.9 percent (total return). In spite of surges in international stock markets, I think the pound recovered a little bit as well especially towards the end on news of a possible Bank of England rate rise. I also sold off a bunch of pounds when GBPUSD broke 1.35. We can see how this compares against a bunch of other investment options:

(N.B. I have positions in the Fidelity World Index and iShares Global Property Securities Tracker. Also I do have holdings in active funds, although I’ve been comparing with trackers for benchmarking purposes.)

Not too unreasonable. UK stocks look like they outperformed and REITs were pretty battered, hence I did worse than the Vanguard fund. Also, we can see the impact of the pound’s (minimal) recovery in some of the delta between the Fidelity and Vanguard total world funds.

Spending this quarter shot up significantly. The obvious rises were in travel and individual meals, which was to be expected given IJCAI. Clothing expenses fell significantly, though I think there might have been some self-control failures last quarter as the amount spent in Q2 looks absurd in hindsight. I’ve been keeping up the routine of walking to and from work, and this shows in transport expenditures as well. Last year’s mean transport expenditure was 81.82; this quarter’s was 18.80 (and the average for the year-to-date is 25.02). That said, I noticed that I’ve been wearing through shoes faster, but I haven’t weighed that cost in yet!

On the comms front generally things have been going well too, though there have been some minor lapses. I think a fair bit of this is not so much in that I’m not seeing my friends, but in terms of the side activities (reading groups) we used to do more actively and/or diligently. I guess being aware’s the first step here. Also, reconnecting with some friends from high school and from my UTA group has also been great.

I think the period was somewhat gentle overall, but in no way calm. I have a tendency to expect higher standards from myself if things seem easy-going, and this can be stressful (I know, it’s a bit of a perennial struggle for me). I’d toss my standard “A League of Their Own” quotes at it if I’m feeling energetic – good things are often meant to be hard – but for some reason I haven’t always had the energy this time around. Some of this might be due to mild illness (had a cold in Melbourne, now having a cough).

I’m not sure why, but Shawn Mendes’s “Mercy” has been a song I’ve been listening to a fair bit this quarter. The obvious interpretation is one where the speaker is singing to an unreciprocated love interest. However, Mendes has suggested an alternative (about mercy from the stress of his career). I independently came up with another variant; I see the speaker singing it to an idealized, but critical version of himself, which is a voice I have in my head at times. We have from the chorus:

Please have mercy on me, take it easy on my heart
Even though you don’t mean to hurt me, you keep tearing me apart
Would you please have mercy on me, I’m a puppet on your string
And even though you’ve got good intentions, I need you to set me free –

It’s kind of a spirit willing / flesh weak type of problem; there are many things I know I want to do that I think would be beneficial, but I find that my bandwidth is already pretty heavily taxed. “Why aren’t you finishing that feature yet?” “Why aren’t you getting your 8 hours of sleep?” “When are you going to get round to writing that paper?” It’s painful, and at times I need respite, but I still do appreciate this voice. It does often serve me well, even if it has to cry out multiple times with the same request before corrective action is taken.

Q4 will have the usual engineering, finance and friendships targets. I have relatively fewer plans for the period (going into Q3 I knew that IJCAI was a thing). I might need to consider and decide if there is anything additional I should pick up.

A Tour of Two Islands (IJCAI-17 Reflections)

Over the past two weeks, I took some time out from work and visited two islands, one substantially larger in land area than the other (and, incidentally, I am returning to another island). I’ve been to both at some point in the past; the larger one for vacation, and the smaller for study, work, visiting family and friends and for vacation as well. The latter is not too difficult to guess – it’s Singapore; the former is Australia.

Academic Program

I was in Melbourne for the twenty-sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Of course, the main highlight for me was presenting “Model Checking Multi-Agent Systems against LDLK Specifications“, a paper which built on parts of my Masters’ thesis on MCMAS-Dynamic. This was my first time presenting at an academic conference, though it’s not my first publication (that’s in AAMAS 17 on CTL*K); it was a little nerve-wracking, though I practiced the presentation a number of times beforehand and I think that helped a lot. Prof. Michael Wooldridge (the author of a commonly used textbook on multi-agent systems) even gave me a compliment that it was confidently presented. I’m not so sure about that, but I guess I have some private local state, and in any case deontic logic doesn’t typically have box p implies p as an axiom.

I also enjoyed the rest of the academic program as well. Apart from Alessio, I had the opportunity to meet up with several other academics whose names, at least, were very familiar. The keynote was delivered by Prof. Stuart Russell (one of the co-authors of the well-known Introduction to AI textbook), and discussed the concept of provably beneficial AI. Essentially, humans tend to be poor at specifying things (e.g. King Midas); many naive specifications of goals or objective functions naturally lead to agents enforcing self-preservation; more informally, “you can’t fetch the coffee if you’re dead”. The talk then discussed a way of formulating a problem such that it would always be a dominant strategy for an AI agent to allow itself to be switched off (as compared to not allowing itself to be switched off); see [Hadfield-Menell et al. 2016] (The Off-Switch Game) for more detail. The other invited speakers also had fairly interesting topics, discussing applications of AI in teaching, commerce and Texas hold-em poker.

I made it a point to attend as many paper presentation sessions as feasible. Expectedly, at a top conference like IJCAI there were quite a number of talks, especially in areas further removed from my work, that proved largely inscrutable. I think my presentation would also have been tricky to follow if one was not reasonably acquainted with temporal logic and/or multi-agent systems. Nonetheless, I gave my best effort in trying to follow the presentations, and there were certainly many interesting talks.

There was a session devoted rather specifically to the discussion of AI applied in the context of computer games. I found [Dann et al. 2017] (Real-Time Navigation in Classical Platform Games via Skill Reuse) to be particularly interesting; the key idea was having the agent acquire skills for small local movements, such as making a single jump to jump on top of a block three cells above the ground. The agent learns success probabilities for these skills, and uses a variant of Dijkstra with log-likelihood to find the “most likely” way to reach the goal safely (though there are some complications with re-planning if a step fails). The authors also demonstrated that the model performs better than the state of the art algorithm, which is based on A*, for maze-like levels. Other talks in the session also discussed level generation and physics engine inference (for platformers), RTS combat planning, narrative control in an educational RPG… and strategy derivation in Hex (this felt a bit out of place, but I guess they must have had exactly five papers that fit the theme well; sessions had either four or six presentations).

In terms of tutorials, I was unfortunately rather sleepy when I landed in Melbourne on Sunday. I did attend the tutorials on Monday, though; there was a very gently paced introduction to argumentation theory (the course Argumentation and Multi-Agent Systems which Prof. Francesca Toni teaches at Imperial would likely have covered this material, though she was on sabbatical when I was in year 4), and a less gently paced overview of heterogeneous learning (machine learning where some differences in the data sources can be exploited to yield better results).

Non-Academic Program

Stepping back from the academic side of IJCAI, I also enjoyed the social events at the conference, and I think they were run fairly well; that said, I acknowledge I don’t have a benchmark at all. The reception at the Melbourne Cricket Ground was very generous, especially in terms of dessert (chocolate tarts!), and the conference in the Docklands was certainly done to a high standard. It also introduced me to the “alternating drop” protocol, which is apparently common (but peculiar to) Australia. Essentially, given two choices of main course X and Y, instead of having guests indicate their preference, they are served XYXYXY… around the table (of course, those with dietary restrictions are excluded). I can see how this is logistically advantageous (you know beforehand that it will suffice to prepare just over N/2 of both options, given N guests), but I’m not sure I like the probability of not getting my preference…

I stayed at the “recommended” Crown Metropol which was certainly luxurious. The hotel is located south of the Yarra river in Melbourne, and is part of the Crown Entertainment Complex – among other things, this features a fairly large casino, several restaurants and luxury shopping (way out of my budget range). Nonetheless, it was a good base from which I could easily explore the city, especially on the few days I stayed on after IJCAI.


I made it a point to leave a few days after the conference itself was over to explore the city, as I knew the conference days themselves were going to be fairly packed (8 am – 6.30 pm usually, running till 11 or so on the night of the Reception and Banquet). Like many work trips, the “official business” part of the trip was fairly draining – I perhaps should have seen this coming. I did manage to have a look around, though; I took a river cruise, walked through a few parts of the city and indulged in a bit of outlet shopping. I also sought out a local fast-food chain (Red Rooster, specialising in grilled chicken).

Given that I’d flown this far across the globe when going from London to Melbourne (it’s roughly 20 hours in the sky) I also decided to spend a few days in Singapore on the way back. For the most part I focused on spending time with family, though I also managed to find some time to flip through some of the IJCAI proceedings.

General Thoughts

It’s surprisingly difficult to leave work behind…

This is certainly the first time I’ve had a two-week break since I started full-time at Palantir. (I had some things I decided I would clear out last year around the Christmas and New Year period, so no long break for me then.) That said, rather unsurprisingly in hindsight attending and presenting at IJCAI was easily just as intellectually stimulating and demanding as my regular work, so it felt more like a one-week break. Still, it was quite a dramatic slowdown.

I think the break worked well. It came at a time just after I launched some fairly hefty deliverables; knowing that I was leaving for two weeks, I had been pushing somewhat hard to get things out before I left. I hadn’t been back home for 11 months. I was initially a little apprehensive about going off for two consecutive weeks, though the logistics of course made sense, and I don’t think I have major regrets, at least not yet!

Volatile Variables (2017 Q2 Review)

It feels like Q2 went by very quickly, perhaps because I’m settling in somewhat into my team at Palantir, and many things have been relatively stable this quarter.

Looking at GitHub statistics, I merged in 29 pull requests over the past three months (one up from Q1). I think one thing that certainly has improved is the size of my pull requests, however; I’ve made a conscious effort to split up features into several reasonably-sized chunks; this includes chains of four or five PRs at times (and some of these can run into the mid to high hundreds of lines each – suggesting that we would easily be looking at a 3000-line monster again if we didn’t do this split). I didn’t check the data, but it’s quite likely I committed less code in Q2 than in Q1; some of this stems from being more involved in reviewing others’ pull requests, as well as dicey debugging (where days can be spent to figure out a very small tweak to make things work). That’s certainly not a problem though – one of the PRs I’m happiest with involved a net reduction in the size of the codebase.

Other professional goals have been going acceptably well. I’ve continued to keep on keeping on as far as interviewing is concerned. Generally technical development has chugged on, though at a bit of a slower pace; my paper reading groups have slowed down a fair bit, for various reasons (friends were travelling or otherwise unavailable), but hopefully that should pick back up in Q3. The academic side of things is a bit of a brighter spot for me as well; a paper on symbolic model checking LDLK was accepted at IJCAI 2017, and I also cleaned up version 1.3.0 that includes support for CTL*K.

I think in Q3 I would aim to merge at least thirty pull requests (I know, it’s a blunt metric). The paper reading groups should continue. I also want to continue on my “Imperial Computing Comprehensives” project; that is an extra-difficult exam paper that crosses disciplines between all compulsory first- and second-year modules at Imperial. (I think my average module mark at Imperial was probably just over 90, but I’m trying to set the paper so that I would score a low first; around a 75.)

Financially, my portfolio increased by 0.3 percent from Q1 to Q2 (would actually have decreased if not for reinvested dividends). I think I’ve actually been decently successful in not worrying excessively about the vicissitudes of the market; in early April as well as at the very end of June my portfolio took beatings of more than a thousand pounds, but I wasn’t too concerned about that. I’m somehow skeptical that the bull market will keep going, but I’m not complaining.

Focusing more on things within my sphere of influence here, notable changes in the Q2 budget involved a drop-off in transport expenditure (as I started really taking walking to work more seriously) and… not much else. There was one big luxury purchase in Q1 (laptop), as well as in Q2 (IJCAI travels). Generally, things were fairly tight though not as tight as in Q1, especially since I didn’t do any specific budget challenges (these usually take place in February). I’m planning on loosening this a little in Q3, for various reasons, including anxiety about valuations in the market, possible travel and a desire to have some better food as well. I can cost the ingredients of my lunch today at 39p!

I’ve started taking up competitive puzzle-solving in my spare time as well. These involve solving logical puzzles against the clock (both well-known ones like Sudoku, Kakuro or Slitherlink, as well as some that are written specifically for a competition – like the Odd Sums Sudoku I discussed a while back). I’m still pretty bad at these, but we’ll see how things go. Generally I find that my logical skills are decent, but my spatial reasoning is not great; I struggle a lot with loop puzzles, or toroidal sudoku (basically like normal sudoku, except regions are irregularly shaped and can wrap around). I’ve continued to practice my singing as well – those A4s are still stable; B4s and C5s are still a bit flaky.

I travelled a couple of times in Q2 – Aarhus, Palo Alto, and then Zagreb (wow, literally from A to Z – I can think of Zurich which is lexicographically later than Zagreb, though can’t think of anywhere before Aarhus). I enjoyed each trip for various reasons, though both Aarhus and Zagreb were whirlwind trips in a sense (flew in in the morning, and flew out the next morning). I’d be happy to revisit all of these places, and I think I will with quite high probability actually. All of these trips were for work though; I didn’t travel anywhere for personal recreation.

In terms of music I’ve been listening to, this quarter seemed to take on a relatively darker mood (though my Q1 review featured James Arthur’s Back from the Edge which isn’t exactly very bright either). There are parts of Lukas Graham’s 7 Years that I appreciate, including fair sections of the lyrical content. However I’ve always found the tone of the lead vocalist a little strange, and the production is awkward (there’s a part where the band is cheered, which doesn’t really make sense to me; I see the song more as one of reflection and acknowledgement of uncertainty, rather than of triumph). However, there was an acoustic piano cover of this that I enjoyed; Schuller’s voice is clean and pleasant, and I find the delivery more appropriate.

There is of course this part of the song that I identify with to some extent, though… it’s a little complicated.

I only see my goals, I don’t believe in failure

I like the ambition and drive, but it can be dangerous if said goals are poorly set. Resilience to failure is of course very important and something I’m still trying to get better at, but it’s important to respect failed attempts for what they are – and learn from them, where appropriate. I think the main lesson here is that it’s important to set good goals, especially if one intends to double down on them. (The second part is less contentious, as long as not believing is interpreted in the right way.)

Let’s push on in Q3.