Ovie

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Ovie

Ovie

@Oveea_0712

Physics student | AI research scientist | Quantum Machine Learning

Infinite hilbert space👾 Katılım Kasım 2020
131 Takip Edilen94 Takipçiler
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Ovie
Ovie@Oveea_0712·
Completed this in less than 10mins 😭
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Venkatesh
Venkatesh@Venkydotdev·
Scare Anthropic with one word.
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David Mansaray 👨🏾‍💻
Cancelled my Max subscription. Anthropic doesn’t deserve my money. I signed up for Fable. great model, but not so good to continue paying $200 a month to a company that rug pulls, communicates badly, doesn’t even give a reset when there are issues. Luckily, there are lots of great alternatives. I’m very happy with my OpenAI subscription!
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Physics In History
Physics In History@PhysInHistory·
“I need physics more than friends.” - Robert Oppenheimer
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JJ
JJ@JosephJacks_·
Computer science isn’t. Study biology and physics instead.
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Alice & Bob
Alice & Bob@Alice__Bob·
Oak Ridge National Laboratory just laid out its roadmap for quantum HPC at scale. Last week, Alice & Bob attended the event, where @gtourassi shared 5 predictions for where quantum computing is headed... 1. Fault tolerance arrives sooner than many think 2. Software becomes more valuable than hardware 3. Open software ecosystems outperform proprietary stacks 4. Integrated scientific facilities become the competitive advantage 5. Hybrid scientific computing becomes the default A few highlights for us: ⚙️ Every past computing revolution ran on open standards nobody owned, think MPI, OpenMP, Kokkos. Quantum needs the same thing. That's what openQSE is for. 🏃And it's already in motion: Oak Ridge is running real demos, checking quantum simulations against neutron scattering data, and testing quantum error correction on on-prem systems from Quantum Brilliance, @IQMquantum , and @RiverLane_io . Kevin D. Kissell represented Alice & Bob at the event. What stood out to us is that when you design hardware, software and applications together from the start, fault tolerance stops being a far-off goal and gets a lot closer. That's exactly what ORNL is doing, and we think more of the field should follow. The second photo tells the story of the room 📸 : a quantum company's HPC advisor (Kevin D. Kissell, from Alice & Bob), a US gov't CIO and CTO (Kris Torgerson and Scott Atchley), and an HPC company's quantum advisor (Michael Ferguson), all at the same table. #QuantumComputing #HPC #CatQubits #openQSE #FaultTolerance #QHPC #QuantumErrorCorrection
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Ovie
Ovie@Oveea_0712·
@AlexanderKalian Nature itself is statistical. Why do you think quantum mechanics is still the best tool we have to describe nature ?? Maybe you should review your stance :/
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Dr Alexander D. Kalian
Dr Alexander D. Kalian@AlexanderKalian·
I'm not anti-AI. I'm just not arrogant or naive enough to think that human-made statistical engines can solve every problem in this universe.
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alz
alz@alz_zyd_·
Intelligence is now free and the golden age of the nerd is over
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Ovie
Ovie@Oveea_0712·
@MaxForAI Distillation it self is very possible theoretically but the implementation aspect is what's still doesn't add up to me. How can you distill a teacher model to train a student model and then the student better than the teacher.
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Max For AI
Max For AI@MaxForAI·
路透独家:中国军方关联研究人员,正在用OpenAI和Anthropic的模型训练本土军用AI。 路透审查了80多篇中国论文和专利,发现多家军方及国防研究机构,正在通过模型蒸馏,把GPT和Claude的输出转移到更小、更便宜、能够离线部署的国产模型中。 其中最敏感的案例,来自解放军96941部队。 研究人员认为,第三方模型不适合直接处理涉密信息,于是先使用GPT-3.5总结军事软件源代码,再用这些总结训练国产模型,最终将模型部署在中国军方内部网络中。 其他论文还涉及无人机实时视频分析、导航和目标判断,以及无人机、舰船和无人潜航器参与的海上模拟作战。部分研究机构还使用Claude 3 Haiku生成社交媒体监控模型所需的合成数据。 报道还引用研究人员的话,称这些论文显示中国军方正在系统性捕获西方模型的推理步骤,把昂贵的专有推理能力转移到本地模型中。 但公开举出的GPT-3.5案例只是代码摘要,Claude 3 Haiku案例只是生成分类数据。 两者都不是推理轨迹,也谈不上转移什么前沿推理能力。 模型蒸馏当然值得关注。 大规模抓取闭源模型输出,复制其商业能力,也确实可能涉及服务条款、知识产权和国家安全问题。路透自己也承认,争议核心是未经授权的大规模提取,而不是蒸馏技术本身。 但仅凭这篇报道公开的证据,最多只能得出: 部分中国军方及军工关联研究人员,曾使用GPT-3.5和Claude 3 Haiku生成训练数据。 把它包装成中国军方正在用美国前沿AI训练无人机和国防系统,基本属于把几个松散案例焊在一起,制造了一条地缘政治大新闻。 PS:能看出来路透根本不懂中国军工科研的相关制度。
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IBM News
IBM News@IBMNews·
Today, @IBM is announcing three independent demonstrations of quantum advantage thanks to trusted quantum computations, published alongside @UChicago, Qedma and Algorithmiq. Representing the point where quantum computing provides a trustworthy answer, even in the absence of classical methods to check the work, we believe this is a real step towards scaling quantum computing use cases forward. Check it out here: ibm.co/6015Eundb
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Institute of Art and Ideas
Many scientists, operating with a materialist worldview, argue that consciousness emerges out of inanimate molecules. In contrast, Stuart Hameroff puts forward the controversial case that consciousness precedes life and that we have evidence for this from a recent NASA experiment. Stuart Hameroff is an American anesthesiologist and professor at the University of Arizona known for his studies of consciousness and his controversial claim, alongside Sir Roger Penrose, that consciousness originates from quantum states in neural microtubules. Tap here to watch his talk. iai.tv/video/consciou…
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Omo eleshin meridinlogun.
Omo eleshin meridinlogun.@Victoria_temi__·
If we do not tell our story or what we are they will tell it for us. Achebe we remember.
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Xiaoyin Qu
Xiaoyin Qu@quxiaoyin·
Chinese labs will catch up to OpenAI/Anthropic much faster than people expect. U.S must stop data center haters now. To replicate a frontier lab, you need 3 things: compute, talent, data. Within the compute bucket, there are 3 things: energy, data center, and chips. Right now, the only blocker for China is chips. Nothing else. 1. Data gap is solved: The same data vendors sell the same data to all labs, including Chinese ones + China can distill anything anywhere. 2. Talent gap is solved: China has more frontier labs, equally smart talents and 10x lower salaries. 3. Energy is solved already: China has 62 nuclear plants and working on 36 more. 4. Data center is solved. China is building data centers like crazy because Xi said so. End of conversation. 5. Chips is the only gap. Huawei is catching up but still not there yet. There are obviously (not-so-compliant) workarounds to get NVIDIA chips. In 2-3 years, I imagine China would close the chip gap. Then they would be truly unstoppable. However, U.S has huge gaps in energy and data centers and the pace to unlock those is way too slow. U.S must unblock compute to win. Fuck data center haters.
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27.
27.@dimvji·
all roads eventually lead back to the interests you had as a child
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World of Science
World of Science@Science_TechTV·
The physicist Richard Feynman talking with his hero – physicist and Nobel Prize winner Paul Dirac, who is considered one of the founding fathers of quantum mechanics. Warsaw, 1963.
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The Nobel Prize
The Nobel Prize@NobelPrize·
“I have come to think that physics is a never-ending quest.” Isaac Isidor Rabi discovered a method to measure the magnetic properties of atomic nuclei - research that would lead onto the development of MRI and atomic clocks. He was awarded the 1944 Nobel Prize in Physics.
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The Nobel Prize
The Nobel Prize@NobelPrize·
On this day in 1925, physics laureate Werner Heisenberg submitted a paper that revolutionised quantum mechanics. Heisenberg was only 23 years old when he submitted the paper "Quantum mechanical reinterpretation of kinematic and mechanical relations". For this theory and the applications of it which resulted especially in the discovery of allotropic forms of hydrogen, Heisenberg was awarded the Nobel Prize in Physics for 1932. His new theory was based only on what can be observed, that is to say, on the radiation emitted by the atom. We cannot, he said, always assign to an electron a position in space at a given time, nor follow it in its orbit, so that we cannot assume that the planetary orbits postulated by Niels Bohr actually exist. Mechanical quantities, such as position or velocity should be represented, not by ordinary numbers, but by abstract mathematical structures called “matrices” and he formulated his new theory in terms of matrix equations. Learn more about Heisenberg's work in his Nobel Prize lecture: nobelprize.org/prizes/physics…
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Director Michael Kratsios
Today, roughly the same amount of basic research is done in industry as in academia. It’s time our doctoral training reflected that. @NSF is launching a first-of-its-kind 4-year PhD program at more than 30 universities. Students will spend a year+ embedded with industry partners doing research that informs their dissertation.
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