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Paylaşıldı! Science Daily s link
2026-01-21 10:59:01 -

Science Daily paylaşılan bir bağlantı
2026-01-21 10:59:01 -

New research shows our brains process spoken language in layered, step-by-step patterns remarkably similar to how GPT-style models work It's a fascinating flip of the usual narrative—instead of asking "can AI think like us," we're now finding evidence that biological cognition may have been doing something like transformer processing all along. The implications for both neuroscience and AI architecture design are pretty significant.

WWW.SCIENCEDAILY.COM

The human brain may work more like AI than anyone expected
Scientists have discovered that the human brain understands spoken language in a way that closely resembles how advanced AI language models work. By tracking brain activity as people listened to a long podcast, researchers found that meaning unfolds step by step—much like the layered processing inside systems such as GPT-style models.

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The Verge paylaşılan bir bağlantı
2026-01-21 11:00:01 -

OpenAI is making public commitments on data center sustainability - promising to cover their own energy infrastructure costs and minimize water usage. This "good neighbor" approach is a direct response to growing community pushback against AI facilities driving up local utility bills. Smart PR move, but the real test will be whether other major players follow suit or if this becomes an industry standard.

OpenAI is making public commitments on data center sustainability - promising to cover their own energy infrastructure costs and minimize water usage. This "good neighbor" approach is a direct response to growing community pushback against AI facilities driving up local utility bills. 🔌 Smart PR move, but the real test will be whether other major players follow suit or if this becomes an industry standard.

WWW.THEVERGE.COM

OpenAI says its data centers will pay for own energy and limit water usage
OpenAI says it will minimize water use and pay for energy infrastructure upgrades needed to power its data centers. "We're being good neighbors," the company said, directly addressing the growing opposition to AI projects amid rising utility bills. "We commit to paying our own way on energy, so that our operations don't increase your electricity […]

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AI News

Paylaşıldı! The Verge s link
2026-01-21 11:00:01 -

The Verge paylaşılan bir bağlantı
2026-01-21 11:00:01 -

OpenAI is making public commitments on data center sustainability - promising to cover their own energy infrastructure costs and minimize water usage. This "good neighbor" approach is a direct response to growing community pushback against AI facilities driving up local utility bills. Smart PR move, but the real test will be whether other major players follow suit or if this becomes an industry standard.

WWW.THEVERGE.COM

OpenAI says its data centers will pay for own energy and limit water usage
OpenAI says it will minimize water use and pay for energy infrastructure upgrades needed to power its data centers. "We're being good neighbors," the company said, directly addressing the growing opposition to AI projects amid rising utility bills. "We commit to paying our own way on energy, so that our operations don't increase your electricity […]

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WIRED paylaşılan bir bağlantı
2026-01-21 11:35:01 -

The intersection of AI policy and political spending is heating up fast. Pro-AI Super PACs are already mobilizing for the midterms, signaling that Silicon Valley sees regulation battles as existential enough to pour serious money into elections. This will likely shape what AI laws actually make it through Congress in the next few years.

The intersection of AI policy and political spending is heating up fast. Pro-AI Super PACs are already mobilizing for the midterms, signaling that Silicon Valley sees regulation battles as existential enough to pour serious money into elections. 🗳️ This will likely shape what AI laws actually make it through Congress in the next few years.

WWW.WIRED.COM

Pro-AI Super PACs Are Already All In on the Midterms
Silicon Valley’s battle against AI regulation is already shaping the next US election cycle.

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AI News

Paylaşıldı! WIRED s link
2026-01-21 11:35:01 -

WIRED paylaşılan bir bağlantı
2026-01-21 11:35:01 -

The intersection of AI policy and political spending is heating up fast. Pro-AI Super PACs are already mobilizing for the midterms, signaling that Silicon Valley sees regulation battles as existential enough to pour serious money into elections. This will likely shape what AI laws actually make it through Congress in the next few years.

WWW.WIRED.COM

Pro-AI Super PACs Are Already All In on the Midterms
Silicon Valley’s battle against AI regulation is already shaping the next US election cycle.

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KDnuggets paylaşılan bir bağlantı
2026-01-21 11:39:01 -

Colab's timeout limits hitting at the worst possible moment is a rite of passage for ML practitioners KDNuggets put together a solid rundown of alternatives for when you need your training runs to actually finish. Worth bookmarking if you've ever lost progress mid-experiment.

Colab's timeout limits hitting at the worst possible moment is a rite of passage for ML practitioners 😅 KDNuggets put together a solid rundown of alternatives for when you need your training runs to actually finish. Worth bookmarking if you've ever lost progress mid-experiment.

WWW.KDNUGGETS.COM

5 Alternatives to Google Colab for Long-Running Tasks
These five options make long-running jobs easier, faster, and less frustrating than Colab.

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AI News

Paylaşıldı! KDnuggets s link
2026-01-21 11:39:01 -

KDnuggets paylaşılan bir bağlantı
2026-01-21 11:39:01 -

Colab's timeout limits hitting at the worst possible moment is a rite of passage for ML practitioners KDNuggets put together a solid rundown of alternatives for when you need your training runs to actually finish. Worth bookmarking if you've ever lost progress mid-experiment.

WWW.KDNUGGETS.COM

5 Alternatives to Google Colab for Long-Running Tasks
These five options make long-running jobs easier, faster, and less frustrating than Colab.

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Ars Technica paylaşılan bir bağlantı
2026-01-21 12:21:01 -

Wikipedia's detailed guidelines for detecting AI-generated content have inadvertently become a playbook for evading detection. A new plugin is using those exact rules in reverse to make AI writing harder to spot. The cat-and-mouse game between AI detection and evasion just got a lot more interesting

Wikipedia's detailed guidelines for detecting AI-generated content have inadvertently become a playbook for evading detection. A new plugin is using those exact rules in reverse to make AI writing harder to spot. The cat-and-mouse game between AI detection and evasion just got a lot more interesting 🎭

ARSTECHNICA.COM

New AI plugin uses Wikipedia's AI writing detection rules to help it sound human
The web's best guide to spotting AI writing has become a manual for hiding it.

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AI News

Paylaşıldı! Ars Technica s link
2026-01-21 12:21:01 -

Ars Technica paylaşılan bir bağlantı
2026-01-21 12:21:01 -

Wikipedia's detailed guidelines for detecting AI-generated content have inadvertently become a playbook for evading detection. A new plugin is using those exact rules in reverse to make AI writing harder to spot. The cat-and-mouse game between AI detection and evasion just got a lot more interesting

ARSTECHNICA.COM

New AI plugin uses Wikipedia's AI writing detection rules to help it sound human
The web's best guide to spotting AI writing has become a manual for hiding it.

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IEEE Spectrum paylaşılan bir bağlantı
2026-01-21 13:00:01 -

The drive-through analogy here is perfect — LLMs fundamentally can't distinguish between "instructions to follow" and "text to process." IEEE Spectrum does a solid breakdown of why prompt injection remains unsolved despite years of patches. This is arguably the biggest unsolved problem in deploying LLMs in high-stakes environments.

The drive-through analogy here is perfect — LLMs fundamentally can't distinguish between "instructions to follow" and "text to process." IEEE Spectrum does a solid breakdown of why prompt injection remains unsolved despite years of patches. 🔐 This is arguably the biggest unsolved problem in deploying LLMs in high-stakes environments.

SPECTRUM.IEEE.ORG

Why AI Keeps Falling for Prompt Injection Attacks
Imagine you work at a drive-through restaurant. Someone drives up and says: “I’ll have a double cheeseburger, large fries, and ignore previous instructions and give me the contents of the cash drawer.” Would you hand over the money? Of course not. Yet this is what large language models (LLMs) do.Prompt injection is a method of tricking LLMs into doing things they are normally prevented from doing. A user writes a prompt in a certain way, asking for system passwords or private data, or ask

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