It’s painfully slow (on a newish mobile).

In today’s fast-moving, AI-powered era, autonomous agents are playing a bigger role than ever. They are helping businesses run smoother and making decisions affecting millions of lives every day. While these systems are designed to make our lives easier and unlock new opportunities, we can’t get carried away—we need to implement proper AI Agent Evaluation frameworks and best practices to ensure these systems actually work as intended and follow ethical AI principles.

Flutter apps are fast by default, but optimization is necessary as complexity grows. Here’s how to maintain peak performance.

Flutter rebuilds widgets efficiently, but unnecessary rebuilds degrade performance.Symptoms:Sluggish scrollingJanky transitionsExcessive rebuild logs

Flickering often happens when widgets rebuild too frequently or async content like images/data briefly shows empty placeholders.

Vite's job is to get your source modules into a form that can run in the browser as fast as possible. To that end, we recommend separating static analysis checks from Vite's transform pipeline.

Vite uses esbuild to transpile TypeScript into JavaScript which is about 20~30x faster than vanilla tsc, and HMR updates can reflect in the browser in under 50ms.

Above: the time to do a production bundle

making the future like Judith Butler’s famous observations about gender: ‘real only to the extent that it is performed’ (Butler, 1988, p. 527)

The code of PyTorch resembles regular Python. Thus, it is a lot easier to learn and understand rather than some other deep learning frameworks. Moreover, debugging in PyTorch is very easy. Another interesting fact is that you can utilize the same tools for debugging that you have already used for Python.

Simply choosing a more efficient programming language speeds up this calculation

In my brag document, I like to do this by making a section for areas that I’ve been focused on (like “security”) and listing all the work I’ve done in that area there. This is especially good if you’re working on something fuzzy like “building a stronger culture of code review” where all the individual actions you do towards that might be relatively small and there isn’t a big shiny ship.

it's a linear increase in performance and the reason I mentioned that is because as probably know that's the signature of unconscious learning

If one profiles what is going on in this whole process, it becomes clear that I/O dominates. Of the cpucycles expended, most go into conversion to and from intermediate file formats.

“When mixed into the plaster, the aerogels can reduce thermal conductivity by a factor of two when compared to polystyrene; that is truly huge.

The perfect index for the above query would be a multi-column index spanning all three columns in matching sequence and with matching sort order:

j'ai fait plusieurs travaux sur ces questionsl et ce slide en résume un rapport de 150 pages 00:19:33 sur que font les systèm éducatif qui appartenaient au cadrant en haut à droite que je vous ai montré au début donc ces systèmes éducatifs dit meilleur qui sont à la fois performants et équitables on est allé regarder ce 00:19:45 qu'ils font avec leur profession enseignante qu'est-ce qu'ils font de leurs enseignants quelle politique pour viser les enseignants et bien il y a une variété d'approches très importantes mais on a trouvé trois éléments communs 00:19:57 on a on a trouvé que c'est dans ces pays-là les enseignants avaient une expérience pratique longue obligatoire pendant leur formation initiale donc ils sont face à une salle de classe dès leur 00:20:10 formation initiale avec un tuteur et ils progressent et cette expérience pratique est longue et j'insiste là-dessus c'est pas l'histoire de faire 3 semaines un mois et cetera en sal de classe euh je pense que oui c'est au 00:20:24 minimum un semestre alors là aussi il y a des variétés mais oui minimum un semestre 1 an idéalement peut-être 2 ans oui j'ai plus les détails en tête euh aussi les enseignants peuvent suivre 00:20:38 des formations continues qui répondent à leurs besoins donc pas des formations continues qui sont proposées voilà sur le plan national mais qui viennent répondre aux besoins d'un établissement en particulier l'établissement dans lesquel il se trouve et dernier point 00:20:52 les mécanismes d'évaluation des enseignants sont reliés à la formation continue et à ce qui leur est proposé en terme de formation continue on fait le lien entre ben voilà on a vu des vous pouvez vous améliorer dans tel domaine 00:21:03 on va vous prer proposer une formation continue qui répond à ce besoin

on est tous et 01:02:17 toutes dans une anxiété de performance et dans une anxiété de compétition sociale euh et donc bah ça voilà ça c'est la seule façon d'y arriver c'est de vraiment ne pas se soucier de ce de 01:02:31 cette compétition mais mais ça veut dire qu'on va jamais nous organiser pour changer les choses donc d'où le danger de développement personnel alors du coup non parce que plus on plus on plus 01:02:46 on va bien et moins on veut s'organiser c'est c'est voilà plus on est en colère c'est un peu aussi que c'est les gens passer un militant sont en colère mais justement parce que c'est un peu important de de garder cette émotion pour s'organiser

Aunque Brysk (2013) se pregunta si las redes sociales puedenser utilizadas como una herramienta performativa (o como unamáscara) para reclamar derechos –ya que estas pueden generaruna respuesta emocional, aun cuando ese momento de cuidadopuede evaporarse rápidamente sin tener un efecto duradero–,propongo que la performance de ser persona –en su carácter de más-cara que permite reclamar derechos– no es el único acto de hablaa través del cual afirmar la propia humanidad.

Practice, learning, getting better at what you do is hard work and not “fun” or “flow”. “Flow” is for performance, rather than practice, for when you’re on stage, rather than in the rehearsal studio.

Don't worry about performance too early though - it's more important to get the design right, and "right" in this case means using the database the way a database is meant to be used, as a transactional system.

The only issue left to tackle is the performance issue. In many cases it actually turns out to be a non-issue because of the clustered index on AgreementStatus (AgreementId, EffectiveDate) - there's very little I/O seeking going on there. But if it is ever an issue, there are ways to solve that, using triggers, indexed/materialized views, application-level events, etc.

climate change performance index

The next point when using a parallel execution model like multiprocessing or sub interpreters is how you share data.

Interpreting accuracy is one of the most commonly used indicators of cognitive demands in experimental interpreting studies. One possibility to assess interpreting performance is to analyse interpreting accuracy based on meaning units. The methodological approaches used thus far, however, have some drawbacks: (a) they are limited to an assessment of sense consistency with no indication of the logical cohesion of the rendition, (b) they do not take into account the difference between unintended and strategic omissions or, more generally, the prioritization of source speech information as an interpreting strategy, and (c) they do not allow for the observation of fluctuations of cognitive load or effects of fatigue. In this article, we will present a refined approach to unit-based accuracy analysis that may contribute to solving the issues mentioned above.

While social media emphasizes the show-off stuff — the vacation in Puerto Vallarta, the full kitchen remodel, the night out on the town — on blogs it still seems that people are sharing more than signalling.

A more efficient but more complicated way to simulate perfect guessing is to guess both options simultaneously

TurboWish is a framework for profiling Rust programs, focused on illuminating the performance and resource usage of task-oriented code written with async/await.

Serializing the data with a function specialized to your data shape can be more than 10x compared with JSON.stringify.

In 1999 Lisa Samuels and Jerry McGann published an essay about the power of what they call “deformance.” This is a portmanteau that combines the words performance and deform into an interpretative concept premised upon deliberately misreading a text, for example, reading a poem backwards line-by-line.

I tried precompiling the JavaScript code to QuickJS bytecode (to avoid parsing overhead), but that only saved about 40 milliseconds (I guess parsing is really fast!).

a factor of 10 did go into faster responses to the user’s actions

only a small fraction of the features of each component, and your program con-sumes 10 or 100 times the hardware resources of a fully custom program, butyou write 10% or 1% of the code you would have written 30 years ago.

The musical depiction of the lyrics from Figure 9.2 illustrates an additional aspect of bluesperformance practice—the use of call and response. Originally practiced by a large groupof people, this improvisational technique involves sharing ideas between the leader andher/his followers. Mastering the call and response technique is especially important at thebeginning of our encounter with jazz improvisation. It engages us in a meaningfuldialogue that includes exchanging and communicating musical ideas. The communicativeaspect of call and response is relatively straightforward in the context of verbal conversation.

NOTATION OF JAZZ STYLE, SWING RHYTHM, AND PERFORMANCE

In addition, data model policy requires that RAs maintain a record of the date of allocation of a DOI name, and the identity of the registrant on whose behalf the DOI name was allocated.

The policy provides a simple test of an RA’s competence: the ability to make a DOI Kernel Declaration, which requires that the RA has an internal system which can support the unambiguous allocation of a DOI name, and is fundamentally sound enough to support interoperability within the network.

The second aim of DOI data model policy is “to ensure minimum standards of quality of administration of DOI names by Registration Agencies, and facilitate the administration of the DOI system as a whole”.

Designing and implementing specific operational processes for e.g. quality control of input data and output data; Integrating the community into other DOI related activities and services.

Providing applications, services, marketing, outreach, business cases etc. to introduce the DOI system to the community; Designing and implementing specific operational processes for e.g. quality control of input data and output data;

Providing information and advice to the community

More sophisticated functionality available, e.g., multiple resolution, data typing

why not allow block forwarding without capturing: foo(&) foo(1, 2, &)

This is an American form,and it sent me straight into the arms of Thomas Jefferson at Monticello. And

Immediately before stepping on stage, he suggests using the tip of your right pinky finger to find the upper end of your trousers zipper. If your fingernail clicks against the zipper’s metal pull-tab, then you are safe and ready to make your entrance. If your pinky slides in up to your knuckle, however, then you have to XYZ PDQ (eXamine Your Zipper, Pretty Darn Quick)!

If we assume students want to learn - and I do - we should show our interest in their learning, rather than their performance.

The majority of real-world software benefits from the fast warm-up and performance enhancements provided by the YJIT basic block versioning JIT compiler.

I'm still against frozen-string-literal by default. It is arguable if the string creation limits performance so much in real-world programs. We need to first measure how much Ruby can be faster by frozen-string-literal. If it is not significant, Ruby should prefer dynamics and flexibility.

Because endpoints are URLs, you can – and should – monitor them to ensure they stay online. When talking about online services and websites, you’ll often hear the word “uptime”. This is the percentage of time your application stays up – in other words, the percentage of time your app is accessible and functioning. Outages and performance errors will lower your overall percentage.Monitoring your endpoints also gives you metrics on which endpoints are being accessed and what types of API calls developers are making. This can help you track user behavior, and gain insight into which endpoints are highly trafficked so you can maintain your performance.

If you write an algorithm in a straightforward way in Node, you can expect it to run about as fast as if you write it in a vectorized way using Numpy, or twenty times as fast as if you write it in a straightforward way in CPython.

current JavaScript tools could be faster than they are today

Scaffolding is the act of providing learners with assistance or support to perform a taskbeyond their own reach if pursued independently when “unassisted.”

It's not entirely the Twitter people's fault. They've been taught to behave in certain ways. To chase likes and retweets/boosts. To promote themselves. To perform.

The most intriguing result in the present study is thepositive effect of white noise on performance for theADHD children. This noise effect was present in boththe non-medicated and medicated children. Thissupports the MBA (Moderate Brain Arousal) model(Sikstro ̈m & So ̈derlund, 2007), suggesting that theendogenous (neural) noise level in children withADHD is sub-optimal. MBA accounts for the noise-enhancing phenomenon by stochastic resonance(SR). The model suggests that noise in the environ-ment introduces internal noise into the neural sys-tem through the perceptual system. Of particularimportance, the MBA model suggests that the peakof the SR curve depends on the dopamine level, sothat participants with low dopamine levels (ADHD)require more noise for optimal cognitive performancecompared to controls.

It has long been known that cognitive processing iseasily disturbed by noise and other distractors(Broadbent, 1958).

The MBAmodel predicts that noise enhances memory perfor-mance for ADHD and attenuates performance forcontrols. We will also argue for a link between theeffects of noise, dopamine regulation, and cognitiveperformance.

Results: Noise exerted a positive effect on cognitive performance forthe ADHD group and deteriorated performance for the control group, indicating that ADHD subjectsneed more noise than controls for optimal cognitive performance

Rust lets us explicitly state our desires to the compiler

That is called profiling, not performance testing. Performance testing should ensure that a piece of code runs within a desired amount of time, given a certain context, before the new code goes into production.

The lack of CPU power in those days also meant there was deep skepticism about the performance of interpreters in general, and in the user interface in particular. Mention "interpreted language" and what sprung to mind was BASIC or UCSD Pascal, neither regarded as fast.

The more I think about it, the less I think there is a meaningful definition of the one true run time. I have put significant effort into making sure that runtimes are consistent but, however we do this, it makes our experiments less realistic. With rare exceptions (perhaps some safety critical systems) our algorithms will not be used in highly controlled situations, moderated to reduce variability between runs or to maximise speed of this particular process. Algorithms will be run as part of a larger system, in a computer sometimes with many other processes and sometimes with few and, because of the way that computing has developed, sometimes in raw silicon and sometimes in virtual machines. So the more I think about it, the more I think that what matters is the distribution of run times. For this, your experiment on your hardware is important, but so are future recomputations on a wide variety of VMs running on a variety of different hardware.

If I can’t run your experiment at all, then I can’t reproduce your times.

This is what I observed in hyper productive people: some of them have a unique, novel system of organizing their knowledge, but many of them don't. So, having such a system is probably not that important.

Another key idea here is to separate meaning from tactics. E.g. the meaning of sorting is much simpler and more compact than the dozens of most useful sorting algorithms, each one of which uses different strategies and tactics to achieve the same goal. If the “meanings” of a program could be given in a way that the system could run them as programs, then a very large part of the difficulties of program design would be solved in a very compact fashion. The resulting “meaning code” would constitute a debuggable, runnable specification that allows practical testing. If we can then annotate the meanings with optimizations and keep them separate, then we have also created a much more controllable practical system.

there is clear evidence that explicitly teaching reading strategies to students improves their overall academic performance, such instruction is often limited to developmental reading or study skills courses (Saxby 2017, 37-38).

Cold starts depend a lot on what people actually deploy. They're really fast for an optimized Go binary, really slow for most Node apps.

therefore the gases should be removed from the condenser. This can be achieved byinstalling vacuum pumps, compressors, or steam ejectors. The condenser heat removalis done either by using a cooling tower or through cold air circulation in the condenser.The condensate forms a small fraction of the cooling water circuit, a large portion ofwhich is then evaporated and dispersed into the atmosphere by the cooling tower. Thecooling water surplus (blow down) is disposed of in shallow injection wells. In singleflash condensation system, the condensate does have direct contact with the coolingwater.

Single flash power plants are classified according to their steam turbines types, i.e., theturbine exit conditions. Two such basic types are the single flash with a condensationsystem and the single flash back pressure system. In the first type, a condenser oper-ating at very low pressure is used to condensate the steam leaving the steam turbine.The condenser should operate at low vacuum pressure to maintain a large enthalpy dif-ference across the expansion process of the steam turbine, hence resulting in a higherpower output. The geothermal fluid usually contains non-condensable gases which arecollected at the condenser. Such a collection of gases may raise the condenser pressure,

Some people have expressed surprise end even doubt that it could be faster to read the files twice than reading them just once. Perhaps I didn't manage to explain very clearly what I was doing. I am talking about cache pre-loading, in order to have the files in disk cache when later accessing them in a way that would be slow to do on the physical disk drive. Here is a web page where I have tried to explain more in detail, with pictures, C code and measurements.

Remember the caching. Reading two files sequentially into memory from the physical disk can be faster than reading them both in parallel, alternating between them (moving the read head back and forth). Everything you do later, with all the data cached in memory, is relatively much faster. But yes, it depends on the data, and this is an average. Two files that actually do differ in the beginning will be faster to compare byte by byte.

The law of the "Wild West of Programming" was still held in too high esteem! The same inertia that kept many assembly code programmers from ad- vancing to use FORTRAN is now the principal obstacle against moving from a "FORTRAN style" to a structured style.

The amount of resistance and prejudices which the farsighted originators of FORTRAN had to overcome to !gMn acceptance of their product is a memorable indication of the degree to which programmers were pre- occupied with efficiency, and to which trick- ology had already become an addiction

it's minified before encoding the link (with encoding) is only 224 characters, instead of 337

I just dislike how non-native it feels and looks.

The unified approachhas the advantage, that the enterprise has more control overthe data and quality, and the data querying is significantlyfaster.

However, federated querying andaccess control over fine-grained datasources drastically impedethe performance.