1,312 karma · joined October 15, 2020
My pessimistic side suggests this could be purposeful obfuscation of implementation by using complex language. No one will question their solution if no one can understand it.
On the other hand, I'm a big proponent of the Algorand project and based on the general quality of their work (the tech, docs, tutorials, etc.), I'd be surprised if there were anything malignant going on.
Kudos to you, Jimmy (and team). Keep up the great work.
This really would crash the utility of transfer apps like Venmo to zero.
I'm consistently repulsed by the lack of thoughtful discussion in crypto communities. For a space littered with intriguing technology it's endlessly frustrating that there's no HN-like forum. Instead, any community that started off that way is now filled with speculators and shillers.
Take your pick for where to source your news: 1. crypto influencers on YouTube who are paid to shill, 2. forums likw Reddit filled with speculators and conmen, 3. pump and dump groups on Telegram.
The greed and FOMO on display in the crypto gold-rush is deeply depressing, and for the majority who join the craze at the peak of the bull run, it'll surely end in tears.
* What an incredible transformation that London has seen; the city then was surrounded on all sides by fields. But still through this transformation - and also through the Great Fire, the civil war, the World Wars - it's still recognisably London.
* Notice several casualties that the city's been dealt, including 1. the old - and imho far more beautiful - London Bridge (https://www.golakehavasu.com/london-bridge), 2. the old city wall with all the gatehouses still intact, 3. Baynards Castle which was destroyed during the Great Fire.
* The two arenas at the bottom of the image were for bull and bear baiting - for betting and entertainment. We've come a long way as a society.
* Charing Cross monument was still there, which surprised me. A quick search shows there's been a cross there since the 13th century (https://en.wikipedia.org/wiki/Eleanor_cross).
Such rebranding is endemic in article headlines like this. The term “AI” may be in vogue but 99.9% of the time it’s really just putting lipstick on a pig.
There’s a non-zero percent chance for upsets in the current system. In ESL there’d be no chance. Zero. Zilch. That difference is fundamental and transcends the collective psyche of world football.
The decentralised, utopian vision only works if the entire game is played there.
Also, a side note, KYC is a good thing for things like AML. The ability to dispute with centralised orgs like banks is a good thing; the major issue with decentralised solutions is that there's no accountability for issues like fraud.
I struggle to comprehend how an energy obliterating and (relatively speaking) primitive technology like Bitcoin is the top dog in this space. Sure, first mover advantage counts for something, but come on - how has superior tech not yet left it in the rearview.
In a space that moves at such rapid pace with heavy investment and buckets of innovation, at some point the crowd surely will migrate en masse to a PoS based blockchain like (most likely but won't be fully operational until ~2022) Eth2, or (less likely but still in with a shout) Algorand, Tezos, etc.
Tragically, the process is treated entirely as a box ticking exercise. Incumbent AML systems are old and ineffective, and scores of investigators submit thousands of SARs (suspicious activity reports) to central policing authorities that 99.9% of the time are ignored until they help an ongoing case.
The process is neglected partly because it doesn’t generate money, it prevents fines, which are tricky to predict and a less obvious priority for upper management.
Launderers of any significant amount of money are savvy to the pitfalls of current systems. Best in class solutions can capture some money laundering schemes via watchlist screening and “suspicious looking”transactional patterns - but the limit is the data the company owns. The main issue is that money is spread across multiple institutions in multiple jurisdictions.
As systems to tackle money laundering become more effective, so too do the launderers.
Baader-Meinhof effect in action.
https://en.wikipedia.org/wiki/Suez_Canal
I wonder what makes something significant enough to be added to this section. A quick scan of the page shows some interesting tidbits that aren't present in the opening (to me, more noteworthy - so far - than the ongoing blockage):
> The canal had an immediate and dramatic effect on world trade. Combined with the American transcontinental railroad completed six months earlier, it allowed the world to be circled in record time.
> In 1973, during the Yom Kippur War, the canal was the scene of a major crossing by the Egyptian army into Israeli-occupied Sinai and a counter-crossing by the Israeli army to Egypt. Much wreckage from this conflict remains visible along the canal's edges.
“A show out of ideas teams up with a show out of episodes”.
Pure gold. Even if the newer Simpsons episodes are (imho) grade-A garbage, it’s strangely comforting that the writers are self-aware and self-deprecating enough to come up and stick with this.
This is a deeply depressing take if the conclusion is to scrap GDPR. Is this true for 'data' in the general sense, or actually only true in the murky cases where there's an opportunity to use and abuse our personal data.
In my book, that implies that GDPR is working exactly as we hoped it would.
Help me understand, are you suggesting these aren't the case, or that they aren't legitimate concerns?
AFAIK the practice hasn't been officially proven, but there's overwhelming amounts of anecdata pointing to this being real and endemic in the industry.
Tackling man-made climate change requires many solutions working in tandem, forest restoration is just one of them.
TF-IDF is a useful option as part of a high precision pipeline _post_ blocking.
A two step pipeline is typical and necessary because the high precision pipeline, while more accurate than the blocking algorithm, suffers from being slow.
No fine-tuning using the dataset, but here's the result of typing in a dream prompt into Talk-to-Transformer:
[PROMPT - a dream from DreamBank] >>> I was putting together a plastic bag full of buttons and sewing paraphernalia. It was time to break out of a Hong Kong prison and I was on the fourth tier cell block. I had to wait till the window washers were busy and distract them by throwing ping pong balls so fire hoses filled with cyanide could be squirted on passers-by. I threw a rock through [...]
[RESULT] >>> [...] a glass door. I was careful not to pull my stitches. I threw another rock out the window. We needed a diversion. I needed to take care of myself. The next thing I knew, I was in a helicopter about to take off. By this point my emotions were in flux, like people around a train wreck. It was hard to know what to do with them. I wanted to be strong but didn't have the will. I wanted to be a martyr. I wanted to be.