#generativeAI
𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙧𝙪𝙣𝙨 𝙤𝙣 𝙜𝙖𝙢𝙗𝙡𝙞𝙣𝙜 𝙖𝙙𝙙𝙞𝙘𝙩𝙞𝙤𝙣
https://pivot-to-ai.com/2025/06/05/generative-ai-runs-on-gambling-addiction-just-one-more-prompt-bro
The original image and the prompt can be found here:
#Runway ha presentato #Aleph, un nuovo modello video “in-context” che segna un punto di svolta nell’editing e nella generazione visiva.
I dettagli: https://www.linkedin.com/posts/alessiopomaro_runway-aleph-ai-activity-7355114398635438080-5EaS
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𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro
Air France déploie l’IA générative pour automatiser la création de contenus, boostant efficacité et personnalisation.
https://www.aerocontact.com/actualite-aeronautique-spatiale/95191-l-ia-chez-air-france
#Innovation #AerospaceEngineering #GenerativeAI #AirFrance #DigitalTransformation
Goldman Sachs staff now write a million gen AI prompts a month
Recently, it's provided its GS AI, a platform that hosts #GenerativeAI assistants, to its entire workforce of 46,000 people and has been training them on how to use it.
https://www.americanbanker.com/news/goldman-sachs-staff-now-write-a-million-gen-ai-prompts-a-month
https://www.europesays.com/us/94905/ Scientists Investigate Use of AI to Speed Analysis of Nuclear Materials #ai #chemistry #CloudComputing #ComputationalChemistry #Computing #GenerativeAI #MaterialScience #Microsoft #NuclearPhysics #PacificNorthwestNationalLaboratory #PNNL #Technology #ThreatModel #UnitedStates #UnitedStates #US
Air New Zealand équipe 3 500 salariés de ChatGPT Enterprise pour booster opérations, maintenance et relation client.
https://www.air-journal.fr/2025-07-25-air-new-zealand-adopte-lia-dopenai-pour-gagner-en-efficacite-5264330.html
#Innovation #AerospaceEngineering #AIinAirlines #ChatGPTEnterprise #GenerativeAI
#privacy #security #ai #generative-ai #llms #vibe-coding
Origin | Interest | Match
The Nvidia RTX A2000 6GB is not the best by far, it lacks VRAM. But computing wise and in term of fair use, with patience, @70W it is a really good deal. It is silent, small, and it works on older computers (no need to change the PSU). I think great for machine learning rather than generative AI, it supports #CUDA (it is for working e.g not gaming).
NB: non sponsored review
#LegaEthics Tidbit: If a partner adds some citations to my brief, should I check them for #AI hallucinations just in case?
While briefing a discovery dispute, a subordinate lawyer at an AL law firm drafted a brief and submitted it to the partner for review. The partner, without telling anyone, used ChatGPT to do some research, added a few new citations into the brief, and gave them back to the ... (cont.)
https://lnkd.in/egdqfud5
#law #generativeai #generativeartificialintelligence
"While the risk of a billion-dollar-plus jury verdict is real, it’s important to note that judges routinely slash massive statutory damages awards — sometimes by orders of magnitude. Federal judges, in particular, tend to be skeptical of letting jury awards reach levels that would bankrupt a major company. As a matter of practice (and sometimes doctrine), judges rarely issue rulings that would outright force a company out of business, and are generally sympathetic to arguments about practical business consequences. So while the jury’s damages calculation will be the headline risk, it probably won’t be the last word.
On Thursday, the company filed a motion to stay — a request to essentially pause the case — in which they acknowledged the books covered likely number “in the millions.” Anthropic’s lawyers also wrote, “the specter of unprecedented and potentially business-threatening statutory damages against the smallest one of the many companies developing [large language models] with the same books data” (though it’s worth noting they have an incentive to amplify the stakes in the case to the judge).
The company could settle, but doing so could still cost billions given the scope of potential penalties."
https://www.obsolete.pub/p/anthropic-faces-potentially-business
"I just want to be clear here: the price of my plan did not change. Instead, Microsoft moved me to a new plan that contained generative AI features I never asked for; a plan that cost a lot more than I was already paying. Then it lied to me, claiming my existing plan had increased in price and that there was no version of a plan without generative AI — until I tried to stop paying them altogether.
Deceptive practices like this are part of the reason so many people not only increasingly despise the tech monopolies, but also see generative AI as a giant scam. I have little doubt that if Lina Khan was still heading up the US Federal Trade Commission that this is something she’d be looking into; it’s such a clear example of the abuses she used to take on. But now that a Trump crony is in that position instead, tech companies can get away with ripping off and lying to their customers, as Microsoft just did to me and millions of others.
I’m not trying to claim I’m the first person to notice Microsoft doing this; I’m expressing how furious I was when I saw how deceptively the company was acting toward me to fund its generative AI ambitions."
Do AI models help produce verified bug fixes?
"Abstract: Among areas of software engineering where AI techniques — particularly, Large Language Models — seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills?
To answer these questions, we took advantage of the availability of a program-proving environment, which formally determines the correctness of proposed fixes, to conduct a study of program debugging with two randomly assigned groups of programmers, one with access to LLMs and the other without, both validating their answers through the proof tools. The methodology relied on a division into general research questions (Goals in the GoalQuery-Metric approach), specific elements admitting specific answers (Queries), and measurements supporting these answers (Metrics). While applied so far to a limited sample size, the results are a first step towards delineating a proper role for AI and LLMs in providing guaranteed-correct fixes to program bugs.
These results caused surprise as compared to what one might expect from the use of AI for debugging and APR. The contributions also include: a detailed methodology for experiments in the use of LLMs for debugging, which other projects can reuse; a finegrain analysis of programmer behavior, made possible by the use of full-session recording; a definition of patterns of use of LLMs, with 7 distinct categories; and validated advice for getting the best of LLMs for debugging and Automatic Program Repair"
Anthropic Rolls Out Claude Code ‘Sub-Agents’ to Streamline Complex AI Workflows
#AI #DevTools #Anthropic #Claude #ClaudeCode #SoftwareDevelopment #GenerativeAI #AICoding #VibeCoding
Google ha presentato Web Guide, un nuovo esperimento dei Search Labs che punta a migliorare l’esperienza di ricerca online grazie all’#AI.
I dettagli: https://www.linkedin.com/posts/alessiopomaro_google-ai-gemini-activity-7354825073171529728-jHSO
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𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro
The original image and the prompt can be found here:
Weekly Update from the Open Journal of Astrophysics – 26/07/2025
It’s Saturday morning again, so it’s time again for an update of papers published at the Open Journal of Astrophysics. Since the last update we have published seven new papers, which brings the number in Volume 8 (2025) up to 15, and the total so far published by OJAp up to 340. I expect we’ll pass the century for this year sometime next week. I had expected a bit of a slowdown in July, but that doesn’t seem to have happened. Anyway, with the century for the year having been achieved, the next target is 120 (the total number we published last year). At the current rate I expect us to reach that sometime in August.
The papers published this week, with their overlays, are as follows. You can click on the images of the overlays to make them larger should you wish to do so.
The first paper to report is “Non-equilibrium ionization in the multiphase circumgalactic medium – impact on quasar absorption-line analyses” by Suyash Kumar and Hsiao-Wen Chen (University of Chicago, USA). This was published on Tuesday 22nd July 2025 in the folder Astrophysics of Galaxies. It discusses time-dependent photoionization (TDP) models that self-consistently solve for the ionization state of rapidly cooling gas irradiated by the extragalactic ultraviolet background (UVB) and the application thereof to observed systems.
The overlay is here:
The officially-accepted version can be found on arXiv here.
The second paper of the week, also published on Tuesday 22nd July but in the folder Cosmology and Nongalactic Astrophysics, is “Do We Know How to Model Reionization?” by Nick Gnedin (University of Chicago, USA). This paper discusses the similarities and differences between the radiation fields produced by different numerical simulations of cosmic reionization. The overlay is here:
You can find the officially accepted version of the paper on arXiv here.
The third paper of the week is “The effects of projection on measuring the splashback feature” by Xiaoqing Sun (MIT), Stephanie O’Neil (U. Penn.), Xuejian Shen (MIT) and Mark Vogelsberger (MIT), all based in the USA. This paper describes an investigation whether projection effects could lead to any systematic bias in determining the position of the boundary between infalling and accreting matter around haloes. It was published on Wednesday 23rd July in the folder Astrophysics of Galaxies. The overlay is here:
The officially-accepted version can be found on arXiv here.
The fourth paper of the week, also published on Wednesday 22nd July in the folder Astrophysics of Galaxies, is “Host galaxy identification of LOFAR sources in the Euclid Deep Field North” by Laura Bisigello, Marika Giulietti, Isabella Prandoni, Marco Bondi, & Matteo Bonato (INAF, Bologna, Italy), Manuela Magliocchetti (INAF-IAPS Roma, Italy), Huub Rottgering (Leiden Observatory, Netherlands), Leah, K. Morabito (Durham University, UK) and Glenn, J. White (Open Universirty, UK). This presents a catalogue of optical and near-infrared counterparts to radio sources detected in the Euclid Deep Field North using observations from the LOw-Frequency ARray (LOFAR). The overlay is here:
The final, accepted version of the paper is on arXiv here.
Fifth one up is “Constraining the dispersion measure redshift relation with simulation-based inference” by Koustav Konar (Ruhr University Bochum), Robert Reischke (Universität Bonn), Steffen Hagstotz (Ludwig-Maximilians Universität München), Andrina Nicola (Bonn) and Hendrik Hildebrandt (Bochum); all authors based in Germany. This was published on Thursday 24th July in the folder Cosmology and NonGalactic Astrophysics. It discusses using simulations to develop the use of Dispersion Measures of Fast Radio Bursts as cosmological probes. The overlay is here:
You can find the officially accepted version on arXiv here.
The penultimate (sixth) article published this week is “Generating Dark Matter Subhalo Populations Using Normalizing Flows” by Jack Lonergan (University of Southern California), Andrew Benson (Carnegie Observatories) and Daniel Gilman (University of Chicago), all based in the USA. This paper describes a generative AI approach to subhalo populations, trained using the semi-analytical model Galacticus. This paper was published yesterday (i.e. on Friday 25th July) in the folder Astrophysics of Galaxies.
You can find the final version on arXiv here.
The last article published this week is “21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations” by Harley Katz of the University of Chicago, and 13 others based in the USA, UK, Germany, Denmark and Austria. This discusses the implications of extreme nebular emission for the spectroscopic properties of galaxies, especially at high redshift. It was published on Friday 25th July in the folder Astrophysics of Galaxies.
The overlay is here:
You can find the officially-accepted version on arXiv here.
And that’s all the papers for this week. I’ll do another update next Saturday, when we’ll be into August.
Ho creato un Agente #AI che genera prompt strutturati per #Veo 3, e devo dire che l'aderenza dei video in output con l'idea di partenza è altissima.
Come usarlo: https://www.linkedin.com/posts/alessiopomaro_ai-veo-ai-activity-7354752322985508865-wrS5
___ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro