I've been thinking about getting into cast iron cooking. I need a new skillet, and I've seen recommendations for cast iron, but some things seem daunting:

• Seasoning. How bad is it really? Did you purchase a pre-seasoned pan and just cook with it? Do you re-season occasionally? How often? What oil do you use? What is your process?
• Cleaning. How do you clean your skillet? Soap and water? How do you know when you are done cleaning? What materials do you use?
• Unknowns. What did you not know until you started cooking with cast iron? Any surprise benefits/costs?

Have any of you used cast iron, then returned to Teflon or stainless steel after being disappointed in the experience? What are the biggest differences between cooking with cast iron and other materials?

Considering that non-stick manufacturing poses environmental risks, and iron may provide a net positive effect for folks needing more iron in their diet, it seems like this is a natural way to go.

Tildes is a very serious site, where we discuss very serious matters like steam machine, ipo and fathers. Tags culled from the highest voted topics from the last seven days, if anyone was alert.

But one of my favourite tags happens to be offbeat! Taking its original inspiration from Sir Nils Olav III, this thread is looking for any far-fetched offbeat stories lurking in the newspapers. It may not deserve its own post, but it deserves a wider audience!

Inspired by the recurring topic every Steam sale over at /r/GameDealsMeta:

• What are some lesser-known or overlooked Steam games that you recommend?

• Are there any genres you’d like hidden gem recommendations for?

If you're interested in previous Hidden Gem topics, you can find them here.

For popular recommendations and general purpose sale discussion, please use the main Steam sale topic.

Optional: Feel free to categorize your recommendations by number of reviews (as a proxy for popularity)

Add awesome game deals to this topic as they come up over the course of the week!

Alternately, ask about a given game deal if you want the community’s opinions: e.g. “What games from this bundle are most worth my attention?”

Rules:

• No grey market sales
• No affiliate links

If posting a sale, it is strongly encouraged that you share why you think the available game/games are worthwhile.

All previous Save Point topics

If you don’t want to see threads in this series, add save point to your personal tag filters.

Important: This will be a noisy topic. If you do not wish to see it in your feed, please use the Ignore feature to hide it!

Tip: If the large number of comments are cluttering up the topic and you just want to see the main giveaway posts, click Collapse Replies at the top of the comments.

It’s time for annother edition of our biannual Game Giveaway topics! Share games with the community and get rid of those extra bundle keys you have lying around.

Before you participate, please make sure you read the rules below.

Rules

-Gifters

Post your available games, the platform and method of delivery, rules for your giveaways (e.g. first-come first-serve, random draw, etc.), and any additional info or requirements. Feel free to get creative!

-Giftees

Request giveaways. Please make sure you follow the gifter's posted guidelines.

-Guidelines

Anyone can choose to be a gifter, giftee, or both! Giveaway rules are set by individual gifters, but there are handful of guidelines everyone should follow:

1. No grey market keys! Only give away games from reputable sources. If you're not sure what this means, please ask.
2. Requests for games should be done in this topic, but if the gift is a key, those should be delivered by PMs only. Please don't post keys publicly in this topic, even obfuscated ones.

If you're new to these, check out previous giveaway threads to see how these usually go.

I haven't been closely following the releases of new models and the research papers that sometimes go along with them. So I was wondering: is power consumption ever seriously talked about by OpenAI, Google, Anthropic, and others? Do we get some specific numbers of how much power their models actually consume to produce 100 tokens? The cost of training some of these models? Or we're not yet at that stage yet and nobody cares and at best we can just get really rough estimates based on "trust me bro" tweets by their respective CEO's?

Some time ago, I came across this post. GPT-OSS (2OB, 120B) are meager, yet energy efficient models and I was surprised that the power consumption is still larger than what I had estimated before.

For 120B to generate a 1000 tokens (which is really not a lot) it would take up around 83 Wh of electricity. For context my PC consumes ~100Wh when idling. So it's almost equivalent as leaving my PC on for an hour. Considering that proprietary models are TRILLIONS of parameters and probably not as energy efficient the true power consumption of these models is concerning. Of course, these big data centers do a lot of things to maximize the efficiency that this "test" fails to do. But even if you half the energy consumption it's still significant given their size and their pervasiveness in handling everyday, trivial tasks.

I haven't come across similar posts or studies for newer open source models, so if somebody has, please share.

Also, I don't seem to fully understand how does context size fit into all of this. The larger the context size the more power it would take to produce those 100 tokens?