SanDiegoSun

HBM3E is something China can’t do yet. And their DDR5 17nm node process just cleared high yield rates 2 days ago. It will be interesting to see what happens here.

Almost none of their ops is done there.

Read about their talent acquisition process and interview days. They certainly attract the most brilliant people, but it’s important guard rails are kept on them lest they repeat the same missteps their alumni have taken.

HFT raises pricing for retail traders by allowing front running of trades and makes the market less competitive overall for those without the infrastructure to do so. This isn’t even in question.

Do you really think tech gossip on capability pointing to advancements >2 years out is driving stocks? I'm sure analysts will take note, but this is just noise in a sea of sound.

I would argue their architecture choices long term proved to be prescient (RISC, ARM, etc) and securing TSMC production capacity (beating competitors to the punch) aided them as well.

I guess you forgot about windows TPM controversy. Comments like this make me realize a good majority have no idea what they are talking about and still decide to voice an uninformed opinion.

This seems to be a western issue. China has been producing nuclear reactors quite cost effectively.

Radiant with their modular reactors seems to be doing quite well.

Incorrect, newer GLP's upregulate metabolism and increase insulin sensitivity by acting as agonists on GIP and Glucagon receptors.

Please don't comment on pharmacodynamics without a solid understanding of the underlying mechanisms.

Your source claimed no provable increase in potency. This refutes that.

Of course a higher dosage of a more potent drug will lead to wildly different and markedly increased effects... I think you have your argument wrapped in semantic reasoning rather than pharmacology.

Beyond this, do you admit your premise is flawed?

> The psychostimulants d-amphetamine (AMPH) and methamphetamine (METH) release excess dopamine (DA) into the synaptic clefts of dopaminergic neurons. Abnormal DA release is thought to occur by reverse transport through the DA transporter (DAT), and it is believed to underlie the severe behavioral effects of these drugs. Here we compare structurally similar AMPH and METH on DAT function in a heterologous expression system and in an animal model. In the in vitro expression system, DAT-mediated whole-cell currents were greater for METH stimulation than for AMPH. At the same voltage and concentration, METH released five times more DA than AMPH and did so at physiological membrane potentials. At maximally effective concentrations, METH released twice as much [Ca2+]i from internal stores compared with AMPH. [Ca2+]i responses to both drugs were independent of membrane voltage but inhibited by DAT antagonists.

Do you intentionally cite way out of date scientific research? What is your background in pharmacology? The simple addition of the methyl group is known to effect absorption and potency.

People who are uninformed were trying to dunk. Dismissing its aerodynamics when it has a CD of .34; and decent efficiency per battery size.

Ultimately ignorant terminally online people complain and dismiss what is the best selling ev truck.

You can disagree, but you would be objectively wrong.

There are many demonstrations of contactless cards being “skimmed.”

Unless you store it in a wallet with a faraday cage, this is a laughable opinion to express.

Hi guys,

For my first AI project I decided to train a ChatGPT based language model on California’s HOA laws.

The site allows you to ask common questions you might have about state requirements and regulations surrounding HOA’s and common interest developments.

Being a board member of a 5 unit condo building, I’ve experienced the frustration first hand involved with parsing California’s Davis Stirling act to find answers to my questions.

Being this is very much a beta, and my first time dabbling with AI I’d love to hear any feedback HackerNews readers have to offer.