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Kaspa nodes delete most of the chain's history by design Bitcoin nodes store and replay every block back to 2009. #Kaspa takes the opposite approach: nodes keep only recent blocks and discard everything older than a cutoff known as the pruning point. Since the Crescendo upgrade took block production...

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Kasper the Ghost of Kaspa

26,992 Aufrufe • vor 1 Jahr

a contractor in Shenzhen priced a ¥12,470,900 hospital contract, about $1.7m, in one afternoon and beat firms carrying forty people he explained how he did it: the bid consultancy he used to pay took three days and ¥46,000 for the same envelope. he did this one alone, off one screen, at 11.4% margin, uploaded before the 17:00 cutoff 214 pages of tender documents read, 68 binding clauses pulled out, 9,485 building parts loaded, 14 places found where a duct and a beam sit in the same cubic metre, deepest one 38mm, all of them fixed, 3,318 lines of quantities priced and the package encrypted and uploaded before the 17:00 cutoff this is Graph Engineering: the job gets cut into small nodes, one narrow task each, wired so that one node's output is the next node's input, and any node is allowed to stop the whole run. it turns a model that answers you into a machine that finishes the job: - give every node one job and one output. a node doing two things fails at both and you cannot tell which one broke - put the cheapest rejection first. his qualification node reads clause 7.4, foreign-owned firms barred, and ends the run four seconds in, before anything expensive touches the model - what moves between nodes is a file. the model travels as a model, the quantities as a table, the price as a number - build exactly one loop: the checker finds 14 collisions, the fixer drops the duct 550mm, the checker runs again, and nothing moves on until the count is zero - cap that loop, or a graph will grind on three impossible clashes until the deadline passes - keep one node whose only job is to say no, and give it authority over everything above it - log each node's output on its own, because when the price comes out wrong you need to know which node believed the wrong thing - run the expensive nodes last, always the catch is that a graph is an extremely confident machine: point it at an outdated rate book and it prices an entire hospital off it without a single node noticing, because no node is asked to doubt the input, only to process it so the nodes that earn their keep are the ones that reject, and almost nobody builds those first bookmark this, the full build with all nine nodes and what each one hands to the next is written out in the article ↓
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a contractor in Shenzhen priced a ¥12,470,900 hospital contract, about $1.7m, in one afternoon and beat firms carrying forty people he explained how he did it: the bid consultancy he used to pay took three days and ¥46,000 for the same envelope. he did this one alone, off one screen, at 11.4% margin, uploaded before the 17:00 cutoff 214 pages of tender documents read, 68 binding clauses pulled out, 9,485 building parts loaded, 14 places found where a duct and a beam sit in the same cubic metre, deepest one 38mm, all of them fixed, 3,318 lines of quantities priced and the package encrypted and uploaded before the 17:00 cutoff this is Graph Engineering: the job gets cut into small nodes, one narrow task each, wired so that one node's output is the next node's input, and any node is allowed to stop the whole run. it turns a model that answers you into a machine that finishes the job: - give every node one job and one output. a node doing two things fails at both and you cannot tell which one broke - put the cheapest rejection first. his qualification node reads clause 7.4, foreign-owned firms barred, and ends the run four seconds in, before anything expensive touches the model - what moves between nodes is a file. the model travels as a model, the quantities as a table, the price as a number - build exactly one loop: the checker finds 14 collisions, the fixer drops the duct 550mm, the checker runs again, and nothing moves on until the count is zero - cap that loop, or a graph will grind on three impossible clashes until the deadline passes - keep one node whose only job is to say no, and give it authority over everything above it - log each node's output on its own, because when the price comes out wrong you need to know which node believed the wrong thing - run the expensive nodes last, always the catch is that a graph is an extremely confident machine: point it at an outdated rate book and it prices an entire hospital off it without a single node noticing, because no node is asked to doubt the input, only to process it so the nodes that earn their keep are the ones that reject, and almost nobody builds those first bookmark this, the full build with all nine nodes and what each one hands to the next is written out in the article ↓

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Here's a quick overview of what we can or could expect from #Kaspa in 2025. - At least 10 blocks per second with a PoW BlockDAG - Listings on major exchanges such as #Binance, #OKX or #Coinbase - A stablecoin on the $KAS BlockDAG - DAGKnight as a new consensus mechanism - Possibly smart contracts - And probably more partnerships in the energy sector and other interesting areas All in all, very bullish and, in my opinion, the most exciting year for Kaspa so far. Especially because a lot of people are mainly looking at the price, I am sure that these people will also be very happy soon. What have I forgotten and what do you think will have the biggest impact on KAS?
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Here's a quick overview of what we can or could expect from #Kaspa in 2025. - At least 10 blocks per second with a PoW BlockDAG - Listings on major exchanges such as #Binance, #OKX or #Coinbase - A stablecoin on the $KAS BlockDAG - DAGKnight as a new consensus mechanism - Possibly smart contracts - And probably more partnerships in the energy sector and other interesting areas All in all, very bullish and, in my opinion, the most exciting year for Kaspa so far. Especially because a lot of people are mainly looking at the price, I am sure that these people will also be very happy soon. What have I forgotten and what do you think will have the biggest impact on KAS?

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Many people wonder why #Kaspa is not already much bigger and better known if it is so revolutionary. From my point of view, this is quite clear and there are several reasons: - First, $KAS is a project without a big company in the background that uses its money and connections to promote Kaspa everywhere with millions of dollars and pay for big Cex listings. - Also, innovations don't always have it easy in the beginning as they first have to prove themselves and convince critics/doubters. - In addition, developments in all projects take a long time and their effects only become apparent at a late stage. - Last but not least, the reorientation of big players sometimes takes quite a long time. I am fully convinced that Kaspa's path will be incredible and that the whole world will benefit from this ingenious technology, directly or indirectly.
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Many people wonder why #Kaspa is not already much bigger and better known if it is so revolutionary. From my point of view, this is quite clear and there are several reasons: - First, $KAS is a project without a big company in the background that uses its money and connections to promote Kaspa everywhere with millions of dollars and pay for big Cex listings. - Also, innovations don't always have it easy in the beginning as they first have to prove themselves and convince critics/doubters. - In addition, developments in all projects take a long time and their effects only become apparent at a late stage. - Last but not least, the reorientation of big players sometimes takes quite a long time. I am fully convinced that Kaspa's path will be incredible and that the whole world will benefit from this ingenious technology, directly or indirectly.

KASPA Enthusiast 𐤊

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LeBron's camp called New York. The Knicks passed. Good. That roster just put up a +283 point differential in the playoffs. Best in NBA history. Better than the 2017 Warriors. Better than every super team LeBron ever put together So they brought back basically the whole thing. Championships don't come from stacking names on top of names. This one came from five guys who already knew where each other was going to be before they got there.
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LeBron's camp called New York. The Knicks passed. Good. That roster just put up a +283 point differential in the playoffs. Best in NBA history. Better than the 2017 Warriors. Better than every super team LeBron ever put together So they brought back basically the whole thing. Championships don't come from stacking names on top of names. This one came from five guys who already knew where each other was going to be before they got there.

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Transformer by hand ✍️ ~ 6 steps walkthrough below Open the hood of a transformer and the parts list is overwhelming: embeddings, positional encoding, attention weighting, self-attention, cross-attention, multi-head attention, layer norm, skip connections, softmax, linear, Nx, shifted right, query, key, value, masking. Which of those actually make the car run? Two of them. Attention weighting and the feed-forward network. Everything else is an enhancement to make it run faster and longer, which is how we got from a car to a truck, and to the word "large" in large language model. So I drew and calculated those two parts entirely by hand. Goal: push five features through one transformer block, filling in every cell yourself. 1. Given Five positions of input features, arriving from the previous block. 2. Attention matrix Let us feed all five features to a query-key module (QK) and read back an attention weight matrix, A. The details of that module are a post of their own. 3. Attention weighting We multiply the input features by A to get the attention weighted features, Z. Still five positions. The effect is to combine features *across positions*, horizontally: X1 becomes X1 + X2, X2 becomes X2 + X3, and so on. 4. First layer Let us feed all five weighted features into the first layer of the FFN. Multiply by the weights and biases. This time the combining happens *across feature dimensions*, vertically, and each feature grows from 3 numbers to 4. Note that every position goes through the same weight matrix. That is what "position-wise" means. 5. ReLU We cross out the negatives. They become zeros. 6. Second layer Let us bring it back down: 4 dimensions to 3. The output feeds the next block, which has a completely separate set of parameters, and the whole thing runs again. You have just calculated a transformer block by hand. ✍️ The takeaway: the two parts are doing two different jobs, and neither one alone is enough. Attention mixes *across positions*, so a feature can see its neighbours. The FFN mixes *across feature dimensions*, so each position can think about itself. Horizontal, then vertical. Then that pattern repeats N times, each block with its own separate set of weights. That is the Nx from the list up top, and that is what makes the transformer run. 💾 Save this post! #AIbyHand #Transformers #DeepLearning
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Transformer by hand ✍️ ~ 6 steps walkthrough below Open the hood of a transformer and the parts list is overwhelming: embeddings, positional encoding, attention weighting, self-attention, cross-attention, multi-head attention, layer norm, skip connections, softmax, linear, Nx, shifted right, query, key, value, masking. Which of those actually make the car run? Two of them. Attention weighting and the feed-forward network. Everything else is an enhancement to make it run faster and longer, which is how we got from a car to a truck, and to the word "large" in large language model. So I drew and calculated those two parts entirely by hand. Goal: push five features through one transformer block, filling in every cell yourself. 1. Given Five positions of input features, arriving from the previous block. 2. Attention matrix Let us feed all five features to a query-key module (QK) and read back an attention weight matrix, A. The details of that module are a post of their own. 3. Attention weighting We multiply the input features by A to get the attention weighted features, Z. Still five positions. The effect is to combine features *across positions*, horizontally: X1 becomes X1 + X2, X2 becomes X2 + X3, and so on. 4. First layer Let us feed all five weighted features into the first layer of the FFN. Multiply by the weights and biases. This time the combining happens *across feature dimensions*, vertically, and each feature grows from 3 numbers to 4. Note that every position goes through the same weight matrix. That is what "position-wise" means. 5. ReLU We cross out the negatives. They become zeros. 6. Second layer Let us bring it back down: 4 dimensions to 3. The output feeds the next block, which has a completely separate set of parameters, and the whole thing runs again. You have just calculated a transformer block by hand. ✍️ The takeaway: the two parts are doing two different jobs, and neither one alone is enough. Attention mixes *across positions*, so a feature can see its neighbours. The FFN mixes *across feature dimensions*, so each position can think about itself. Horizontal, then vertical. Then that pattern repeats N times, each block with its own separate set of weights. That is the Nx from the list up top, and that is what makes the transformer run. 💾 Save this post! #AIbyHand #Transformers #DeepLearning

Tom Yeh

26,089 Aufrufe • vor 1 Monat

The Zimbabwean Senate has voted in favour of the controversial Constitution Amendment Bill (No. 3) by 75 votes to 4, with one abstention. The opposition CCC, which has 27 senators in the 80-member chamber, voted alongside ZANUPF. The bill seeks to extend the presidential term from five years to seven years, provide for the future election of a president by Parliament rather than through a direct popular vote, and make a number of other far reaching constitutional changes. The vote means that the bill now awaits the signature of Zimbabwean President Emmerson Mnangagwa before becoming law. Its passage marks one of the most significant constitutional changes in Zimbabwe’s recent history and is likely to remain the subject of intense political, legal and constitutional debate. The bill also seeks to allow Mnangagwa to influence the selection of his successor and potentially block his deputy, General Constantino Chiwenga, from succeeding him. If and when Mnangagwa signs it into law and there is no significant resistance from within ZANUPF, the military or broader society, it will signal a major setback to Chiwenga’s presidential ambitions, short of an intervention that changes the political landscape. More importantly, it will represent a further consolidation of ZANUPF’s hold on power and diminish the prospects of Zimbabwe having a president from outside the ruling party in the foreseeable future. The self evident story is how Mnangagwa has been assisted by influential business interests, including wealthy individuals aligned with ZANUPF, who may have more to lose from a Chiwenga presidency than from the continuation of the current political order. The only developments that could realistically halt this process would be a military intervention and a sustained national uprising. At present, however, all of these possibilities appear distant from political reality.
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The Zimbabwean Senate has voted in favour of the controversial Constitution Amendment Bill (No. 3) by 75 votes to 4, with one abstention. The opposition CCC, which has 27 senators in the 80-member chamber, voted alongside ZANUPF. The bill seeks to extend the presidential term from five years to seven years, provide for the future election of a president by Parliament rather than through a direct popular vote, and make a number of other far reaching constitutional changes. The vote means that the bill now awaits the signature of Zimbabwean President Emmerson Mnangagwa before becoming law. Its passage marks one of the most significant constitutional changes in Zimbabwe’s recent history and is likely to remain the subject of intense political, legal and constitutional debate. The bill also seeks to allow Mnangagwa to influence the selection of his successor and potentially block his deputy, General Constantino Chiwenga, from succeeding him. If and when Mnangagwa signs it into law and there is no significant resistance from within ZANUPF, the military or broader society, it will signal a major setback to Chiwenga’s presidential ambitions, short of an intervention that changes the political landscape. More importantly, it will represent a further consolidation of ZANUPF’s hold on power and diminish the prospects of Zimbabwe having a president from outside the ruling party in the foreseeable future. The self evident story is how Mnangagwa has been assisted by influential business interests, including wealthy individuals aligned with ZANUPF, who may have more to lose from a Chiwenga presidency than from the continuation of the current political order. The only developments that could realistically halt this process would be a military intervention and a sustained national uprising. At present, however, all of these possibilities appear distant from political reality.

Hopewell Chin’ono

99,129 Aufrufe • vor 2 Monaten

According to information from our supporters as of 18:30 we have the following: In the morning, two columns from the Wagner PMC were formed. The first, under the leadership of Prigozhin, went in and took full control of Rostov-on-Don. This was done in order to turn the attention of the media and security forces away from the main operation. The second column, under the command of Dmitry Utkin, advanced towards Moscow and is now less than 100 km from the capital, in the suburbs of Moscow. In order to stop the columns, the Russian Armed Forces used aviation, but 1 plane and 4 helicopters were shot down by the PMCs. According to our information, a huge number of Wagners are already in Moscow, having got there under the guise of civilians. We continue to monitor the situation.
0:16

According to information from our supporters as of 18:30 we have the following: In the morning, two columns from the Wagner PMC were formed. The first, under the leadership of Prigozhin, went in and took full control of Rostov-on-Don. This was done in order to turn the attention of the media and security forces away from the main operation. The second column, under the command of Dmitry Utkin, advanced towards Moscow and is now less than 100 km from the capital, in the suburbs of Moscow. In order to stop the columns, the Russian Armed Forces used aviation, but 1 plane and 4 helicopters were shot down by the PMCs. According to our information, a huge number of Wagners are already in Moscow, having got there under the guise of civilians. We continue to monitor the situation.

Freedom of Russia Legion | Легион «Свобода России»

689,543 Aufrufe • vor 3 Jahren

From sea to shining sea. From Alaska to Hawaii. From small towns to big cities. Americans from every corner of our nation gathered on the National Mall. Different backgrounds. One flag. One history. One future. What unites us is far greater than what could ever divide us: a love of country, gratitude for the generations who built and defended this nation, and an enduring belief that America’s best days are still ahead. As we prepare to celebrate 250 years of freedom, there is no more fitting place to begin than our nation’s capital.
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From sea to shining sea. From Alaska to Hawaii. From small towns to big cities. Americans from every corner of our nation gathered on the National Mall. Different backgrounds. One flag. One history. One future. What unites us is far greater than what could ever divide us: a love of country, gratitude for the generations who built and defended this nation, and an enduring belief that America’s best days are still ahead. As we prepare to celebrate 250 years of freedom, there is no more fitting place to begin than our nation’s capital.

Secretary Brooke Rollins

11,075 Aufrufe • vor 2 Monaten

2020 COLLECTION: 5 YEARS LATER - DAY3 OOF. at this point it was pretty clear Duncan and Griffin at NiftyGateway that one person was winning every single auction. There were still 10 more to go on this Sunday... At the very last second of the final auction, a extremely last second bid cam in taking the total from about $350k to $777k, destroying the record for the most expensive NFT ever bought. you can see the disbelief in the video as we were sure the auction was over. but our boi tim.eth ⁙ illestrater came through at the last second clinching single W against the insane performance that Metakovan had built over the last two days winning every other auction. i was fully a pile of mush at this point, trying to wrap my head around how I had just sold $3.5M worth of this 'thing' that almost nobody I knew understood and I had only learned of less than 2 months earlier. but the real people who made this event possible are Metakovan and tim.eth ⁙ illestrater and i really don't think they get enough credit for the insane belief and conviction this took. their actions over this weekend literally changed the course of art history. little did i know that as fucking INSANE as this was... it was actually just the beginning. 😅
0:44

2020 COLLECTION: 5 YEARS LATER - DAY3 OOF. at this point it was pretty clear Duncan and Griffin at NiftyGateway that one person was winning every single auction. There were still 10 more to go on this Sunday... At the very last second of the final auction, a extremely last second bid cam in taking the total from about $350k to $777k, destroying the record for the most expensive NFT ever bought. you can see the disbelief in the video as we were sure the auction was over. but our boi tim.eth ⁙ illestrater came through at the last second clinching single W against the insane performance that Metakovan had built over the last two days winning every other auction. i was fully a pile of mush at this point, trying to wrap my head around how I had just sold $3.5M worth of this 'thing' that almost nobody I knew understood and I had only learned of less than 2 months earlier. but the real people who made this event possible are Metakovan and tim.eth ⁙ illestrater and i really don't think they get enough credit for the insane belief and conviction this took. their actions over this weekend literally changed the course of art history. little did i know that as fucking INSANE as this was... it was actually just the beginning. 😅

beeple

21,246 Aufrufe • vor 8 Monaten

Everlyn isn’t just a video model. It’s a system you can trust. 🌀 At its core is the Lyn Protocol, the onchain layer that gives AI video permanence, provenance, and ownership. Here’s what it means: 🔹Decentralized inference: Videos are not generated by a single company’s servers. They run across a distributed network of nodes. 🔹Agent ownership: When you summon your agent, it is minted onchain. It belongs to you, not to a platform. 🔹Video provenance: Every render carries a timestamp and fingerprint written to the ledger. No one can fake or steal it. The Lyn Protocol transforms AI video from content into verifiable digital memory.
0:12

Everlyn isn’t just a video model. It’s a system you can trust. 🌀 At its core is the Lyn Protocol, the onchain layer that gives AI video permanence, provenance, and ownership. Here’s what it means: 🔹Decentralized inference: Videos are not generated by a single company’s servers. They run across a distributed network of nodes. 🔹Agent ownership: When you summon your agent, it is minted onchain. It belongs to you, not to a platform. 🔹Video provenance: Every render carries a timestamp and fingerprint written to the ledger. No one can fake or steal it. The Lyn Protocol transforms AI video from content into verifiable digital memory.

Everlyn

93,078 Aufrufe • vor 1 Jahr

32 coins. $2.5 million. 0.0038% of the stack. That is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.
0:10

32 coins. $2.5 million. 0.0038% of the stack. That is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.

Shanaka Anslem Perera ⚡

165,572 Aufrufe • vor 2 Monaten

𝗧𝗵𝗲 𝗣𝗿𝗲-𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹 𝗳𝗼𝗿 𝗣𝗵𝗼𝗲𝗻𝗶𝘅𝗡𝗼𝗱𝗲 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 – Phoenix community, ecosystem partners, and node operators now can pre-register their allocation in the all-new lightweight AI compute machine that will power a variety of AI applications running on Phoenix SkyNet. Access the portal here (SkyNet account required, only available on desktop): To create an account on SkyNet: Pre-Registration 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗼𝗽𝗲𝗻 𝘂𝗻𝘁𝗶𝗹 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆 𝟯/𝟭𝟰/𝟮𝟬𝟮𝟰, and will be on a first come basis. When preorders are available, supply quota will be matched with the sequence of registrations to determine priority and availability. Once supply is depleted for the first wave (first supply batch), the remainder applicants will be placed on waitlist or be in queue for the next wave. For the Pre-Registration Phase, a maximum allocation is 10 nodes is allowed. Information submitted via this portal will be shared with our strategic hardware partner (an arm of JDI Group), and will also be used for supply planning purposes. Currently, according to JDI Group, the initial cost per node will be set at $999. An estimated 2000 nodes will be available in the first wave.
0:12

𝗧𝗵𝗲 𝗣𝗿𝗲-𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹 𝗳𝗼𝗿 𝗣𝗵𝗼𝗲𝗻𝗶𝘅𝗡𝗼𝗱𝗲 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 – Phoenix community, ecosystem partners, and node operators now can pre-register their allocation in the all-new lightweight AI compute machine that will power a variety of AI applications running on Phoenix SkyNet. Access the portal here (SkyNet account required, only available on desktop): To create an account on SkyNet: Pre-Registration 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗼𝗽𝗲𝗻 𝘂𝗻𝘁𝗶𝗹 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆 𝟯/𝟭𝟰/𝟮𝟬𝟮𝟰, and will be on a first come basis. When preorders are available, supply quota will be matched with the sequence of registrations to determine priority and availability. Once supply is depleted for the first wave (first supply batch), the remainder applicants will be placed on waitlist or be in queue for the next wave. For the Pre-Registration Phase, a maximum allocation is 10 nodes is allowed. Information submitted via this portal will be shared with our strategic hardware partner (an arm of JDI Group), and will also be used for supply planning purposes. Currently, according to JDI Group, the initial cost per node will be set at $999. An estimated 2000 nodes will be available in the first wave.

Phoenix AI Labs

87,554 Aufrufe • vor 2 Jahren

Archaeologists in Livorno, Italy, are putting together the pieces of a great mystery that began with a stunning find. While hiking in a cleared area of a Tuscan forest northeast of Livorno, a member of the Livorno Paleontological Archaeological Group spotted a few glimmering coins in the dirt in November 2021. Upon closer inspection and excavation, researchers determined that the find included 175 silver Roman denarii coins. Nearly all were in good condition, making this one of the few hoards of ancient coins found intact, according to the group. But the discovery prompted a number of questions: Whose treasure was it? Who were they hiding it from? And why didn’t they come back for it? The archaeological group, along with the archaeologist official for the provinces of Pisa and Livorno, Dr. Lorella Alderighi, has spent more than a year measuring, weighing and documenting the coins, according to a news release posted on its Facebook page. Now, the researchers think they have some answers. “This treasure is about a person’s life, the savings of a soldier’s life and his hopes for building his farm,” Alderighi said via email. “However, it also tells a sad story: (T)he owner of the coins died before he could make his dreams come true using his savings. The coins tell his story.” The hoard now displayed at the Museum of Natural History of the Mediterranean in Livorno. It’s impossible to know exactly who buried the coins, Alderighi said, but the coins would most likely have been the treasure of a former soldier who served during Rome’s Social War from 91-88 BC and during civil war between Sulla and Marians from 83-82 BC. The owner of the hoard buried it in a terra-cotta pot, which served as a sort of piggy bank. The earliest coins in the stash dated to 157 or 156 BC, and the latest up to 83 or 82 BC, according to archaeological group’s release. During that time, 175 denarii would have been a soldier’s salary for about a year and a half, Alderighi said. Now, the treasure has a value of around 20,000 to 25,000 euros, she added. The coins were preserved well in their buried state. Only two are fractured, but they can be reassembled, the release noted. Studying them could provide scholars with more background on the history of coins and how people used them and could even lead to changes with fundamental typology, created in 1974 and still used today to identify and date Roman coins, she added. “It is one of the very few hoards of ancient coins found intact and provides a lot of numismatic, historical and social information,” Alderighi said. 🎥© rometravelers (IG) © CNN #archaeohistories
0:19

Archaeologists in Livorno, Italy, are putting together the pieces of a great mystery that began with a stunning find. While hiking in a cleared area of a Tuscan forest northeast of Livorno, a member of the Livorno Paleontological Archaeological Group spotted a few glimmering coins in the dirt in November 2021. Upon closer inspection and excavation, researchers determined that the find included 175 silver Roman denarii coins. Nearly all were in good condition, making this one of the few hoards of ancient coins found intact, according to the group. But the discovery prompted a number of questions: Whose treasure was it? Who were they hiding it from? And why didn’t they come back for it? The archaeological group, along with the archaeologist official for the provinces of Pisa and Livorno, Dr. Lorella Alderighi, has spent more than a year measuring, weighing and documenting the coins, according to a news release posted on its Facebook page. Now, the researchers think they have some answers. “This treasure is about a person’s life, the savings of a soldier’s life and his hopes for building his farm,” Alderighi said via email. “However, it also tells a sad story: (T)he owner of the coins died before he could make his dreams come true using his savings. The coins tell his story.” The hoard now displayed at the Museum of Natural History of the Mediterranean in Livorno. It’s impossible to know exactly who buried the coins, Alderighi said, but the coins would most likely have been the treasure of a former soldier who served during Rome’s Social War from 91-88 BC and during civil war between Sulla and Marians from 83-82 BC. The owner of the hoard buried it in a terra-cotta pot, which served as a sort of piggy bank. The earliest coins in the stash dated to 157 or 156 BC, and the latest up to 83 or 82 BC, according to archaeological group’s release. During that time, 175 denarii would have been a soldier’s salary for about a year and a half, Alderighi said. Now, the treasure has a value of around 20,000 to 25,000 euros, she added. The coins were preserved well in their buried state. Only two are fractured, but they can be reassembled, the release noted. Studying them could provide scholars with more background on the history of coins and how people used them and could even lead to changes with fundamental typology, created in 1974 and still used today to identify and date Roman coins, she added. “It is one of the very few hoards of ancient coins found intact and provides a lot of numismatic, historical and social information,” Alderighi said. 🎥© rometravelers (IG) © CNN #archaeohistories

Archaeo - Histories

68,911 Aufrufe • vor 2 Jahren

Rivian has announced in a new blog post that it is still aiming to release point-to-point assisted driving later this year, with widespread rollout in 2027. "Enter an address and supervise while your vehicle follows the route from start to finish, handling city streets, highway interchanges and everything in between. A limited rollout begins later this year, with a widespread customer rollout targeted for 2027. The path from Universal Hands-Free to Point-to-Point is shorter than it looks from the outside, because so much of the work is already done. Every mile our fleet drives makes our Large Driving Model smarter for the next one. That's the engine driving R2 autonomy: not just a sensor suite, but a constantly learning fleet powering a vehicle that keeps evolving right in your driveway."
0:10

Rivian has announced in a new blog post that it is still aiming to release point-to-point assisted driving later this year, with widespread rollout in 2027. "Enter an address and supervise while your vehicle follows the route from start to finish, handling city streets, highway interchanges and everything in between. A limited rollout begins later this year, with a widespread customer rollout targeted for 2027. The path from Universal Hands-Free to Point-to-Point is shorter than it looks from the outside, because so much of the work is already done. Every mile our fleet drives makes our Large Driving Model smarter for the next one. That's the engine driving R2 autonomy: not just a sensor suite, but a constantly learning fleet powering a vehicle that keeps evolving right in your driveway."

Sawyer Merritt

176,392 Aufrufe • vor 17 Tagen

Stateless History Node is almost like a regular Ethereum node, but it doesn't store state and it doesn't have EVM execution. It's used only for syncing events and thus - is faster and gives you FREE INDEXING. You don't have to pay 6 figures for RPC anymore! Just spin up a Stateless History Node, plug rindexer or Ponder there, and enjoy free (AND FAST!!) indexing! This node is syncing >1000 blocks per second at my local pc (less than 6hrs for the whole Ethereum), and it should use less than 200GB - which means you can host it on a MacMini, Hetzner or whatever. You can futhermore filter that by using block ranges or bloom filters, etc - I haven't developed this yet. What you see is a proof of concept. It works via native devp2p 'eth' protocol, but with EIP4444 and The Prune we would have to also support era1 archives and Portal Network. But so far it works - there are plenty of peers serving historical receipts, and they serve them FAST! If you run Stateless History Node you can also serve the blocks and receipts - so that could help to preserve archival data too. For now there is no data validation yet (and even no data storage - that's a very early PoC), but we can verify validity of chain by simultaneously running a lightweight CL node (or not lightweight if you're extremely paranoid). And then support verifying the hashes of receipts and blocks with their parents, maintaining full integrity and zero trust. It's also written in rust, btw. So, I guess, at least for Ethereum Mainnet the era of RPC's pumping moneybags is over - there's finally a local, trustless and free indexing alternative available. Too sad this won't work for Optimism / Base , cause despite introducing P2P after Bedrock - they haven't enabled receipts transfer in the protocol (or at least I couldn't find one). Arbitrum is even sadder - I don't believe there is a P2P layer at all - you just have to run your own node, hold state and execute blocks to get events. There is hope - Paradigm recently released Ress - stateless execution, but it requires nodes to support Witness preparation & exchange - but this could work for L2s - cause the main blocker for local RPCs rn is huge state (VPS with TB storage cost a lot), and the second blocker is EVM forks makes it hard to hold a node - it needs to be maintained, upgraded, etc. Ress at least solves the state part. But anyways, I will try to continue working on this and release some MVP version with RPC endpoint and data storage soon - follow the updates!
0:16

Stateless History Node is almost like a regular Ethereum node, but it doesn't store state and it doesn't have EVM execution. It's used only for syncing events and thus - is faster and gives you FREE INDEXING. You don't have to pay 6 figures for RPC anymore! Just spin up a Stateless History Node, plug rindexer or Ponder there, and enjoy free (AND FAST!!) indexing! This node is syncing >1000 blocks per second at my local pc (less than 6hrs for the whole Ethereum), and it should use less than 200GB - which means you can host it on a MacMini, Hetzner or whatever. You can futhermore filter that by using block ranges or bloom filters, etc - I haven't developed this yet. What you see is a proof of concept. It works via native devp2p 'eth' protocol, but with EIP4444 and The Prune we would have to also support era1 archives and Portal Network. But so far it works - there are plenty of peers serving historical receipts, and they serve them FAST! If you run Stateless History Node you can also serve the blocks and receipts - so that could help to preserve archival data too. For now there is no data validation yet (and even no data storage - that's a very early PoC), but we can verify validity of chain by simultaneously running a lightweight CL node (or not lightweight if you're extremely paranoid). And then support verifying the hashes of receipts and blocks with their parents, maintaining full integrity and zero trust. It's also written in rust, btw. So, I guess, at least for Ethereum Mainnet the era of RPC's pumping moneybags is over - there's finally a local, trustless and free indexing alternative available. Too sad this won't work for Optimism / Base , cause despite introducing P2P after Bedrock - they haven't enabled receipts transfer in the protocol (or at least I couldn't find one). Arbitrum is even sadder - I don't believe there is a P2P layer at all - you just have to run your own node, hold state and execute blocks to get events. There is hope - Paradigm recently released Ress - stateless execution, but it requires nodes to support Witness preparation & exchange - but this could work for L2s - cause the main blocker for local RPCs rn is huge state (VPS with TB storage cost a lot), and the second blocker is EVM forks makes it hard to hold a node - it needs to be maintained, upgraded, etc. Ress at least solves the state part. But anyways, I will try to continue working on this and release some MVP version with RPC endpoint and data storage soon - follow the updates!

Convergence Boy

29,823 Aufrufe • vor 7 Monaten