Depressing media pile-on taking place on both Nick Ferrari's #LBC and BBC's #R4Today as we listen.
Why is the conspiracy theory that Netanyahu 'turned a blind eye' to intelligence of Hamas October 7th attack an "anti-Semitic” conspiracy theory"?
If evidence were found confirming the theory, who would be the greater anti-semite - an Israeli leader who failed to defend Jewish people for strategic advantage or someone who questioned his motivation?
"People, societies, and cultures produce intelligence, not brains. Brains are involved, as are (for example) stories. A brain would not be sufficient to produce intelligence, if one could somehow be disentangled from the person, society, and culture."
More than a ⅕ of the remaining #hostages being held in #Gaza are dead, acc/to an internal assessment conducted by the #IDF.
Israeli #intelligence officers have concluded that ≥32 of the remaining 136 hostages captured by #Hamas & its allies on #Oct7 have died since the start of the war, acc/to a confidential assessment that was reviewed by The NYTimes.
The families of 32 #hostages, whose deaths are confirmed, have been informed, acc/to 4 military ofcls….
The 4 ofcls said that officers were also assessing unconfirmed #intelligence that indicated that ≥20 other hostages may have also been killed.
The figure of 32 is higher than any previous number the Israeli authorities have publicly disclosed of hostages who are dead. In an answer to a request for comment, the #IDF said that most of the dead were killed on #Oct7.
#AI, specifically #GithubCopilot, is an incredible tool for upgrading code.
I fixed an architecture problem that resulted in over 700 warnings related to nullability in C#. I was able to clear all of those warnings properly with the help of AI in just a couple hours. Now my code base is far more robust and better at handling errors elegantly.
Shockingly, when you use a glorified pattern-matching algorithm to deal with a pattern-matching problem, you get good results. Who knew?
"US #Senator Ron Wyden released documents confirming the #NationalSecurityAgency buys Americans’ internet records, which can [read: WILL] reveal which #websites they visit and what #apps they use."
We are a #research and #intelligence firm with a focus on #humanrights. We empower individuals to advocate for their own #liberty using open source information, guided by principles of autonomy and self-determination.
When my neighbour has some nice unique stuff and he thinks like: Fuck, where is it? One day, he sees me running around with it and he comes over and shouts uncomfortably loud: How comes you have my stuff? And I say: Dudi, its intelligence, and its mine. 🤭
I wouldn't say to him but: Mine and yours are bourgeoise categories. But he's not an Anarchist or Communist anyhow.
#NigelInkster said #MI6 “clearly (has)...difficulties” while #China has “industrial-scale #Cyber#Espionage operations directed against advanced Western countries” ⏩
Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy.
However, the #FDA does not require an understanding a drug’s mechanism of action for approval.
This acceptance of results without explanation raises the question of whether the "#blackbox" decision-making process of a safe and effective #artificial#intelligence model must be fully explained in order to secure FDA approval.
This topic was one of many discussion points addressed on Monday, Dec. 4 during the 🔸"MIT Abdul Latif Jameel Clinic for Machine Learning in Health AI and Health Regulatory Policy Conference", 🔸which ignited a series of discussions and debates amongst faculty; regulators from the United States, EU, and Nigeria; and industry experts concerning the regulation of AI in health.
As #machine#learning continues to evolve rapidly, uncertainty persists as to whether regulators can keep up and still reduce the likelihood of harmful impact while ensuring that their respective countries remain competitive in innovation.
To promote an environment of frank and open discussion, the Jameel Clinic event’s attendance was highly curated for an audience of 100 attendees debating through the enforcement of the Chatham House Rule, to allow speakers anonymity for discussing controversial opinions and arguments without being identified as the source.
Rather than hosting an event to generate buzz around AI in health, the Jameel Clinic's goal was to create a space to keep regulators apprised of the most cutting-edge advancements in #AI, while allowing faculty and industry experts to propose new or different approaches to #regulatory frameworks for AI in #health, especially for AI use in #clinical settings and in #drug#development.
AI’s role in medicine is more relevant than ever, as the industry struggles with a post-pandemic labor shortage, increased costs (“Not a salary issue, despite common belief,” said one speaker), as well as high rates of burnout and resignations among health care professionals.
One speaker suggested that priorities for clinical AI deployment should be focused more on operational #tooling rather than patient diagnosis and treatment.
One attendee pointed out a “clear lack of #education across all constituents — not just amongst developer communities and health care systems, but with patients and regulators as well.”
Given that medical doctors are often the primary users of clinical AI tools, a number of the medical doctors present pleaded with regulators to consult them before taking action.
#Data#availability was a key issue for the majority of AI researchers in attendance.
They lamented the lack of data to make their AI tools work effectively.
Many faced barriers such as intellectual property barring access or simply a dearth of large, high-quality datasets.
“Developers can’t spend billions creating data, but the FDA can,” a speaker pointed out during the event.
“There’s a price uncertainty that could lead to underinvestment in AI.”
Speakers from the EU touted the development of a system obligating governments to make health data available for AI researchers.
"In 1981, the AI researcher and Yale University professor Drew McDermott called this practice of naming computational phenomena with words denoting human characteristics and capabilities wishful mnemonics. He suggested that technologists' use of such words reflected a deep-seated desire for the computational objects in question to magically assume the human-like qualities being described."
A Lorry has succumbed to ongoing confusion apparently caused by a satnav error and driven down a set of stairs in central Edinburgh.
It does amuse while giving cause to wonder whether intelligence tests for driver are not really necessary NOW. Small roads I might understand, but this!