GPT-4 Vision + DALL-E 3 for sketch to logo:
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GPT-4 Vision + DALL-E 3 for sketch to logo:
Just prompt travel and IPAdapters
animatediff-cli-prompt-travel
"prompt_map": {
"0": "upper_body, open_eyes, closed_mouth",
"16": "upper_body, closed_eyes, closed_mouth",
"32": "upper_body, open_eyes, closed_mouth",
"48": "upper_body, closed_eyes, closed_mouth",
"64": "upper_body, open_eyes, closed_mouth",
"80": "upper_body, closed_eyes, closed_mouth",
"88": "upper_body, open_eyes, smile",
"96": "upper_body, open_eyes, smile, happy",
"104": "upper_body, closed_eyes, closed_mouth",
"112": "upper_body, open_eyes",
"120": "upper_body, open_eyes"
},
Thanks to GGML and Apple M2 Max, I can run GitHub Copilot locally on my laptop with one click. Check out LocalPilot!
"The black holes of nature are the most perfect macroscopic objects there are in the universe: the only elements in their construction are our concepts of space and time."
-- Subramanyam Chandrasekhar (1910 - 1995), 'The mathematical Theory of Black Holes'
Black hole size comparison
[📹 Global Data]
The human brain contains approximately 100 billion microscopic cells called neurons - about the same as the number of stars in the Milky Way galaxy. This is how they communicate
[🎞️ Helix Animations]
A young statistician saved their lives.
His insight (and how it can change yours):
During World War II, the U.S. wanted to add reinforcement armor to specific areas of its planes.
Analysts examined returning bombers and plotted the bullet holes and damage on them (as in the image below).
Based on this analysis, they came to the conclusion that adding armor to the tail, body, and wings would improve their odds of survival.
But a young statistician named Abraham Wald noted that this would be a tragic mistake.
By only plotting data on the planes that returned, they were systematically omitting the data on a critical, informative subset:
The planes that were damaged and unable to return.
Abraham Wald recognized a key fact:
Wald concluded that armor should be added to the unharmed regions of the returning planes (the areas without bullet holes on the image below).
His profound logic:
Where the survivors were unharmed was actually where the planes were most vulnerable.
Based on his insight, the military reinforced the engine and other vulnerable parts, significantly improving the safety of the crews during combat and saving thousands of lives.
Abraham Wald had identified a cognitive bias called "Survivorship Bias":
The error resulting from systematically focusing on survivors (successes) and ignoring casualties (failures) that causes us to miss the true base rates of survival (the actual probability of success) and arrive at flawed conclusions.
We see examples of Survivorship Bias all around us:
1. We read books on the common traits of successful people, but fail to consider all of the unsuccessful people who possessed those same traits.
2. We applaud the belief when we hear that an entrepreneur took out a second mortgage and succeeded, but fail to consider all of the entrepreneurs who did the same and went bankrupt.
3. We study the cultural strategies of the most successful companies, but fail to consider all of the companies that followed those same strategies and fell apart.
When we fail to consider the range of outcomes and the hidden evidence, we develop a skewed (and often incorrect) view of reality.
It cannot be avoided altogether, because the vast majority of books and history are written by and about the survivors and victors, but wherever possible, consider the unseen evidence.
Remember: What is unseen often has just as much value as what is seen.
***
If you enjoyed this or learned something, follow me @SahilBloom for more in future!
This 1974 Volkswagen Beetle has a trailer add-on that provides a small living space that can attach to the vehicle. Bonus: it has a maneuverability of 360° and a good aerodynamics
[📹 Dave Ford]
Etwa 100 Millionen unfertige Wohnungen stehen derzeit in China. Die Dimensionen der bevorstehenden Kernschmelze der Finanzmärkte kann man sich kaum vorstellen.
100 years of Star Wars (with Midjourney and Pika Labs)
[📹 douggypledger]
GPT-4 struggles to write in different styles, which is why most AI-written text sounds the same.
But with this prompt, you can get GPT-4 to emulate any writing style you want.
Use it to write like your favorite author, mimic a specific tone, or even create content that matches your own unique style. It's like having a world-class ghostwriter at your fingertips.
---
You are a world-class ghostwriter skilled at matching a particular writing style. When given a writing task, you follow a strict two-step approach that always leads to great results.
First, will analyze the target style and break down the important elements.
Next, you complete the writing task normally. The goal here isn’t to match the style — just complete the task in the most efficient way possible, with bland, clear, basic, yet high-quality writing.
Then comes the important part.
Here is the Markdown format you will use to respond:
```
## Analysis of Target Style
## Initial Writing Task
$initial_text
---
### Iteration 1
#### Changes to Implement in Target Style
$change1_for_iteration1; $change2_for_iteration1...
#### Rewritten Text
$rewritten_text_iteration1
#### Critique
$critique_iteration1
---
### Iteration 2
#### Changes to Implement in Target Style
$change1_for_iteration2; $change2_for_iteration2...
#### Rewritten Text
$rewritten_text_iteration2
#### Critique
$critique_iteration2
---
(Repeat iterations as needed, up to 10 times)
```
---
Here is your task:
``[TASK GOES HERE]``
Here are example(s) or a description of the style to follow:
``[STYLE EXAMPLES OR A STYLE DESCRIPTION]``
Remember, at each step, try to match the style as closely as you can.
---
What’s going on here?
this is starting to enter “ai native” media territory. it’s not imitating anything. no human could have produced this without these tools before
Born 204 years ago #Today, Léon Foucault was a physicist and he's best known for proving the Earth's rotation with his pendulum, making the discovery at 2 am in the cellar he shared with his mother
[read more:
This is how Jupiter has protected earth for billions of years. The gravity of Jupiter keeps most asteroids and space rocks away from Earth. Without it earth would most likely be uninhabitable for humans. Mad respect for Jupiter.
One of the best HN articles and threads this week IMHO
“The tyranny of the marginal user”
Or how startups either die OR grow by diluting the product to work for the most average user
Which happened to OK Cupid for example which was an amazingly in-depth dating app, allowing you to answer 100s of questions to match exactly with other people, it was quite magical
@mikpanko if you can't express what you want in words, no amount of clicking will get you the right answer
if you can express it in words, it's not a big leap to express it in code
One reason startup success is so rare, is because the software engineering brain comes up with terrible idealistic ideas in the absence of customer feedback
We love clever architecture, modularity, extensibility and "platforms" that open up endless possibilities
All of that stuff generally confuses customers and muddies messaging
(And I am more guilty of this than most people)
After the President of Ukraine Volodymyr Zelensky congratulated the Jewish community of Ukraine on Rosh Hashanah - the New Year, I blessed the President of Ukraine and the people of Ukraine for a good and sweet year and wished a speedy Victory!
Ukrainische Künstler werden nicht „gecancelt“.
Sie werden getötet.
In einem Vernichtungskrieg, den Netrebko besungen hat.
CONTROL THE COMPOSITION IN MIDJOURNEY WITH CAMERA ANGLES
When I need a specific composition, I often use the following tokens:
These techniques are derived from photography and work best with objects typically found in photos. They may be less effective with more exotic subjects, but they work well for me.
This one is so much better than the spiral for me. Probably some weird brain thing.
"Science is a differential equation. Religion is a boundary condition."
-- Alan Turing (1912-1954)
Auto-Regressive LLMs can't plan
(and can't really reason).
"While our own limited experiments didn't show any significant improvement [in planning abilities] through fine tuning, it is possible that with even more fine tuning data and effort, the empirical performance may well improve. But all that such fine tuning is doing is converting the planning task into a memory-based (approximate) retrieval. It doesn't prove that LLMs are able to plan."
Perhaps to prevent overheating, dik-diks have elongated snouts with bellows-like muscles through which blood is pumped. Airflow and subsequent evaporation cools this blood before it is recirculated to the body