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🤝A third goal for Corofin.GAA just before the break. They lead by seven-points at half-time. Milltown GAA Galway 0-07 : 3-05 Corofin.GAA Galway GAA Official | #BonSecours | #FrankFox 📎Stream Pass👇

94,177 просмотров • 2 лет назад •via X (Twitter)

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Another great example of everyday Chinese efficiency we just experienced. We got the RV stuck (again, see quoted post below 👇) but this time it's completely not our fault: at the end of a one-way road a height restriction barrier had collapsed. It was meant to block trucks over 3m in height but, due to it collapsing, it was standing at maybe 2m50 and our RV is 2m80 so 🤷‍♂️ And since it was a one way road we couldn't turn around and drive against traffic: forbidden and too dangerous. So we called the police. They arrived in exactly 3 minutes which they told us is actually their official KPI for time to intervention. I repeat: the official KPI for the police here in China is that when someone calls, they need to be on-site within a maximum of 3 minutes 🤯 They did two things: first, they immediately called the local village chief, which in the Chinese system is the person accountable to get the height restriction barrier fixed. The guy arrived in less than 2 minutes! Second, they escorted us to drive back on our one-way road, so we could pass by the bike lane on the side which was large enough for our RV and wasn't affected by the barrier (see 3rd video). To summarize: in the space of a mere 5 minutes after calling them, the police had arrived, the guy in charge of fixing the barrier was on-site, and we were safely escorted back on the road. Problem identified, accountability assigned, solution executed. Five minutes.

Arnaud Bertrand

127,339 просмотров • 15 дней назад

Batch Normalization by hand ✍️ ~ 7 steps walkthrough below Batch normalization is common practice for improving training and achieving faster convergence. It sounds simple. But it is often misunderstood. 🤔 Does batch normalization involve trainable parameters, tunable hyper-parameters, or both? 🤔 Is batch normalization applied to inputs, features, weights, biases, or outputs? 🤔 How is batch normalization different from layer normalization? So I drew and calculated one entirely by hand. Goal: normalize a mini-batch of 4 examples to mean 0 and variance 1, then let the network scale it back. = 1. Given = A mini-batch of 4 training examples, each with 3 features. = 2. Linear layer = Let us multiply by the weights and add the biases. Batch norm sits after this, which answers the second question: what gets normalized is features, not inputs, weights or biases. = 3. ReLU = We apply the activation, and -2 becomes 0. Negative values are suppressed before any statistic is taken. = 4. Batch statistics = Let us compute the sum, mean, variance and standard deviation, one row at a time. A row is a feature and the four columns are the four examples, so every number here measures one feature against the rest of the batch. That is the "batch" in batch normalization, and it is exactly what layer normalization does not do. The statistics are rounded to whole numbers, which is what keeps the rest of the page doable in pen. = 5. Shift to mean 0 = We subtract the mean, in green. The four values in each feature now average to zero. = 6. Scale to variance 1 = Let us divide by the standard deviation, in orange. Each feature now has variance one, whatever scale it arrived at. = 7. Scale and shift = We multiply by a linear transformation and pass the result on. The diagonal and the last column are trainable, so having just forced every feature to mean 0 and variance 1, we hand the network the means to undo it. The outputs: Mean of each feature = [2, 1, 2] Std dev of each feature = [1, 1, 2] To the next layer = [2, -2, 2, 0], [-3, 3, 6, -3], [2, 0, 1, 2] The answers: 🤔 Both. The scale and shift are trainable, the statistics are not. Epsilon and the momentum on the running statistics are the hyper-parameters, and one mini-batch by hand needs neither. 🤔 Features, after the linear layer, not inputs, weights or biases. 🤔 Batch norm measures across the batch, one feature at a time. Layer norm measures across the features, one example at a time. 💾 Save this post!

Tom Yeh

20,638 просмотров • 29 дней назад

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

🩵BlueBeba🩵

18,300 просмотров • 5 месяцев назад

Candace Owens claims that “Charlie [Kirk] became mesmerized by the Seven Mountain Mandate” Also stating: “[NAR] is a cult, and these people began to infiltrate Turning Point Faith.” Here’s the TRUTH: TPUSA Faith has promoted & platformed New Apostolic Reformation (NAR) theology & figures for years. I warned them about these false teachers/theology while working for them, which played a part in my firing in 2023. The Kingdom to the Capitol Tour led by NAR apologist Sean Feucht, even mentioned the Seven Mountain Mandate & was promoted on TPUSA Faith’s social media (see video below) TPUSA Faith has also promoted and platformed NAR false teachers, Lance Wallnau, Che’Ahn & others who unbiblically claim to be modern day apostles. The Seven Mountain Mandate originated from “visions” random people had (as discussed in Candace’s video) and used as extra-Biblical authority to take dominion, specifically in the United States (Very Joseph Smith of them…), essentially ushering in the Second Coming of Christ... The 7MM is a false teaching promoted by modern-day “apostles”, including Bethel’s Bill Johnson and Che' Ahn, who spoke at a TPUSA Faith Pastors Summit, even after I warned them about NAR... The Seven Mountain Mandate is an Americanized dominion theology that is more about political power and prosperity gospel than living out the Great Commission. It’s about taking dominion over making disciples. When I warned leaders at TPUSA Faith, regrettably never to Charlie directly, as I wanted to tell my immediate superiors first, who then could report to him that this was a dangerous, unbiblical direction, they spiritually manipulated the situation, calling me a “critical spirit” and claiming I had a “spirit of division”… Was Charlie “memorized” by the Seven Mountain Mandate, as Candace Owens claims? I don’t know. Was Charlie aware of NAR/The Seven Mountain Mandate and how figures like Paula White, Lance Wallnau, Che’Ahn, etc endorsed it? I’d guess yes. Did Lance Wallnau have a lot of influence at TPUSA Faith, due to his/his group’s enormous financial contributions, as Candace claims? 100% Here’s Where Candace is Wrong: What Candace misses, as she does 99% of the time when she talks about faith, is what NAR actually is, and why it, and the 7 Mountain Mandate, are unbiblical… Candace’s goal here is not what mine was when I warned TPUSA Faith about NAR/Seven Mountain Mandate. I wanted the Faith department to be biblically sound & consistent, avoid false teachers/theologies, and be a good steward of the opportunities/resources given by God to the org, by increasing biblical literacy, and encouraging pastors and Christians in America to stand firm on biblical values/doctrine as we navigate many cultural & political inflection points, in and out of the church. Candace’s goal is to bury TPUSA by any means necessary, tell half truths, lie about their involvement in Charlie’s assassination, & tarnish Charlie’s legacy... Her goal is NOT to call them to account for not holding to the biblical standard they claim to be rooted in.

Jon Root

65,079 просмотров • 9 месяцев назад

Unveiling the first [Redacted] ODZR Pass: Unlocks the gateway to exclusive perks and benefits for our Airdrop Campaign Phase 1. Coming Soon [April 2024] & more to be unveiled in time to come! 🔥🧵👇 READ ON! What is the ODZR Pass? The ODZR Pass is more than just a membership; it's a symbol of pioneering spirit, innovation, and genuine passion for the Bitcoin Ordinals space. Holding an ODZR Pass means you are at the forefront of our journey, contributing to and benefiting from our collective success. Why You'll Love the ODZR Pass: 🟧 Exclusive Perks and benefits for our Airdrop Campaign Phase 1 Coming Soon [April 2024] & more to be unveiled in time to come! 🟧 Limited Supply: Paying homage to the foundational 21 million Bitcoin supply, we will release a strictly limited series of 2100 ODZR Passes. Symbolizing both scarcity and significance within the Bitcoin Ordinals ecosystem. 🟧 Join a Curated Ordinals Community of Creators, Builders, Traders, and Collectors 🟧 Oh, did we mention all our ODZR Passes are CURSED? How to get a Whitelist Spot? 💾 Collaboration and partnerships are underway, check in with your relevant Ordinals community to join in exclusive giveaways. 💾 Our team will be running a series of mini-games and missions over the next few weeks on both twitter & discord! 👉 Follow us & 🔔 on Join our Discord: Don’t forget about Airdrop phase 0! Ordzaar airdrop Season 1 consists of a total of 3 phases. Phase 0 airdrop, fairly distributed, is all about rewarding resilience. Your rewards will be influenced by various parameters, with snapshot taken as of 6th March 00:00 GMT+8: - Number of inscriptions held in wallet - Fees spent on inscriptions held in wallet - Number of transactions - Number of inscriptions held before Jubilee block - Interactions with the Ordzaar platform Join us in marking this milestone and carving out your place in the Ordinals history of the largest fairdrop till date! Check and claim your allocation right now: For more Information: ▣ SEND ZAAR ▣

Ordzaar

240,803 просмотров • 2 лет назад

NASA ARTEMIS II MISSION UPDATE: DAY 7 The crew and the Orion spacecraft are approximately 57,157 km (35,518 mi) from the Moon. They are also about 380,631 km (236,512 mi) from Earth and are traveling at around 2,029 km/h (1,261 mph). The mission is currently 62.3% completed. Yesterday was a very big day for the mission as this culminated in the Lunar Flyby, which included the closest approach to the Moon at a distance of 4,067 km (6,545 mi), occurring at 11:02 UTC (MET+5/00:25). Following this, a record was set for the furthest distance humans had ever traveled from Earth, at a distance of 406,771 km (252,756 mi), which occurred at 23:02 UTC (MET+5/00:27). The crew also witnessed an Earthrise and solar eclipse during this time, before the lunar observation period concluded. Moving on to today's expected events, first up we have the crew wakeup, which is expected to occur at 15:35 UTC (MET+5/17:00). Following this, Orion will exit the lunar sphere of influence, which is expected to occur at 17:25 UTC (MET+5/18:50). Then, after that, will be the Crew Daily Planning Conference (PDC), which will occur at 18:05 UTC (MET+5/19:30). Moving on to the next event after that is PAO: Orion to ISS crew call (audio only), which is expected to happen at 18:40 UTC (MET+5/20:05). Then, following that, will be the Post Lunar flyby science debrief, which will occur at 19:00 UTC (MET+5/20:25). This will then be followed by a crew off-duty period that will start at 19:30 UTC (MET+5/20:55) and will last until 22:20 UTC (MET+5/23:45). Then, after that, will be the Return Trajectory Correction burn #1 (if needed) at 01:03 UTC (MET+6/02:28). And following that will be crew pre sleep at 04:35 UTC (MET+6/06:00), followed by the sleep period at 07:05 UTC (MET+6/08:30). And don't forget, you can tune into our Artemis II Real-Time Tracking 24/7 stream to watch the rest of the mission! NSF Artemis II Real Time Tracking 24/7 | NSF - NASASpaceflight.com

Jake (Max-Q) 🏴󠁧󠁢󠁷󠁬󠁳󠁿

23,025 просмотров • 4 месяцев назад

Claude Code Agent Teams are f*cking ridiculous 🤯 One prompt → a team lead breaks your project into pieces, spins up multiple AI agents, and they all work on different parts simultaneously. Research, builds, reviews, and debugging: all happening at the same time. All inside Claude Code. If you're running complex projects where every step waits on the last one... Agent teams eliminate the entire bottleneck: → Tell Claude what you need and describe the team structure in plain English → A lead agent breaks the work into a shared task list → It spawns 3-5 teammates — each with their own context and workspace → Teammates research, build, test, and review in parallel → They message each other, share findings, and challenge each other's work → The lead synthesizes everything into a finished deliverable No managing agents yourself. No waiting for step 1 to finish before step 2 starts. No single-lens reviews that miss half the issues. What you get: → Competitive research across 5 brands done in minutes instead of hours → Multi-component builds where frontend, backend, and data layers happen simultaneously → Creative reviews from 3 different angles at once — brand voice, conversion, differentiation → Funnel debugging where 4 agents investigate 4 theories and debate until they find the real answer Built 100% in Claude Code with one settings change. I put together a full DTC playbook: 5 workflows with copy-paste prompts, the exact setup process, token management tips, and honest guidance on when agent teams are worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

46,429 просмотров • 5 месяцев назад