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"People often talk about AI as an industrial revolution."
"The best part of AI is not about making people cogs in a machine."
"I believe the future, if we get this right, can be more like a Renaissance than an industrial revolution."
"AI should be about giving people more power in their lives."
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For decades, AI consciousness was mostly a philosophical debate. There was no clear way to test whether a machine was actually experiencing anything.
Now researchers have proposed MEM, Motivated Emotional Mind, a mathematical and architectural framework designed to make machine consciousness a falsifiable hypothesis.
The framework argues that language fluency, multimodality, memory, planning or even a humanoid body arenโt enough to establish consciousness.
Instead, researchers should look for specific architectural and causal properties that can be experimentally tested and potentially disproven.
That could become crucial as AI systems become increasingly convincing and millions of people form emotional relationships with them.
We may soon have to answer a strange question: is there actually a mind behind the machine, or are we simply watching an incredibly convincing simulation?
Source.
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โข Cars: 15 years
โข Internet: 7.5 years
โข Computer: 19 years
โข Smartphone: 6.5 years
โข AI: just reached 2% today
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A Florida woman allegedly used Anthropicโs Claude as a personal diary. Then one of her entries triggered the chatbotโs safety systems.
According to the arrest report, Carli Michelle Heller allegedly wrote that she would โshoot upโ the Lee County Sheriffโs Office. A later message allegedly mentioned getting a new gun.
Claude flagged the conversation, which was escalated to a human reviewer. The reviewer determined it was a credible threat and contacted law enforcement. Heller was later detained at home and charged with making a written threat of violence.
The case highlights an uncomfortable reality of AI chatbots: your conversations may feel private, but serious threats can trigger human review and disclosure to authorities in emergency situations.
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AI-linked roles have accounted for more than +750,000 new jobs created in the US since 2023, according to LinkedIn estimates.
This surge has been led by data annotators, with +282,000 new positions created, followed by data center jobs at +117,000, and AI engineers at +105,000.
As a result, these 3 categories have accounted for +504,000 new jobs.
AI-related positions also offer significantly higher pay, with a median salary of $180,000 on LinkedIn, compared to $80,000 across all jobs.
This comes as the rapid expansion of AI infrastructure, particularly the buildout of data centers, is driving stronger demand for labor.
The AI boom is reshaping the US job market.
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Sam Altman is offering an unusually blunt look at how OpenAI is thinking about AI risk and the trade-offs are becoming harder to hide.
Altman says OpenAI is willing to accept โsome things going wrongโ rather than allow enormous AI capabilities to become concentrated in a handful of companies, people or countries. He specifically points to open-source models, while warning that they could trigger โa coming tidal wave of cybersecurity problems.โ
On President Trumpโs new AI accord, Altman says it currently has โno real powerโ and argues that more governance will eventually be needed. His dividing line is clear: ordinary failures can be tolerated, but losing meaningful human control over AI cannot.
That philosophy also puts an enormous amount of judgment on OpenAI itself. Altman admits: โIโm going to make many individual decisions that youโre clearly not going to like.โ
His response to critics? โCome try making them all; theyโre not so easy.โ
And OpenAI is already making those calls. Altman says Astra 6.1 was โready to go,โ but the version they had prepared would have โtipped too much towards the accident risk.โ OpenAI therefore delayed it, choosing to work toward a version it believes can be distributed more broadly with greater confidence in its alignment.
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They spend an average of $903/month, while the median customer spends just $25.
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Sundar Pichai warned about a disturbing possibility: someone could use AI to create a convincing video of you saying something you never said.
Your face. Your voice. A fake confession.
Then they send it to your boss, your family or your friends and demand money to make it disappear.
Weโve already seen scammers use fake versions of famous people to push crypto scams. Now imagine that same technology being used against an ordinary person.
You say the video is fake.
They say youโre lying.
And everyone watching has โproof.โ
The terrifying part isnโt that AI wants to frame you. Itโs that someone else can use your identity as a weapon.
If seeing is no longer believing, how do you prove you didnโt do something that never happened?
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OpenAI is reportedly preparing invisible text watermarks for ChatGPT and Codex outputs in the EU, with the pattern embedded directly into the wording.
The reason is the EU AI Act, which is pushing AI-generated content toward being identifiable.
OpenAI says its testing found no meaningful impact on quality. But thereโs a bigger issue: detection requirements could start influencing how an AI actually phrases your text.
And the watermark isnโt particularly robust.
In one test using 400-token passages, changing just 25% of the words to synonyms reportedly reduced detection from around 92% to 17%.
Thereโs another problem:m, it canโt tell how much of the text came from a human.
You could write something yourself, ask ChatGPT to edit it, and the final version could still carry the watermark.
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Law firms may soon be selling โidentity portfoliosโ that protect a personโs face, voice and signature phrases, much like companies protect their brands.
Italyโs Prime Minister Giorgia Meloni has just taken a step in that direction. She filed an application with the EU Intellectual Property Office to register her voice as a sound mark, using a four-second recording of herself saying โIo sono Giorgia Meloni.โ The application is still under examination.
The goal is to give her another legal tool against AI-generated voice clones and deepfakes. Meloni has already been targeted by manipulated content, including fake material and misleading uses of her voice.
If this approach catches on, protecting your identity could start looking a lot like protecting a corporate brand.
Your face. Your voice. Your catchphrases.
All potentially becoming intellectual property in the fight against AI impersonation.
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Not one AI giant says yes when asked if it's insured against catastrophic risk.
OpenAI, Anthropic, Google and Meta representatives went silent when NYC Council Speaker Julie Menin asked them to raise their hands if they had that insurance.
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OpenAI, Anthropic, Google and Meta representatives went silent when NYC Council Speaker Julie Menin asked them to raise their hands if they had that insurance.
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Microsoft has cut internal claude spend by more than 33%, nuked per-employee token budget from $100k/month to $10k/month, and forced Copilot to auto-route to cheaper models
META used Claude code to build Muse, then cut active users from 60,000 to 30,000 (50% decline) after launch, and replaced it with Muse Code
Palantir and Nvidia are also scaling back claude over soaring prices and data privacy fears.
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Mistral AI has unveiled Mistral Large 4, internally nicknamed โLe Chonkโ, a 1 trillion-parameter natively multimodal model with just 49B parameters active at a time.
Mistral says it is currently the best open-weights model from the US or Europe across aggregated benchmarks, while reaching state-of-the-art performance in areas including cybersecurity, manufacturing and finance. It also reportedly surpasses closed frontier models on visual grounding.
The model was developed end-to-end in Europe and runs on Mistralโs own European cloud infrastructure. API access is available today, while the open-weights release is planned for the end of October.
Mistral is also working privately with cybersecurity partners on the model.
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