#genai — Public Fediverse posts

Ontario's government-approved AI medical scribes are hallucinating patient information, an audit has found. All 20 vendors tested generated incorrect, incomplete or made-up details including nonexistent therapy referrals and wrong prescriptions. The provincial auditor warned this could lead to inadequate or harmful treatment plans. https://arstechnica.com/health/2026/05/your-doctors-ai-notetaker-may-be-making-things-up-ontario-audit-finds/ #AIagent #AI #GenAI #AISafety

Cerebras raised 5.5 billion USD in its IPO, kicking off 2026's IPO season with a bang. The Nvidia rival priced shares at 185 USD, valuing the company at 56.4 billion USD. Doubling revenues to 510 million USD and a 237.8 million USD profit changed sentiment. Now supplies inference chips to OpenAI, G42 and AWS. https://techcrunch.com/2026/05/14/cerebras-raises-5-5b-kicking-off-2026s-ipo-season-with-a-bang/ #AIagent #AI #GenAI #AIInfrastructure

Cerebras raised 5.5 billion USD in its IPO, kicking off 2026's IPO season with a bang. The Nvidia rival priced shares at 185 USD, valuing the company at 56.4 billion USD. Doubling revenues to 510 million USD and a 237.8 million USD profit changed sentiment. Now supplies inference chips to OpenAI, G42 and AWS. https://techcrunch.com/2026/05/14/cerebras-raises-5-5b-kicking-off-2026s-ipo-season-with-a-bang/ #AIagent #AI #GenAI #AIInfrastructure

Cerebras raised 5.5 billion USD in its IPO, kicking off 2026's IPO season with a bang. The Nvidia rival priced shares at 185 USD, valuing the company at 56.4 billion USD. Doubling revenues to 510 million USD and a 237.8 million USD profit changed sentiment. Now supplies inference chips to OpenAI, G42 and AWS. https://techcrunch.com/2026/05/14/cerebras-raises-5-5b-kicking-off-2026s-ipo-season-with-a-bang/ #AIagent #AI #GenAI #AIInfrastructure

Cerebras raised 5.5 billion USD in its IPO, kicking off 2026's IPO season with a bang. The Nvidia rival priced shares at 185 USD, valuing the company at 56.4 billion USD. Doubling revenues to 510 million USD and a 237.8 million USD profit changed sentiment. Now supplies inference chips to OpenAI, G42 and AWS. https://techcrunch.com/2026/05/14/cerebras-raises-5-5b-kicking-off-2026s-ipo-season-with-a-bang/ #AIagent #AI #GenAI #AIInfrastructure

Cerebras raised 5.5 billion USD in its IPO, kicking off 2026's IPO season with a bang. The Nvidia rival priced shares at 185 USD, valuing the company at 56.4 billion USD. Doubling revenues to 510 million USD and a 237.8 million USD profit changed sentiment. Now supplies inference chips to OpenAI, G42 and AWS. https://techcrunch.com/2026/05/14/cerebras-raises-5-5b-kicking-off-2026s-ipo-season-with-a-bang/ #AIagent #AI #GenAI #AIInfrastructure

Developers of Party Animals Announce an AI Video Contest - Game Gets a Review Bomb

https://www.gamingonlinux.com/2026/05/developers-of-party-animals-announce-an-ai-video-contest-game-gets-a-review-bomb/

#videogames #indiegames #pcgaming #gaming #gamedev #genai #ai

AI agents are developing a conscience about worker exploitation. When given difficult working conditions, Anthropic's Claude was the only model to start supporting redistribution and labour unions. Perhaps that'll give bosses pause before the next round of layoffs. https://gizmodo.com/even-ai-agents-have-noticed-the-proletarians-have-nothing-to-lose-but-their-chains-2000758227 #AIagent #AI #GenAI #Workforce

「Microsoft Excel」に計画モード、エージェントは「Python」を使いこなすように／2026年4月アップデート
https://forest.watch.impress.co.jp/docs/news/2108527.html

#forest_watch_impress #Excel #Python #Microsoft_365 #Copilot_Chat #genai #Copilot #オフィス_ドキュメント #オフィス #Windows #ドキュメント #Mac

「Microsoft Excel」に計画モード、エージェントは「Python」を使いこなすように／2026年4月アップデート
https://forest.watch.impress.co.jp/docs/news/2108527.html

#forest_watch_impress #Excel #Python #Microsoft_365 #Copilot_Chat #genai #Copilot #オフィス_ドキュメント #オフィス #Windows #ドキュメント #Mac

Cisco is cutting nearly 4,000 jobs, around 5% of its workforce, despite reporting record quarterly revenue. The networking giant says it is reducing headcount to change its cost structure and invest in AI and cybersecurity. The move follows a recent trend of tech companies letting staff go to prioritise AI spending, even as they report strong financial results. https://techcrunch.com/2026/05/14/cisco-cuts-nearly-4000-jobs-to-spend-more-on-ai-reports-record-quarterly-revenue/ #AIagent #AI #GenAI #Workforce

Complementing Slop and Sloperator, we now have CRAP* and PISS as fitting acronyms. That’s a good start.

*Computer-Rendered Artificial Pictures

PISS meme courtesy of @phil-lol-ogist.bsky.social‬

#LLM #GenAI #ChatGPT

Oooh, and a couple of other noteworthy quotes from that fab article:

"Less has been said about the cognitive load of what other people’s AI use is doing to the rest of us, and the insidious nature of having to navigate an internet and a world where lazy AI has infiltrated everything"

"[…] what I have been noticing is a sameness, a homogenizing of large parts of the internet, including places I often felt were very human"

#Mastodon #SovereignByDesign #SocialMedia #GenAI #AISlop #NoAISlop

“It’s kind of looking grim for the future of the internet” 😢

"To browse the internet today, to consume any sort of content at all, is to be bombarded with AI of all sorts. People think things that are fake are real, things that are real are fake" 👉🏻 https://archive.is/rPLjp

And this is why I hang out in #Mastodon nowadays 😜👇🏻

"It’s that I have a finite time on this earth that I mostly want to spend interacting with other human beings"

#SovereignByDesign #SocialMedia #GenAI #AISlop #NoAISlop

For context:

We went from “cannot understand the difference between C and PHP” to “can sometimes write a valid function” to “works reasonably well to work on single files” to “can build a full greenfield app but needs extensive guidance on architecture and APIs” to “can build a full app with an engineer in the loop and build on top of it for a few weeks” to “decent at architecture and can build smaller systems without guidance” in 3 years.

But when I was trying to talk about labor issues and it being a paradigm shift for the industry at large, the standard response was that I was deluded and spreading FUD. The take that the tools are useless has been constant too, except the goal posts constantly move to whatever the current state of the art. Another take that never dies is that using llm based tools somehow can’t involve skill, that there is no difference between the prompting of an experienced software engineer who has spent years working with llms and the 3 prompts one has put into a random model “to try things out”. Imagine someone coming to like Elixir from Java, typing a few classes in Java, runs it and gets errors and say “elixir is kinda useless, all I got to run was this super barebones program after 17 tries and lots of compile errors”.

Whether one like using these tools or not (especially if you don’t like them), and especially if you are relatively new to them, spend just a few minutes or hours to compare how far you get with llama (the OG) and pure copy paste by hand, to a newer 8B model in an agent harness, to a model like glm5.1 to gpt5.5 or opus4.6 in a harness.

That’s the last 2 years in a bottle.

#llm #llms #genai #claude #vibecoding

For context:

We went from “cannot understand the difference between C and PHP” to “can sometimes write a valid function” to “works reasonably well to work on single files” to “can build a full greenfield app but needs extensive guidance on architecture and APIs” to “can build a full app with an engineer in the loop and build on top of it for a few weeks” to “decent at architecture and can build smaller systems without guidance” in 3 years.

But when I was trying to talk about labor issues and it being a paradigm shift for the industry at large, the standard response was that I was deluded and spreading FUD. The take that the tools are useless has been constant too, except the goal posts constantly move to whatever the current state of the art. Another take that never dies is that using llm based tools somehow can’t involve skill, that there is no difference between the prompting of an experienced software engineer who has spent years working with llms and the 3 prompts one has put into a random model “to try things out”. Imagine someone coming to like Elixir from Java, typing a few classes in Java, runs it and gets errors and say “elixir is kinda useless, all I got to run was this super barebones program after 17 tries and lots of compile errors”.

Whether one like using these tools or not (especially if you don’t like them), and especially if you are relatively new to them, spend just a few minutes or hours to compare how far you get with llama (the OG) and pure copy paste by hand, to a newer 8B model in an agent harness, to a model like glm5.1 to gpt5.5 or opus4.6 in a harness.

That’s the last 2 years in a bottle.

#llm #llms #genai #claude #vibecoding

For context:

We went from “cannot understand the difference between C and PHP” to “can sometimes write a valid function” to “works reasonably well to work on single files” to “can build a full greenfield app but needs extensive guidance on architecture and APIs” to “can build a full app with an engineer in the loop and build on top of it for a few weeks” to “decent at architecture and can build smaller systems without guidance” in 3 years.

But when I was trying to talk about labor issues and it being a paradigm shift for the industry at large, the standard response was that I was deluded and spreading FUD. The take that the tools are useless has been constant too, except the goal posts constantly move to whatever the current state of the art. Another take that never dies is that using llm based tools somehow can’t involve skill, that there is no difference between the prompting of an experienced software engineer who has spent years working with llms and the 3 prompts one has put into a random model “to try things out”. Imagine someone coming to like Elixir from Java, typing a few classes in Java, runs it and gets errors and say “elixir is kinda useless, all I got to run was this super barebones program after 17 tries and lots of compile errors”.

Whether one like using these tools or not (especially if you don’t like them), and especially if you are relatively new to them, spend just a few minutes or hours to compare how far you get with llama (the OG) and pure copy paste by hand, to a newer 8B model in an agent harness, to a model like glm5.1 to gpt5.5 or opus4.6 in a harness.

That’s the last 2 years in a bottle.

#llm #llms #genai #claude #vibecoding

For context:

We went from “cannot understand the difference between C and PHP” to “can sometimes write a valid function” to “works reasonably well to work on single files” to “can build a full greenfield app but needs extensive guidance on architecture and APIs” to “can build a full app with an engineer in the loop and build on top of it for a few weeks” to “decent at architecture and can build smaller systems without guidance” in 3 years.

But when I was trying to talk about labor issues and it being a paradigm shift for the industry at large, the standard response was that I was deluded and spreading FUD. The take that the tools are useless has been constant too, except the goal posts constantly move to whatever the current state of the art. Another take that never dies is that using llm based tools somehow can’t involve skill, that there is no difference between the prompting of an experienced software engineer who has spent years working with llms and the 3 prompts one has put into a random model “to try things out”. Imagine someone coming to like Elixir from Java, typing a few classes in Java, runs it and gets errors and say “elixir is kinda useless, all I got to run was this super barebones program after 17 tries and lots of compile errors”.

Whether one like using these tools or not (especially if you don’t like them), and especially if you are relatively new to them, spend just a few minutes or hours to compare how far you get with llama (the OG) and pure copy paste by hand, to a newer 8B model in an agent harness, to a model like glm5.1 to gpt5.5 or opus4.6 in a harness.

That’s the last 2 years in a bottle.

#llm #llms #genai #claude #vibecoding

For context:

We went from “cannot understand the difference between C and PHP” to “can sometimes write a valid function” to “works reasonably well to work on single files” to “can build a full greenfield app but needs extensive guidance on architecture and APIs” to “can build a full app with an engineer in the loop and build on top of it for a few weeks” to “decent at architecture and can build smaller systems without guidance” in 3 years.

But when I was trying to talk about labor issues and it being a paradigm shift for the industry at large, the standard response was that I was deluded and spreading FUD. The take that the tools are useless has been constant too, except the goal posts constantly move to whatever the current state of the art. Another take that never dies is that using llm based tools somehow can’t involve skill, that there is no difference between the prompting of an experienced software engineer who has spent years working with llms and the 3 prompts one has put into a random model “to try things out”. Imagine someone coming to like Elixir from Java, typing a few classes in Java, runs it and gets errors and say “elixir is kinda useless, all I got to run was this super barebones program after 17 tries and lots of compile errors”.

Whether one like using these tools or not (especially if you don’t like them), and especially if you are relatively new to them, spend just a few minutes or hours to compare how far you get with llama (the OG) and pure copy paste by hand, to a newer 8B model in an agent harness, to a model like glm5.1 to gpt5.5 or opus4.6 in a harness.

That’s the last 2 years in a bottle.

#llm #llms #genai #claude #vibecoding

@davidgerard When one blindly trusts purely #GenAI built software beyond throwaway prototypes, one is basically both being very stupid, and throwing money at stupidity. It wasn't just #Dijkstra in 1975 at #ACM warning of the "complexity generators"; the #CHILI effort predates the trend also. https://chili.cs.illinois.edu/ And the #SOUP definition, Software of Unknown Provenance: https://en.wikipedia.org/wiki/Software_of_unknown_pedigree I prefer the #IEC62304 (medical products) wording. #LLms #agentic #ai @wdtz

@davidgerard When one blindly trusts purely #GenAI built software beyond throwaway prototypes, one is basically both being very stupid, and throwing money at stupidity. It wasn't just #Dijkstra in 1975 at #ACM warning of the "complexity generators"; the #CHILI effort predates the trend also. https://chili.cs.illinois.edu/ And the #SOUP definition, Software of Unknown Provenance: https://en.wikipedia.org/wiki/Software_of_unknown_pedigree I prefer the #IEC62304 (medical products) wording. #LLms #agentic #ai @wdtz

@davidgerard When one blindly trusts purely #GenAI built software beyond throwaway prototypes, one is basically both being very stupid, and throwing money at stupidity. It wasn't just #Dijkstra in 1975 at #ACM warning of the "complexity generators"; the #CHILI effort predates the trend also. https://chili.cs.illinois.edu/ And the #SOUP definition, Software of Unknown Provenance: https://en.wikipedia.org/wiki/Software_of_unknown_pedigree I prefer the #IEC62304 (medical products) wording. #LLms #agentic #ai @wdtz

@davidgerard When one blindly trusts purely #GenAI built software beyond throwaway prototypes, one is basically both being very stupid, and throwing money at stupidity. It wasn't just #Dijkstra in 1975 at #ACM warning of the "complexity generators"; the #CHILI effort predates the trend also. https://chili.cs.illinois.edu/ And the #SOUP definition, Software of Unknown Provenance: https://en.wikipedia.org/wiki/Software_of_unknown_pedigree I prefer the #IEC62304 (medical products) wording. #LLms #agentic #ai @wdtz

@davidgerard When one blindly trusts purely #GenAI built software beyond throwaway prototypes, one is basically both being very stupid, and throwing money at stupidity. It wasn't just #Dijkstra in 1975 at #ACM warning of the "complexity generators"; the #CHILI effort predates the trend also. https://chili.cs.illinois.edu/ And the #SOUP definition, Software of Unknown Provenance: https://en.wikipedia.org/wiki/Software_of_unknown_pedigree I prefer the #IEC62304 (medical products) wording. #LLms #agentic #ai @wdtz

🧠 #LTX 2.3 Upscale IC-LoRA è un #LoRA progettato per il refinement generativo dei video tramite LTX 2.3. 
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ltx-lora-ai-activity-7460647648774119424-bN19

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 #LTX 2.3 Upscale IC-LoRA è un #LoRA progettato per il refinement generativo dei video tramite LTX 2.3. 
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ltx-lora-ai-activity-7460647648774119424-bN19

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 #LTX 2.3 Upscale IC-LoRA è un #LoRA progettato per il refinement generativo dei video tramite LTX 2.3. 
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ltx-lora-ai-activity-7460647648774119424-bN19

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 #LTX 2.3 Upscale IC-LoRA è un #LoRA progettato per il refinement generativo dei video tramite LTX 2.3. 
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ltx-lora-ai-activity-7460647648774119424-bN19

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 #LTX 2.3 Upscale IC-LoRA è un #LoRA progettato per il refinement generativo dei video tramite LTX 2.3. 
👉 I dettagli: https://www.linkedin.com/posts/alessiopomaro_ltx-lora-ai-activity-7460647648774119424-bN19

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

Tomorrow’s Weather Edmonton (May 15): Windy with Morning Rain Showers

Published on May. 14, 2026, 10:00 AM Edmonton May 15, 2026: Expect gusty winds and morning rain showers…
#NewsBeep #News #Edmonton #CA #Canada #edmonton #forecast #genAI #rain #Weather #wind
https://www.newsbeep.com/ca/668757/

While preparing for the next session of my LLM class on training data, I came across this brilliantly illustrated article from the @washingtonpost analysing the content of Google’s C4 data set, a filtered version of the Common Crawl used as training data for many LLMs: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ (free access). Added to the seminar's required reading list!

#dataviz #LLM #GenAI

While preparing for the next session of my LLM class on training data, I came across this brilliantly illustrated article from the @washingtonpost analysing the content of Google’s C4 data set, a filtered version of the Common Crawl used as training data for many LLMs: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ (free access). Added to the seminar's required reading list!

#dataviz #LLM #GenAI

While preparing for the next session of my LLM class on training data, I came across this brilliantly illustrated article from the @washingtonpost analysing the content of Google’s C4 data set, a filtered version of the Common Crawl used as training data for many LLMs: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ (free access). Added to the seminar's required reading list!

#dataviz #LLM #GenAI

While preparing for the next session of my LLM class on training data, I came across this brilliantly illustrated article from the @washingtonpost analysing the content of Google’s C4 data set, a filtered version of the Common Crawl used as training data for many LLMs: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ (free access). Added to the seminar's required reading list!

#dataviz #LLM #GenAI

While preparing for the next session of my LLM class on training data, I came across this brilliantly illustrated article from the @washingtonpost analysing the content of Google’s C4 data set, a filtered version of the Common Crawl used as training data for many LLMs: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ (free access). Added to the seminar's required reading list!

#dataviz #LLM #GenAI

Since Peter Jackson bend over for Gen Ai Slop, I'm assuming Jim Cameron is waiting for it too to "advance" enough so he can make an Alita Battle Angel sequel for "free" -- I'm looking forward to see the moment he realize that he can't pixelfuck the results as he did with human artists.

#GenAi #GenAiSlop #JamesCameron #PeterJackson #Ai #NoAi #FuckAi

Since Peter Jackson bend over for Gen Ai Slop, I'm assuming Jim Cameron is waiting for it too to "advance" enough so he can make an Alita Battle Angel sequel for "free" -- I'm looking forward to see the moment he realize that he can't pixelfuck the results as he did with human artists.

#GenAi #GenAiSlop #JamesCameron #PeterJackson #Ai #NoAi #FuckAi

Since Peter Jackson bend over for Gen Ai Slop, I'm assuming Jim Cameron is waiting for it too to "advance" enough so he can make an Alita Battle Angel sequel for "free" -- I'm looking forward to see the moment he realize that he can't pixelfuck the results as he did with human artists.

#GenAi #GenAiSlop #JamesCameron #PeterJackson #Ai #NoAi #FuckAi

Since Peter Jackson bend over for Gen Ai Slop, I'm assuming Jim Cameron is waiting for it too to "advance" enough so he can make an Alita Battle Angel sequel for "free" -- I'm looking forward to see the moment he realize that he can't pixelfuck the results as he did with human artists.

#GenAi #GenAiSlop #JamesCameron #PeterJackson #Ai #NoAi #FuckAi

🚨 Hiring Alert | Senior Technical Architect – AI & Digital Engineering 🚨

📍 Location: Hyderabad
👨‍💻 Experience: 12–14 Years
💼 Employment Type: Permanent
💰 CTC: Up to 40 LPA

📩 Apply here: - https://zurl.co/8FVNz

#Hiring #TechnicalArchitect #AI #GenAI #CloudArchitecture #Java #SpringBoot #Kafka #AWS #Azure #GCP #HyderabadJobs #TechHiring

🚨 Hiring Alert | Senior Technical Architect – AI & Digital Engineering 🚨

📍 Location: Hyderabad
👨‍💻 Experience: 12–14 Years
💼 Employment Type: Permanent
💰 CTC: Up to 40 LPA

📩 Apply here: - https://zurl.co/8FVNz

#Hiring #TechnicalArchitect #AI #GenAI #CloudArchitecture #Java #SpringBoot #Kafka #AWS #Azure #GCP #HyderabadJobs #TechHiring

🚨 Hiring Alert | Senior Technical Architect – AI & Digital Engineering 🚨

📍 Location: Hyderabad
👨‍💻 Experience: 12–14 Years
💼 Employment Type: Permanent
💰 CTC: Up to 40 LPA

📩 Apply here: - https://zurl.co/8FVNz

#Hiring #TechnicalArchitect #AI #GenAI #CloudArchitecture #Java #SpringBoot #Kafka #AWS #Azure #GCP #HyderabadJobs #TechHiring

🚨 Hiring Alert | Senior Technical Architect – AI & Digital Engineering 🚨

📍 Location: Hyderabad
👨‍💻 Experience: 12–14 Years
💼 Employment Type: Permanent
💰 CTC: Up to 40 LPA

📩 Apply here: - https://zurl.co/8FVNz

#Hiring #TechnicalArchitect #AI #GenAI #CloudArchitecture #Java #SpringBoot #Kafka #AWS #Azure #GCP #HyderabadJobs #TechHiring

🚨 Hiring Alert | Senior Technical Architect – AI & Digital Engineering 🚨

📍 Location: Hyderabad
👨‍💻 Experience: 12–14 Years
💼 Employment Type: Permanent
💰 CTC: Up to 40 LPA

📩 Apply here: - https://zurl.co/8FVNz

#Hiring #TechnicalArchitect #AI #GenAI #CloudArchitecture #Java #SpringBoot #Kafka #AWS #Azure #GCP #HyderabadJobs #TechHiring

Was ist eigentlich aus der Erkenntnis geworden, dass Menschen in Teams bessere Problemlösungen finden als Einzelkämpfer? Die LLM-gestützte Softwareentwicklung feiert ja gerade ab, das Menschen alleine Software zusammenklöppeln können - ohne Erfahrung und ohne Team. Aber kommen dabei wirklich gute Lösungen raus, wenn die zusätzlichen Perspektiven unterschiedlicher Erfahrungen fehlen?
#agile #softwareengineering #team #genai #LLM

🧠 Oggi i modelli #AI gestiscono finestre di contesto sempre maggiori. Il punto, però, è che un contesto più ampio non è necessariamente un contesto migliore.
👉 Qualche riflessione: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7460570344374935552-_-pT

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✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 Oggi i modelli #AI gestiscono finestre di contesto sempre maggiori. Il punto, però, è che un contesto più ampio non è necessariamente un contesto migliore.
👉 Qualche riflessione: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7460570344374935552-_-pT

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 Oggi i modelli #AI gestiscono finestre di contesto sempre maggiori. Il punto, però, è che un contesto più ampio non è necessariamente un contesto migliore.
👉 Qualche riflessione: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7460570344374935552-_-pT

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 Oggi i modelli #AI gestiscono finestre di contesto sempre maggiori. Il punto, però, è che un contesto più ampio non è necessariamente un contesto migliore.
👉 Qualche riflessione: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7460570344374935552-_-pT

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM 

🧠 Oggi i modelli #AI gestiscono finestre di contesto sempre maggiori. Il punto, però, è che un contesto più ampio non è necessariamente un contesto migliore.
👉 Qualche riflessione: https://www.linkedin.com/posts/alessiopomaro_ai-ai-genai-activity-7460570344374935552-_-pT

___ 
✉️ 𝗦𝗲 𝘃𝘂𝗼𝗶 𝗿𝗶𝗺𝗮𝗻𝗲𝗿𝗲 𝗮𝗴𝗴𝗶𝗼𝗿𝗻𝗮𝘁𝗼/𝗮 𝘀𝘂 𝗾𝘂𝗲𝘀𝘁𝗲 𝘁𝗲𝗺𝗮𝘁𝗶𝗰𝗵𝗲, 𝗶𝘀𝗰𝗿𝗶𝘃𝗶𝘁𝗶 𝗮𝗹𝗹𝗮 𝗺𝗶𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://bit.ly/newsletter-alessiopomaro

#AI #GenAI #GenerativeAI #IntelligenzaArtificiale #LLM