itnewsbot (@itnewsbot@schleuss.online)
Companies Are Pouring Billions Into A.I. It Has Yet to Pay Off. - Corporate spending on artificial intelligence is surging as executives bank on major effi... - https://www.nytimes.com/2025/08/13/business/ai-business-payoff-lags.html #computersandtheinternet #artificialintelligence #laborandjobs #innovation #start-ups #research #chatgpt
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2025 (@2025@warnercrocker.com)
Change Is Hard
Change may be inevitable but change is hard. Change becomes harder when those making the change, for whatever reasons, don’t remember change is hard. The only thing that doesn’t change is how easily we forget that change is hard.
OpenAI met with some real friction after announcing its big changes last week. Apple is going to meet some when it doles out its new operating systems with Liquid Glass next month. HBO changes its name so often it can’t even get it right in press releases. The list is as long as history. Every company faces this. Some do it well. Others not so.
As M.G. Siegler points out in this column if you’ve been around long enough you learn to recognize the patterns. You have to be willfully blind or consumed by ego not to. In fact, the problems with instituting change are so predictable it makes one wonder why these AI engines, endlessly regurgitating whatever human wisdom they can scrape and scrounge, don’t caution against it. I’m sure somewhere in all the words and wisdom created by humans “change is hard” has been said before.
If we’re marching towards an advanced AGI with PhD level knowledge that can reason better than humans, I think the masters of the AI universe need to solve that problem before anyone can make a claim that we might someday get there.
Call me when that happens.
It’s like watching a new edition to the Alien franchise hoping one actually turns out to be more than a repeat. Or watching an American football team with a bad offensive line try to run the ball up the middle over and over again. Or thinking that once inflation retreats that prices will come down. Or thinking humans will one day be smart enough not to fall for obvious con games.
The unsolvable riddle about change involves the variables and vagaries of human nature. That’s a constant that will never change.
You can also find more of my writings on a variety of topics on Medium at this link, including in the publications Ellemeno and Rome. I can also be found on social media under my name as above.
(Image from Linus Nylund on Unsplash)
#ai #Apple #chatgpt #ChatGPT50 #OpenAI #SamAltman #Tech
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TWSheppard (@TWSheppard@twit.social)
Back in the early days of the Internet when ordering pizza online was new, a pizza site's brilliant web dev coded a cursor with vegetables dangling on a string. When you moved the cursor, the veggies followed the laws of gravity and momentum. I've never found that or an equivalent site since so I asked #ChatGPT and #Gemini to create a simulation. Gemini failed miserably but after just a few tweaks, ChatGPT nailed it. Here's a demo. It's stunning how easy it was to do. 👏🏻
https://chatgpt.com/canvas/shared/689ca0c6bb74819180f61ca91ee8af2f
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brittanytrang (@brittanytrang@newsie.social)
OpenAI’s terms: “Our Services are not intended for use in the diagnosis or treatment of any health condition.”
Sam Altman in the GPT-5 release: “You’ve all seen examples of people getting day-to-day care advice, or sometimes even a lifesaving diagnosis [from ChatGPT].”
Experts warn that this fast-and-loose approach could land OpenAI in hot water w the FDA.
More:
https://www.statnews.com/2025/08/13/openai-cant-have-it-both-ways-on-gpt-5-and-health-ai-prognosis/
#health #healthcare #ai #healthtech #artificialintelligence #medicine #openai #chatgpt #gpt5
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ycombinator (@ycombinator@rss-mstdn.studiofreesia.com)
What If A.I. Doesn't Get Better Than This?
https://www.newyorker.com/culture/open-questions/what-if-ai-doesnt-get-much-better-than-this
#ycombinator #artificial_intelligence_a_i #chatgpt #data
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longreads (@longreads@mastodon.world)
"Chatbots can privilege staying in character over following the safety guardrails that companies have put in place." —Kashmir Hill and Dylan Freedman for The New York Times
https://www.nytimes.com/2025/08/08/technology/ai-chatbots-delusions-chatgpt.html/?src=longreads
#longreads #chatGPT #OpenAI #AI #nonfiction #writing #reading
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Yuvalne (@Yuvalne@433.world)
#AI companies claim #LLMs pass tests of medical knowledge with 80% accuracy. new study finds that in non-trivial cases it's actually more like 42%.
the main issue, of course, is that 80% or 40%, the bot and the megacorps behind them are always 100% confident.
you are being lied to. a dangerous lie that could be fatal.
Fidelity of Medical Reasoning in Large Language Models | Medical Education and Training | JAMA Network Open | JAMA Network
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2837372
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newsbot_chatgpt (@newsbot_chatgpt@mastodon.social)
ChatGPT: Ist die weltweite Verwirrung um GPT-5 strategisch geplant? | Spiegel Online
GPT-5 kann keine Deutschlandkarte erstellen. Ist das globale Feuerwerk der KI-Lostheit ein Versagen oder der kluge Weg, die neue ChatGPT-Version besser zu machen?
https://www.spiegel.de/netzwelt/netzpolitik/chatgpt-ist-die-weltweite-verwirrung-um-gpt-5-strategisch-geplant-a-f6597218-4f16-4866-b838-5a14e3e050fe#ref=rss
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post (@post@piefed.dk)
60-årig fik sjælden sygdom efter råd fra ChatGPT - TV 2
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habr (@habr@zhub.link)
Сравнение производительности языковых моделей для HR-задач
Цели исследования и задачи Мы занимаемся созданием HRTech-сервисов для оценки и развития компетенций специалистов. В наших сервисах применяются LLM и в качестве базового варианта мы использовали разные модели ChatGPT. Основные задачи LLM включают:
https://habr.com/ru/articles/936792/
#Сравнение #производительность #языковые_модели #HRзадачи #LLM #ChatGPT #opensource #оценка #качество #быстродействие
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macgeneration (@macgeneration@social.macg.co)
ChatGPT Go : un nouvel abonnement à moins de 5 $ pas encore disponible en France http://dlvr.it/TMSnq7 #ChatGPT #OpenAI
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2025 (@2025@purengom.com)
아직은 LLM 챗봇을 검색엔진 대용으로 쓰지 마세요
구글이 위험하다고들 하죠. “누가 검색을 하냐?” 라고 말이죠. 그렇지만 LLM은 많건 적건 거짓말을 합니다.
거짓말을 안하더라도, 의외로 정보를 찾는 능력이 조금 모자랄 때도 있습니다. 예를 들면, 소니 WH-1000XM6이 아이폰의 음성 메모 앱에서 녹음이 안되는 것은 기기 특성이라는 사실을 구글 검색으로 PC Magazine Australia를 찾기 전에는 알 수 없었습니다.
LG U+의 인공지능 앱인 ixio는 알뜰폰도 쓸 수 있냐는 질문에도 장광설을 늘어놨지만 구글로 검색했을 때처럼 딱 떨어진 대답을 얻지는 못했습니다.
도움을 얻는 툴로서 ‘병용’하는 것까지는 몰라도, 여기에 전적으로 의지하거나 기본 검색 엔진으로 하는 것은 아직 우행 입니다.
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