Aleks Jakulin Profile
Aleks Jakulin

@aleksj

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Raising global IQ with data excellence

Joined March 2008
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@aleksj
Aleks Jakulin
47 minutes
@multikultivator @natannikolic @sledilnik Happy to check out superior sources!
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@aleksj
Aleks Jakulin
15 hours
This was Surety. Its founders wrote three of the 8 total papers cited by the original Bitcoin whitepaper. @StuartHaber and @ScottStornetta
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@aleksj
Aleks Jakulin
19 hours
@multikultivator @natannikolic @sledilnik This is the best insight into the methodology I've been able to find. Sharing isn't endorsement. Let's have constructive dialogue
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@aleksj
Aleks Jakulin
20 hours
@multikultivator @natannikolic @sledilnik It seems that @multikultivator assumes that I'm endorsing the policy decisions (this is above my pay grade), when I'm merely commenting on the matters of methodology.
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@aleksj
Aleks Jakulin
1 day
@arbion_w @clement_heyd @HomeDAO_live Very cool. We need this not just for COVID tests, but for scientific research data in general. Faster feedback loops and more solid data => raising global IQ.
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@aleksj
Aleks Jakulin
2 days
This reminds me of how we, a group of volunteers without any executive authority created @sledilnik in 2020, becoming a #1 search term on Google in the whole year in the whole country. After the emergency was gone, the state bureaucracies successfully buried that work.
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@aleksj
Aleks Jakulin
2 days
@random_walker We need databases not skeumorphic ones of papers but of the state of knowledge. AI tools need to draw on that to do their work as well, and other than Wikipedia there's little work in this direction.
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@aleksj
Aleks Jakulin
5 days
@JLydiaHenshaw Maybe we need to augment humanity to be able to compete with the original AI?
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@aleksj
Aleks Jakulin
8 days
How content published online is increasingly optimized for robots and not for people thanks to Google.
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@aleksj
Aleks Jakulin
8 days
How to think about trade deficits and the global economy - some great ideas here:
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@aleksj
Aleks Jakulin
11 days
@luckytran Or are those responsible for this overinterpretation of orders at CDC just putting political partisanship above the public health concern about Long COVID?
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@aleksj
Aleks Jakulin
14 days
@palladiummag @benlandautaylor @DrTechlash @perrymetzger @psychosort Also see for more data & detail in supports of the Palladium article.
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@aleksj
Aleks Jakulin
15 days
A few days ago I shared the low-level analysis of DeepSeek by @kmett, and now @psychosort has posted an excellent high-level review:
@psychosort
Brian Chau
15 days
Answering Everyone's Questions About DeepSeek 🧵 DeepSeek is a top Chinese AI company. It recently released its R1 model, a competitor to OpenAI’s o1 model capable of answering advanced scientific questions. In a week, DeepSeek shattered media narratives around AI, China, and open source. It went from a niche technical release on inauguration day to a national press cover story. Whenever conventional narratives are challenged, both hype and cope distort the truth. Here’s what we know about DeepSeek and what it means for sacred narratives. Introduction DeepSeek R1 is a “reasoning” model. What does that mean? It means that it modifies a base model, DeepSeek V3, to answer more difficult questions using a sequence of outputs called “Chain of Thought”. Many of DeepSeek’s most notable optimizations, around algorithm structure, memory management, and data type, occurred with the base model V3, released in December. V3 was competitive to Western base models, but R1 put DeepSeek into an exclusive club with OpenAI and Google, passing Meta, xAI, and Anthropic. OpenAI released the first “reasoning” model, o1, in September. DeepSeek is the third company to release this type of model, after OpenAI and Google. On many metrics, it surpasses Google’s “flash reasoning”.
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