Fast radio bursts (FRBs) - enigmatic, millisecond-long flashes of radio emission from the distant universe - were first discovered in 2007. Their origins are difficult to pinpoint, but Webb found the host galaxy to the most distant FRB seen to date.

Brewing up new stars 🪄 Webb’s unique view of the stellar nursery known as NGC 7129 reveals numerous stars formerly hidden in this cosmic cauldron, helping astronomers study the star lifecycle in more depth.

Scientists used Webb and @NASAHubble to study some of the most far-flung bodies in our solar system, Trans-Neptunian Objects, unexpectedly finding that the number and colors followed the same relationships as their larger family members. More:

A month ago, I gave you: $NBIS — $142.19 → $265.10（+86.42%） $ARM — $201.80 → $396.34（+96.37%） $MU — $514.63 → $1,020.76（+98.36%） $AMD — $344.28 → $507.29（+47.33%） $MRVL — $160.15 → $278.67（+73.98%） $WDC — $404.88 → $681.08（+68.23%） Next alert dropping soon! If you are not following us with notifications turned on, you might miss our next alerts.

a16z's Angela Strange sits down with @Valon's Andrew Wang and Linda Du to unpack what it takes to rebuild the infrastructure underneath a $13 trillion mortgage market that still relies heavily on systems designed before the internet. Linda and Andrew explain why Valon chose the hardest path: becoming a regulated mortgage servicer, translating decades of federal and state regulation into software, and proving the platform on its own loans before selling it to the industry. That foundation made Valon roughly 3x as efficient as traditional servicing and created the system of record it is now using to bring AI into complex mortgage workflows. They also discuss what AI makes possible on top of that infrastructure, from agents handling long-tail servicing tasks to voice interfaces and more personalized customer experiences. And they explain why deploying the technology into large regulated enterprises is ultimately as much a change-management challenge as a technical one. 01:02 From Soros to mortgage math 03:00 $13 trillion still on 1960s systems 09:38 Why build the whole stack from scratch 11:47 The 3-5 year licensing gauntlet 15:50 Turning 50 states of regulation into code 18:00 Winning the first customers 22:34 What AI unlocks now 29:47 Everything is servicing 32:52 $200M in deals within six months YouTube: @wangandrewd @xlindadu @astrange

The same stock market cycles have repeated for decades and no one tracks them better than Jeff Hirsch (@AlmanacTrader). We sat down to discuss how to position for midterm seasonality, why the next 6 months are so bullish, his favorite sectors heading into 2027, and his views on the AI boom. Jeff has been at the top of his game for a long time and he continues to bring high level historical perspective to markets. TIMESTAMPS: 0:00 - Where are we in the cycle? 0:30 - AI super boom 3:02 - Midterm-year sweet spot 6:42 - Bond yields at 5% 9:19 - Split Congress and stocks 10:40 - AI earnings beat everything? 11:40 - Does seasonality still matter? 14:35 - Tech concentration 16:25 - Turning bearish 19:07 - Lessons from super booms 21:00 - Favorite sectors 22:30 - Small caps 25:25 - MACD signal 27:57 - The bear case 29:03 - What we could be wrong about 29:47 - Follow Jeff

Grayscale is prioritizing BNB Grayscale Investments (@Grayscale) completes its Q2 2026 portfolio rebalancing across three thematic funds, effective as of the August 3 close. The firm’s Smart Contract Fund (GSC) initiates a major structural shift by adding $BNB, which now commands the fund's largest weighting at 30.6%, officially surpassing both $ETH (29.47%) and $SOL (29.15%). The DeFi Fund (DEFG) proportionally redistributed $UNI proceeds into newer yield-focused assets, setting $ONDO at 25.44% and $ENA at 12.19% to capture the growth of on-chain treasuries.