skysight-inc/HackerNews huggingface dataset:
Wasn't their comment saying that just the opposite was happening? That for-profit Google was better at this than non-profit Mozilla?
RA = Resource Action. Add it as the next entry on a long list of euphemisms for layoffs.
Sounds like the "fast food" (in the street or market) in Mexico though.

Different configurations of the same corn, chiles, and meats. Grilled or fried. Tacos, sopes, flautas, enchiladas, gorditas, quesadillas.

Frankly sounds like all fast food except a place like Chili's, so doesn't seem like very scathing criticism.
That reminds me of how much I hated software license USB dongles.
We don't know if there is no life there, we've never been.

Almost every time we've assumed that an environment on Earth was "too harsh" to sustain life we have been proven wrong. We have no model for something that might live on the surface of Venus or below, but there could be something in the clouds.
The Broke Public Servants Program
Can we discuss this? I would like Facebook to listen to my conversations.
The problem with Intel, as I see it, is an inability to get new designs to production, and a low tolerance for market growth versus market sustainment. They’ve been a disaster at acquisitions, being totally fine with wasting billions on failed outside investments without any program for internal ventures. The latest focus on “Intel is now a data company” is just complete denial of the reality.

But the margins are awesome, and I’d reject any notion that they should erode that with fab services. They need more of the high-volume, high-margin Intel-designed chips that have been their hallmark. Everything else is a distraction.

Some of that depends on identifying new forms of computing. Therefore, it makes sense to do technology experiments, but lately Intel has focused on market experiments, where they are not really developing new technology, but building internal organizations with sales, marketing, and product management that dwarf engineering.

This is a problem not just because it diverts resources, but because nobody really knows what Intel is anymore. Engineers don’t feel like they are working in an engineering company anymore.

Intel’s margins are great, and despite the negative prognostication, their market position is still dominant. Even the engineering talent at Intel is still some of the best, although the management is somewhat deliberately not their best representation. They Just need to focus on being an engineering company again, ignore sales, ignore acquisitions, and invest in their own people to do the experiments that will lead to the next ubiquitous high-margin chip.
My experience with aircraft autopilots is limited. I've used them in small planes (altitude hold, heading hold types). I have read about them on commercial and military jets, in order to simulate them for a flight simulator.

With that caveat, every autopilot system I've studied turns itself off if the plane is outside its flight regime. So for example, if you pull a plane straight up and do a tail stall and try to turn on the autopilot, the autopilot would refuse to engage as the plane isn't in a "flyable" regime.

What is more, the autopilots I've seen were explicitly programmed to be pilot activated, so even if the plane went from one regime where the autopilot kicked itself off automatically, back to one where the plane could be flown by the autopilot, the autopilot would not automatically re-engage.

If the pilot ejects because they cannot control the plane, neither can the autopilot so it won't be on. If the pilot put the plane on autopilot and then ejected, the ejection would most likely force the autopilot to disengage. If a pilot put a plane on autopilot, walked into the back of the plane and opened a door and parachuted out, the plane would continue flying on autopilot until it ran out of gas and then the autopilot would disengage and the plane would crash.
>Patents on mp3 and RSA didn’t prevent them from being used everywhere

When the people who spread adoption ignore the law, sure patents don't prevent anything, e.g. https://en.wikipedia.org/wiki/MP3#Internet_distribution

If you take a different example, say, improvements to JPEG, it's a lot harder for camera manufacturers to ignore patents. You're at the mercy of the patent holders, whose terms apparently haven't been reasonable enough for anybody to improve the compression in digital photos beyond what we had decades ago.
Show HN: My first PWA, an educational game. My kids loved it, hope you do too
Progressive Web App, "Finding Nora": https://nora.now.sh/

It was also my first attempt at TypeScript + React. Preliminary conclusion: Getting started is a bit slower and the code more verbose, but refactoring become sooo much easier. And: Almost no need to reload and debug anymore. Once TypeScript is satisfied with my code it generally just works.

Source code and more information can be found here: https://github.com/vnglst/finding-nora
This is incredibly disturbing, they need not inject a unique ID like Verizon’s, they can now do it all on the backend.
Economic health in general? GDP misses some important details, but it's a much better measure than simply looking at the share prices (not even the market caps) of a small selection of companies operating in a specific sliver of the economy that was very important 100 years ago, but represents a declining fraction of overall US productivity.
> [..] part of the game!

Why not trying to spice things up with a baby coming at the same time or your significant other being diagnosed with cancer ? /s

Wtf, people :|.
Disclosure: I work on Google Cloud (and with OpenAI), though I'm not a PM :).

As gdb said below, the GPUs doing the training aren't preemptible. Just the workers running the game (which don't need GPUs).

I'm surprised you felt cost isn't interesting. While OpenAI has lots of cash, that doesn't mean they shouldn't do 3-5x more computing for the same budget. The 256 "optimizers" cost less than $400/hr, while if you were using regular cores the 128k workers would be over $6k/hr. So using preemptible is just the responsible choice :).

There's lots of low hanging fruit in any of these setups, and OpenAI is executing towards a deadline, so they need to be optimizing for their human time. That said, I did just encourage the team to consider checkpointing the DOTA state on preemption though, to try to eke out even more utilization. Similarly, being tighter on the custom shapes is another 5-10% "easily".

Don't forget, they're hiring!
Facebook's been doing this kind of thing for awhile, but I think it will ultimately damage them in the long term, regardless of whatever short term effectiveness their metrics show. With these emails, Facebook is acting like a desperate, clingy ex, which encourages negative emotional associations to their product when none may have existed.
> ...and a really good simulated environment that captures the problem you’re solving.

The original "data is the new oil" quote was pointing out that raw data, like raw oil, requires lots of processing/refinement before the raw resource becomes something with a lot of economic value and potential [1].

In that sense, simulated environments are the oil of deep RL.

Deep RL has a lot of promise (and obv is already delivering on that promise). But when it comes to the need for high-fidelity and accurate models, we're out of the frying pan and into the fire.

[1] https://medium.com/@TalPerry/on-labeled-data-85fbaf1bdf89
Do the employees given the three options know this is coming? IE, has their manager communicated to them as part of their daily communication that there is a problem? If not, Amazon really needs to start there. If I have to fire an employee for performance problems, it should not be a surprise to them.
It seems extraordinarily generous to offer a choice of severance or a hearing in front of an impartial "jury", as alternatives to a PIP. Anyone who's been working for a while knows that when you get to a PIP, you basically have one foot out the door. Relatively few people go from PIP back to a valued, productive employee.
The shaking was worse in Oakland and SF than it was in places closer to the epicenter, like San Jose.
Online dating systems aren't really optimized for much of anyone, sadly. They tend to be balanced between optimums for different user demos.
For-profit companies can also make a profit off a special need audience, if not directly then through good PR and not getting sued. So I'm not sure that Firefox will really have better accessibility in the long run.
I wish the next thing he did was a factory to "build" these schools. I am afraid the world's education system is stick in the XIX century...
The link is: https://www.devteam.space/blog/how-to-start-building-your-ow...

After reading half of the post, and skimming the rest of it, it seems to be a very VERY generalized version of the process. The article starts off as teaching you how to build a SaaS Platform, and concludes with how to build a SaaS Product. Both are very different things.
The supply of developed real estate has much more inertia than most of the market.

It takes most of a decade to see the full effects of a temporary surplus or shortage.
It seems like it would take tremendous effort on Uber's part to keep EVs viable as ride sharing vehicles otherwise you're looking at vehicles that will provide 3 or 4 trips a shift then be done for the day. Refueling an ICE takes 5 minutes tops then it's back on the road at 100% effectiveness and gas stations are everywhere. Even with the highest DC Fast Charging you're still looking at 15-30 minutes to get an EV to 80% and DC Fast Chargers are uncommon, so there would need to be a build out of DC Fast Chargers available possibly exclusively to Uber EVs. Highway speeds are nightmares for EV range so Uber would need to assign fares selectively based on vehicle types and routes. Loitering isn't an effective use of an EV so you'd need to provide parking solutions near prime pickup locations. You can safely assume an ICE has range for a 10-15 mile trip anywhere but with EVs you'd need to be aware of the battery capacities and plan routes near charging stations so EVs could top up.

It just seems like a nonstarter and I'd feel bad for an Uber driver who purchases an EV thinking it will net them more profits.
Ye, I was driving with an e-Golf in Lisbon. The poor guy had to charge it every 200km or something.
Sorry if it was misinterpreted, my global point was that there’s a lot going on.

The article I picked was about the body compensating calory loss, but there is also other mechanism like increasing stress that boost up appetite in some people.

For a lot of people decreasing the amount of calories will be a psychological hell and can’t be done without dramatic changes to compensate. Telling them “reduce your calory intake, it’s not magical” will just be cruel and unhelpful, when they need structural rethinking of basicaly their life.

Some other will lose mostly water non-fat stuff and think their diet is working and not understand the ups and downs in their weight, and it’s not simple to manage if you don’t follow your muscle ratio.

Other people need to realize they actually don’t suffer much by reducing food intake, but never tried to because of social stigma or all the “influencers” shouting that diet is hard.

I’m not kin of the “Just do it” mantra thrown around to large swaths of people. As you point out some people might be on the edge of something, I just think they’ll eventually find what they need to do, while the rest of the people hearing the same message also have a chance of getting deeper in their hole by believing simplistic cheerleading.

My message would be “if you care about your health, talk to your doctor to know the actual stakes and see by yourself what you’re comfortable with”
Monte carlo simulations don't model reality very well here. Years are not independent of each other.

For buy and hold to fail for something like the S&P500, companies would need to fail to make money or pay dividends for 50 years. If that's going on retirement is the least of your concerns.
AT&T owns the legislative & regulatory bodies that would enact something like GDRP in the US. They aren’t worried.
Not only is it less than you think, but it changes with consumption! CICO is true but only trivially so, the variables are dependent. You can run 3mi to burn more calories, but you get more hungry as a result.
> amazing information retrieval system

Which I imagine still has lots of value on it's own for large, complicated data sets.
> She wasn’t invited to watch her boss’s presentation, and he got the last word.

Hearing the argument of your accuser and being given time to rebut with evidence contradicting it is a critical part of a justice system.
There is a chart here from the same site (which would have been useful for them to have included in the main article) which shows how this device theoretically compares with others and with the end goal:

https://www.ipp.mpg.de/15144/zuendbedingungen

Unclear where in that shaded region the new result lies.
So far, we have a long way to go to build higher quality code. There's a few reasons:

1. Blockchain smart contracts are often unchangeable, so you can't fix bugs

2. The language is being built as people write code, with some bad design choices that encourage mistakes (slowly being fixed)

3. Libraries are still being developed

4. Tooling is still limited (even basic linting)

5. People are not taking the time to have a beta process.

6. People prematurely optimize gas, at the cost of readability

(For non-Ethereum devs, here's a short tutorial for how the language works: https://learnxinyminutes.com/docs/solidity/ )

My own view is that you have to code expecting that things go wrong, and ensure that your logic survives inevitable mistakes ('resiliency').

There's a lot of great resources on security, for people interested in this space:

Ethereum Safety: https://github.com/ethereum/wiki/wiki/Safety

Decentralized Application Security Project: https://dasp.co/

Consensys Smart Contract Best Practice Guide (I helped coauthor this back in 2016 after the DAO):
https://consensys.github.io/smart-contract-best-practices/

Hacking Distributed is a great blog for blockchain security:

http://hackingdistributed.com/

Emin and Phil Daian are great to follow on Twitter:

https://twitter.com/phildaian

https://twitter.com/el33th4xor

Audit Checklist (written by my team): https://github.com/cryptofinlabs/audit-checklist

(Disclosure: Our team does audits for a few projects: http://audit.cryptofin.io/index.html )

Feel free to add other resources to this thread. Imagine it'll be useful for everyone.
What do you mean by current?
The problem at IBM is not technological; it's managerial.

For a long while now, IBM has been treating "AI" as a product that can be managed, packaged, and sold by "general" business managers -- think MBA-types with only a superficial, qualitative grasp of deep learning and AI. Doing that with rapidly evolving technology is a sure-fire recipe for failure.

Most such MBA-types today are ill-equipped to manage, package, and sell "AI." They're roughly in the same position as English or History majors who are asked, say, to manage, package, and sell a new kind of quantum-computing technology without knowing or understanding much about quantum physics. The technology is moving faster than their ability to keep up.

IBM's mismanagement is a shame, because the system they showcased nearly a decade ago -- the one that competed and won in Jeopardy -- was state-of-the-art at the time.
After all the trouble I had with activating Windows and Office and whatnot, I have come to kind of appreciate dongles, actually. Migrating a license from one machine to another is as easy as unplugging the dongle and plugging it into the new machine.

OTOH, the company I work for has a customer that uses some ancient automation software to run an industrial plant, and that software uses dongles attached to the parallel port, and I mean the parallel port. Using USB-to-parallel-adapters does not work, and finding motherboards with parallel ports has become rather difficult. :-|
I don't think autopilot programs are anywhere close to that complex. All the ones I've seen had modes like "hold course and speed" or "follow a series of pre-programmed waypoints". Some military aircraft will have a radar guided terrain following mode as well. In the (highly unlikely) event that the autopilot is engaged when the pilot ejects, the autopilot is just going to continue following whatever mode it's set to.
Disclosure: I work on Google Cloud (and vaguely helped with this).

For me, one of the most amazing things about this work is that a small group of people (admittedly well funded) can show up and do what used to be the purview of only giant corporations.

The 256 P100 optimizers are less than $400/hr. You can rent 128000 preemptible vcpus for another $1280/hr. Toss in some more support GPUs and we're at maybe $2500/hr all in. That sounds like a lot, until you realize that some of these results ran for just a weekend.

In days past, researchers would never have had access to this kind of computing unless they worked for a national lab. Now it's just a budgetary decision. We're getting closer to a (more) level playing field, and this is a wonderful example.
That wasn't the autopilot though, that was just aerodynamics.
There are still downstream effects with this. Exchanges, financial products on top, all have to deal with this. And this also goes against decentralization.
Well, since ISPs are now free to sell / monetize consumer traffic data [0], this makes some sense. They are pretty desperate for ways to be something more than a dumb pipe for other's content.

[0] https://www.govtrack.us/congress/bills/115/sjres34/summary
Over short time scales, maybe. Over longer time scales, however, this will create an incentive for Uber drivers to switch over to electric vehicles, once it becomes known that electric vehicles are more profitable to drive for Uber because their utilization is higher (in addition to saving money on gas).
> I know I sound like an anti-climate change-ist but I'm really an anti-sheep-people-ist, skeptical of things that have signs of religious faith such as appeal to consensus, being certain of their claims, predicting doom on disbelievers, and insulting and silencing people for heretical speech or doubt, and proselytizing.

Bingo! There is so much about the current situation that sounds not at all like science but rather so much like doomsday cultism that it's hard to take a lot of what's being said seriously. Bouts of this warped type of thinking aren't at all new, either, but rather date back throughout much of human history, and they have often been associated with religious dogma.

As to your experiments, I gather what was actually being demonstrated here was just the actual greenhouse effect rather than any greenhouse _gas_ effect, much less one associated with CO2. I mean, unless maybe you actually played around with the CO2 levels during those experiments. Which, given the minuscule CO2 levels that we're talking about - around 410 ppm (0.041%) even today - would have required rather extreme care and precision.
It's not aloofness or isolation - and it's perhaps less sad if you consider that people -- by force of things -- are going to explore how to survive best during tragedies (which includes helping their families). The finger-wagging at corrupt or inefficient systems is important at a certain intellectual level; the rest of us have to think about mortgages and other such earthly things.
Most banks request a second auth factor (SMS, code, phone call) before executing a transfer to a new recipient.
> It will glow like a galactic beacon

There's no reason to believe it would have to accelerate for all its curse.

> You pretty much have to talk microbe scale to go unnoticed in space.

There are myriads of stars we know nothing about, planets being discovered; and dust clouds only detectable because they are unbelievably huge.
Watson seems to be hyped as powering the entire world but I have yet to see a real project using it in any capacity. I haven't even heard a cohesive description of what Watson even is, beyond surmising that it's a suite of AI-like services, although any APIs seem to be hidden within the broken IBM cloud interface, perhaps on purpose.
I wrote a system that automates disappointment.
I wrote it once and now the disappointment keeps on coming.
My kids ask questions like this all the time.

Them: What if a shark jumped into a volcano?

Me: That wouldn't happen because sharks live in the ocean and can't jump high enough or far enough to reach land.

Them: OK, but what if?

Me: ... It would get burned and die...

So yes, if a pilot ejects and the plane had auto-pilot on and the auto-pilot was programmed to try to land after a pilot ejection and the plane was still safe to fly, the plane would in fact attempt to land.
Sorry but this is sad
While this is a cool result, I wonder if the focus on games rather than real-world tasks is a mistake. It was a sign of past AI hype cycles when researchers focused their attention on artificial worlds - SHRLDU in 1970, Deep Blue for chess in the late 1990s. We may look back in retrospect and say that the attention Deepmind got for winning Go signaled a similar peak. The problem is that it's too hard to measure progress when your results don't have economic importance. It's more clear that the progress in image processing was important because it resulted in self-driving cars.
There are buyer restrictions you can set up that stop this.
Almost all of these models assume that an "advanced civilization" must have language and radio astronomy and I've always felt that's a rather odd set of parameters. It's completely possible that we haven't found anyone else because we are looking for the wrong things.

We are looking for ourselves in the stars and fail to realize that we aren't "it". We may not even be the most advanced species on Earth.

When all the dolphins rise out of the ocean and into the sky maybe then we'll realize, but it will be too late.
An inverted yield curve is an explicit statement that bond buyers expect the near term to be worse than the long term.

When the yield on the long-term note is smaller than the short-term yield, and buyers would still rather buy the long-term note, something is afoot.
A private and secure iOS browser
I did, but that's largely because the manager who put me on the PIP was himself on a PIP, and was fired before mine was up.
FDA approves country’s first medicine made from marijuana
SEC ICO regulations explained
It’s a combination of reputation and the description. I’ve sold hundreds of mid value items with no negative feedback.
OVH already markets its data centers as operating "outside of any reach of US infrastructure."
> They couldn’t decide on a roadmap,” says the second engineer. “We pivoted so many times.”

> Both Phytel engineers say the offering managers didn’t have technical backgrounds and sometimes came up with ideas for new products that were simply impossible.

The death knell of all (potentially) good products. I don't know why this is so often the case. All software companies need engineers involved in product development decisions. Period. It's not optional.

Facebook who was smart about this. They hired or retrained technical people to fill many business roles in marketing, product development, project management, etc.

I'm not sure why technical people are restricted to merely being the builders in these companies. Lots of other companies recruit internally from people familiar with the end product and train them in other business areas.

> these potential customers weren’t impressed. Instead they asked for something resembling Phytel’s old system.

So they simply imagined a new product without interviewing potential customers beforehand on what they actually want? They spent years merging databases of two big systems, pivoted multiple times, to find out there wasn't a market for it in the first place?

Why aren't the 'offering management' people getting fired?