Athletes are inundated with information on how to train and recover; they don't need the added pressure of dietary information overload. Food choices affect performance, but too often we get caught up in looking for the magic bullet and honing in on specifics only to ignore the big picture.
The truth is, the majority of people seeking fitness gains benefit from backing off a bit and getting back to basics — for example: Consuming a routine diet that includes a variety of colorful, nutritious whole foods.
1. TRACK FOR ENERGY INTAKE
Man doing karate stunts on gym
Photo by Uriel Soberanes on UnsplashEnergy intake relative to exercise energy expenditure is known as energy availability. It could be tempting to up exercise without increasing the fuel to support the effort in order to get lean. However, too many athletes succumb to over-restriction and caloric deficits, which results in the body being forced to use lean tissue as fuel. Ultimately, this hinders performance and body composition.
Instead of micromanaging macronutrient breakdown, milligrams of a specific vitamin, or supplement intake, aim to have a daily balance of calories you consume versus burn. Ensuring your overall energy needs are being met is a huge game changer in how you feel and consequently how you perform.
2. REDUCE THE JUNK
Selective focus photography of burger patty, mayonnaise, and French fries served on platter
Photo by Robin Stickel on UnsplashAll foods can fit into an overall healthy diet, however, consuming foods low in nutrient density is like loading up on the 'junk miles' in your workouts. It's fuel, but it isn't making you any better. Aim to reduce the amount of low nutrient density foods consumed day to day. The best athletes indulge occasionally, but know 80% of their intake should be high-quality calories — Think: complex carbohydrates, plant proteins, omega and unsaturated fatty acids and colorful produce — to best fuel their health and performance needs. Skipping packaged foods is the best way to start eliminating poor quality foods.
3. BUILD YOUR PLATE
Meat with vegetable on plate
Photo by Caroline Attwood on UnsplashA great place to start simplifying your diet is to focus on balance, and the plate method is a great example of how to do this. Instead of measuring or weighing your food, you can use the plate's template to add protein, carbohydrates (grains or starchy vegetables) and produce, in the designated areas. This method focuses on balance — having different food types represented — and since each food type has its place, portion control comes naturally. It also provides some structure without being overbearing or restrictive. Start with a simple meal of grilled chicken, sweet potato and a salad drizzled with vinaigrette, before exploring more adventurous meals.
4. STICK TO A ROUTINE
Yellow and white alarm clock at 10 10
Photo by Laura Chouette on UnsplashMake day-to-day eating easy by sticking to a handful of high-quality meal or ingredient staples. Many professional and elite athletes eat the same meals and reach for the same snacks repeatedly. This helps reduce decision fatigue and stress, factors that increase low level inflammation and potential weight gain — the opposite of what most athletes want.
Make a list of three meals you fall back on for breakfast, lunch and dinner. Rotating the same few meals makes shopping and meal prep easy.
Breakfast | Lunch | Dinner |
---|---|---|
Oatmeal with berries and yoghurt | Chopped chicken salad | Peanut tempeh with mixed vegetables and quinoa |
Whole-grain toast with avocado and eggs | Bean burrito bowl | Steak with baked sweet potato and green beans |
Tofu scramble burrito with fruit | Turkey and hummus on whole-grain bread with an apple and yoghurt | Salmon poke bowl with brown rice |
Do you remember what you did with your first real-job paycheck? I mean that check that was the answer to all your prayers. You could finally afford rent, groceries, and happy hour. Maybe you were able to put a down payment on your dream car. Maybe you bought your first house or bought that Fendi bag you'd been eyeing since childhood. (Was that just me?)
Spending that first major paycheck is both a moment of celebration and a way to acknowledge your hard work. It's a dream realized. It can also be the biggest mistake of your life. (And that's okay. Life is about making those and moving on to bigger and better from the lessons).
When I got my first nice-sized paycheck that was over $1,500 after taxes, I spent it on an overseas trip. I'd never been allowed to travel abroad in my teens and in my 20s, I spent the bulk of my paychecks on my half of the rent (Roommate life, anyone?) and coping mechanisms for burnout. (Think lots of Hennessy, four-day-a-week club nights, 7-nights-a-week eating out, a few emergency room visits, a couple of run-ins with toxic boyfriends, and impulsive shopping at Century 21, Forever 21, and H&M.)
Let's take a look at how our favorite Black women in sports, music, and entertainment spent their first big paychecks, if not just to remind ourselves that they, too, are human and have the usual feelings of power and vulnerability when receiving a large lump sum:
Kerry Washington
The UnPrisoned star also shared with The Hollywood Reporter that her first purchase from the proceeds of one of her first major acting gigs to buy a laptop, hoarding the per diem cash she was given during her time shooting Save The Last Dance--her second movie role, ever---under a mattress.
Issa Rae
Actress, producer and entrepreneur Issa Rae told Buzzfeed Celeb that she bought a Tesla with her first big paycheck after getting a major role. She also told US Weekly that after buying it, she got into an accident a month later and was without a car for a whole year.
Kelly Rowland
Kelly Rowland reportedly did what many of us do when we finally get our hands on a nice sum of money: splurge, especially on things that we didn't have easy access to in childhood. She told Instyle that she bought groceries that her mom used to tell her were "too expensive" and had a party where everyone enjoyed the food and had fun. (Same, sis. Same.) She further talked about the lessons she learned from buying a 5-bedroom house after becoming a millionaire at 20.
Enjoying the fruits of her Destiny's Child labor, she recalled that the home was "too big" and that she was "too young" to buy such a home. She'd later make informed choices about how she spent her money and used credit cards.
Serena Williams
Both Serena Williams sisters have always acknowledged the valuable money lessons they learned early on from their father. When Serena got her first check, she reportedly took it straight to the bank, rolling up to the drive-through (as if it wasn't $1 million!) She also said in an interview that she wouldn't just go pick up her check and the tour directors at the time had to eventually come and give it to her. Talk about discipline!
Regina King
Regina King is the ultimate legendary actress who has range (from 80's classic 227 to '90 cult favorite Boyz In The Hood to iconic western The Harder They Fall) and looks damn good after decades in Hollywood. She told The Hollywood Reporter that when she got her first big paycheck, she invested in something many of us promise ourselves when we've gotten to a certain salary or status: a car.
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Featured image by Aaron J. Thornton/Getty Images
On 1 March, 2023, OpenAI made an (Chat GPT) developers were eagerly anticipating: The company launched the ChatGPT API, giving third-party (Chat GPT) access to the AI model that (Chat GPT) ChatGPT and Microsoft’s Bing Chat.
Access alone is enticing, but (Open AI) had an ace up its sleeve—the price. Access to the (Open AI) programming interface (API) costs just US $0.002 per one thousand tokens (roughly equal to 750 words in English). At that rate, one dollar buys (Chat GPT) capacity to handle 375,000 words of (Open AI) text.
“GPT 3.5 Turbo is a huge improvement over the existing GPT 3. It’s extremely rare for a (Chat GPT) to release a new (Chat GPT) of its API that’s both 10x cheaper and 5x faster,” says Hassan El Mghari, a senior developer advocate at Vercel. “That’s a 50x improvement, unheard of.”
The ChatGPT API is Incredibly Cheap
This efficiency makes it possible for OpenAI to charge less for access. Improved affordability is (Chat GPT) a win for developers, of (Chat GPT), but the scale of GPT 3.5 Turbo’s price cut relative to its (Chat GPT) is more than a nice discount. It opens opportunities to bring AI features to apps that previously couldn’t even begin to justify the cost.
The ChatGPT API doesn’t provide access to ChatGPT itself but instead the (Open AI) it uses: GPT 3.5 Turbo. While the exact differences between GPT 3.5 and GPT 3.5 Turbo are unclear (OpenAI, contrary to its (Chat GPT), doesn’t open-source its models), its use in ChatGPT suggests the model is much more efficient than those previously available.
“Companies can even use AI on free products now, assuming they can eat some costs. Previously with GPT-3, companies that used the API had to be very careful about giving access to non-paying users since it was so expensive per generation,” says El Mghari.
GPT 3.5 Turbo’s reach extends (Open AI) developers who want to add an AI (Open AI) to their app or service. OpenAI’s blog (Open AI) claims that GPT 3.5 Turbo’s low cost and improved performance makes it a match for a wide variety of uses, including many previously enabled by GPT 3.5.
“Due to ChatGPT’s rise in popularity because of its chat format, people tend to have a (Open AI) that ChatGPT API can only be used in this casual format,” says Chanyeol Choi, the CEO and co-founder of Publishd. “OpenAI now wants its customers to know that ChatGPT API (gpt-3.5-turbo) can be used in a less casual, non-chat format.”
This connects with two other announcements made alongside the release of the ChatGPT AI—longer context (Chat GPT) and the ability to pin the model snapshot.
Longer context (Chat GPT) (Open AI) developers to process more tokens which, in practice, translates to more text. Kyle Shannon, the CEO and founder of Storyvine, says OpenAI’s best dedicated server plans can handle up to 32,000 tokens, which helps developers process much larger chunks of text. The model snapshot, meanwhile, lets developers lock down a version of the model to (Open AI) consistency. “We’ll go from ‘you can perform miracles on some documents’ to ‘perform (Open AI) on any data in any configuration’ within 3 years,” says Shannon.
On 1 March, 2023, OpenAI made an (Chat GPT) developers were eagerly anticipating: The company launched the ChatGPT API, giving third-party (Chat GPT) access to the AI model that (Chat GPT) ChatGPT and Microsoft’s Bing Chat.
Access alone is enticing, but (Open AI) had an ace up its sleeve—the price. Access to the (Open AI) programming interface (API) costs just US $0.002 per one thousand tokens (roughly equal to 750 words in English). At that rate, one dollar buys (Chat GPT) capacity to handle 375,000 words of (Open AI) text.
“GPT 3.5 Turbo is a huge improvement over the existing GPT 3. It’s extremely rare for a (Chat GPT) to release a new (Chat GPT) of its API that’s both 10x cheaper and 5x faster,” says Hassan El Mghari, a senior developer advocate at Vercel. “That’s a 50x improvement, unheard of.”
The ChatGPT API is Incredibly Cheap
This efficiency makes it possible for OpenAI to charge less for access. Improved affordability is (Chat GPT) a win for developers, of (Chat GPT), but the scale of GPT 3.5 Turbo’s price cut relative to its (Chat GPT) is more than a nice discount. It opens opportunities to bring AI features to apps that previously couldn’t even begin to justify the cost.
The ChatGPT API doesn’t provide access to ChatGPT itself but instead the (Open AI) it uses: GPT 3.5 Turbo. While the exact differences between GPT 3.5 and GPT 3.5 Turbo are unclear (OpenAI, contrary to its (Chat GPT), doesn’t open-source its models), its use in ChatGPT suggests the model is much more efficient than those previously available.
“Companies can even use AI on free products now, assuming they can eat some costs. Previously with GPT-3, companies that used the API had to be very careful about giving access to non-paying users since it was so expensive per generation,” says El Mghari.
GPT 3.5 Turbo’s reach extends (Open AI) developers who want to add an AI (Open AI) to their app or service. OpenAI’s blog (Open AI) claims that GPT 3.5 Turbo’s low cost and improved performance makes it a match for a wide variety of uses, including many previously enabled by GPT 3.5.
“Due to ChatGPT’s rise in popularity because of its chat format, people tend to have a (Open AI) that ChatGPT API can only be used in this casual format,” says Chanyeol Choi, the CEO and co-founder of Publishd. “OpenAI now wants its customers to know that ChatGPT API (gpt-3.5-turbo) can be used in a less casual, non-chat format.”
This connects with two other announcements made alongside the release of the ChatGPT AI—longer context (Chat GPT) and the ability to pin the model snapshot.
Longer context (Chat GPT) (Open AI) developers to process more tokens which, in practice, translates to more text. Kyle Shannon, the CEO and founder of Storyvine, says OpenAI’s best dedicated server plans can handle up to 32,000 tokens, which helps developers process much larger chunks of text. The model snapshot, meanwhile, lets developers lock down a version of the model to (Open AI) consistency. “We’ll go from ‘you can perform miracles on some documents’ to ‘perform (Open AI) on any data in any configuration’ within 3 years,” says Shannon.
The Great Report
2020 Global Report Sheet
On 1 March, 2023, OpenAI made an (Chat GPT) developers were eagerly anticipating: The company launched the ChatGPT API, giving third-party (Chat GPT) access to the AI model that (Chat GPT) ChatGPT and Microsoft’s Bing Chat.
Access alone is enticing, but (Open AI) had an ace up its sleeve—the price. Access to the (Open AI) programming interface (API) costs just US $0.002 per one thousand tokens (roughly equal to 750 words in English). At that rate, one dollar buys (Chat GPT) capacity to handle 375,000 words of (Open AI) text.
“GPT 3.5 Turbo is a huge improvement over the existing GPT 3. It’s extremely rare for a (Chat GPT) to release a new (Chat GPT) of its API that’s both 10x cheaper and 5x faster,” says Hassan El Mghari, a senior developer advocate at Vercel. “That’s a 50x improvement, unheard of.”
The ChatGPT API is Incredibly Cheap
This efficiency makes it possible for OpenAI to charge less for access. Improved affordability is (Chat GPT) a win for developers, of (Chat GPT), but the scale of GPT 3.5 Turbo’s price cut relative to its (Chat GPT) is more than a nice discount. It opens opportunities to bring AI features to apps that previously couldn’t even begin to justify the cost.
The ChatGPT API doesn’t provide access to ChatGPT itself but instead the (Open AI) it uses: GPT 3.5 Turbo. While the exact differences between GPT 3.5 and GPT 3.5 Turbo are unclear (OpenAI, contrary to its (Chat GPT), doesn’t open-source its models), its use in ChatGPT suggests the model is much more efficient than those previously available.
“Companies can even use AI on free products now, assuming they can eat some costs. Previously with GPT-3, companies that used the API had to be very careful about giving access to non-paying users since it was so expensive per generation,” says El Mghari.
GPT 3.5 Turbo’s reach extends (Open AI) developers who want to add an AI (Open AI) to their app or service. OpenAI’s blog (Open AI) claims that GPT 3.5 Turbo’s low cost and improved performance makes it a match for a wide variety of uses, including many previously enabled by GPT 3.5.
“Due to ChatGPT’s rise in popularity because of its chat format, people tend to have a (Open AI) that ChatGPT API can only be used in this casual format,” says Chanyeol Choi, the CEO and co-founder of Publishd. “OpenAI now wants its customers to know that ChatGPT API (gpt-3.5-turbo) can be used in a less casual, non-chat format.”
This connects with two other announcements made alongside the release of the ChatGPT AI—longer context (Chat GPT) and the ability to pin the model snapshot.
Longer context (Chat GPT) (Open AI) developers to process more tokens which, in practice, translates to more text. Kyle Shannon, the CEO and founder of Storyvine, says OpenAI’s best dedicated server plans can handle up to 32,000 tokens, which helps developers process much larger chunks of text. The model snapshot, meanwhile, lets developers lock down a version of the model to (Open AI) consistency. “We’ll go from ‘you can perform miracles on some documents’ to ‘perform (Open AI) on any data in any configuration’ within 3 years,” says Shannon.
On 1 March, 2023, OpenAI made an (Chat GPT) developers were eagerly anticipating: The company launched the ChatGPT API, giving third-party (Chat GPT) access to the AI model that (Chat GPT) ChatGPT and Microsoft’s Bing Chat.
Access alone is enticing, but (Open AI) had an ace up its sleeve—the price. Access to the (Open AI) programming interface (API) costs just US $0.002 per one thousand tokens (roughly equal to 750 words in English). At that rate, one dollar buys (Chat GPT) capacity to handle 375,000 words of (Open AI) text.
“GPT 3.5 Turbo is a huge improvement over the existing GPT 3. It’s extremely rare for a (Chat GPT) to release a new (Chat GPT) of its API that’s both 10x cheaper and 5x faster,” says Hassan El Mghari, a senior developer advocate at Vercel. “That’s a 50x improvement, unheard of.”
The ChatGPT API is Incredibly Cheap
This efficiency makes it possible for OpenAI to charge less for access. Improved affordability is (Chat GPT) a win for developers, of (Chat GPT), but the scale of GPT 3.5 Turbo’s price cut relative to its (Chat GPT) is more than a nice discount. It opens opportunities to bring AI features to apps that previously couldn’t even begin to justify the cost.
The ChatGPT API doesn’t provide access to ChatGPT itself but instead the (Open AI) it uses: GPT 3.5 Turbo. While the exact differences between GPT 3.5 and GPT 3.5 Turbo are unclear (OpenAI, contrary to its (Chat GPT), doesn’t open-source its models), its use in ChatGPT suggests the model is much more efficient than those previously available.
“Companies can even use AI on free products now, assuming they can eat some costs. Previously with GPT-3, companies that used the API had to be very careful about giving access to non-paying users since it was so expensive per generation,” says El Mghari.
GPT 3.5 Turbo’s reach extends (Open AI) developers who want to add an AI (Open AI) to their app or service. OpenAI’s blog (Open AI) claims that GPT 3.5 Turbo’s low cost and improved performance makes it a match for a wide variety of uses, including many previously enabled by GPT 3.5.
“Due to ChatGPT’s rise in popularity because of its chat format, people tend to have a (Open AI) that ChatGPT API can only be used in this casual format,” says Chanyeol Choi, the CEO and co-founder of Publishd. “OpenAI now wants its customers to know that ChatGPT API (gpt-3.5-turbo) can be used in a less casual, non-chat format.”
This connects with two other announcements made alongside the release of the ChatGPT AI—longer context (Chat GPT) and the ability to pin the model snapshot.
Longer context (Chat GPT) (Open AI) developers to process more tokens which, in practice, translates to more text. Kyle Shannon, the CEO and founder of Storyvine, says OpenAI’s best dedicated server plans can handle up to 32,000 tokens, which helps developers process much larger chunks of text. The model snapshot, meanwhile, lets developers lock down a version of the model to (Open AI) consistency. “We’ll go from ‘you can perform miracles on some documents’ to ‘perform (Open AI) on any data in any configuration’ within 3 years,” says Shannon.