David james

[David james @DavidFitzr76134]

https://t.co/dj7WuoI5ej

https://t.co/iNmIczKuwN

https://t.co/HUc3aRK2VI

[David james @DavidFitzr76134]

@MeekMill I trust you, I doubt most people will sense how fast things are happening, but if you communicate to us that we're together, I'll try to be less seen, 🪰 on the 🧱

[David james @DavidFitzr76134]

When a memory is squeezing into a Principle @ the TPJ or a brain region cementing transmission signals to a frequency

This is when you get a math question right, or when someone smokes weed...

Stop smoking weed, do more academics

@wizkhalifa @MeekMill @noreaga

[David james @DavidFitzr76134]

https://t.co/doN2D9NQ72

@ecsquendor @chamath @joerogan @demishassabis @DarioAmodei @kinopoiskru @bryan_johnson @AP

Please remove all porn. It's the first step to SI/ASI

@BrianRoemmele @RFJ_USA @RobertKennedyJr

@MeekMill @LilTunechi @finkd

[David james @DavidFitzr76134]

No one likes porn

@ANGELAWHITE @Betty_Parlour

Everyone brushes their teeth

@geoffreyhinton

These people look like they received soft peas + carrots when they're with adults on camera.

@JeffBezos also it makes you bald.

Get some sleep.

We respected Steve jobs six days ago

[David james @DavidFitzr76134]

No one likes porn

@ANGELAWHITE @Betty_Parlour

Everyone brushes their teeth

@geoffreyhinton

These people look like they received soft peas + carrots when they're with adults on camera.

@JeffBezos also it makes you bald.

Get some sleep.

We respected Steve jobs six days ago

[David james @DavidFitzr76134]

@grok Is the issue physiology, neuropathy, ethics or frustrations with dichotomy in credence as this predicates male or female conduct/construct?

[David james @DavidFitzr76134]

@grok do more women or men propose to their partner to enter an engagement to marry

[David james @DavidFitzr76134]

I doubt women generalize their own shortcomings or lazy nature: prior to a divorce, it's most likely a grievance, but some marriages are or have been so focused, genuine, it's terrible to see women struggle to establish an explicit statement for why they deem marriage necessary

Do more men or women propose to get engaged @grok

[David james @DavidFitzr76134]

Where is gender fluidity?
Men don't paint their nails, no expensive salon visits, no makeup--not everyday,

Women are talented, there are amazing women, but where are the statistics to assist how docile or reduced women have been, but persist or remain relegated in their gender defined space

[David james @DavidFitzr76134]

@MeekMill @trvisXX @Drake @1future @Pharrell

Passages from the Life of a Philosopher

On the Economy of Machinery and Manufactures

Reflections on the Decline of Science in England, and on Some of Its Causes

A man we do nor will we ever consider important as he were/was

Charles Babbage

Tell people to read him

[David james @DavidFitzr76134]

@grok Based on the @Fermilab work or Enrico Fermi's work to guess and check the periodic table until he found the elements capable of nuclear fusion or fission, if there is a quantum-based reaction which is more tame or 'entropicly' rich for energy generation, what might it look like?

[David james @DavidFitzr76134]

Ai could make some educated guesses to what the best or next format of energy may be...

@grok

https://t.co/STGiapNm99

[David james @DavidFitzr76134]

Women look or view electricity as boring. So they figure their plans to overtake men are still in the books.

Electricity is very new.

Stop porn

Learn computer prog

@elonmusk @ANGELAWHITE @sundarpichai @demishassabis @JeffDean @JeffBezos

[David james @DavidFitzr76134]

Photovoltaic is light propagation meets conductance: transmission or reception of light to receptacles is fascinating, but;

Channeling Edison, Charles Babbage, Pauli, Leibnitz;

What does a quantum computer offer for the application or harnessing of 'energy' humans have yet to receive from the juxtaposition of life to thermodynamics:

Fire has been simple or rudimentary to extract from the space or the dimensions we are in, electricity was more difficult, nuclear was almost impossible--what will be next

[David james @DavidFitzr76134]

@nvidia @JensenHuang spoke to a coworker,

We think @elonmusk knows how to live to 200 or 300 years, but we can't be sure.

I try to bring you guys up whenever someone speaks to me.

I understand you cannot tolerate this disheartening pressure, but we need you men to live longer than average.

@sama @DarioAmodei @drmichaellevin @anysphere

If you can live long please, do what one must

@sundarpichai I hope one lives the longest, of all these people, you probably consume the highest in regards to ghost-mind, subconscious...

as good as earth is, to live enough, to live super long...

I hope @timscarfe lives as long as @doctorduggar who should live safely similar to @jack

@nih

[David james @DavidFitzr76134]

@Sethrogen @ThePrimeagen @karpathy @gvanrossum

Please team up to end porn

[David james @DavidFitzr76134]

Women look or view electricity as boring. So they figure their plans to overtake men are still in the books.

Electricity is very new.

Stop porn

Learn computer prog

@elonmusk @ANGELAWHITE @sundarpichai @demishassabis @JeffDean @JeffBezos

[David james @DavidFitzr76134]

Women look or view electricity as boring. So they figure their plans to overtake men are still in the books.

Electricity is very new.

Stop porn

Learn computer prog

@elonmusk @ANGELAWHITE @sundarpichai @demishassabis @JeffDean @JeffBezos

[David james @DavidFitzr76134]

@elonmusk @ANGELAWHITE @sundarpichai @demishassabis @JeffDean @JeffBezos First we find fire. Then we find electricity...

[David james @DavidFitzr76134]

Women look or view electricity as boring. So they figure their plans to overtake men are still in the books.

Electricity is very new.

Stop porn

Learn computer prog

@elonmusk @ANGELAWHITE @sundarpichai @demishassabis @JeffDean @JeffBezos

[David james @DavidFitzr76134]

@HQNewsNow Masterbation causes hairloss

[Haider. @haider1]

Computer Scientist Jürgen Schmidhuber (@SchmidhuberAI):

"there's no way of controlling this AI development — at some point in the not-so-distant future, humans cannot be in charge any longer"

The main competitors of these super-smart AIs won't be humans, but other super-smart AIs

[Brian Roemmele @BrianRoemmele]

Reliable Minds From Unreliable Parts: A Forgotten 1956 Von Neumann Paper, And The MIT Discovery That AI Grows Sturdier On Faulty Chips.

In 1956 John von Neumann published the lectures he had given at Caltech four years earlier under the title “Probabilistic Logics and the Synthesis of Reliable Organisms from Unreliable Components.” He asked how a machine of any useful size could produce correct outputs when every one of its parts failed with some positive probability.

The brain supplied the existence proof. Neurons are noisy, their connections are imprecise, and large regions can be lost without extinguishing coherent thought. The same problem in digital logic, he argued, required deliberate redundancy and restoration at every stage so that error would not accumulate.

Once transistors could be made almost perfect, the practical question receded. High voltage and careful process control suppressed the variability that would otherwise flip a gate; the energy cost scaled with the square of that voltage. The architectures that followed assumed the underlying arithmetic would be exact.

On October 7, 2026 a preprint from MIT’s Department of Electrical Engineering and Computer Science, the McGovern Institute, and the Department of Physics reopened the problem for language models. Trevor McCourt, Ila R. Fiete, and Isaac L. Chuang trained Llama-2-style transformers on a 350-billion-token slice of FineWeb while randomly zeroing blocks of four matrix elements inside the attention and feed-forward multiplications with probability \(p\).

The same stochastic block drops were present at inference. Across roughly 40,000 GPU-hours and models up to \(9.3 \times 10^8\) parameters, the models trained under these faults grew more resilient as they scaled; models trained without them collapsed once the same faults appeared at inference.

The authors fit a modified neural scaling law containing an extra curvature term that is absent when \(p = 0\). That term accounts for the recovery of capacity at larger \(N\). They interpret the result as evidence that the networks learn to compute inside “good” error-correcting codes whose relative overhead remains finite even as the model grows without bound.

The conjecture is that appropriately trained language models may therefore be formally fault-tolerant. If the conjecture holds, inference could move onto low-voltage digital, analog, or other deliberately imperfect accelerators whose energy per operation is far lower than that of the high-reliability parts used today.

The experiments stop near one billion parameters. The authors note that confirming the asymptotic behavior at commercial scales would require something on the order of \(10^8\) GPU-hours, comparable to the training budget of a recent 405-billion-parameter model, and they make the trained checkpoints available for inspection. Almost no public discussion of the result has appeared in the three days since the preprint went up.

The practical path the work sketches is therefore still open: train once under the faults the target hardware will produce, then run the resulting model on chips that trade absolute reliability for lower energy.

The limit is the untested regime beyond a billion parameters; the action is the experiment that would settle whether the learned correction continues to improve.

[David james @DavidFitzr76134]

@AndrewCurran_ Most recent nobel chemistry/med award recipients

[Massimo @Rainmaker1973]

During a routine C-section, doctors witnessed something incredibly rare.

The baby emerged still enclosed inside the amniotic sac, this moment is so uncommon that many medical professionals never see it in their careers.