Pretty sure every Angine de Poitrine fan from every planet showed up to their free Jazz Fest show in Montreal last night. Never seen anything like it…absurd.
SOMEONE JUST KILLED THE REAL ESTATE INDUSTRY
A guy scanned an entire house with his phone. Uploaded it.
Now anyone on Earth can walk through it in a browser tab. No app. No VR. No agent. No appointment.
Click → you’re inside. Every room. Every angle. Every shadow. Photoreal.
The numbers are insane:
- Agent fee on a $500k home: $15,000
- Cost to make this scan: ~$200
- Time to “tour” 50 houses: one evening
- File size: smaller than a TikTok
The science is wild too:
It’s called 3D Gaussian Splatting instead of polygons (how games render), it uses millions of tiny glowing “splats” of color and depth.
AI reconstructs reality from your photos. The result loads on a phone and looks like you’re THERE.
The grift opportunity is even wilder:
Freelancers are already charging $300–$800 per scan for realtors, Airbnbs, venues, car dealers, museums.
One person + one phone + one weekend = a business.
Open source. Built on PlayCanvas.
Free GitHub: https://t.co/ew6Ql8Ad6u
The vaccine dosage was obviously too high and done too many times.
I had the original Wuhan virus before there was any vaccine and it was much like any other cold/flu. Bad, but not terrible.
But my second vaccine shot almost sent me to the hospital. Felt like I was dying.
Zuckerberg paid $14.3 billion for a 28-year-old who had never trained a frontier model. Nine months later, that bet just shipped.
The benchmark table tells you exactly what kind of lab Wang built. Muse Spark leads or ties Opus 4.6 and GPT 5.4 on multimodal perception, health queries, and visual reasoning. MedXpertQA, SimpleVQA, ScreenSpot Pro, CharXiv. These are all data-quality-sensitive benchmarks where training set curation determines the ceiling.
Where it gets destroyed: ARC AGI 2 (42.5 vs 76.5 Gemini), Terminal-Bench (59.0 vs 75.1 GPT 5.4), GDPval office tasks (1444 vs 1672 GPT 5.4). Coding and abstract reasoning. The exact categories where architecture innovation and RL scaling matter more than data.
This is a data labeling CEO's model. The fingerprints are all over the results. Wang spent seven years learning which benchmarks respond to better data and which ones require something else entirely. Muse Spark maxed out the first category and exposed the gap in the second.
The $14.3B question was always whether the guy who built the best data pipeline in AI could build the best model. The answer so far: he built the best model at the things data pipelines solve, and a mediocre one at everything else.
The move nobody's pricing: Meta said larger models are already in development, private API today, open-source future versions. Wang called this "step one." If the next model closes the coding and reasoning gap, Meta goes from also-ran to three-horse race. If it doesn't, they spent $14.3 billion to build a very good medical chatbot for 3 billion users.
Both outcomes are interesting. Only one justifies the stock moving 9%.
just realized i never made a list of best AI accounts to follow for skillmaxxing
so here you go:
> @jumperz for visual takes on trending innovations
> @hooeem for super comprehensive guides & courses
> @gregisenberg for AI entrepreneurship and podcasts
> @eng_khairallah1 for Claude & agent tutorials
> @kloss for unhinged takes & ai prompts
> @0xSero for local AI & open source
> @ryancarson for unique workflows & systems
> @ID_AA_Carmack for deep research & AGI
> @karpathy for recognizing the next AI frontiers early
> @aakashgupta for deep dives on AI tools & tech
> @DeRonin_ for onboarding tutorials & guides
> @k1rallik for unique takes & deep dive articles
> @EXM7777 for gaining perspective on all things AI
> @jordymaui for OpenClaw tutorials & guides
> @birdabo for the memes, ai news, and stories
> @om_patel5 for open source AI tools
> @RoundtableSpace for hourly curated content
> @0x_kaize for articles and educational curation
> @sharbel for video tutorials, tools, and privacy articles
> @rileybrown for mobile vibe coding & video content
What’s next:
Russia beats Ukraine
Ursula resigns
Starmer forced to resign
Biggest stock markets crash ever
Anti-Israel sentiment explodes
USD no longer reserve currency
The EU dissolves
NATO dissolves
End of US Empire
Multipolarity
Not necessarily in that order
🚨BREAKING: Former Ripple CTO REVEALS XRP Was BUILT With INPUT From Bitcoin Leader & PayPal BILLIONAIRE 😳🔥
A resurfaced 2014 clip shows former @Ripple CTO Stefan Thomas OPENLY talking about who was involved around @Ripple’s EARLY development. 👀
At the time, he was the CHIEF TECHNOLOGY OFFICER building what later became the XRP Ledger (not built yet back then). 🚨
And he CONFIRMS @Ripple was in discussions with:
👉 Gavin Andresen — @Bitcoin’s LEAD DEVELOPER after Satoshi
👉 Peter Thiel — @PayPal CO-FOUNDER & billionaire investor
👉 Early Silicon Valley VC circles like Andreessen Horowitz (@a16z) 🤯
“We were talking to Peter and Gavin…” 👀
Even more interesting — this was happening as @Ripple was:
👉 Just ~1 YEAR old
👉 Around 40 employees
👉 Still BUILDING its core network infrastructure
So the narrative that $XRP “came out of nowhere” is just WRONG. ❌
FROM DAY ONE $XRP WAS BUILT INSIDE THE INNER CIRCLE OF EARLY CRYPTO POWER. 🚀🔥