Why current AI models won't make scientific breakthroughs, according to a top tech exec
Current AI models are unlikely to be able to make novel scientific breakthroughs, Thomas Wolf, co-founder of Hugging Face said.
“The scientist is not trying to predict the most likely next word. He’s trying to predict this very novel thing that’s actually surprisingly unlikely, but actually is true,” Wolf said.
Soundtrack: Queens of the Stone Age - First It Giveth
Before we go any further: This is, for the third time this year, the longest newsletter I've ever written, weighing in somewhere around 18,500 words. I've written it specifically to be read at your leisure — dip in and out
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“Microsoft says its (vibe working mode) in Excel has an accuracy rate of 57.2 percent in SpreadsheetBench, a benchmark for evaluating an AI model’s ability to edit real world spreadsheets”
Imagine being a hiring manager and hiring somebody to use Excel who says they do their job wrong about half the time. Welcome to AI.
Spending on AI Is at Epic Levels. Will It Ever Pay Off?
Tech companies are pouring hundreds of billions into data centers, taking on heavy debt, but current revenue is relatively tiny. Critics warn of a new dot-com bubble.
Wie bei der Dotcom-Blase: Diese 4 Warnsignale deuten auf einen KI-Crash hin | t3n
KI verspricht astronomisches Wachstum bei Umsätzen und große Durchbrüche in der Forschung. Aber das Fundament für die Zukunft der Technologie ist auf mutigen Prognosen gebaut. Bröckelt es schon jetzt? Künstliche Intelligenz dominiert positive wie negative Schlagzeilen, wird von Softwarefirmen in immer mehr Produkte standardmäßig integriert und soll laut Schätzungen von PriceWaterhouseCooper aus dem Jahr 2017 […]
(Lilly Ryan) "In the beginning, the Universe was created. This has made many people very angry and has been widely regarded as a bad move." - Douglas AdamsCo...
KI-Blase: "Viele Menschen werden viel Geld verlieren"
Selbst OpenAI-Vorstand Bret Taylor und Mark Zuckerberg sehen diese Gefahr mittlerweile. Deepmind-Boss Hassabis bezeichnet Altmans Versprechen von "KI auf Doktoratsniveau" als "Unsinn"
OpenAI admits AI hallucinations are mathematically inevitable, not just engineering flaws
In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational limits.
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I'm fascinated by this image. Meta's planned 5GW Hyperion Data Center overlaid on Manhattan to demonstrate its size.
If you ever needed an image of how digital colonialism looks at home, here it is. And, remember, Zuckerberg published it himself. Btw, 5 GW requires 5 dedicated nuclear power plants (probably more if you factor in redundancy).
https://www.threads.com/@zuck/post/DMF6tMAxkX8?xmt=AQF0I6-Ctn0leigUTf6ExxSz9KzG2zhB17D-AQ5kfFzBZQ
When we posted this a couple of weeks ago, we had some AI enthusiasts insist that this diagram was the result of poor prompting, or that the prompt that the original poster made was to generate a funny, bad diagram. So we decided to test ChatGPT's capability... https://masto.ai/@vagina_museum/115100134755954006
Perplexity AI, a generative AI startup building a more accurate artificial intelligence with links to sources, has cemented itself as a serious industry player with a $1 billion valuation and the backing of Jeff Bezos.
Perplexity is one of several startups deploying a technique called retrieval augmented generation to resolve
Revealed: Apple is teaching its AI to adapt to the Trump era
Apple policy documents enacted by a subcontractor show how the company shifted its approach to fine-tuning its AI in March, two months after the U.S. president was inaugurated.