Today we're announcing @_panthalassa’s $140M Series B, led by Peter Thiel, with participation from John Doerr and many other incredible investors. The mission: unlock the ocean as another planetary-scale energy resource for humanity. First stop: compute.
They are putting DATA CENTERS in the ocean now.
Panthalassa, a startup from Portland, just raised $140 MILLION.
what they do: build floating platforms that sit out at sea and run AI. no power grid needed. the ocean waves make all the electricity. the seawater keeps the chips cool.
How it works: big floating balls bob up and down with the waves. that motion makes power. the power runs the AI chips inside.
backed by PETER THIEL. company now worth almost $1 BILLION.
land is running out of room and power for AI. so the next move is simple. go to the sea.
This model is insane at design.
I asked GLM 5.2 (left) and Opus 4.8 (right) to build me a landing page and you can't even tell the difference.
GLM cost $0.06 while opus cost $0.49. More than 6x cheaper while being faster + more token efficient.
Another win for open source AI.
DeepSeek just raised $7.4B at a $50B+ valuation. The lab that dropped R1 and shook the entire industry's cost assumptions is now sitting on serious capital.
The "open weights from China" story just became a very well-funded one
Oh Fable, wherefore art thou? We hardly prompted ye. White knuckled thru my Opus 4.8 + UltraCode weekend. Opus' energy is kinda Little Engine That Could: “I think I can… I think I can… please approve the 20-agent moat stress test… and notify legal if the moat becomes dual-use.”
I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true:
— As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable.
— Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.)
— A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused.
— In their blog post, Anthropic defended its decision by saying the jailbreak isn’t serious. That is not what the trusted partner and the USG believe; nor is that kind of minimizing language consistent with Anthropic’s brand as the AI safety company. It’s difficult to fathom how they could claim a jailbreak allowing operability of a cyber weapon could be defined as not “serious.”
— In the past, Anthropic has always said that safety must be top priority and taken super seriously. In this case, Anthropic prioritized the continued offering of the consumer model over safety.
— In reaction, the Admin issued the export control. The Admin did this reluctantly. It’s been very surprised that Anthropic hasn’t wanted to cooperate with a reasonable safety request (ie fixing the jailbreak issue). Anthropic’s reaction is very much at odds with their branding and ethos as a safe AI research community.
— The Admin’s hope now is that Anthropic remediates the safety issue, the export control is lifted, and Fable goes back into general release. The Admin wants all of this to happen as soon as possible. It is frankly bewildered that Anthropic hasn’t wanted to comply with safety requests that it previously said were its highest priority.
— Those trying to misdirect and tie this action to the prior DoW/Anthropic issues are wrong. The Admin values Anthropic’s technical capabilities and feels that this issue, while serious, should be easily resolved. The ball is in Anthropic’s court.
🚨 A junior at Jane Street reportedly landed a $220K–$600K role because he used AI to analyze trillions of data points faster than most teams ever could.
In this 1-hour lecture, he breaks down the exact system behind it:
• how he researches massive datasets
• how AI finds patterns humans miss
• how his machine turns raw data into decisions
• how you can apply the same thinking yourself
Skip Netflix tonight.
Watch this instead.
One hour could completely change how you think about research, AI, and opportunity.
We built our launch video in Claude Code using HyperFrames.
Now it's yours.
Open source, agent-native framework. HTML to MP4.
$ npx skills add heygen-com/hyperframes
RT + Comment "HyperFrames" to get the full source code of this launch video (must follow)
Vector databases just got disrupted 🤯
You can now build RAG without Vector DBs.
PageIndex is a new open-source library that uses document trees instead of embeddings.
It achieves 98.7% on FinanceBench by letting LLMs reason over structure rather than matching keywords.
→ No Embeddings
→ No Chunking
100% Open Source.
@ashebytes@every@danshipper thx. can I ask what database you used? is it like neo4j? I was looking at trustgraph for a context graph & your visual reminded me of that