नेमार का शानदार किक, लियोन मेसी सिर्फ देखता रह गया असंभव सा गोल खा लिए।
यह गोल नहीं देखा तो #FIFA फुटबॉल का जलवा नहीं देखा ।
नेमार जब लय में हो तब क्या रोनाल्डो,क्या मेसी कोई नही टिकता सामने इस ब्राजील फुटबॉल के तूफान के सामने। 👁️⚽🥅
After spending 2 years of “vibe coding” after 40 years of Fortran, C, C++, Java … I can tell you that AI assistance in your coding is amazing. But you have to remember the code it produces comes form a pattern in an LLM. The more you change the code the patterns get intertwined. The agent try’s to make sense of it but entropy kicks in. At some point the agent can’t recognize and patterns anymore.
A very good way to avoid this to have your source known and represented in a symbolic space. That symbolic space provides the constraints to the embedded space and manages entropy.
@chamath’s Software Factor does just that. It keeps the source in a symbolic space. The golden source is in fact requirements (language independent, hardware independent, database independent …). Then the requirements are coupled to design blueprints and work orders that are binded in both directions.
Using MPC, you can comminicate with an IDE and it will grab the work orders.
The maintenance is in the requirements. You can literally build a new system at any point on any system — spend more time with your requirements.
This is the way.
Remember, AI is not making everything easy for you, It’s doing the easy stuff so you can work on the hard stuff.
You should be working harder and producing 25x.
@SusanWojcicki@planet Your kind heart will not be forgotten. May you rest in peace, and your family be comforted through this difficult time. You will be missed.
@PeterLBrandt Very beautiful sentiments to live by. Thank you for sharing about your special bond with your dear friend, and reminding us that we trade to live a full life with meaning.
This is the “software” for the very first digital arcade game Pong. There is actually no code, no processor and no memory.
In 1971 Alan Alcorn went about building the game for Atari with discrete TTL IC chips.
It is a marvel of creativity and engineering.
By 2025 Autonomous AI Agents will be in every aspect of life.
They've been out for a week - and already the possibilities are mind-blowing.
But what are they? How did we just figure them out and whats next for us?
I'll try my best to explain. Buckle up, its gonna be a douzey
#BREAKING: A coalition of Central Banks just announced coordinated action to enhance liquidity through U.S. dollar swap lines. This includes:
🇺🇸 US Federal Reserve
🇪🇺 European Central Bank
🇨🇦 Bank of Canada
🏴 Bank of England
🇯🇵 Bank of Japan
🇨🇭 Swiss National Bank
What does this mean?
1. This is a precautionary step in case the Credit Suisse acquisition does not go through, which will lead to volatility
2. This signals central bank concerns over the current banking crisis
3. The swap lines offer liquidity to non-US Central Banks in case we face other events similar to Credit Suisse
4. This could be a signal that quantitive tightening cannot go on much longer and rate hikes could pause soon
5. This shows the strength of the US dollar as a reserve currency
Jesse Livermore’s 10 Key Principles that made him a Legend:
#1 Livermore’s wealth was built primarily from big position trades that lasted for weeks or longer. He made his big money holding a trend not scalping or day trading. Which was very difficult in those days with commission costs and speed of execution.
“Money is made by sitting, not trading.”
#2 Livermore pioneered the idea of having big wins and small losses. He held large short positions through both the 1907 and 1929 stock market crashes and let the winners run.
“It was never my thinking that made the big money for me, it was always my sitting.”
#3 The quality of his trade entries is something he did based on price movement. He traded price action not fundamental valuations.
“Buy right, sit tight.”
#4 He liked to see follow through confirmation before he made an entry.
“Do not anticipate and move without market confirmation—being a little late in your trade is your insurance that you are right or wrong.”
#5 He focused on a small watch list to be an expert on their specific price movement.
“{Limit} interest in too many stocks at one time. It is much easier to watch a few than many.”
#6 If he had a stock making higher highs he would hold it until their was a good reason to sell it. He ended up holding stocks that were under accumulation.
“As long as a stock is acting right, and the market is right, do not be in a hurry to take a profit. You know you are right, because if you were not, you would have no profit at all. Let it ride and ride along with it. It may grow into a very large profit, and as long as the “action of the market does not give you any cause to worry,” have the courage of your convictions and stay with it.”
#7 He never added to a losing position.
“It is foolhardy to make a second trade, if your first trade shows you a loss.
“Never average losses,” “Let that thought be written indelibly upon your mind.”
#8 His rules said to cut losses quickly when wrong and keep losses small. This freed up capital to deploy for better opportunities and avoided big losses.
“Profits always take care of themselves but losses never do. ” The speculator has to insure himself against considerable losses by taking the first small loss. In so doing, he keeps his account in order so that at some future time, when he has a constructive idea, he will be in a position to go into another deal, taking on the same amount of stock as he had when he was wrong.”
#9 He knew his best trades were winners right from the start.
“Experience has proved to me that the real money made in speculating has been: “IN COMMITMENTS IN A STOCK OR COMMODITY SHOWING A PROFIT RIGHT FROM THE START. ”
#10 Jesse Livermore did not trade unless the market presented him with a good opportunity from an entry and risk/reward standpoint.
“There is a time for all things, but I didn’t know it. And that is precisely what beats so many men in Wall Street who are very far from being in the main sucker class. There is the plain fool, who does the wrong thing at all times everywhere, but there is the Wall Street fool, who thinks he must trade all the time. Not many can always have adequate reasons for buying and selling stocks daily – or sufficient knowledge to make his play an intelligent play.”