Tag: starts

  • Using cannabis to cope with anxiety or depression? You may be at higher risk of paranoia, study says

    Using cannabis to cope with anxiety or depression? You may be at higher risk of paranoia, study says

    People who start using cannabis to self-medicate are more likely to be heavy users than those who use the drug socially or for fun, a study has found.

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    People who start using cannabis to cope with physical or mental health problems are more likely to experience severe paranoia, a new study has found.
    Many of these people also report depression and anxiety symptoms at levels that would normally see them referred to counselling, according to the study, which was published in the BMJ Mental Health journal.

    The findings indicate “the reason someone first starts using cannabis can dramatically impact their long-term health,” Dr Edoardo Spinazzola, one of the study’s authors and a researcher studying the link between cannabis and psychosis at King’s College London, said in a statement.
    Spinazzola’s team tracked nearly 3,400 UK adults’ average weekly consumption of delta-9-tetrahydrocannabinol (THC), which is the main psychoactive compound in cannabis that makes people feel “high”.
    The average respondent consumed 206 units of THC per week, equivalent to roughly 10 to 17 “joints,” the researchers said. But that level was much higher among people who started using cannabis to help manage anxiety or depression, to about 248 and 255 units, respectively.

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    People who used cannabis to self-medicate also reported more paranoia symptoms than people who tried the drug for fun, curiosity, or with their friends.

    The findings are the latest to connect cannabis use to poor mental health.
    In another recent study using the same dataset, researchers found that people who had experienced physical or emotional abuse as children were more likely to be paranoid as adults – and that cannabis use made that link stronger.
    There is “a clear association between trauma and future paranoia,” Dr Giulia Trotta, a psychiatrist and researcher at King’s College London who worked on the study, said in a statement.
    The findings indicate “cannabis use can further exacerbate the effects of this, depending on what form the trauma takes,” Trotta added.

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    CBD is becoming more popular. But even low doses may harm some people’s health, researchers warn

    Earlier this week, a separate study in the United States found that using highly potent cannabis products – such as edibles or concentrates for vapes – raises the risk of serious mental health conditions such as psychosis, schizophrenia, and addiction.
    The researchers behind the latest study said that doctors should ask their patients why they started using cannabis as a way to identify whether they could benefit from additional support. That could help prevent people from sliding into “potentially disabling” paranoia or mental health problems, they said.
    Dr Emily Finch, chair of the UK’s Royal College of Psychiatrists’ Addiction Faculty, said the findings underscore that “cannabis can have significant adverse effects on users’ mental health”. 
    “Society must be more aware of the substantial evidence on cannabis harms, and correct the widespread misapprehension that cannabis is not an addictive substance,” Finch, who was not involved with the study, said in a statement.

  • OpenAI priced GPT-5 so low, it may spark a price war

    OpenAI astounded the tech industry for the second time this week by launching its newest flagship model, GPT-5, just days after releasing two new freely available models under an open source license.

    OpenAI CEO Sam Altman went so far as to call GPT-5 “the best model in the world.” That may be pride or hyperbole, as TechCrunch’s Maxwell Zeff reports that GPT-5 only slightly outperforms other leading AI models from Anthropic, Google DeepMind, and xAI on some key benchmarks, and slightly lags on others.

    Still, it’s a model that performs well for a wide variety of uses, particularly coding. And, as Altman pointed out, one area where it is undoubtedly competing well is price. “Very happy with the pricing we are able to deliver!” he tweeted.

    The top-level GPT-5 API costs $1.25 per 1 million tokens of input, and $10 per 1 million tokens for output (plus $0.125 per 1 million tokens for cached input). This pricing mirrors Google’s Gemini 2.5 Pro basic subscription, which is also popular for coding-related tasks. Google, however, charges more if inputs/outputs cross a heavy threshold of 200,000 prompts, meaning its most consumption-heavy customers end up paying more.

    But OpenAI is really undercutting Anthropic’s Claude Opus 4.1, which starts at $15 per 1 million input tokens and $75 per 1 million output tokens. (Anthropic does, however, offer big discounts for prompt caching and batch processing — storing/reusing prompts and processing multiple requests together.)

    Anthropic’s model has been extremely popular among programmers, both as a choice within popular coding assistant Cursor and for powering its own such assistant, Claude Code. (Note that Cursor offered GPT-5 as an option minutes after it was announced.)

    Developers who have had early access to GPT-5 are touting the pricing. Simon Willison, one of the developers featured in OpenAI’s launch video, writes in his review: “The pricing is aggressively competitive with other providers.”

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    But GPT-5 is also priced competitively with GPT-4o. OthersideAI’s co-founder and CEO, Matt Shumer (maker of HyperWrite), writes that GPT-5 “is cheaper than GPT-4o, which is fantastic. Intelligence per dollar continues to increase.”

    Some on X called OpenAI’s fees for the model “a pricing killer,” while others on Hacker News are offering similar praise.

    Will competitors like Anthropic follow? Will Google — who undercut OpenAI on pricing before — get even more affordable? If so, we could be witnessing the start of a much-awaited LLM price war.

    There’s no doubt a price war would be welcome. The underlying economics of vibe-coding tool providers, for instance, is pretty shaky because of the high and unpredictable fees they have to pay model makers, as TechCrunch’s Marina Temkin reports. And there are countless startups building on top of AI models as well.

    Silicon Valley has been hoping that the LLM price-to-performance ratio will eventually improve, along with inference costs. But it seemed like such an equalization could be years away as the tech industry invests hundreds of billions to build data centers and infrastructure to support growing AI demand. 

    OpenAI itself has a $30 billion-per-year contract with Oracle for capacity, when it only recently hit annual recurring revenue of $10 billion. Meanwhile, Meta plans to spend up to $72 billion on AI infrastructure in 2025, and Alphabet has set aside $85 billion for capital expenditures in 2025, driven by AI needs. In the face of such enormous expenses, costs typically go one way: up.

    Given such investments, it may be too soon for startups looking at their rising model API bills to rejoice from OpenAI’s lone move to lower pricing. 

    Yet this week, OpenAI threw down the gauntlet to put pressure on prices not just once but twice. We’ll see if others follow.

  • Why Your Air Conditioner Breaks Down Right When You Need It Most

    Why Your Air Conditioner Breaks Down Right When You Need It Most

    Summer heat arrives with perfect timing—right when your air conditioning system decides to call it quits. The scenario plays out across countless homes every year: temperatures soar, humidity climbs, and suddenly that reliable cooling system that worked fine just months ago starts making strange noises, blowing warm air, or stops working altogether.

    This frustrating pattern isn’t just bad luck. There are specific reasons why cooling systems tend to fail during peak demand periods, and understanding these causes can help you prevent emergency breakdowns when you can least afford them.

    The relationship between extreme weather and HVAC failures creates a perfect storm of inconvenience. When everyone else is dealing with the same problem, getting prompt repair service becomes even more challenging. Professional cooling services like Hinds Heating and Cooling Inc. often see their busiest days during heat waves, when demand for emergency repairs skyrockets and appointment availability becomes scarce.