This is one of the biggest Kindle redesigns since the original Paperwhite. ⬇️
The team redesigned the devices from the ground up, beginning with a reverse-stack display —a first for e-readers.
🔋Weeks worth of battery 🎨Edge-to-edge color display 🔲The most pocket-sized Kindle ever 🟣New color options like Ube
Last year, 85+ million people read on Kindle. They read more than 720 billion pages, an all-time high. This is what comes next.
Every time you stream a movie, join a video call, or ask an AI a question, data is moving through a network that was designed, built, and stress-tested to make that moment feel effortless.
Step inside the @awscloud product development lab where engineers are quietly building the networking technology that keeps the modern world connected, one wavelength of light at a time. 🧵⬇️
Introducing all-new Amazon Alexa Tablets, the first tablets with Alexa+ built into the core.
Three new tablets. Aluminum unibody design. Vivid high-res displays. And intelligence that actually helps. Alexa+ is always ready, answering questions, helping you manage your smart home, and offering real-time, on-screen help without ever leaving what you're doing.
It's the most personal tablet experience we've ever built.
Robots that learn. Machines that improve with every deployment. AI that works in the real, physical world.
Physical AI isn't one-size-fits-all. A humanoid robot builder, an autonomous vehicle maker, and a smart factory operator all need different things. So we built the Physical AI Toolchain on @awscloud using @NVIDIA’s physical AI stack.
The toolchain is a modular development stack that lets builders pick exactly what they need, from synthetic data and simulation to edge deployment and fleet management. ⬇️
This is what a tablet built around Alexa+ looks like.
Our new lineup features world-class hardware, personalized intelligence from Alexa+, a stunning anti-glare Nanomatte display, full Google Play Store access, and more.
Shipping today in three sizes. ⬇️
Meet Bee, a wearable that remembers so you don't have to—and you're always in control. No stored audio. Only you see your data. Connected to Alexa+ and https://t.co/2HYJZL1AKM, so the details are there when you need them.
Take a look at the newest devices in the Bee family. ⬇️
This guy used Grok Bot to build a Quant EMA system and it made $4,497 a day on Polymarket
The result is already +$692,556 PnL in 154 days with about $518 per average trade, repeating the same setup 34 times every hour across BTC "Up or Down" markets
Several AI agents work together as one algorithm:
1. EMA establishes the current short term direction
EMA gives more weight to the latest prices than a normal Moving Average
Price above EMA → Up bias
Price below EMA → Down bias
This keeps the system focused on the most recent direction instead of reacting to every individual tick
2. RSI measures the strength behind that direction
RSI = 100 - 100 / (1 + RS)
Where:
RS = average gains / average losses
Instead of using RSI alone, the system combines it with the EMA direction
Above EMA + RSI strengthening → stronger Up signal
Below EMA + RSI weakening → stronger Down signal
This trader’s Polymarket account:https://t.co/Oj6fxDu251
Most profitable trades:
$242 → $15,531 (+$15,289)
$330 → $5,792 (+$5,462)
$2,948 → $7,332 (+$4,383)
The system uses EMA for direction and RSI to measure whether enough momentum exists behind that move
This guy built a late-resolution bot on Polymarket and made $98,842
His algorithm almost always waits until the final seconds of 5 minute BTC Up/Down markets before building a directional position:
1. Monitors the market for most of the trading window and enters near resolution
98.2% of its purchases occur in the final minute
The median first entry occurs 56 seconds before the market ends
For the first four minutes, it tracks BTC’s price movements. It then starts buying its chosen outcome in small amounts
2. Buys the more likely outcome if it still considers it undervalued
89.8% of its fills are at 50c+
More than half of its purchases are at 80c+, and those trades account for 65.9% of its total volume
3. Uses the opposite outcome to adjust net exposure
It bought both sides in 29.55% of markets
If it holds 100 Up shares and buys 40 Down shares, part of the position becomes hedged, while 60 Up shares remain directional
If it then buys another 140 Down shares, its original Up position is fully hedged, and the directional residual shifts to Down
Buying the opposite outcome lets it reduce or fully reverse its directional exposure
Its Polymarket account: NIULAI4
Stats:
> Trades per active hour: 53.89
> Average trade size: $26.56
> Win rate: 81.42%
NIULAI4’s main edge comes from late-entry probability trading: it waits for a stronger BTC signal near the end of the market, buys the undervalued outcome, and uses the opposite side to rapidly adjust its exposure if conditions change
This guy built an HFT algorithm on Polymarket with an average trade size of $35.88
Result: +$470,883
His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory:
1. Finds undervalued outcomes using its own fair value estimates
It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data
If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position
2. Buys the opposite side when the market changes direction
If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure
This hedges part of its existing position
3. Turns the hedge into a complete set
If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves
It keeps the unpaired remainder as a directional residual on the side its model considers undervalued
Its Polymarket account: mo-money
You can build your own trading bot here:
https://t.co/JVofcJa07i
(A trial is available after signing up)
The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set
I’ve made over $250,000 in just 3 months using my Manipulation Model.
Now I turned it into a TradingView indicator that tells you exactly when to buy and sell—no guesswork.
I’ve been testing it for months, and it’s been printing. 📈
Like + Comment “Trade” - I’ll DM it to you.
(Must be following to DM)
El Súper Partido de hoy es Croacia vs España 🇭🇷🇪🇸
🔝Cada día seleccionamos un partido y mejoramos sus cuotas 1X2
🤯Y si quieres ir más allá, en Crea tu Apuesta puedes combinar a tu gusto
¿Con cuál te quedas?
Apuesta en bwin 📲 https://t.co/aSgctedEyp
Por última vez 🥺
Luego de 21 años, 4 títulos, 6 Mundiales, 207 partidos y 125 goles después, hoy Lionel Messi jugará su último partido con la Selección Argentina 🇦🇷
La última y nos vamos 🥹🇦🇷
Una despedida para la historia merece una Épica⚽️
¿Se despide Messi con cuatro o más goles?
Apuesta en bwin📲 https://t.co/ZS6Y8HfXCb