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- AI Has Reached The Data Limit Of The Internet š
AI Has Reached The Data Limit Of The Internet š
Misuse Of AI Causing Chaos, AI Replacing Humans, and more...
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AI Has Reach The Data Limits Of The Internet
Misuse Of AI Is Causing Chaos
AI Can Replace The Work of 700 Humans
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Making AI Forgetful Can Save On Costs
Researchers from Sakana AI have created a new technique that teaches LLMs to be selective about what they remember, helping models forget the fluff and focus on the essentials, cutting compute costs by up to 75%.
Why Feeding AI Fake Data Will Break Everything
AI is strugglingānot because itās lazy, but because itās underfed with real, human-generated data. The overuse of synthetic data is pushing models into a downward spiral called 'model collapse.'
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Data Hungry
AI Has Reached The Limit Of The Internetās Data š¤Æ
AI might have a new problem: itās running out of stuff to learn from.
OpenAI co-founder Ilya Sutskever says the field may be nearing 'peak data,' as the internet only holds so much usable information. Sutskever compared training data to fossil fuelsāfinite and increasingly tough to dig up. With traditional pre-training techniques struggling to scale, the AI industry is exploring alternatives like synthetic data and extra computing power during AI system use.
Future AI might think more independently, which sounds coolāuntil you realize that big brains might also mean bigger surprises (and unpredictability).
Have we taken it too far?
Human Misuse Of AI Is Causing Chaos š„²
Forget worrying about sentient robots plotting world dominationāthe real problem with AI is very human.
In 2025, the biggest risks wonāt come from artificial superintelligence, but from how people misuse AI. Lawyers are getting sanctioned for citing fake AI-generated cases, while deepfakes sow distrust and confusion in everything from politics to pop culture. Companies slap āAIā on flawed tools, which can have devastating real-world consequences, like wrongful fraud accusations in the Netherlands.
The biggest threat from AI is ultimately how we handle itāor fail to. We have to get smarter before things spiral furtherā¦ š
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Forced Resignation
Klarnaās CEO Says AI Can Replace The Work of 700 Humans š¤
With an AI assistant that allegedly replaces the work of 700 employees, Siemiatkowski is also incentivizing the remaining staff with salary bumps tied to efficiency gains. He even created an AI version of himself to present earnings updates, though the results were more 'uncanny valley' than 'tech revolution.'
Klarnaās earnings have risen, and many companies are likely to follow in itās footsteps.
Trending Now
Everything Else You Need To Know š
Grok 2 Is Stepping Up Toe-to-Toe With o1-preview and Claude 3.5 Sonnet: xAI has upgraded Grok, and the new version, Grok-2, is showing serious improvements. Itās three times faster, better at understanding prompts, and now pulls info from X posts and external sites, complete with source citations.
BBC Calls Out AI's Headline Fail: Apple's AI notification summaries are under fire for butchering headlines, including a BBC story on United Healthcare shooter it massively misinterpreted. Turns out AI's summarization skills might need a little extra work.
Meta Calls Out OpenAI's For-Profit Plans: Meta has sent a letter to Californiaās AG asking for an investigation into OpenAIās shift from a nonprofit to for-profit, claiming OpenAI was originally founded to develop AI without profit motives but later used its nonprofit status to raise funds before flipping the script.
How AI Will Reshape Work Structures: The old hierarchical company structure is soon to change. In 2025, forward-thinking companies will embrace agentic AI, creating revolutionary ways to combine human effort and AI for unprecedented efficiency and innovation.
For the Nerds - Meta Is Making An AI BLT, And Itās Kosher: Metaās Byte Latent Transformer (BLT) ditches tokens to work directly with bytesāmaking AI smarter about letters, rare text patterns, and noisy input. Itās a big leap toward better, more flexible AI systems.
Meta's Byte Latent Transformer (BLT) paper looks like the real-deal. Outperforming tokenization models even up to their tested 8B param model size.
2025 may be the year we say goodbye to tokenization.
ā Dimitri Zhorzholiani (@dimitrizho)
5:49 AM ā¢ Dec 14, 2024
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