astanway

Google ostensibly offers this as well. However - I’m in the middle of moving us to Azure and I have more details on the Google deal: you only have 60 days to complete the migration and then you must terminate your billing account. It’s a total window dressing of an offer and completely unrealistic for any reasonably large organization to use. Malicious compliance at its finest and I hope they get sued by the EU for it until they make it a more reasonable offer.

Feels like this would make a total mess of a cap table. It’s effectively equity in all the ways that matter for minority preferred shareholders, except that it isn’t represented on the cap table and it’s got baked in pari passu treatment, which growth investors (rightfully so) won’t like. Even convertible notes mess with cap tables in ways I’d rather not repeat, as it prevents accurately valuing employee equity grants. Also, none of this would be eligible for QSBS, which is a knock against it for the investor.

Additionally - what is the purpose of repurchases if they don't also reduce the exposure the company has to claims on liquidation? Noting that "repurchase" is probably dangerous nomenclature - if these were to actually be interpreted as equity repurchases by the IRS, it could endanger QSBS status for all shareholders.

What a farce. Everyone with a pulse can see the damage that Facebook has caused to our democracy and around the world. Facebook employees have a black stain on their resumes that they will need to answer for for the rest of their careers.

Yep - this is what 99% of electricity retailers do.

For wholesale players: yes. If you're a retailer and you buy an electricity future and then only use half of it across your customer base, you sell the remainder at real time prices. And for generator, selling real time power is the entire business model.

For consumers: no, not generally. Some markets have schemes to sell leftover solar power at real time prices, but I believe these are being phased out. Both grids and markets are by and large not set up yet for full two-way markets between consumers and producers.

$1M for a six week “EM plus two” engagement is on the high side, but it’s about par for the course for most McKinsey contracts. The standard is usually $500k-$1M for that kind of engagement. I think this is kind of a non-story for anyone who is actually familiar with the consulting business model. The brand is all McKinsey really has, and they are very quick to offer free engagements to protect the brand if true value isn’t being delivered.

That's really false. They are professional drivers, it's much safer to bike around them as opposed to regular people who don't understand how NYC streets work.

Saul Kripke built an entire career on what exactly names are, as covered in Naming and Necessity (https://en.wikipedia.org/wiki/Naming_and_Necessity), building on earlier work by Frege (https://en.wikipedia.org/wiki/Sense_and_reference). OP touches on some concepts they cover - it's definitely worth reading these two if you are interested in the philosophy behind names!

Realistically a price higher than that wouldn't really have any effect on incentivizing generators any more, since there is a limit to how fast they can ramp up, how much spinning reserve capacity they have etc. So, it mostly just serves to protect the market from falling off the rails. The grid operation itself is actually largely disconnected from the market - the ISO primarily calls the shots with scheduling regardless of what the market is doing.

RTM prices in ERCOT can easily spike to the price cap of $9000/MWh during bad days: https://www.spglobal.com/platts/en/market-insights/latest-ne...

It’s overpaying if anything. Why should the utility be forced to pay retail RTM rates for power that they could have bought wholesale a month before if they actually needed it? Utility ratecase logic often has many ratepayer-unfriendly motivations but this line of reasoning is legitimate, imo.

Utility scale batteries are not yet a proven and deployed technology. Not to say there aren’t successes - Aliso Canyon and the AEMO installation in Australia have both been very well received by their respective system operators. But there’s a very long way to go before batteries will exist as a viable, general alternative to natural gas peaker plants.

Wholesale price is definitely not “zero”. It fluctuates wildly, and if a retailer is exposed to the real time market at the flow date, they can expect to lose hundreds of thousands of dollars. RTM prices can easily spike from $50/MW to $8000/MW in an instant if a generator trips. So, retailers buy hedges to cover this risk, at price premiums that reflect the inherent exposure insurance.

If anyone is interested in this type of work, our team at Amperon is hiring data engineers, data scientists, and front end engineers. We’re funded by SV Angel and Notation Capital and we’ve already got traction in ERCOT (Texas).

More info: https://medium.com/@astanway/introducing-amperon-2cded368284...

> Something a government might never bother with.

Maybe because colonizing Mars is a massive waste of resources that could be better spent fixing the planet we already live on? Or do you think the solution to scarcity is to have billionaires play with their space toys?

Amperon | Senior Software Engineer (Full Stack) and Machine Learning Engineer | NYC, New York | Full-time | Onsite preferred, remote friendly | https://amperon.co

We are a decade into the smart meter deployment era. There over 70M smart meters currently installed in the country, collecting 15 minute resolution electricity data for every type of ratepayer (including residential, commercial, and industrial). The data has been relatively untapped for the past decade, and Amperon is leveraging it to charge forward and bring AI to the energy world to usher in the smart grid of the future.

We raised our pre-seed earlier this year from some excellent investors, including Notation and SV Angel, and we've got a number of pilots with energy suppliers well underway. You'll be joining a small, dynamic team of data engineers, data scientists, and former energy traders.

Job listings: https://angel.co/amperon/jobs

More info: https://medium.com/@astanway/introducing-amperon-2cded368284...

Contact: abe@amperon.co

You severely need to check your bias if, after years of extremely similar incidences, it took a white death instead of a black death to convince you.

Sugar is such poison. There is zero nutritional value, unless you're in the middle of running a marathon. It should be severely regulated. There is no reason it should take substantial effort to find common food products containing <10g of sugar per serving.

The author calls herself a statistician but has no advanced OR undergraduate degree in statistics. I would not put much faith into this "research". Making conclusions and recommendations at the global and national population level is something I would only trust a proper scientist to do.

That isn't true. Making an order with an intent to cancel is a crime. Hedge funds routinely cancel orders, but they do not necessarily make them with the intent to cancel them from the beginning.

"A similarly-sized company of 15,000 might have 5 data scientists" - this is so far off the mark I don't even have a response.

Ah, the old "shortage" "issue". More likely, there is no shortage - just a shortage of engineers willing to be paid the low wages most likely on offer at these companies

"But religions want to control every aspect of human life."

You mean like controlling what kind of bathing suits people can and can't wear in public?

Seems like a sketchy business to me. Who founds a company, raises 4M out of the gate, and the acquires a competitor a month later? http://www.confirm.io/#!our-story/h6arz.

Combine that with a "partnership" six months after that, and it really seems like there is zero proprietary technology that was built by this company in the first place.

Yeah, this scenario is a million times more plausible. ML that augments human capabilities to empower bad people to do even more evil things.

Almost no one who actually works or has done serious research in ML is genuinely concerned about "malevolent AI". We are so, so, so far away from anything remotely close to that. Please stop trying to gin up fear and listen to the experts, who uniformly agree that this is not something to be concerned about.

Buying an abnormally large amount of short dated, out-of-the-money options is a textbook (and extremely rookie) insider trading move.

Detectica | NYC | Data Engineer + Senior Front End Engineer

http://detectica.com

Email: abe@detectica.com

We build insider trading detection + other fintech compliance related products for large banks, making heavy use of ML in our offerings. Our team of 12 currently has 5 PhDs - we are very serious about data science.

We're looking for more data engineers to help us build our data systems that catch bad guys through massive amounts of email and trade data, and we're also looking for a front end engineer to help us architect our front end through modern best practices. Bonus points for having an eye for data visualization design and implementation!

We offer market salaries + equity. We are unfunded and profitable!

You refer to engineers as "monkeys", it's clear you don't have any respect for them in the first place.

There's a difference between selling your information to marketers and trading on material non public information. I don't really see how consumer credit card data isn't material non public information, and if indeed it weren't, we should have expected to see Visa set up a hedge fund arm years ago.