Your phone could be paying you
Install these apps and start earning rewards for teaching AI understand humans, collecting data, and mapping the worlYour phone could be paying you
Install these apps and start earning rewards for teaching AI understand humans, collecting data, and mapping the worlYour phone could be paying you
Install these apps and start earning rewards for teaching AI understand humans, collecting data, and mapping the world
If you're a text-based learner like me and someone who genuinely enjoys reading as the primary way to absorb information, I've stumbled onto something that might be incredibly useful to you. What I've been doing is dumping all my bookmarks on a topic into Claude and asking it to first identify the content clusters (essentially, what themes and ideas these articles actually revolve around), and then turn everything into an interactive e-book tailored to how I learn.
The magic isn't just in the summarization but in making the material interactive in ways that articles typically aren't. Think reflection questions, scenarios to consider, connections between ideas that weren't obvious before. It transforms passive reading into something that actually sticks. Obviously, this heavily depends on the complexity of the topic you're dealing with (you definitely need some level of expertise to spot slop) but with the right prompting and iteration, you can drastically reduce it.
For anyone who's autodidactic by nature, this is genuinely a bit of a paradise. You get to take that chaotic pile of "I'll read this later" bookmarks and turn it into structured, personalized learning material that meets you where you are. The depth depends on the topic and what you're after, but I've found it especially powerful for making dense or scattered information feel coherent and engaging. If this sounds like your kind of thing, here's the prompt I currently use, treat it as a starting point. Tweak it for your purposes, go back and forth with the model, and iterate until it actually fits how YOU learn:
I have [X] articles/sources saved on [general topic]. I want to turn them into a cohesive, interactive e-book that fits my learning style and actually helps me retain what I read.
About me (the reader):
[Your background, what you already know and where the gaps are]
[Why this topic matters to you right now]
[What you're ultimately trying to learn or achieve]
What I want from the e-book:
Written for someone at my level: no talking down, no assuming too much
Explains concepts from first principles when needed
[Length preference: tight, focused guide vs. comprehensive deep-dive]
[Tone: practical and actionable vs. reflective and exploratory]
Designed to be read cover-to-cover, not just referenced
What makes it "interactive":
Include reflection questions, thought exercises, or mini-scenarios throughout
Prompt me to connect ideas to my own experience or goals
Surface tensions or open questions worth sitting with
What "good" looks like:
Synthesizes the best insights across all sources, don't just summarize each one separately
Explains the "why" and "how," not just the "what"
Uses concrete examples and analogies to make abstract ideas tangible
Builds logically, earlier sections lay groundwork for later ones
Process:
First, read through all the sources I provide
Ask me clarifying questions about scope, emphasis, and structure before writing
Propose an outline for my approval
Then write the e-book
One final word of caution: don't outsource your cognitive skills to the machine to the point where you lose the ability to spot slop yourself. The goal here is to use AI as an enhancer for how you approach information, not as a substitute for doing the thinking. It should sharpen your learning process, not replace it. And I'll be honest, this is a thin line to walk. It's easy to get comfortable and let the model do the heavy lifting. But the moment you stop engaging critically with what it produces, you've lost the very thing that makes this approach valuable. Stay in the driver's seat.
Markets are focused on incoming Core PCE inflation data today, which is the Fed’s preferred gauge.
The releases refer to both October and November due to delays caused by last autumn’s government shutdown.
A 0.3%+ Core PCE print would be seen as hawkish, pushing back rate-cut expectations, while 0.1–0.2% would support a more dovish outlook and keep cuts on the table.
The Fed is currently expected to pause at the next meeting, with markets pricing in only a 5% probability of a rate cut.
Registration for @wardenprotocol is officially live today .
If you’re serious about qualifying for rewards, don’t put this off. Waiting until later is how people miss airdrops.
Here’s what to do :
• Log into the official Warden app
• Link all your wallets
• Connect your social accounts
• Double check everything is synced correctly
All of this happens inside the Warden app nowhere else.
Set it up now, then relax knowing you’re ready for whatever comes next .
Today we went full speed 🏎️💨
eToro is officially partnering with the BWT Alpine Formula One Team for the 2026 season.
Formula One is built on teamwork, precision, data, and constant optimisation.
That mindset mirrors exactly how we’re building the next phase of eToro.
You’ll see it in:
➡️ Faster execution and speed to market
➡️ Smarter systems powered by AI
➡️ A relentless focus on performance and innovation
This partnership marks our next growth chapter — fast, intelligent, and global.
Excited for what’s ahead, on track and in the markets 🏁
Looking forward to meet our clients in the coming races!
@AlpineFormula
“A” stands is the first letter in the name and last name of all my kids, so happy to get the dress the with the Merch :)
The gold market got wiped out of $2.5 trillion as Bitcoin continues its downward spiral.
What is the total market cap of crypto again?
Aside from Satoshi, what if BlackRock or MicroStrategy chooses to offload part or all of its Bitcoin holdings? Such a move could trigger seismic shifts in the crypto market landscape.
Live At Woodstock by Jimi Hendrix is now available as a KiTalbum. Featuring 16 live recordings from his 1969 set, this collectible pairs physical keepsakes with a digital experience including film, photos, lyrics, credits, and more. #partner
Shop here: https://t.co/SHZAfvzw6B
Ya hay liquidez para vender el Airdrop de Monad ‼️
El bridge oficial hacia la red ya está activo, tanto de entrada cómo de retirada, y la mainnet funcionando correctamente
Así que aprovechando que $MON está cotizando a $0.035, vendo toda mi asignación ✅
Lo he vendido a través del DEX de NOXA:
🔗 https://t.co/kmDYACDrUm
100% legit 🫡
¿Qué piensas hacer tú?
No need to rush imo
After a move this big, it usually takes time anyway.
> In uptrends, people fomo in after large moves and get chopped, even if the market eventually goes higher.
> In downtrends, even if the bottom is in, people still get chopped by time-based capitulation.
Rarely do we see instant sharp reversals after a move like this.
Let the market form more price action → react, have a plan (with invalidation), and take it slow.
Met a guy today.
Age: 20
Portfolio: $1M
Started investing 1 year ago
Goal: retire at 30
I asked him how he built $1M so fast. He said he worked hard & convinced his dad to give him $5M and went all-in on $BTC at $125K & $ETH at $4,800 with 5x leverage.
Now he buys gold & silver
Snapshot para el Airdrop de Rainbow hecho ✅
Atento, han confirmado que NO habrá checker elegibilidad y que los tokens $RNBW se reclamarán manualmente directamente desde la App móvil
Así que si tienes tu wallet en la extensión del navegador, exporta la seed phrase a la App y déjalo todo preparado 🫡
¿Se viene el próximo gran short?
In DeFi, scaling rarely fails from lack of demand.
It fails when risk limits cap usable liquidity.
For large lending venues, that means growth is ultimately determined by how much balance sheet they are willing, and able, to expose to an asset.
On Aave v3 Core, that balance sheet is substantial.
Following recent ETH inflows, Core now has ~$1.6B of ETH available to borrow.
Until now, rsETH couldn’t meaningfully access that liquidity.
rsETH is @KelpDAO’s flagship product.
With rsETH E-Mode now live on Aave v3 Core, 93% LTV is unlocked.
This isn’t a cosmetic update; it removes a structural ceiling on how rsETH can grow.
With higher capital efficiency enabled, rsETH can now absorb ETH liquidity at scale.
This reactivates rsETH ⇄ ETH looping as one of Aave’s most reliable demand engines.
Up to ~14× leverage and ~9% ETH rewards are now achievable under current conditions.
Aave granting E-Mode reflects confidence in rsETH’s correlation, liquidity, and stress behaviour.
As rsETH scales toward ~$1B on Core, activity compounds across Kelp’s stack, accruing to $KERNEL.
Take a look: https://t.co/BFoCY5Lt4D