Housing: creative solutions

  Don’t believe the hype. Artificial intelligence is neither artificial nor intelligent. While advancements are exciting, a popular form of AI called machine learning is not the key to super intelligence that many claim. Machine learning is like a super pattern recognizer, analysing massive amounts of data to make predictions or complete tasks. It's great for specific things, like writing code or finding rhymes, but it doesn't capture how humans think. The human brain works in a completely different league. We can grasp complex ideas with way less information and come up with explanations, not just describe what's happening. Imagine a child learning grammar - they pick up the rules without needing mountains of data. Machine learning programs can't do this, they're stuck on a more basic way of understanding the world. This limited understanding restricts what machine learning programs can achieve. They can describe situations and even predict what might happen next, ...

  8 facts you need to know about welfare reform This blog is simple. It gives facts that contradict commonly held and repeated views. It debunks the myths that we hear regularly. Print it out and keep it near you. MYTH 1. Keeping the rise in benefits to only 1% is fair because it hits shirkers, not workers. Fact: 60% of the reduction falls on in-work households. Why? Because the 1% rise - which equates to a real-terms cut - affects universal benefits like child benefit and tax credits like child tax credit. MYTH 2. Spending on benefits for those out of work is out of control. Fact: the majority of all welfare spending is on pensioners - 53%. Also, benefits for those out of work is less than a quarter of the total welfare budget. Second, on average, between 2000 and 2010, welfare spending grew annually, in real terms, by only 1.75% - compared to 5.5% in the 1950s and 1960s, and 3% in the 1980s. Third, benefit spending in 2011-12 accounted for 10.4% of GDP, lower than the mid-80s ...