Cryptoflencer

Not a #memecoin but my top pick for #AVAX: $Weapon Category: #GameFi Markets: @TraderJoe_xyz #AVAX, no Cex yet MCap: 12m Circ Supply: 100% Holders: 3.2k Status: Open Beta on @HyperPlayGaming Next: 2nd series of playable #NFT characters #Degenerator x.com/gibs_ludicrous…

@notthreadguy Bought oil, shorted stocks.

so literally nothing is a hedge against geopolitical chaos?

They're doing drone strikes with a KANBAN board and story points

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.

JUST IN: 🇺🇸🇮🇷 Oil prices rise above $85 after US intelligence detects Iran may be deploying mines in the Straight of Hormuz.

BREAKING: US oil prices officially surge above $104/barrel for the first time since July 2022. US oil prices are now up +90% since the December low.

@JShodanVR What happened to the kids in the 90s who dreamed about this possibility? We are parents now, too busy to play at such a level.

I don’t understand. This stuff is real, it exists, you can actually buy it, and yet the VR market is almost dead. What happened to the kids in the 90s who dreamed about this possibility? Why do modern kids now go crazy for games where you don’t really do anything, where at most you just swipe up and down, or spend their time screaming in stupid games that require no concentration, like amoebas with no curiosity? This stuff finally f***ing exists, and yet the videogame market pretends it’s invisible. F***! F***! F***! In 1998, when we were 13 playing Resident Evil 2 on the PlayStation with my friends, we would have killed to be able to play something like this. Credits: @VirtuixOmni here’s their YT channel: youtube.com/watch?v=Evyjom…

@ModernxDad Stupid. If you plan to pay off faster take the shorter period and you get lower interest. At least where I come from

What are your thoughts on this❓

@stats_feed Family & Health Everything else didn’t matter

People 40+, what actually mattered in the long run and what didn’t?

@TheChiefNerd There is this tiny secondary effect, next to creating productive workforce, called LIFE though. You could almost say that all this energy is invested in LIFE and human beings being productive comes as a plus

🚨 SAM ALTMAN: “People talk about how much energy it takes to train an AI model … But it also takes a lot of energy to train a human. It takes like 20 years of life and all of the food you eat during that time before you get smart.”

@ctindale Good take. What I consider the biggest challenge is that in large corps you won’t see everything turn into AI at once. Instead it’s going to be piece by piece, with big effort to embed that new AI step into the „old“ structures. It’s going to take ages to turn everything around.

As I have been saying (over and over), the employment apocalypse rests on a misunderstanding of how enterprise systems actually evolve. It assumes that the existing software order can be overturned by enthusiasm and marginal cost curves. It assumes that the operating expenses of an AI agent are transparently lower than those of a salaried employee, and that organisations will therefore reorganise overnight. This confuses technical capability with institutional transformation, and it's embedded in the AI business plans and Opex. The apparent naivety of these AI gurus outside their core expertise is stunning. Even Elon recently commented that the current crop of AI guru predictions shows they've never built anything; the very reason he wants to put data centres in space is that he can't get the electricity to build them on Earth. This mirrors my reasoning. Modern enterprises are not loose collections of tasks waiting to be automated. They are bureaucratic structures built on procedures, accountability chains, compliance regimes, and risk management. Software is embedded inside that structure. It encodes reporting lines, audit trails, permissions, regulatory obligations, and financial controls. Replacing a human is not the same as replacing a line item. It is replacing a node in a web of responsibility. There is an assumption of instant convertibility: that firms will discard their SaaS infrastructure and replace it with agents because token costs appear attractive. This ignores the deeper cost, supervision, validation, integration, security hardening, model monitoring, and failure management. The visible API price is only the surface. Beneath it sits an apparatus of control. Rationalisation won't move at the speed of demos. It moves at the speed of institutional legitimacy. Procurement cycles, internal politics, retraining, regulatory clearance, and risk committees govern adoption. A system that handles payroll, compliance, or client records cannot be replaced because a podcast claims efficiency. The biggest question on AI take-up is not whether AI can perform a task. It is whether AI can be incorporated into an existing bureaucratic order with equal reliability, calculability, and accountability at a lower total cost. Only when it satisfies those criteria does it become rational for the organisation to restructure itself around it. There will be a change (there always is, I have been looking at software migration for 40 years ). There will be displacement (again, that has been consistent for 40 years). But the fantasy of instantaneous labour replacement assumes a world without institutional inertia. Modern capitalism is built on administration. Administration does not dissolve because a new tool appears. It absorbs, evaluates, and reorganises only then.

@Thebiglade Fking hell. 9 to 5 isn’t even ambiguous. 9/5 could be, simply because some ppl would think of 9 to 5 coz it’s much more common while other would apply the 24/7 logic.

i used to think “9 to 5” means a job from 9am to 5pm

@travisakers Benefits outweigh the risks already.

Nobody, and I repeat, absolutely nobody should ever upload their medical information into an AI platform. I am telling you this as a former intelligence officer.

BREAKING: Ryan Cohen, the billionaire CEO of GameStop, $GME, has said he is eyeing a major acquisition, per WSJ

Special Guest on Monday

Silver experienced a 35% drop in one day. This event is bigger than you can imagine. Of course, it will be a memecoin and it will be Alpha. Tomorrow, the whole world will be talking about it. $Silvur coded tP547boQzPrZbqWGzHcw33w7ZWDxFf4RMnZfqaLpump

"@GameStop CEO, @ryancohen, says he is eyeing major public company acquisition..." - WSJ Full Article #GameStop $GME #GME

Nice $Elon pump and dump. That’s exactly how you bring ppl back onchain… NOT

Ryan talked with the WSJ.

@GamewithDave Star Ocean 2. Which isn’t even on this crappy list

Best JRPG from this list?

@CryptoKaleo Heh, right. I remember checking if there is a website, Twitter and TG channel as sign of „legit“ token launches 🤣

I'm old enough to remember when nobody would invest in any token without at least acknowledging the white paper first. Now, I honestly can't remember the last time I've seen anyone mention the word white paper on the timeline.