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braydenm

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Can I use AI to get on the global leaderboard? Please don't use AI / LLMs (like GPT) to automatically solve a day's puzzles until that day's global leaderboards are full. By "automatically", I mean using AI to do most or all of the puzzle solving, like handing the puzzle text directly to an LLM. The leaderboards are for human competitors; if you want to compare the speed of your AI solver with others, please do so elsewhere. (If you want to use AI to help you solve puzzles, I can't really stop you, but I feel like it's harder to get better at programming if you ask an AI to do the programming for you.)

It's unclear what model was used for the outputs mentioned in the article, but here's the short story that Claude gave me for the same prompt: --- Here is a dystopian short story in the style of Margaret Atwood set in Canada:

The Snows Came Early That Year

The snows came early that year, blanketing the prairies in white before the harvest was complete. I awoke to howling winds rattling the panes of my solitary cabin, the radio readout blinking ominously, batteries too weak to check the weather reports again. I shuffled outside in layers of wool and coveralls, squinting against the icy gusts, to find the chicken coop door ripped clean off. Feathers and blood painted the snow crimson. The four hens I had left were gone, with only scattered tracks and droplets leading into the tree line to indicate the predator's escape.

I cursed under my frosted breath, the bitter wind stealing away my words. Food had already been scarce, each winter harder than the one before. I shuttered the coop and turned back inside just as the power flickered and went out. Now there was no heat, no light, no way to cook. The solar panels would be useless under the heavy snows.

As I sat wrapped in furs, watching my breath turn to plumes of smoke in the gloom, I made a plan to walk to town when the blizzard passed. Perhaps barter some handicrafts for a few days of rations. The trek would be risky, but staying here held a different kind of peril. The food stocks in my locked pantry were dangerously low. There was no choice but to go.

The Katskil wolves would likely be on the prowl, their numbers multiplying as the animal population declined. Stay to the road, move quick, keep head down. Don't attract attention. Don't look too frail, too thin, too cold. The robotic guards at the checkpoints would be indifferent to my starvation, but opportunistic thieves might not. This was the world we inhabited now. Hold fast to what is yours. Trust no one. Every day another fight to survive. My grandmother's voice echoed in my mind...from her days before the collapse: "Don't lose hope, girl. It's always darkest before the dawn." But that was in another era, now lost to us. There were no more dawns ahead, only the howling dark.

Pixel 8 Pro 3 years ago

Is there any word on whether the modem has moved to a different supplier? I previously suffered challenges having to soft-reset Pixel 6/7 to "Fix Connectivity" fairly frequently.

Given recent discussion on what super intelligent machines might mean and whether they're even possible in the first place I thought I'd link to this hyperbolic throwback that is still relevant even as the broader discourse starts to think more seriously about this topic 5 years later.

I work at Anthropic, and we're hiring a Prompt Engineer & Librarian [1]. Expected salary range for this position is $175k - $335k/yr. Please apply if you could be a good fit based on the job posting. And no, we don't require "seven years of experience in prompt engineering" - but we would be looking for other signals that help differentiate your strengths in this emerging field.

[1] https://jobs.lever.co/Anthropic/e3cde481-d446-460f-b576-93ca...

NON-LINEAR STORYTELLING December 2014 (30 hours) > In winter of 2014, I applied for a job in the Creative Department at Wizards of the Coast, working on storylines for the Magic: The Gathering trading card game. This was a supplemental piece submitted with my application, meant to demonstrate creativity, world-building, and outside-the-box-thinking.

I've used this annual planning/reflection doc every year and have found it a refreshing way to put my life into perspective and reset for a new year. Hoping you find this useful too.

Alternate download link: https://drive.google.com/open?id=0B2PaeRjVqAN7MngxTXFPQkpLVj...

Spreadsheet for filling in: https://docs.google.com/spreadsheets/d/1f5y9YjbOB5ixeQHFyUEp...

Plain Text: https://pastebin.com/raw/V7FaFS0Q

Past Submission: https://news.ycombinator.com/item?id=13249796

I tried a modification of your suggested prompt, here was the response (only the first and third were written by me. The rest were generated using the aidungeon.io dragon model using a parameter of randomness = 0.6. All of this was done 'one-shot' with no rerolls):

A delightful and surprisingly sophisticated presentation was given at the Hacker News event in Kansai. The presentation's clever title and subtitle was:

The Future of Software Development: How to Build a Better Human Being with Artificial Intelligence (AI)

Each of the charming and witty slides in the presentation is described below. The first presentation slide had

the following caption:

In this world, we are all programmed by our programming languages. We have been taught that these languages are good enough for us. But what if they aren't? What if there were another way? A better way? And how would you go about doing it? This talk will explore some of those possibilities and more. It will also discuss some of the philosophical issues surrounding AI and human-computer interaction as well as some practical aspects of building such an application.

This slide was followed by a series of slides which showed various examples of how artificial intelligence could be used to improve people. These included:

• Using AI to help people with learning disabilities learn new things. • Helping people who suffer from depression or anxiety disorders feel less anxious or depressed. • Improving the quality of life for the terminally ill through medical diagnosis and treatment. • Providing assistance in helping children with autism develop their social skills and communication abilities.

The presentation then went on to discuss some of the challenges that needed to be addressed in order to create such an AI. These included:

• Ensuring that the AI was safe and would not be able to take over the world or otherwise do harm to humans. • Ensuring that the AI was effective in helping people achieve their goals and better themselves.

The presentation then described a prototype system that had been developed by the speaker's team at the University of Tokyo. This system was able to assess a person's personality and goals and then provide them with guidance on how to achieve those goals. The system used AI technology based on a neural network trained with textual data from psychology papers as well as open source repository data from GitHub. The system was still in the prototype phase, but initial testing had been promising.

The presentation then concluded with a discussion of some of the speaker's personal views on the future of AI. The speaker felt that, while there were many challenges to creating safe and effective AI, he was optimistic that these could be overcome within his lifetime. He also felt that such AI would be an important tool in helping humanity achieve its potential.

The presentation was met with a mixed response from the audience. Some felt that the speaker was overly optimistic about the potential for AI. Others felt that the speaker's views were not optimistic enough and that he was ignoring some of the potential dangers of AI.

The speaker was then asked to respond to some of the audience's concerns. He agreed that there were some potential dangers to creating AI, but he did not feel that these were cause for undue concern. He pointed out that many of the concerns raised by AI risk advocates had been addressed by open research and debate. He also felt that the potential benefits of AI technology far outweighed any potential dangers.

The speaker was then asked about the implications of his work for society. He responded that he hoped that his work would help people achieve their goals and improve their lives.

Although there are many cynics, it's quite remarkable the impact on the world donations can have. Here's what their foundation has actually been doing with the money: https://www.gatesfoundation.org/Who-We-Are/Resources-and-Med...

I wouldn't be surprised if private donations will eventually be responsible for the eradication of Malaria (1000 deaths daily, much more suffering and cost to society).

If you're in tech you're likely to be in a great position to create value beyond your company. For example, donating equity from your startup or a fraction of your income to the charities that can prove they are having the most cost effective impact on the world: https://founderspledge.com/ https://www.givingwhatwecan.org/pledge/

Lyft | Data Engineer / Analysts | SF | ONSITE, VISA, www.lyft.com/jobs

I'm hiring Data Engineers and BI Analysts, as our BI team grows 3x this year. You'll be working on scaling new BI applications, ETL pipelines and tooling, and data warehouses for users across the company.

If you're looking for roles in Engineering, Operations, or Growth, more roles are posted at lyft.com/jobs

The Effective Altruism community is a group of a few​ thousand people that have been attempting to do this for the last few years. Organizations like GiveWell.org (giving money) or 80000hours.org (giving time) have proved immensely helpful in my career and donation life choices.

Lyft | Business Intelligence Engineer | SF | ONSITE, VISA, www.lyft.com/jobs

We are hiring Business Intelligence Engineers, and BI Analysts, as our BI team grows 3x this year. You'll be working on scaling new BI applications, ETL pipelines and tooling, and data warehouses for users across the company.

If you're looking for roles in Engineering, Operations, or Marketing, more roles are visible at lyft.com/jobs

Location: San Francisco (Fulltime + Remote Ok + No Relocate)

Technologies: SQL, Data (Excel, Looker, Python, R), Matlab, some C, plenty of engineering tools. Picks up new tech as required.

I'm a startup Data Analyst looking for product/operations focused teams. My education was in Physics and Mechanical Engineering, and my background in transport.

I'm really passionate about global scale impact - if you are trying to build something small that eventually will optimize at least one part of the world, then I want to share your vision.

You need someone who: Is relentlessly driven to improve our models of the world with evidence, takes effectiveness seriously, types colemak, and gets motivated every morning to drive humanity forward. I'm all about human connection, dodging cognitive biases, and understanding our weaknesses so we can find a way to make them our strengths.

You have: A team working on a technical solution to at least one problem facing humanity, and can offer a start date before Feb 2015.

Résumé/Website/Contact: braydenmclean.com

San Francisco Bay Area, Full Time. I've moved to the Bay from Australia in March.

Stack: Python, R, C, SQL, Excel, VBA, Matlab, [other: learns fast]

Resume + Contact: https://brayden-mclean.squarespace.com/s/braydenmclean-resum...

I'm a data analyst with a background in mechanical engineering. I've worked extensively in the transport sector, but I'm really passionate about startups and want exposure to product teams. As long as you are trying to optimize at least one part of the world, I'm in. [Optimizing the whole world comes later, and, hey, we all need to start somewhere.]

You need someone who: Takes effectiveness seriously (I founded and scaled two meetup groups on this topic); updates models and frameworks frequently and dodges cognitive biases like a boss; types colemak; is driven by long term benevolent goals to drive humanity forward. I'm also pretty well networked for a new arrival and will invite everyone to the meetups I'll be cohosting.

You have: A team working on a cool technical solution to at least one problem facing humanity; the patience to sponsor my E3 visa application and wait the 3-4 weeks it takes before I can start work.

Keywords: AI, wearables, transport, bayesian statistics, instrumental rationality