Terence Tao says the math behind today’s LLMs is actually simple. Training and running them mostly uses linear algebra, matrix multiplication, and a bit of calculus, material an undergraduate can handle. We understand how to build and operate these models.
The real mystery is why they work so well on some tasks and fail on others, and why we cannot predict that in advance. We lack good rules for forecasting performance across tasks, so progress is largely empirical.
A key reason is the nature of real-world data. Pure noise is well understood, perfectly structured data is well understood, but natural text sits in between, partly structured and partly random. Mathematics for that middle regime is thin, similar to how physics struggles at meso-scales between atoms and continua.
Because of this gap, we can describe the mechanisms but cannot yet explain capability jumps or give reliable task-level predictions. That mismatch, simple machinery versus hard-to-predict behavior, is the core puzzle.
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Video from 'Dr Brian Keating' YT Channel (Link in comment)
$EOS.AX $EOPSF $GP6
Estonia redirected €500M to air defence, signalling the limits of the US umbrella. Even small Baltic states now treat European autonomy as raw survival math.
The Milrem Robotics + EOS Apollo 100kW laser deal creates a scalable European counter-drone stack. Lasers deliver the infinite magazine effect against drone swarms where missiles can’t.
This fits the broader decoupling pattern of accelerating trend for European NATO countries (especially frontline Baltic and Nordic states) building independent defense capabilities to reduce heavy reliance on the US security umbrella.
Europe rearming faster than expected, with Australian deep-tech carving into legacy supply chains. Rheinmetall and Hensoldt won’t own everything forever.
Strong validation for the $EOS.AX Europe story. The budget shift writes it plainly!!
@LindaFloresNol1@tufpraise Stfu Linda, go suck eggs. What do you think is more important? DJT or The children of this world. If you say DJT go suck some more eggs
This is insane 😳
Most people are just using AI tools
Very few actually understand how they work
So I collected Stanford’s complete LLM curriculum
and turned it into a step-by-step learning path
Worth over $500
Giving it away free for the first 4,500 people
Transformers → Training → Alignment → Agents → Evaluation
Study this once and you’ll stop guessing with prompts
and start thinking like a real AI engineer
How to get it:
Follow must (so i can dm you)
Rt and comment 'LLM'
@ryangrim@JohnJHarwood The problem this white supremacist regime is running into is that you can’t go halfway fascist. They’ve crossed a line that only the complete suspension of law can save them from. Their Achilles heel is the killing of other white people which even their base struggles with.
He shot an unarmed woman twice, called her a “fuckin’ bitch,” blocked paramedics, let her bleed out, and then fled the scene.
In no universe is this man an “innocent law enforcement officer.”
And your willingness to lie about things we can all see with our eyes is psychotic.
Mkay folks, know what a lot of investors tend to miss? ASYMMETRIC opportunies.
Companies like Kraken Robotics and AST SpaceMobile are quietly building the kind of foundational infrastructure that becomes incredibly valuable long before the market prices it in.
ASTS is putting together a game-changing communications network in space, while Kraken is delivering the subsea sensing, autonomy, and power tech that powers modern naval ops and keeps us aware of what's happening underwater.
What really gets me excited is Kraken's partnership with Anduril. As Anduril ramps up its autonomous undersea platforms, Kraken's sonar and subsea power solutions get pulled right into a much bigger defense ecosystem with real production scale and deployment muscle. Just the other day we saw Trump announce the desire to increase the defense budget from $1T to $1.5T…
On top of that, the new manufacturing facility in Nova Scotia is a big deal. It seriously reduces execution risk, boosts capacity, and sets Kraken up perfectly to handle growing demand from NATO and allied navies. We're watching the company shift from "development story" to "serious industrial scaler" RIGHT in front of us.
And yet, Kraken still trades at a huge discount compared to peers such as Ondas Holdings, which often gets sky-high multiples just for its future autonomy potential. Even though it's still burning cash with limited revenue. Kraken, is already generating real revenue with incredible margins as a defense tech supplier, with actual customers, a solid backlog, and now manufacturing scale to back it up.
Once it uplists to the TSX (and eventually Nasdaq), better liquidity and more institutional eyes could spark real peer comparisons. This can set the stage for the same kind of re-rating we've seen in other defense infrastructure names when the market finally wakes up to their true strategic importance.
Shout out to @transhumanica for their detailed analysis that covers both companies.
https://t.co/j2uQUlQGR8
$ASTS #ASTS
$KRKNF #KRKNF
@JDVance You a stupid smug asshole who can't get his head out of the ass of the people around you. You must be either dumb or gay if you think whoever the fuck you just said in your post makes any sense. Shut your maggot infested mouth up. You literal inbred retard. Fooh