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IOC Approve James’ Change Of Nationality

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Vraždy v Amityville, vymítání ďábla a další skutečné události, které inspirovaly filmové horory

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AI Companies Reportedly Struggling to Improve Latest Models

Leading artificial intelligence companies including OpenAI, Google, and Anthropic are facing "diminishing returns" from their costly efforts to build newer AI models, according to a new Bloomberg report. The stumbling blocks appear to be growing in size as Apple continues a phased rollout of its own AI features through Apple Intelligence.


OpenAI's latest model, known internally as Orion, has reportedly fallen short of the company's performance expectations, particularly in handling coding tasks. The model is said to be lacking the significant improvements over existing systems when compared to the gains GPT-4 made versus its predecessor.

Google is also reportedly facing similar obstacles with its upcoming Gemini software, while Anthropic has delayed the release of its anticipated Claude 3.5 Opus model. Industry experts who spoke to Bloomberg attributed the challenges to the increasing difficulty in finding "new, untapped sources of high-quality, human-made training data" and the enormous costs associated with developing and operating new models concurrently with existing ones.

Silicon Valley's belief that more computing power, data, and larger models will inevitably lead to better performance, and ultimately the holy grail – artificial general intelligence (AGI) – could be based on false assumptions, suggests the report. Consequently, companies are now exploring alternative approaches, including further post-training (incorporating human feedback to improve responses and refining the tone) and developing AI tools called agents that can perform targeted tasks, such as booking flights or sending emails on a user's behalf.

"The AGI bubble is bursting a little bit," said Margaret Mitchell, chief ethics scientist at AI startup Hugging Face. She told Bloomberg that "different training approaches" may be needed to make AI models work really well on a variety of tasks. Other experts who spoke to the outlet echoed Mitchell's sentiment.

How much impact these challenges will have on Apple's approach is unclear, though Apple Intelligence is more focused in comparison, and the company uses internal large language models (LLMs) grounded in privacy. Apple's AI services mainly operate on-device, while the company's Private Cloud Compute encrypted servers are only pinged for tasks requiring more advanced processing power.

Apple is integrating AI capabilities into existing products and services, including writing tools, Siri improvements, and image generation features, so it can't be said to be competing directly in the LLM space. However, Apple has agreed a partnership with OpenAI that allows Siri to optionally hand off more open-ended queries to ChatGPT. Apple has also reportedly held discussions with other LLM companies about similar outsourcing partnerships.

It's possible that the challenges faced by major AI companies pursuing breakthrough general-purpose AI models could ultimately validate Apple's more conservative strategy of developing specific AI features that enhance the user experience. In that sense, its privacy-first policy may not be the straitjacket it first seemed. Apple plans to expand Apple Intelligence features next month with the release of iOS 18.2 and then via further updates through 2025.


This article, "AI Companies Reportedly Struggling to Improve Latest Models" first appeared on MacRumors.com

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Lavrov: Russia ready to talk to Trump admin

Russian Foreign Minister Sergey Lavrov (pictured) said on Thursday that Russia is ready to communicate with United States President-elect Donald Trump and his administration, once he is sworn in. "The...




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Seplat announces Nigerian govt approval for $1.3bn acquisition of MPNU




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EP Jayarajan autobiography controversy: ആത്മകഥാ വിവാദം; ഡിജിപിക്ക് പരാതി നൽകി ഇപി ജയരാജൻ

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Efficient Fully Textured Perovskite Silicon Tandems with Thermally Evaporated Hole Transporting Materials

Energy Environ. Sci., 2024, Accepted Manuscript
DOI: 10.1039/D4EE03899A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Bhushan Kore, Oussama Er-raji, Oliver Fischer, Adrian Callies, Oliver Schultz-Wittmann, Patricia Samia Cerian Schulze, Martin Bivour, Stefaan De Wolf, Stefan W Glunz, Juliane Borchert
Fully textured perovskite silicon tandem solar cells effectively minimize the reflection losses and are compatible with industrial silicon production lines. To facilitate scalability and industrial deployment of perovskite silicon tandems...
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CPI(M) Kerala secretary M.V. Govindan backs E.P. Jayarajan amid autobiography controversy

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Origin of sputter damage during transparent conductive oxide deposition for semitransparent perovskite solar cells

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D3TA06654A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Qing Yang, Weiyuan Duan, Alexander Eberst, Benjamin Klingebiel, Yueming Wang, Ashish Kulkarni, Andreas Lambertz, Karsten Bittkau, Yongqiang Zhang, Svetlana Vitusevich, Uwe Rau, Thomas Kirchartz, Kaining Ding
The origin of sputter damage during transparent conductive oxide deposition is ion bombardment rather than plasma radiation. Ion bombardment increased recombination, whereas plasma radiation reduced recombination.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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The balancing act between high electronic and low ionic transport influenced by perovskite grain boundaries

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D3TA04458K, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Nadja Glück, Nathan S. Hill, Marcin Giza, Eline Hutter, Irene Grill, Johannes Schlipf, Udo Bach, Peter Müller-Buschbaum, Achim Hartschuh, Thomas Bein, Tom Savenije, Pablo Docampo
Grain size and orientation's impact on charge carriers is explored via a new solvent engineering method for MAPbI3 solar cells. Drift-diffusion simulations connect s-shaped JV curves to slower ions.
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The content of this RSS Feed (c) The Royal Society of Chemistry




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Revolutionary SAMs: transforming inverted perovskite solar cells

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D4TA00962B, Highlight
Hongshi Li, ShunChang Liu
Revolutionary self-assembled monolayers, represented by xPACz, have propelled the rapid improvement in the performance of inverted perovskite solar cells.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




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A high-current initiated formation strategy for improved cycling stability of anode-free lithium metal batteries

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D4TA01043D, Paper
Kangning Cai, Mengtian Zhang, Geng Zhong, Guohuang Kang, Jie Biao, Chuang Li, Yanru Liu, Guangmin Zhou, Feiyu Kang, Yidan Cao
Anode-free lithium metal batteries (AFLMBs) are considered as one of the most promising candidates for next-generation high-energy-density rechargeable lithium batteries. An efficient high-current initiated formation strategy is developed for AFLMBs.
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In situ construction of a double perovskite heterostructure with exsolved FeNi3 alloy nanoparticles for CO2 electrolysis in solid oxide electrolysis cells

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D3TA07820E, Paper
Xiaoyu Wang, Haibo Hu, Caiyue Xie, Yifei Wang, Haowei Li, Xifeng Ding
FeNi3 nanoparticles anchored on the (PrBa)0.95Fe1.6Ni0.4O6−δ double perovskite enhance the electrochemical performance and durability in direct CO2 electrolysis.
To cite this article before page numbers are assigned, use the DOI form of citation above.
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Multifunctional buried interface modification for efficient and stable SnO2-based perovskite solar cells

J. Mater. Chem. A, 2024, Accepted Manuscript
DOI: 10.1039/D4TA00108G, Paper
Rui Wu, Junhua Meng, Yiming Shi, Zhengchang Xia, Chunxia Yan, Lisheng Zhang, Wenkang Liu, Jinliang Zhao, JinXiang Deng, Xing Wang Zhang
Buried interface modification with multiple roles is key to boost the performance of perovskite solar cells (PSCs). Herein, a multifunctional passivator, N-(2-hydroxyethyl) ethylene diamine triacetic acid trisodium salt (HEDTA-3Na), is...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Melatonin treatment as an anti-aging therapy for UV-related degradation of perovskite solar cells

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D4TA01332H, Paper
Fei Liu, Agnes Valencia, Yuhua Zhu, Xiangyang Zhang, Weilu Li, Walid A. Daoud
With the ability to absorb UV light and scavenge radicals, the melatonin modified perovskite exhibits enhanced anti-aging and resistance to UV-related degradation.
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Highly Boosted Energy Storage Performance of Few-Layered MoS2 Utilized by Improved Electrode Fabrication: Experimental and Theoretical Studies

J. Mater. Chem. A, 2024, Accepted Manuscript
DOI: 10.1039/D4TA01713G, Paper
Zeyad M. Abdulhamid, Abhishek C. Lokhande, Adewale Hammed Pasanaje, Daniel S Choi, Nirpendra Singh, Kyriaki Polychronopoulou, Dalaver H. Anjum
Few-layer two-dimensional (2D) molybdenum disulfide (MoS2) has great potential in designing high-performance supercapacitors due to its high theoretical specific capacity, tunable bandgap, and fascinating 2D layered structure. However, the lack...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Stronger Polar Ferromagnetism and Narrower Optical Band Gaps in Two-Dimensional Hybrid Copper Perovskites Induced by Bromine-Substitution

J. Mater. Chem. C, 2024, Accepted Manuscript
DOI: 10.1039/D4TC03532A, Paper
Ceng Han, Jason Allan McNulty, Alasdair Bradford, Alexandra Slawin, Stephen Lee, Philip Lightfoot
Two-dimensional (2D) organic–inorganic hybrid perovskites are attracting great interest due to their structural tunability and rich functional characteristics. Here, we report a series 2D layered hybrid copper (II) halide perovskites...
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Dopant-free Tert-butyl Zn (II) Phthalocyanines: Impact of Substitution on Photo-Physical Properties in Their Role in Perovskite Solar Cells

J. Mater. Chem. C, 2024, Accepted Manuscript
DOI: 10.1039/D4TC04013A, Paper
Mahdi Gassara, Jose Garcés-Garcés, Luis Lezama, Javier Ortiz, Fernando Fernandez-Lazaro, Samrana Kazim, Angela Sastre-Santos, Shahzada Ahmad
We synthesized molecular hole-transporting materials (HTMs) featuring a zinc phthalocyanine (ZnPc) central core and modulated the non-perypheral position with different numbers of tert-butyl groups. The synthesized molecules were also integrated...
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'Any relief on bank guarantee will be provided across the sector': Scindia on Vodafone Idea request for waiver of bank guarantees for spectrum




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Providing better healthcare biggest priority: PM Modi ahead of Darbhanga AIIMS inauguration