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Citizen X.

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Politics @beehaw.org

US: Don’t Send Migrants to the Black Hole of Guantánamo.

Canada @lemmy.ca

Cenovus Funded ‘Grassroots’ Groups That Oppose Climate Laws, Document Reveals.

Politics @beehaw.org

Mass deportation is likely bad for housing prices.

A new study concludes mass deportation of undocumented immigrants would drain the construction workforce, significantly slowing an already sluggish rate of new residential construction.

Antiwork @slrpnk.net

Months after indefinite strike, Samsung workers in India register their union.

Videos @sopuli.xyz

Town Hall Audience Member - Key & Peele

Science @mander.xyz

Cold induces brain region-selective cell activity-dependent lipid metabolism.

World News @quokk.au

Finnish Car sales fall to '90s recession levels.

Economic uncertainty is reflected in cautiousness about investing in new cars, according to Outi Ampuja of the Finnish Transport and Communications Agency (Traficom).

Science @mander.xyz

Tackling hate speech online: The effect of counter-speech on subsequent bystander behavioral intentions.

::: spoiler Abstract

Counter-speech is considered a promising tool to address hate speech online, notably, by promoting bystander reactions that could attenuate the prevalence or further dissemination of hate. However, it remains unclear which types of counter-speech are most effective in attaining these goals and which might backfire. Advancing the literature, we examined the effect of four types of counter-speech (i.e., educating the perpetrator, calling on others to intervene, diverting the conversation, and abusing the perpetrator) on a range of bystander behavioral intentions in an experimental study (N = 250, UK-based adults). Overall, counter-speech did not affect bystanders’ subsequent responses to hate speech. Having said this, as expected, diversionary counter-speech increased intentions to ignore hate speech, which suggests unintended consequences. The study illustrates that counter-speech may not be sufficiently impactful in regulating bystanders’ reactions to hate speech

Space @beehaw.org

How did supermassive black holes form?

An astronomer analyzed ancient supermassive black holes with mathematical models and found they likely grew exponentially after light, intermediate, and heavy seed stars merged.

Technology @lemmy.zip

DeepSeek’s Emergence Shows the Power Sector’s AI Dreams May Not Proceed as Expected.

The Chinese AI company roiled financial markets and showed the road to growth in electricity demand may be bumpy.

Technology @lemmy.zip

International AI Safety Report 2025.

A report on the state of advanced AI capabilities and risks – written by 100 AI experts including representatives nominated by 33 countries and intergovernmental organisations.

Political Memes @lemmy.ca

In the blink of an AI.

DeepSeek, an open-source artificial intelligence app founded by a tech entrepreneur with close ties to the Chinese government, knocked a US$1 trillion-sized hole in an AI-fueled rally on global stock markets this week when it topped app charts ahead of U.S.-rival ChatGPT.

The fresh challenge to U.S. dominance in the sector comes from a firm at the core of the Chinese government’s vision for an economic recovery driven by high-tech innovation.

Technology @lemmy.zip

Protect Your Privacy on Bumble.

www.eff.org Protect Your Privacy on Bumble

Late last year, Bumble finally rolled out its updated privacy policy after a coalition of twelve digital rights, LGBTQ+, human rights, and gender justice civil society organizations launched a campaign demanding stronger data protections.Unfortunately, the company, like other dating apps, has not...

Protect Your Privacy on Bumble
Canada @lemmy.ca

‘Canada has destroyed me’: Labour exploitation of migrant workers in Canada.

Technology @lemmy.zip

Cities need to get ahead of autonomous delivery robots.

Before problems escalate, a pre-emptive framework must prioritize safety and the concerns of pedestrians, cyclists, and people with disabilities.

Political Memes @lemmy.ca

Smaller

Technology @lemmy.zip

Sony Kills Recordable Blu-Ray And Other Vintage Media.

News @lemmy.world

Telehealth Companies Boost Ad Spending While Taking on More Complex Medicine.

News @lemmy.world

Migrant Vendors Park Carts as Their American Dreams Slip Away.

Enforcement was already on the rise before Trump’s inauguration. Now street sellers are avoiding any risk of getting a criminal ticket that could make them ICE targets.

politics @lemmy.world

Trump’s Deportations Will Hit American Workers, Too.

  • Here is a interesting quote from the article:

    "How The Hell Is This So Much Cheaper?

    That's a bloody good question, and because I'm me, I have a hypothesis: I do not believe that the companies making foundation models (such as OpenAI and Anthropic) have been incentivized to do more with less, and because their chummy relationships with hyperscalers were focused almost entirely on "make the biggest, most hugest models possible, using the biggest, most hugest chips," and because the absence of profitability didn’t stop them from raising more money, efficiency was never a major problem for them.

    Let me put it in simpler terms: imagine living on $1,500 a month, and then imagine how you'd live on $150,000 a month, and you have to, Brewster's Millions style, spend as much of it as you can to complete the mission of "live your life." In the former example, your concern is survival — you have a limited amount of money and must make it go as far as possible, with real sacrifices to be made with every dollar you spend. In the latter, you're incentivized to splurge, to lean into excess, to pursue a vague remit of "living" your life. Your actions are dictated not by any existential threats — or indeed future planning — but by whatever you perceive to be an opportunity to "live."

    OpenAI and Anthropic are emblematic of what happens when survival takes a backseat to “living.” They have been incentivized by frothy venture capital and public markets desperate for the next big growth market to build bigger models and sell even bigger dreams, like Dario Amodei of Anthropic saying that your AI "could surpass almost all humans at almost everything" "shortly after 2027." Both OpenAI and Anthropic have effectively lived their existence with the infinite money cheat from The Sims, with both companies bleeding billions of dollars a year after revenue and still operating as if the money will never run out. If they were worried about it, they would have certainly tried to do what DeepSeek has done, except they didn't have to, because both of them had endless cash and access to GPUs from either Microsoft, Amazon or Google.

    OpenAI and Anthropic have never been made to sweat, receiving endless amounts of free marketing from a tech and business media happy to print whatever vapid bullshit they spout, raising money at will (Anthropic is currently raising another $2 billion, valuing the company at $60 billion), all off of a narrative of "we need more money than any company has ever needed before because the things we're doing have to cost this much.""

  • I believe they are least biased and very reliable.

    Bias: Middle

    Reliability: Reliable, Analysis/Fact Reporting

    Bias Rating: LEAST BIASED (-0.8)

    Factual Reporting: HIGH (1.0)

    Country: USA

    MBFC’s Country Freedom Rank: MOSTLY FREE

    Media Type: Radio Station

    Traffic/Popularity: High Traffic

    MBFC Credibility Rating: HIGH CREDIBILITY

  • After understanding your opinion, your comment seem to be reasonable but was put with bad presentation, imo.

    I think being cautious might be a good point here. We are very early here and we will definitely see a better benchmarks for this model as the time pass. Which will prove or disapprove their benchmarks.

  • The title is "how a small Chinese AI company is shaking up US tech heavyweights."

    I am not saying that this criticism is not valid, what I was arguing for here is that the best USA LLM is also censored in comparsion, so the fact that we got something opensource that we can uncensor is better than ChatGPT closed and censored model.

    As far as I know, the only used LLM family that is uncensored and can function locally is Mistral AI models.

    To put it simply, DeepSeek could be decensored. But it will take time to do so.