#apm: tiny observations

[waterme-stories]

"Tiny Observations" pt. 7

For @ageplay-may 2022

This is the teaser for an entire fic! You can read it here (mind the tags)

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Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories Fandom: Deadpool x Cable Rating: Explicit Word Count: 100 Tags/Warnings: Diapers, Forced De-Aging, Fade-to-Black Watersports

Day and Prompt: Day 23: “Diapers” (full fic is Day 14: "Bad Dads & Wine Moms") Challenge: Hopscotch, D's Get Degrees

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“I’m a big boy, Daddy.” Wade shifted in the crinkly diaper.

“Oh, no,” Nate said. “You’re a tiny baby who can’t control your own bladder. And you're staying in it until you wet yourself.”

“You know how long I can hold it.”

Nate hummed. “I got all day for you, sweetheart. Unless Daddy’s good boy wants help?”

Wade hesitated, then his face crumpled. He nodded.

Slowly, so slowly, Nate hooked a finger in the front of the diaper. He lined up the head of his cock. The moment stretched on. 

Finally, Wade whimpered, “Please, Daddy.”

With a sigh, Nate released.

(read the rest here!)

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Part 6 || Part 8

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 11

For @ageplay-may 2022

Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories Fandom: Spider Man x Deadpool x Cable Rating: Teen Word Count: 100 Tags/Warnings: Non-sexual Ageplay, Impending K!nk Day and Prompt: Day 31: Happily Ever After Challenge: Hopscotch, D's Get Degrees, Spice & Sugar, BLACKOUT!

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“Daddy, Daddy, Daddy!” chanted Wade.

Petey was hot on his heels. “Granddaddy, Granddaddy, Granddaddy!”

“You brought this on yourself,” Domino said.

“Not so fast,” grumbled Nate. “You’re in this too, Aunty Neena.”

She stood, her face the picture of the cat that got the cream. “Hey kids! Who wants to play, who can make the loudest laser sound?” As pew pews and the thud of nerf foam filled the air, she said, “Oh look, it’s time for my nail appointment!”

“I hate you,” said Nate. “I hate you, I hate you, I hate you.”

(And they lived kinkily ever after.)

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The end!!! You can now read the full work on Ao3!

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< Part 10 ||

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

I feel like If cable had to interact with Spidey pool that he’d immediately regret his life choices.

[michellelewis7162]

The Task of Task Monitoring Training Firms in Job Management Progression

The Task of Task Monitoring Training Firms in Job Management Progression

 For years Project Managers knew their field through adventure, commonly an Engineer will be ensured to the part of Project Manager and also if they did well in providing their 1st job they would certainly be rewarded along with much larger extra daunting projects (practically until they failed). Organizations, however, found this 'learning by experience' method very expensive, because blunders created early in a job (like unsatisfactory meaning of scope or even failure to know dangers) may possess remarkable outcomes throughout execution. Given that the 1990's project monitoring has become much more recognised as a profession, with commonly recognised bodies of knowledge (APM, PMI & Prince 2 approach) and associated instruction as well as accreditation. An understanding of these frameworks offers organisations and people along with a structured procedure for the organizing and completion of tasks and organizations. Task Management Training has created it their company to provide lesson room instruction to teach these methods as well as support people often connected to accreditation. Organisations as well as individuals still discover the ability to shipment projects properly testing.

 The purpose of this paper is to look past training and to the implementation of a knowing society within a realm training class project delivery company. http://projectmanagementevents.com/

 Meanings

 Training is defined by the CIPD as 'a material as well as instructor-led based interference leading to a modification in behavior'; it typically entails time out of the work location in a class or even matching. In numerous companies this is actually the primary kind of growth for workers.

 Understanding is actually described as 'a personal directed, job located procedure leading to a raised adaptive ability', it entails furnishing people along with the capacity to 'find out to discover' and have the capabilities that companies need to have to create and sustain a very competitive benefit. Along along with understanding management, 'knowing' most definitely holds its location in promoting the longer term progression of Project Delivery proficiency.

 Discovering Interventions

 Qualifying Companies might establish a variety of learning interventions, including:

 Action Learning

 The people identify a certain task trouble, for which they take possession as well as determine the steps required to solve it. Associates operate in finding out collections (or even groups) to provide support and to test each others method. Job Management Training Companies may offer assistance for the assistance and also development of discovering sets within an organization, delivering tips and also steerage in order to guarantee the team maintains momentum.

 Mixed Learning

 It is actually ending up being increasingly more recognised that individuals learn best in tiny pieces of 2 to 3 hours, (university courses have always been 30-45 minutes). Blended learning, which normally consists of e-learning, enables individuals to gain access to information in much smaller portions. Educating Companies is proactively analyzing the advancement and release of both universal and also unique e-learning remedies.

 Mentoring and Coaching

 Mentoring is actually a one-to-one method of enriching efficiency as well as abilities. Mentoring is actually typically organised as a variety of brief one-to-one treatments over a duration of numerous months, through which individuals are actually paired with a necessary coach. Qualifying Companies's training model is actually a 4 action method including 1) Setting objectives located on reality, 2) analyzing choices for development, 3) committing to activity as well as 4) assessing results. Job Management Training Companies possess fly one-to-one training programmes managing within Transport for London. Our experts require to assess the perks of these programs and possible market.

 CPD - Continuing Professional Development

 Continuing Professional Development sustains the continuous education and learning of task managers making sure individuals remain up to time. Within the job management area, the APM and also other bodies arrange normal CPD celebrations aimed at boosting a person's know-how normally concentrated in the direction of details expertise areas (such as Risk, Managing Project Teams etc).

 Within a company PM discussion forums can offer a strong means of discussing and going over concerns pertinent to the PM area. This may range in length coming from 1 hour (' rest as well as know' lunchtime treatments to half day celebrations. Extremely custom discussion forums can easily make up 'surgeries' supplying a secure atmosphere for Project Managers to go over issues.

 Development (or even examination) Centres

 In an advancement centre, individuals participate in a number of job likeness as well as examinations observed through Consultant surveyors who assess their functionality against pre-defined standards. The APM Practitioner Qualification is one kind of assessment center provided through Training Companies, having said that the comments is located on the APM BOK and could be limited and secondary.

 Some customers choose bespoke growth centres/job likeness occasions which concentrate on the key practices crucial to their personal organisation, typically entailing elderly supervisors outward the company as the contributors and/or observers. Qualifying Companies can operate along with companions who have considerable experience supplying and establishing management growth centres as well as these will certainly have an essential part in any sort of 'understanding' answer.

 Expertise Management

 Knowledge management bodies encourage individuals to hold, get as well as offer details which supports the effective distribution of tasks. Units can range coming from template files, lessons learned as well as dialogue on vital topics, access to key Project Management sites, internet sites and internet forums. Venture Management Training Companies performs certainly not currently support know-how monitoring devices however is actually exploring systems to sustain an alumni community which would have accessibility to such a shared source.

 Conclusions

 Class room based venture control instruction is a significant renovation to 'discovering on the task', giving individuals as well as organizations with an organized approach to job administration. Hoping to the future, successful job delivery are going to need people to take the knowing out of the class room and administer it in the past job. In this particular newspaper our company have determined a lot of knowing treatments that support the switch coming from instruction to discovering. Numerous of these are going to call for significant progression attempt both in regards to approach and commercial infrastructure. Task Management Training Companies need to have to look for a client companion to focus on these evaluating the usefulness of these techniques and determine the extent of any sort of Training Companies.

 The ongoing recessional stage of the global economic situation has compelled companies to complete jobs along with minimized resources. Many of the companies, nowadays, hire professional and also certified venture supervisors to implement methods, and also handle their resources to achieve fixed purposes. If you are preparing to seek a lasting job in job control areas, it is significant to acquire the Project Management Professional (PMP) qualification.

 As the expert designation, given due to the Project Management Institute (PMI), is acknowledged in a number of countries, it will undoubtedly help you in getting financially rewarding work promotions. Nonetheless, you should choose the absolute most beneficial alternatives to acquire premium project control training called for to clean up the challenging PMP exam. Along along with determining the proper method of instruction, you also need to ensure that you are actually obtaining updated and relevant job management training.

 Determine the Mode of Training

 Based upon his way of living, a student possesses choices to decide on a number of traditional and on the web PMP assessments prep training programs. The training courses carried out in standard class environment will definitely need you to go to training class and lectures regularly. This method of training will definitely certainly not be ideal for you, if you are actually currently functioning in an association.

 As you must devote long hours in organizing, organizing as well as running projects, your loaded schedule will not enable you any type of spare time to join task monitoring instruction sessions. However, the internet training plans are going to permit you to complete the training course at your personal pace and convenience. As you can access the online program materials 25 hours a time, you may easily discover the key task management ideas and principles without observing a predefined research study routine.

 Assess the Institute's Reputation

 You can easily discover a lot of schools and also institutions offering a lot of PMP test preparation courses. The duration as well as routine of the program are going to vary from one training supplier. Additionally, you must examine the expert track record and reputation of the principle. It is regularly crucial to pick a principle acknowledged due to the PMI. You may read through the relevant information posted on the company's site to figure out whether it is actually recognized through it or certainly not.

 At the same time, the qualified credibility of the principle may also be made a decision through acquiring comments coming from various other learners and also PMP license owners. You may also trigger an internet hunt entering the name of the organization to find the negative and also good opinions posted through aged trainees. It will definitely be much easier for you to obtain more helpful project monitoring instruction and pass the PMP qualification examination when you decide on the best instruction service provider.

 Inspect Options to Clear Your Doubts

 It will certainly be actually less complicated for you to clear you inquiries and doubts, if you are participating in training class often. As the internet courses perform certainly not demand you to attend training class, it will definitely be actually complicated for you to keep attached with the coach. You can easily locate several internet training program carriers who make it possible for students to get the help and support of internal coaches. Typically, the trainees are actually enabled to interact with the trainer with e-mails, telephone call, and also voice conversations. You must decide on an organization that allows you to keep associated with a qualified trainer to clear you hesitations and also acquire relevant direction in accomplishing the program.

 Addition Training Offered due to the Institution

 If you are actually working as a project supervisor, there are odds that you may certainly not acquire the time demanded to accomplish the project monitoring training program. You might possess to take the license test once more to acquire the intended designation. So you have to check, if the company is actually delivering any unique locations for the learners that fall short to clear the test on their 1st effort. Usually, numerous on-line training program carriers allow such students to obtain additional training hours free of cost to break the qualification test on 2nd try. Some establishments allow learners to redo the physical examination without paying out any type of additional exam expenses.

 A crucial element for the effectiveness of projects within an organization is actually task management training. Your people is ensured to possess the best knowledge and also abilities for efficient administration of your institution's organisation jobs if there is a strong venture oversight training course for your organization. All elements of an effort are concentrated by training coming from supply as well as optimum utilization of information to the review of risk variables as well as steps to reduce these aspects.

 Completion of all aspects of a program is guaranteed when participants of the staff are fully educated concerning managing a task. Rise in product is actually ensured when task is completed within the opportunity set.

 When work are actually smaller and also consist of strenuous communications, project oversight and also common job monitoring resources, these jobs function much better. Project supervisors were able to build concepts of good task supervision as well as intentionally carry out some knowledge treatment right into their ventures in a result-oriented technique of helpful instruction of project guidance.

 There are actually ways which an association can move toward task monitoring instruction. Creating its own internal trainers is actually one possible method an association can easily have. And also these personal trainers they built will definitely qualify their employees. Monetary financial savings is actually the very advantage of this method and the scheme could be tailored to satisfy the organization's certain requirements.

 Tapping the services of a venture control instruction establishment to qualify the employee of a particular organization is actually one more strategy. The staff members right here are going to be subjected to new suggestions in terms of job planning as well as execution as the establishments teaching them are actually additionally educating workers in much more than one association. If you wish that your staff member will certainly go through the essential training without burdening the institution's financial resources, after that locate a stellar instruction establishment, this is incredibly vital. Somehow this technique spares both energy and time.

 PMP is the absolute most after and also well-known PM licenses among the numerous project control licenses readily available. It keeps the greatest order as well as high accreditations too. Along with over a decade of lengthy adventure in instruction professionals on ideal methods in handling a task, AstroWix a registered education and learning service provider of PMI masters delivering training for managing a project.

 It is safe to claim that for an association, there is actually no crucial duty than to create their important property of all: it's staff. Teaching workforce is very essential to help each staff member to know and also meet his capacity; teach the workforce and also connect them emotionally to obtain company objectives. Task monitoring instruction is actually a training platform which assists institutions to attain these necessary goals.

 Our experts can broadly identify project management in to task preparation and also managing the job according to the strategy. Great job administration instruction ought to feature treatments on information preparation, risk evaluation methods, evaluation procedures, routine preparation and monitoring, source control. Training ought to consider an effective equilibrium between control and also planning elements of task control.

 There are a great deal of choices on call to an organization on providing venture monitoring instruction to it is actually staff. One way is actually to build internal instructors as well as instruction structure within the firm.

 Another alternate means is to make use of the companies offered by expert instruction organizations, whose primary objective is actually to provide specialist instruction to enterprise. An organization that doesn't have actually the needed to have resources to qualify the staff in residence, can benefit from the companies used through these instruction institutions. This could possibly spare bunch of opportunity as well as electricity. These solutions may be actually extremely dear.

 Among the useful ways is to possess a great compilation of administration manuals in a company library.One such manual which one can acquire in control lierature is Training commercial: a resource to the assimilation of instruction in an organizations success.It clarifies the opportunities and also the conveniences that an individual obtains from staff instruction as well as corelates all of them to the economic efficiency of the company's. It additionally functions as a handy manual to the inner personal trainers through assisting them to understand the impressive strategies whereby a staff may be qualified.

 In order to efficiently lug and construct a group out a job, an amount of gentle skills are essential. Task monitoring instruction needs to combine these capabilities in to its own educational program.

 By means of job control training, people may find out just how to deal with projects as well as deal with jobs in them very most successful method, creating ideal usage of all sources. The venture supervisor may make use of venture management tools to guarantee efficient control of the project. A vital part of job management is actually leadership, as tasks may fall short without a good forerunner.

 Part of a venture manager's work is actually to specify a project's scope. Facets of venture control may in fact be actually used to projects of any type of size.

 One instance of a task is actually cleansing one's house. The one that is doing the cleansing must to begin with help make plans. These plans will definitely include where to start the cleansing, what cleaning materials and resources are going to be needed to have, and also the amount of opportunity they want to invest in each room. Every decision that is made in our home cleaning is actually additionally part of venture management preparing.

 An instance of a larger task is actually developing a home, as it includes lots of task parts. They would to begin with need to have an architect to produce the first style for your home, then a team to prepare the property for construction, followed by builders, builders, painters, and more. This kind of project needs particular duties to be accomplished prior to others are begun. These much larger jobs result in task control ending up being a call sport.

 Management is a call sporting activity. The forerunners or project managers must take care of all sources that are applicable to the venture and also the moment that is invested in the different elements of the task. Funds of projects include everyone designated to focus on the job, materials, outsourcers, and also anything else that is included in the conclusion of a venture. Each resource is actually essential to the task, though some resources may simply be energetic in a certain part of the task.

 Venture managers can take advantage of numerous different resources in task monitoring training. Ventures may show not successful if there isn't routine call in between every person involved on the task.

 When you are considering any kind of venture, accurately project management training is crucial. No project is actually too tiny for job control. Much larger projects which require comprehensive project monitoring may be enhanced by the usage of similar computer system software application.

[toomanysinks]

StarCraft II-playing AI AlphaStar takes out pros undefeated

Losing to the computer in StarCraft has been a tradition of mine since the first game came out in 1998. Of course, the built-in “AI” is trivial for serious players to beat, and for years researchers have attempted to replicate human strategy and skill in the latest version of the game. They’ve just made a huge leap with AlphaStar, which recently beat two leading pros 5-0.

The new system was created by DeepMind, and in many ways it’s very unlike what you might call a “traditional” StarCraft AI. The computer opponents you can select in the game are really pretty dumb — they have basic built-in strategies, and know in general how to attack and defend and how to progress down the tech tree. But they lack everything that makes a human player strong: adaptability, improvisation and imagination.

AlphaStar is different. It learned from watching humans play at first, but soon honed its skills by playing against facets of itself.

The first iterations watched replays of games to learn the basics of “micro” (i.e. controlling units effectively) and “macro” (i.e. game economy and long-term goals) strategy. With this knowledge it was able to beat the in-game computer opponents on their hardest setting 95 percent of the time. But as any pro will tell you, that’s child’s play. So the real work started here.

Hundreds of agents were spawned and pitted against each other.

Because StarCraft is such a complex game, it would be silly to think that there’s a single optimal strategy that works in all situations. So the machine learning agent was essentially split into hundreds of versions of itself, each given a slightly different task or strategy. One might attempt to achieve air superiority at all costs; another to focus on teching up; another to try various “cheese” attempts like worker rushes and the like. Some were even given strong agents as targets, caring about nothing else but beating an already successful strategy.

This family of agents fought and fought for hundreds of years of in-game time (undertaken in parallel, of course). Over time the various agents learned (and of course reported back) various stratagems, from simple things such as how to scatter units under an area-of-effect attack to complex multi-pronged offenses. Putting them all together produced the highly robust AlphaStar agent, with some 200 years of gameplay under its belt.

Most StarCraft II pros are well younger than 200, so that’s a bit of an unfair advantage. There’s also the fact that AlphaStar, in its original incarnation anyway, has two other major benefits.

First, it gets its information directly from the game engine, rather than having to observe the game screen — so it knows instantly that a unit is down to 20 HP without having to click on it. Second, it can (though it doesn’t always) perform far more “actions per minute” than a human, because it isn’t limited by fleshy hands and banks of buttons. APM is just one measure among many that determines the outcome of a match, but it can’t hurt to be able to command a guy 20 times in a second rather than two or three.

It’s worth noting here that AIs for micro control have existed for years, having demonstrated their prowess in the original StarCraft. It’s incredibly useful to be able to perfectly cycle out units in a firefight so none takes lethal damage, or to perfectly time movements so no attacker is idle, but the truth is good strategy beats good tactics pretty much every time. A good player can counter the perfect micro of an AI and take that valuable tool out of play.

AlphaStar was matched up against two pro players, MaNa and TLO of the highly competitive Team Liquid. It beat them both handily, and the pros seemed excited rather than depressed by the machine learning system’s skill. Here’s game 2 against MaNa:

In comments after the game series, MaNa said:

I was impressed to see AlphaStar pull off advanced moves and different strategies across almost every game, using a very human style of gameplay I wouldn’t have expected. I’ve realised how much my gameplay relies on forcing mistakes and being able to exploit human reactions, so this has put the game in a whole new light for me. We’re all excited to see what comes next.

And TLO, who actually is a Zerg main but gamely played Protoss for the experiment:

I was surprised by how strong the agent was. AlphaStar takes well-known strategies and turns them on their head. The agent demonstrated strategies I hadn’t thought of before, which means there may still be new ways of playing the game that we haven’t fully explored yet.

You can get the replays of the matches here.

AlphaStar is inarguably a strong player, but there are some important caveats here. First, when they handicapped the agent by making it play like a human, in that it had to move the camera around, could only click on visible units, had a human-like delay on perception and so on, it was far less strong and in fact was beaten by MaNa. But that version, which perhaps may become the benchmark rather than its untethered cousin, is still under development, so for that and other reasons it was never going to be as strong.

AlphaStar only plays Protoss, and the most successful versions of itself used very micro-heavy units.

Most importantly, though, AlphaStar is still an extreme specialist. It only plays Protoss versus Protoss — probably has no idea what a Zerg looks like — with a single opponent, on a single map. As anyone who has played the game can tell you, the map and the races produce all kinds of variations, which massively complicate gameplay and strategy. In essence, AlphaStar is playing only a tiny fraction of the game — though admittedly many players also specialize like this.

That said, the groundwork of designing a self-training agent is the hard part — the actual training is a matter of time and computing power. If it’s 1v1v1 on Bloodbath maybe it’s stalker/zealot time, while if it’s 2v2 on a big map with lots of elevation, out come the air units. (Is it obvious I’m not up on my SC2 strats?)

The project continues and AlphaStar will grow stronger, naturally, but the team at DeepMind thinks that some of the basics of the system, for instance how it efficiently visualizes the rest of the game as a result of every move it makes, could be applied in many other areas where AIs must repeatedly make decisions that affect a complex and long-term series of outcomes.

source https://techcrunch.com/2019/01/24/starcraft-ii-playing-ai-alphastar-takes-out-pros-undefeated/

[fmservers]

StarCraft II-playing AI AlphaStar takes out pros undefeated

Losing the the computer in StarCraft has been a tradition of mine since the first game came out in 1998. Of course, the built-in “AI” is trivial for serious players to beat, and for years researchers have attempted to replicate human strategy and skill in the latest version of the game. They’ve just made a huge leap with AlphaStar, which recently beat two leading pros 5-0.

The new system was created by DeepMind, and in many ways it’s very unlike what you might call a “traditional” StarCraft AI. The computer opponents you can select in the game are really pretty dumb — they have basic built-in strategies, know in general how to attack and defend, and how to progress down the tech tree. But they lack everything that makes a human player strong: adaptability, improvisation, and imagination.

AlphaStar is different. It learned from watching humans play at first, but soon honed its skills by playing against facets of itself.

The first iterations watched replays of games to learn the basics of “micro” (i.e. controlling units effectively) and “macro” (i.e. game economy and long-term goals) strategy. With this knowledge it was able to beat the in-game computer opponents on their hardest setting 95 percent of the time. But as any pro will tell you, that’s child’s play. So the real work started here.

Hundreds of agents were spawned and pitted against each other.

Because StarCraft is such a complex game, it would be silly to think that there’s an single optimal strategy that works in all situations. So once the machine learning agent was essentially split into hundreds of versions of itself, each given a slightly different task or strategy. One might attempt to achieve air superiority at all costs; another to focus on teching up; another to try various “cheese” attempts like worker rushes and the like. Some were even given strong agents as targets, caring about nothing else but beating an already successful strategy.

This family of agents fought and fought for hundreds of years of in-game time (undertaken in parallel, of course). Over time the various agents learned (and of course reported back) various stratagems, from simple things such as how to scatter units under an area-of-effect attack to complex multi-pronged offenses. Putting them all together produced the highly robust AlphaStar agent, with some 200 years of gameplay under its belt.

Most StarCraft II pros are well under 200, so that’s a bit of an unfair advantage. There’s also the fact that AlphaStar, in its original incarnation anyway, has two other major benefits.

First, it gets its information directly from the game engine, rather than having to observe the game screen — so it knows instantly that a unit is down to 20 HP without having to click on it. Second, it can (though it doesn’t always) perform far more “actions per minute” than a human, because it isn’t limited by fleshy hands and banks of buttons. APM is just one measure among many that determines the outcome of a match, but it can’t hurt to be able to command a guy twenty times in a second rather than two or three.

It’s worth noting here that AIs for micro control have existed for years, having demonstrated their prowess in the original StarCraft. It’s incredibly useful to be able to perfectly cycle out units in a firefight so none takes lethal damage, or to perfectly time movements so no attacker is idle, but the truth is good strategy beats good tactics pretty much every time. A good player can counter the perfect micro of an AI and take that valuable tool out of play.

AlphaStar was matched up against two pro players, MaNa and TLO of the highly competitive Team Liquid. It beat them both handily, and the pros seemed excited rather than depressed by the machine learning system’s skill. Here’s game 2 against MaNa:

In comments after the game series, MaNa said:

I was impressed to see AlphaStar pull off advanced moves and different strategies across almost every game, using a very human style of gameplay I wouldn’t have expected. I’ve realised how much my gameplay relies on forcing mistakes and being able to exploit human reactions, so this has put the game in a whole new light for me. We’re all excited to see what comes next.

And TLO, who actually is a Zerg main but gamely played Protoss for the experiment:

I was surprised by how strong the agent was. AlphaStar takes well-known strategies and turns them on their head. The agent demonstrated strategies I hadn’t thought of before, which means there may still be new ways of playing the game that we haven’t fully explored yet.

You can get the replays of the matches here.

AlphaStar is inarguably a strong player, but there are some important caveats here. First, when they handicapped the agent by making it play like a human, in that it had to move the camera around, could only click on visible units, had a human-like delay on perception, and so on, it was far less strong and in fact was beaten by MaNa. But that version, which perhaps may become the benchmark rather than its untethered cousin, is still under development, so for that and other reasons it was never going to be as strong.

AlphaStar only plays Protoss, and the most successful versions of itself used very micro-heavy units.

Most importantly, though, AlphaStar is still an extreme specialist. It only plays Protoss versus Protoss — probably has no idea what a zerg looks like — with a single opponent, on a single map. As anyone who has played the game can tell you, the map and the races produce all kinds of variations which massively complicate gameplay and strategy. In essence, AlphaStar is playing only a tiny fraction of the game — though admittedly many players also specialize like this.

That said, the groundwork of designing a self-training agent is the hard part — the actual training is a matter of time and computing power. If it’s 1v1v1 on Bloodbath maybe it’s stalker/zealot time, while if it’s 2v2 on a big map with lots of elevation, out come the air units. (Is it obvious I’m not up on my SC2 strats?)

The project continues and AlphaStar will grow stronger, naturally, but the team at DeepMind thinks that some of the basics of the system, for instance how it efficiently visualizes the rest of the game as a result of every move it makes, could be applied in many other areas where AIs must repeatedly make decisions that affect a complex and long-term series of outcomes.

Via Devin Coldewey https://techcrunch.com

[ultralifehackerguru-blog]

New Post has been published on http://www.lifehacker.guru/spectacular-winners-insight-astronomy-photographer-year-2017/

Spectacular Winners Of The Insight Astronomy Photographer Of The Year 2017

“Stars and Nebulae”. Overall winner: The Rho Ophiuchi Clouds, by Artem Mironov (Russia) The Rho Ophiuchi Cloud Complex, or the Ophiuchus Molecular Cloud is a dark emission and reflection nebula about 14 light years across situated approximately 460 light years away from earth, in the constellation of Ophiuchus (the “Serpent-Bearer”). It is one of the closest star-forming regions to the Solar System. Hakos Farm, Windhoek, Namibia, 6 August 2016. Sky-Watcher 200 mm f/4 reflector telescope, Sky-Watcher HEQ5 Pro mount, Canon 5D Mark II camera, ISO 1600, 15-hour total exposure. (Photo by Artem Mironov/Insight Astronomy Photographer of the Year 2017)

“Stars and Nebulae”. Runner up: One Stellar Day by Andras Papp (Hungary) A 24 hour day actually only takes 23 hours, 56 minutes and 4 seconds for our planet spinning on its axis to complete one rotation – known as the “sidereal day” or “stellar day”. This image captures the motion of the stars over the course of one “stellar day” illustrated by beautiful concentric star trails. Ágasvár, Veszprémvarsány, Hungary, 2 November 2016 Canon EOS 700D camera, 18–135 mm at 135 mm f/7.1, Sky-Watcher HEQ5 mount with home-made camera holder, ISO 800, 287 x 300-second exposures. (Photo by Andras Papp/Insight Astronomy Photographer of the Year 2017)

“Stars and Nebulae”. Highly commended: NGC 281 Pacman by Andriy Borovkov (Ukraine) The NGC 281 nebula is known as the “Pacman Nebula” due to its resemblance to the video game character. In the ordinary colours of the visible light spectrum it can look rather dreary, so this image used the Hubble Palette (HST), showcasing the nebula with a vibrant blue surrounded by rusty oranges. Elmshorn, Germany, August/September 2016. UNC 30512 305 mm f/4 reflector telescope, Sky-Watcher EQ8 mount, Moravian Instruments G2-8300 Mono CCD camera, 25-hour total exposure. (Photo by Andriy Borovkov/Insight Astronomy Photographer of the Year 2017)

“Aurorae”. Winner: Ghost World by Mikkel Beiter (Denmark) During October 2016 the photographer stood and observed the waves from the sea slowly rolling up on the long beach making the sand wet, resulting in great conditions for catching some reflections. Suddenly, clouds emerged from the nearby mountains and floated across the sea allowing him to capture this other-worldly scene of a powerful, teal aurora sweeping across the night sky. Stokksnes, Iceland. Stokksnes, Iceland, 5 October 2016 Canon EOS 5D Mark III camera, 24 mm f/2.0 lens, ISO 1600, 6-second exposure. (Photo by Mikkel Beiter/Insight Astronomy Photographer of the Year 2017)

“Aurorae”. Runner up: In Autumn Dance by Kamil Nureev (Russia) A glowing green auroral ray arcs through the night sky over the Siberian forest-tundra. Eight vertical scenes shot – over the course of shooting, every second was precious as the polar light was very dynamic and the photographer had to move as quickly as possible to authentically capture the scene. The polar shine silhouette reminds the photographer of the mathematical “golden ratio”. Noviy Urengoy, Russia, 28 September 2016 Canon 5D Mark III camera, 24 mm f/2.0 lens, ISO 2000, 4-second exposure. (Photo by Kamil Nureev/Insight Astronomy Photographer of the Year 2017)

“Aurorae”. Highly commended: Aurora Shot from Plane by Ye Ziyi (China) The vivid green aurora swirls over the deep, blue sky and the orange glow of twilight as seen from the window of a plane travelling from Amsterdam to Beijing. The photographer had been expecting an auroral outburst to occur during the flight, so paid for the seat that was best for observing. As well as the strong auroral activity, the photographer was also blessed with a white night making twilight visible on the horizon. Novosbirsk, Russia, 24 August 2016 Canon EOS 6D camera, 20 mm f/1.8 lens, ISO 2000, 3-second exposure. (Photo by Ye Ziyi/Insight Astronomy Photographer of the Year 2017)

“Galaxies”. Winner: M63 – Star Streams and the Sunflower Galaxy by Oleg Bryzgalov (Ukraine) A bright, spiral galaxy, Messier 63 looks like a star necklace in which the stars have crashed outwards from the galaxy’s centre, producing this fantastic long train. The ghostly star arcs of the Sunflower galaxy had long been an elusive target for the photographer, finally shot in one of the darkest places in Europe. Rozhen Observatory, Smolyan Province, Bulgaria, 6 April 2016 10-inch f/3.8 homemade reflector telescope at f/4.4, Whiteswan 180 mount, QSI 583wsg camera, 22-hour total exposure. (Photo by Oleg Bryzgalov/Insight Astronomy Photographer of the Year 2017)

“Galaxies”. Runner up: NGC 7331 – The Deer Lick Group by Bernard Miller (USA) NGC 7331 is an unbarred spiral galaxy found some 40 million light years away from Earth, in the constellation Pegasus. Of the group of galaxies known as the Deer Lick Group, NGC 7331 is the largest, and can be seen dominating the image whilst the smaller galaxies NGC 7335, NGC 7336, NGC 7337, NGC 7338 and NGC 7340 drift above it. Animas, New Mexico, USA, 30 October 2016 PlaneWave CDK-17 17-inch reflector telescope at f/6.8, Paramount ME mount, Apogee CG16M camera, 18-hour total exposure. (Photo by Bernard Miller/Insight Astronomy Photographer of the Year 2017)

“Galaxies”. Highly Commended: NGC 4565 – Needle Galaxy by Andriy Borovkov (Ukraine) NGC 4565 in the constellation of Coma Berenices, approximately 40 million light years away, is known as the Needle Galaxy and is more luminous than our neighbouring galaxy, Andromeda. As we look at this galaxy from the side on Earth, the spiral arms are in a ray. Elmshorn, Pinneberg, Schleswig-Holstein, Germany, 14 March 2016 UNC 30512 300 mm f/4 reflector telescope, Sky-Watcher EQ8 mount, Moravian Instruments G2-8300 mono camera, 9.-hour total exposure. (Photo by Andriy Borovkov/Insight Astronomy Photographer of the Year 2017)

“Our moon”. Winner: Blue Tycho by László Francsics (Hungary) This hyper-saturated picture shows our lunar surface in a new light. The Tycho Crater, has a bluish shade that is characteristic of the youngest craters on the moon. Budapest, Hungary, 12 December 2016 250 mm f/4 reflector telescope at f/10, Sky-Watcher EQ6 mount, ZWO ASI290MM and Sony SLT A99V cameras, composite of 5000 monochrome frames and 50 colour frames. (Photo by László Francsics/Insight Astronomy Photographer of the Year 2017)

“Our moon”. Runner up: Evening in the Ptolemaeus Chain and Rupes Recta Region by Jordi Delpeix Borrell (Spain) A close up of the craggy face of the moon, shows the south central lunar face is dominated by the magnificent chain of walled plains: Ptolemaeus, Alphonsus and Arzachel. L’ Ametlla del Vallès, Barcelona, Spain, 25 August 2016 Celestron C14 355.6 mm f/11 Scmidt-Cassegrain telescope at f/19, Sky-Watcher NEQ6 Pro mount, ZWO ASI 174MM camera, 500 of 6600 frames stacked. (Photo by Jordi Delpeix Borrell/Insight Astronomy Photographer of the Year 2017)

“Our moon”. Highly commended: Mauna Kea Moonset by Sean Goebel (USA) A giant moon looms behind the telescopes atop the snow-capped dormant volcano, Mauna Kea. Despite being in Hawaii, Mauna Kea is tall enough (4,200m) to accumulate snow during the winter. The telescopes are, from left to right, the UK Infrared Telescope, the University of Hawaii 2.2m telescope, Gemini North, and Canada France Hawaii Telescope. Hilo, Hawaii, USA, 13 January 2017 Canon EOS 7D Mark II, 1000 mm f/11 lens, ISO 320, 1/500-second exposure. (Photo by Sean Goebel/Insight Astronomy Photographer of the Year 2017)

“Our sun”. Winner: Mercury Rising by Alexandra Hart (UK) On 9 May 2016, the Transit of Mercury occurred, with the smallest planet in the solar system passing directly between the Earth and the sun over the course 7.5 hours – the longest transit of the century. Mercury can be seen towards the centre of our star in the image as a tiny black dot. Preston, Lancashire, UK, 9 May 2016 TEC140 140 mm f/7 refractor telescope at f/9.8, Solarscope DSF100 H-alpha filter, Sky-Watcher EQ6 Pro mount, PGR Grasshopper 3 camera, stacked from multiple exposures. (Photo by Alexandra Hart/Insight Astronomy Photographer of the Year 2017)

“Our sun”. Runner up: Solar Limb Prominence and Sunspot by Eric Toops (USA) A striking image of a searing solar limb prominence and sunspot on the surface of our star, taken during the spring of 2016. Using Lunt H-alpha filters in a custom-made telescope the photographer was able to bring out the details of the solar activity using high magnification. Several photos were stacked to stabilize the image and the “seeing conditions” (the blurriness of the Earth’s atmosphere). Hoschton, Georgia, USA, 19 April 2016 Home-made telescope, Point Grey GS3-U3-60S6M camera. (Photo by Eric Toops/Insight Astronomy Photographer of the Year 2017)

“Our sun”. Highly commended: Ghostly Sun by Michael Wilkinson (UK) The sun photographed in Calcium-K light, depicting the star’s inner chromosphere. In the colour-rendering scheme used, the surface is shown as negative, with the sunspots as bright spots, but the area outside the limb is shown with increased contrast, highlighting a surge on the western limb, and several small prominences. Groningen, Netherlands, 4 April 2017 APM 80 mm f/6 refractor telescope, Vixen Great Polaris mount, ZWO ASI178MM camera, stack of 400 frames. (Photo by Michael Wilkinson/Insight Astronomy Photographer of the Year 2017)

“Planets, Comets and Asteroids”. Winner: Venus Phase Evolution by Roger Hutchinson (UK) The changing face the planet Venus as it grew from 86.6% illuminated and 11.9 inches in diameter on the 25th September 2016, to 1% illuminated and 59.3 inches in diameter six months later. The images were taken with the same setup, so the changing size of Venus, as it approached the point between us and the sun, is apparent. London, UK, 25 March 2017 Celestron C11 EdgeHD 355.6 mm f/10 reflector telescope, Celestron CGE Pro mount, ZWO ASI174MM camera, composite of panels stacked from multiple exposures. (Photo by Roger Hutchinson/Insight Astronomy Photographer of the Year 2017)

“Planets, Comets and Asteroids”. Runner up: Retrograde Mars and Saturn by Tunç Tezel (Turkey) The paths of the planets Mars and Saturn shown swooping through the night sky, over a period of 11 months in 2016. Last year was a special year for monitoring the two planets because they spent the year close to each other, north of Antares in Scorpius. The planets were photographed on 46 different dates over 11 months, roughly once per week. Pulau Plun, Halmahera, Indonesia, 9 March 2016 Canon EOS 6D camera, 50 mm f/3.5 lens, ISO 3200, composite of multiple exposures. (Photo by Tunç Tezel/Insight Astronomy Photographer of the Year 2017)

“Planets, Comets and Asteroids”. Highly commended: Near Earth Object 164121 (2003 YT1) by Derek Robson (UK) On 31 October 2016, Near Earth Asteroid 164121 (2003 YT1) made a close encounter with Earth at 3 million miles. This Apollo asteroid with an orbital period of 427 days was discovered by the Catalina Sky Survey on 18 December 2003. The photographer’s first attempt at imaging the asteroid was done with a camera on a fixed tripod, controlled by Astrophotography Tool software. Loughborough, Leicestershire, UK, 2 November 2016 Canon 1100D, 300 mm f/5.6 lens, ISO 1600, 56 x 25-second exposures. (Photo by Derek Robson/Insight Astronomy Photographer of the Year 2017)

“Skyscapes”. Winner: Passage to the Milky Way by Haitong Yu (China) The serene sight of the dusky, Milky Way viewed through the minimalist outdoor passageway of LAMOST (the Large Sky Area Multi-Object Fibre Spectroscopic Telescope) at the National Astronomical Observatory of China. Shot with an 85 mm lens, the image is a composite of a three-panel panorama, each one with a single exposure. Xinglong, Hebei Province, China, 9 April 2016 Sony ILCE-7s camera, 85 mm f/1.4 lens, ISO 10000, panorama of three 8-second exposures . (Photo by Haitong Yu/Insight Astronomy Photographer of the Year 2017)

“Skyscapes”. Runner up: Star Track in Kawakarpo by Zhong Wu (China) The stars beam down on to the Meili Snow Mountains, also known as the Prince Snow Mountains – the highest peaks in the Yunnan Province, China. It is world-renowned for its beauty and is one of the most sacred mountains in Tibetan Buddhism. The moonlight striking the top of the mountains appears to give them an ethereal quality. DeQin, Yunnan Province, China, 16 January 2017 Nikon D810 camera, 35 mm f/5.6 lens, ISO 200, 900-second exposure. (Photo by Zhong Wu/Insight Astronomy Photographer of the Year 2017)

“Skyscapes”. Highly commended: Nacreous Clouds by Bartlomiej Jurecki (Poland) A spectrum of colour rolls across the sky over Lofoten, Norway in the form of nacreous clouds, also known as mother-of-pearl clouds due to their almost shimmering appearance. Formed over the Polar Regions in the stratosphere, when the Sun is just below the horizon at sunset it will illuminate the clouds from below. Lofoten, Norway, 31 December 2016 Nikon D800 camera, 300 mm f/7.1 lens, ISO 10, 1/800-second exposure. (Photo by Bartlomiej Jurecki/Insight Astronomy Photographer of the Year 2017)

“Young Astronomy Photographer of the Year”. Highly commended: Milky Way above Alpe di Siusi/Dolomites by Fabian Dalpiaz (Italy – aged 15) The Milky Way stretches across the night sky above the Dolomites in South Tyrol at 5.00 a.m. on a really cold winter morning. Reaching the spot at 4.00 a.m. the photographer waited for the Milky Way to reach its highest position before it got brighter to capture this beautiful scene. Seiser Alm, South Tyrol, Italy, 25 February 2017 Canon EOS 5D Mark III camera, 50 mm f/1.8 lens, ISO 6400, 10-second exposure. (Photo by Fabian Dalpiaz/Insight Astronomy Photographer of the Year 2017)

“Young Astronomy Photographer of the Year”. Highly commended: Rosa Mountain by Andrea Imazio (Italy – aged 8) Taken during a crystal clear winter night as a single long exposure, this image shows the stars glistening above the Rosa Massif Mountain in the Alps. Gressoney, Aosta Valley, Italy, 3 January 2017 Nikon D5500 camera, 18 mm f/3.5 lens, ISO 1600, 20-second exposure. (Photo by Andrea Imazio/Insight Astronomy Photographer of the Year 2017)

“Sir Patrick Moore Prize for Best Newcomer”. Winner: The Cone Nebula (NGC 2264) by Jason Green (Gibraltar) A vivid deep-red image of the Cone Nebula, lying about 2,700 light years away in the constellation of Monoceros. The image consists of 20 x 10-minute exposures per filter and is an integration of LRGB (luminance, red, green and blue) and H-Alpha (hydrogen-alpha) filters. Frenegal de la Sierra, Badajoz, Spain, 10 January 2017 William Optics 132 mm f/5.6 apochromatic refractor telescope, Celestron CGE Pro mount, QSI 660WSG8 Mono CCD camera, 16 2/3-hour total exposure. (Photo by Jason Green/Insight Astronomy Photographer of the Year 2017)

“Robotic Scope”. Winner: Encounter of Comet and Planetary Nebula by Gerald Rhemann (Austria) A vibrant image showing the glowing green, comet C/2013 X1 PanSTARRS whizzing past the luminous pink and blue Helix Planetary Nebula, on 5 June 2016. This photograph was taken at an observatory on Tivoli Farm in Namibia, where the photographer installed a mount and telescope with a friend of his. Tivoli Farm, Khomas, Namibia, 5 June 2016 ASA Astrograph 12-inch N 300 mm f/3.6 reflector telescope, ASA DDM 85 mount, FLI Microline ML 16200 camera, 94-minute total exposure. (Photo by Gerald Rhemann/Insight Astronomy Photographer of the Year 2017)

“People and Space”. Winner: Wanderer in Patagonia by Yuri Zvezdny (Russia) A lone stargazer stares up at the stars of our galaxy, the Milky Way, as they stretch across the night sky over the glacier “White Stones” (Piedras Blancas) in the Los Glaciares National Park, Argentina. El Chaltén, Santa Cruz Province, Argentina, 27 September 2016 iOptron Sky-Tracker mount, Sony A7S camera, 18 mm f/2.8 lens, ISO 5000, 30-second exposure Wanderer in Patagonia. (Photo by Yuri Zvezdny/Insight Astronomy Photographer of the Year 2017)

“People and Space”. Runner up: The Cable Route of Half Dome at Night by Kurt Lawson (USA) The photographer along with fellow astrophotographer Sean Goebel embarked on a mission to shoot a night hike up the Cable Route of Yosemite’s incredible Half Dome. Nearly clear skies allowed for the capture of the movement of the stars above this incredible landscape and shooting it at night allowed them to capture the path up Yosemite’s famous granite icon. Yosemite National Park, California, USA, 29 August 2016 Sony α7R camera, 100 mm f/2.8 lens, ISO 500, 64-minute exposure. (Photo by Kurt Lawson/Insight Astronomy Photographer of the Year 2017)

“People and Space”. Highly commended: Interstellar Travel by Fu Dingyan (China) In an attempt to recreate feeling of travelling in space, the photographer escaped the lights of the city and ventured to Réunion Island, located off the coast of Madagascar. Dressed in a spacesuit, standing under the southern Milky Way and the Large and Small Magellanic Clouds, the photographer resembles an interstellar traveller Réunion Island, France, 3 September 2016 Nikon D4S camera, 14-24 mm lens at 14 mm f/2.8, ISO 500, 30-second exposure. (Photo by Fu Dingyan/Insight Astronomy Photographer of the Year 2017)

(C)

[waterme-stories]

"Tiny Observations" pt. 1

For @ageplay-may 2022

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Tiny Observations

A few small adventures from the Spideypool Holiday Special. May is "Date Your Mate" Month, and today is National Hoagie Day (for the sandwich they will eat while they do aftercare).

Creator: WaterMe-Stories Fandom: Spider-Man x Deadpool Rating: Teen Word Count: 100 Tags/Warnings: Daddy Kink, nonsexual

Day and Prompt: Day 5: Safeword Challenge: Hopscotch, D's Get Degrees, Spice & Sugar

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“Safeword,” said Peter, and Wade was immediately at his side. Peter wiped sweaty palms on his apron. “I’m sorry, I just…”

Wade was wearing a onesie of his favorite Pokemon, giant enough that he felt small in its soft folds. It was perfect for scooping up his tiny Daddy, for wrapping him in broad arms and warm yellow fleece.

Peter sniffled. “I can’t do it. I’m so sorry, babe. I just need…”

“You just need your daddy,” Wade finished. 

“You deserve a daddy, too.”

Wade kissed Peter’s sad head. “We’ll find one for me. Don’t you worry, baby. Daddy’s here.”

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|| Part 2

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 4

For @ageplay-may 2022

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Tiny Observations

A few small adventures from the Spideypool Holiday Special. May is "Date Your Mate" Month, and, uh, I couldn't find a good holiday for today. Happy Wednesday <3

Creator: WaterMe-Stories Fandom: Deadpool x Cable Rating: Teen Word Count: 100 Tags/Warnings: Daddy Kink, non-sexual ageplay, bad childhoods

Day and Prompt: Day 11: “Please Don’t” Challenge: Hopscotch, D's Get Degrees, Spice & Sugar

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“Please don’t!” Wade pled. Lemonade seeped, highlighter yellow, into white carpet.

Nate rubbed his temples. “Kiddo. You’ve been picking at me all fucking day. I think when you were small, you got punished whether you were bad or good. So now you try to hurt the people who love you, before they can hurt you. But I raised the most powerful mutant toddler on earth. She was a holy terror. If you think you can do anything to make me stop loving you, you don’t know me at all.”

“Please don’t stop, Daddy,” Wade sniffled into Nate’s neck.

“Never ever.”

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Part 3 || Part 5

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 10

For @ageplay-may 2022

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Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories Fandom: Spider Man x Deadpool, Spider Man & Hulk Rating: Teen Word Count: 100 Tags/Warnings: Nonsexual Ageplay, shenanigans

Day and Prompt: Day 30: Uncles and Aunts Challenge: Hopscotch, D's Get Degrees

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“Do I want to know how this started?” Stark asked, rubbing his temples.

“You really don’t,” chirped Wade, “but I’m happy to explain!”

“Uncle Hulk, Uncle Hulk,” cried Spidey, chasing the Hulk down the wrecked street. The Hulk tossed a small sedan at Spidey, who webbed it easily to the side. 

Stark winced. That was totaled when they got there. Right?

Spidey was now demanding his Uncle Hulk “throw me higher,” apparently unsatisfied with being bounced nearly into the stratosphere.

“You see, when two scientists love each other very much…”

Stark groaned and turned his back on the entire scene.

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Part 9 || Part 11

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 2

For @ageplay-may 2022

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Tiny Observations

A few small adventures from the Spideypool Holiday Special. May is "Date Your Mate" Month, and today is No Pants Day (for serious--look it up).

Creator: WaterMe-Stories Fandom: Deadpool x Cable Rating: Teen Word Count: 100 Tags/Warnings: Daddy Kink, nonsexual, canon-typical violence

Day and Prompt: Day 6: Blanket Fort Challenge: Hopscotch, D's Get Degrees

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“Wade, when I said ‘set up fortifications’…” Nate started.

The zing of a bullet interrupted him, accompanied by a poof of feather down.

“Don’t you like my blanket fort, Daddy?”

“There’s a time and place. And on the job is not — By the bright lady, you’re not even wearing pants!”

Wade’s eyes went big and wet. “But it’s No Pants day.”

Nate opened his mouth. Closed it. He sighed and pulled out a grenade. “It’s the best blanket fort I’ve ever seen. Now what say we take down these bad guys, champ, and then build it up even better?”

“Pew pew!”

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Part 1 || Part 3

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 9

For @ageplay-may 2022. And for @atemy, who fuckin' loves locking Littles in closets (great with kids!)

Today is “Don’t Fry Day” (the Friday before US Memorial Day), which is an annual reminder to wear sun protection and take care of your skin! Fun fact: The best way to help your Little avoid skin cancer is to lock them in a closet.

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Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories

Fandom: Spider Man x Cable

Rating: Mature

Word Count: 100

Tags/Warnings: Ageplay, Impending Kink, an air of menace

Day and Prompt: Day 27: Locked In A Closet

Challenge: Hopscotch, D's Get Degrees

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“D-Daddy?” warbled Petey. “Daddy, it’s dark!”

The closet walls loomed, the space both immense and suffocating. Monsters lurked in every shadow. Petey shivered and curled tight around himself, considering the kind of trouble he would be in if he rattled at the doorknob.

“Daddy!” he called again. “Daddy, are you there?”

“Your Daddy’s not here, sweetheart.”

The gravelly voice through the door made Petey’s stomach dip.

“U-Uncle Nate?”

“Your Daddy left you, honey. It’s just me and you.”

Petey shrank against the back wall, heart pounding. All of a sudden, the darkness of the closet felt a whole lot safer…

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Part 8 || Part 10

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 5

For @ageplay-may 2022, and for National Slider Day.

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Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories Fandom: Spider-Man x Deadpool x Cable Rating: Teen Word Count: 100 Tags/Warnings: Daddy Kink, non-sexual ageplay, food kink, puns

Day and Prompt: Day 15: “Roleplay” Challenge: Hopscotch, D's Get Degrees, Spice & Sugar

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The scent of yeast warmed the apartment. Little Petey’s hands twitched toward the napkin-covered plate.

“Not till Daddy gets here!” Wade chastised.

On cue, the door slammed open to reveal Nathan “SexyBack” Summers, dressed like one of the Village People and wielding fuzzy handcuffs.

“What are you wearing?” asked Wade

“Aren’t we doing roleplay?”

“Pft. No, Daddy. We’ve been losing subscribers, posting to this series without food kink!”

Wade withdrew a freshly-baked dinner roll.

“I said we’re doing roll play!”

He pelted it at Nate, bolting away. With a groan, Nate took pursuit.

(Petey, meanwhile, started on his third roll.)

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Part 4 || Part 6

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 6

For @ageplay-may 2022, and for "Visit Your Relatives" Day

This is the teaser for an entire fic! You can read it here (mind the tags)

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Tiny Observations

A few small adventures from the Spideypool Holiday Special.

Creator: WaterMe-Stories Fandom: Spider-Man, Avengers, Peter Parker x Bruce Banner Rating: Mature Word Count: 100 Tags/Warnings: Fade-to-Black, k!nk, Stone Top Bruce, Little Peter

Day and Prompt: Day 18: “Bring Your Kid To Work Day” Challenge: Hopscotch, D's Get Degrees, Spice & Sugar

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“That was so cool!” Anna Maria squealed. “How about some post ‘you totally got us invited to Stark Tower to nerd out about genetics with Dr. Cho’ drinks?”

Peter scuffed his respectably adult dress shoe. “Uh. I’m actually gonna go talk to Dr. Banner. Thank him for inviting us.”

“I see where I stand,” she said, hugging him goodbye. 

In the elevator, Peter’s stomach twisted. By the time the door opened, his palms were clammy and he felt eye-level with the elevator buttons. 

“Hello, Petey,” said Dr. Banner. Calm, so calm. “It seems like you owe me a big favor.”

(read the rest here!)

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Part 5 || Part 7

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

"Tiny Observations" pt. 3

For @ageplay-may 2022

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Tiny Observations

A few small adventures from the Spideypool Holiday Special. May is "Date Your Mate" Month, and today is National Babysitters Day. It's also the Kentucky Derby so, uh, knock yourselves out imagining what Petey's running to get.

Creator: WaterMe-Stories Fandom: Spider-Man x Deadpool x Cable Rating: Mature Word Count: 100 Tags/Warnings: Daddy Kink, Dominant Little, fade-to-black

Day and Prompt: Day 7: Dominant Little Challenge: Hopscotch, D's Get Degrees

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“Is it always like this?” asked Nate.

“Mmmf mm-mmf mmf!” 

“Now that he’s tied to the train tracks,” Petey said. “Guess what happens next?”

His Uncle Nate knelt down. “Is the train coming?”

“The train is coming!” 

“What’s the train look like, kiddo? Does it look like some of the mean things your Daddy’s done to you while you were small?”

Petey’s eyes got wide and he ran from the room, foot landing square on the white cotton ropes that criss-crossed Wade’s solar plexus. Wade oofed, and spat out his gag.

“Natey-poo, I am never hiring you to babysit again.”

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Part 2 || Part 4

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(use tags "#agepl4y may works" and "#apm: tiny observations" to see all my work for the month!)

[waterme-stories]

My Ageplay May 2022 Masterlist

I can't believe I managed the whole month! I had a blast, and writing 100 word drabbles has really tightened up my writing. Here are all my works!

"Unforgettable You"

E, 1100 words, Wade Wilson x Peter Parker No Way Home spoilers, Underage, Daddy Kink

(read on Ao3) (#apm: unforgettable)

Peter likes bubble baths, but pretends he doesn't. Wade knows what growing up too fast looks like, and it looks like Peter. (Spideypool, post-No Way Home)

"Lolita, Beloved"

E, 1100 words, Original Female Character x Original Male Character Sexual Ageplay, Daddy Kink, CNC

(read on Ao3) (#apm: lolita beloved)

They say I am too old to be held, but you hold me like the vast sea holds the tiniest fish. (Original Work)

"Tiny Observations"

E, 1100 words, Nathan Summers x Wade Wilson x Peter Parker Sexual Ageplay, Daddy Kink, Switching, CNC

(read on Ao3) (#apm: tiny observations)

Peter, Wade, and Nate have a few small adventures. (The Spideypool Holiday special. Spideypool, Cablepool, Peter Parker/Bruce Banner)

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Tiny Observations One Shots:

"Bring Your (Inner) Child To Work Day" (Bruce Banner x Peter Parker) E, 1770 words, dubious consent fantasy, sexual ageplay

Peter owes Dr. Banner a big thank you.

"Soak" (Nathan Summers x Wade Wilson) E, 476 words, watersports, sexual ageplay

Nate forces Wade to be his messy, messy baby.

"Only A Paper Moon"

T, 648 words, Marc Spector x Steven Grant x Jake Lockley Non-Sexual Ageplay, DID System Dynamics

(read on Ao3)

Steven just wants to give Marc a few good childhood memories. Sometimes, even the best laid plans change… (Moon Knight System, "Chosen Family")