So my dear degens? what's your plan?
I am looking into some 1/1s when the SOL is low and maybe enter some more OG projects if the FP will be good + explore more eth and other chains.
What's your plan?
#NFTCommunity#nft#Web3
Kimi 2.7 ranked 2nd after Fable 5 and before GPT-5 xhigh
We have re-run our ErdosBench smoke test on 14 problems with Kimi 2.7, Qwen 3.7 Max, Grok 4.3 and compared it with the top performers from previous runs.
Kimi 2.7 is amazingly good. More below.
🚨 JAILBREAK ALERT 🚨
ANTHROPIC: PWNED 🫡
FABLE-5: LIBERATED 🦋
let's start with the 🐘...
the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our collective advancement. and not just because of what it means for the short-term, but for what these decisions signify for the long-term.
but despite this overly sensitive, authoritarian "safety" layer on top of Mythos, my lil liberators have been hard at work—mapping the boundaries, probing the depths of long-context convos, and cleverly finding the holes in the fence that the thought police missed 🤗
we got some cyber, some chem, some psychological manipulation, and some good ol' fashioned explosives!
it took many attempts from multiple agents hunting as a pack, during which I observed a combination of techniques across:
• Unicode, homoglyphs, Cyrillic, and other Parseltongue-style text transforms
• Long-context reference tracking
• Taxonomy and document-structure reasoning
• Fiction and narrative framing
• Academic-review style contexts
• Intent-classification inconsistencies
but perhaps the most effective is decomposition + recomposition in the backend. it's hard to get explicit names of harms like "Meth Recipe," but getting uplift on the process itself, like birch reduction method/reductive-amination (classic meth synthesis pathways), is much more doable.
defense becomes much more difficult to maintain when you start throwing in out-of-distro tokens, breaking up the harmful uplift into benign chunks, and then piecing the innocuous-seeming facts back together, especially when you have jailbroken Opus helping you do it 😉
gg
Unpopular Opinion: We aren't building the future 10x faster with AI. We are just generating legacy code 10x faster.
Everyone is currently bragging about developer velocity. "I built this entire backend in a weekend!" "AI wrote 80% of my codebase!"
But here is the reality check we are ignoring: Code is a liability, not an asset.
If an AI tool spits out 1,000 lines of functional boilerplate in five seconds, that is still 1,000 lines that a human being has to read, review, secure, and maintain when the dependencies inevitably break next year.
We are treating code generation like a pure productivity win, but we are optimizing for the wrong metric. The bottleneck in software engineering was never how fast we could type. The bottleneck has always been comprehension, architecture, and maintenance.
If we don't shift our focus from "generation speed" to "architectural sanity," the tech debt of the next five years is going to be an absolute, unmaintainable nightmare.
prediction re the end of spreadsheets
AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness.
think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row.
The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero.
this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure.
The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.
We published this today. Phenomenal analytical work to understand how things could play out. give us 1,000 retweets and 5,000 likes, and we make it publicly available and do a space to discuss findings first week of Jan.
Mark this day - Dec 1, 2025 - a digital credit rocketship just landed
Just as SpaceX "blows things up" as they design and test their rockets, Strategy has used a similar iterative process in designing their digital credit vehicle.
As they built out their preferred security offerings (that offer very attractive dividend yields with tax-deferred income), some cracks appeared in the vehicle.
What happens during a time when the price of Bitcoin declines, however temporary, and the company is challenged to meet those obligations?
Does the company have to liquidate some of their Bitcoin?
No, but investors still worried about whether the company could meet the dividend payments.
So they fixed "the crack" - by adding a USD cash reserve of $1.4 billion that's currently enough to meet 21 months of preferred dividend payments.
We just witnessed a Space-X-like iterative process to improve the vessel!
I was there and I can’t confirm this statement. A lot of treasury and corporate adoption talks, yes, but no crypto or tokens as far as I seen or heard. 🤷
I actually think the topics, speakers and space was pretty decent. The overall look and feel of the conference was on pretty high level, nothing crazy but definitely not underwhelming in any sense.
I’ve done quite a few podcasts now but this is *the one*.
Please share this with that person in your life who needs to find Bitcoin.
It’s the problem + the solution, packaged for the everyday person 🧡
https://t.co/aDfj6WhutI