Forget lidar.
One single camera.
Runs in real time & is open source:
A streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences.
End-to-end.
Optimization tricks, cleanup steps?
Nope.
And it beats both streaming and even some offline methods.
Perception is becoming software-first.
Closer to machines that see and understand the world as it unfolds.
Thanks for sharing, @YinghaoXu1
📍Models: https://t.co/gnSDy919eX
Project page: https://t.co/zgpkgBvcik
Code: https://t.co/Js0MzHE387
Paper: https://t.co/FrzMojMMZC
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You've solved the income side. The unsolved side is the spend side.
Right now a $SATA dividend has to be sold, withdrawn, and ACH'd to a bank before anyone can use it. Every hop costs time and money.
The next frontier isn't higher yield. It's making the dividend spendable the moment it lands: a wallet or stablecoin rail with a linked card, where daily divvies become daily cash. That's what living off dividends really requires.
Unreal Engine 5.8 ships today with experimental MCP server support:
Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together: https://t.co/cDITLWWv2F
I was wrong
I've been saying for months that open source AI models are 6 months behind frontier
They caught up. GLM 5.2 is as good as Opus 4.8
This changes everything. If you run GLM 5.2 locally no government can take it away. You become sovereign
And even if you run through APIs, its a fraction of the cost
The battlefield is different now. If open source is as good as frontier, and people have cheaper alternatives, governments can't be as quick to regulate. It will destroy the frontier AI labs
All of this is such a massive win for the people
If you are not paying attention to local models yet, you are making a tremendous mistake
ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW AND FIRMS ARE NOT GOING TO BE HAPPY ABOUT IT.
DCF models. LBO models. Equity research reports. Merger analysis. KYC checks.
All of it. Free. On GitHub.
Here is what just became available to anyone with a laptop.
Direct connections to Bloomberg, FactSet, S&P Global, Morningstar, and PitchBook.
Real Excel models with live formulas and sensitivity tables built automatically.
CIMs, IC memos, earnings reports, and buyer lists drafted on demand.
PE due diligence, GL reconciliation, and NAV tie-outs running as production agents.
This is not a chatbot wrapper that summarizes financial news.
These are production agents that own entire financial workflows end to end.
The kind that investment banks and private equity firms pay $50,000 to $500,000 per year in software licenses to run.
Now it is a one-line Claude Code plugin install.
19,800 GitHub stars.
Apache 2.0 license.
100% open source.
Think about what this actually means.
A junior analyst at a bulge bracket bank spends 80% of their 100-hour week running models, drafting memos, and compiling data across Bloomberg and FactSet.
That entire workflow just became a Claude Code agent.
The banks charging clients $500 an hour for analysis that this system produces in minutes are not going to tell you this exists.
The boutique advisory firms charging $50,000 retainers for due diligence work that these agents handle autonomously are not going to promote this repo.
But it is already live.
19,800 people have already starred it.
The window where knowing this gives you an edge over every analyst, associate, and advisor still doing this manually is open right now.
Star it. Fork it. Deploy it this weekend.
Bookmark this before your next financial model.
Follow @cyrilXBT for every open source release that disrupts an overpriced industry the moment it drops.
Cursor just held their first ever conference.
And they dropped:
- 1.5T model trained from scratch
- Github direct replacement Origin
- iOS app
nobody saw this coming...
full breakdown (thread):
@zerohedge True.
That is why Bitcoin is based on energy: you can issue fake fiat currency, and every government in history has done so, but it is impossible to fake energy.
Elon just created 4,400 millionaires in a single day.
400 of them are now worth over $100 million.
These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries.
Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000.
Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous."
The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before.
Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.
People also thought $MSTR was dead in January of 2024 when the BTC ETF’s launched. “mNAV” fell below 1, “flywheel was broken”
Strategy proceeded to go on and acquire 655,256 Bitcoin since then.
$8B in capital > $52B in capital.
The strategy is refined, leverage is lower, the balance sheet is 6.5x larger, the dividends are being paid, capital machine is working just fine.
Excess Bitcoin risk is being pooled and shared in the capital markets, priced in real time, with TRANSPARENT balance sheets & frequent SEC filings.
STRC is not a stablecoin, it is a credit instrument. “Depegged” is not a thing, liquidation doesn’t exist, and margin is not calling.
The balance sheet is very healthy.
Bewilderment will continue, until morale improves.
$GOOG's proposed $80B capital raise includes a $15B convertible preferred and a $40B ATM. Financing tools popularized by $MSTR to acquire Bitcoin are now being used by a Mag 7 company to build AI. AI and Bitcoin are the digital rails of the future.