Joe Castaldo @Joe_Castaldo
Business reporter at The Globe and Mail (@globebusiness). Formerly @Macleans and @cdnbiz Toronto Joined August 2010-
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‘I want to be like bitcoin jesus’: Court documents shed new light on origins of now-defunct crypto exchange Quadriga /via @globeandmail with @Joe_Castaldo & @MikePHager theglobeandmail.com/business/artic…
Cineplex pulls South Indian film screenings after incidents of threats, intimidation and talk of turf war theglobeandmail.com/business/artic…
For some blind and low-vision people, AI glasses unlock a new independence theglobeandmail.com/business/artic…
Federal consultations on AI regulations heavily skewed toward businesses, industry groups, say critics theglobeandmail.com/business/artic…
Emerging research could help solve generative AI’s ‘hallucination’ problem theglobeandmail.com/business/artic…
Huawei funds launch of Alberta AI researcher Richard Sutton’s lab after federal restrictions theglobeandmail.com/business/artic…
AI chatbots fall short in dozens of languages. A non-profit project aims to fix that theglobeandmail.com/business/artic…
Meet the gig workers making AI models smarter theglobeandmail.com/business/artic…
Learning to code takes on a new meaning as AI shakes up programming theglobeandmail.com/business/artic…
AI is coming for voice actors, but some see an opportunity theglobeandmail.com/business/artic…
They fell in love with an AI chatbot. Now, they're heartbroken theglobeandmail.com/business/artic…
Victims of alleged Morrisseau art fraud include Westerkirk Capital billionaire Sherry Brydson theglobeandmail.com/arts/article-v…
I took a break from business reporting earlier this year to do a deep dive on two cold cases, and how Toronto police made an arrest after nearly four decades theglobeandmail.com/canada/article…
Lost in translation: Cohere’s AI software wrote parts of this story. But is it ready for the world? theglobeandmail.com/business/rob-m…
This is your brain on ketamine: Inside the brave new world of psychedelic medicine theglobeandmail.com/business/rob-m…
Former investor sues video site Rumble over share redemption theglobeandmail.com/business/artic…
How Toronto-based Rumble became a refuge for the MAGA crowd theglobeandmail.com/business/artic…
A statement from the elected union executive representing Globe and Mail workers
Some employers are using artificial intelligence to analyze the facial expressions of job seekers, sparking concern theglobeandmail.com/business/artic…
Before Quadriga: How shady ventures in Gerald Cotten’s youth led to the creation of his ill-fated cryptocurrency exchange (with @Joe_Castaldo) theglobeandmail.com/business/artic…
Jana G. Pruden @jana_pruden
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90K Followers 0 Following Fast, open-source and secure language models. Join us https://t.co/INALdNGvCPSo LLaMa 3's carbon footprint is... huge? 🤯 They estimate it to be 2,290 tons of CO2eq, compared to 550t for training GPT-3 and 66t for training *all* of the BLOOM models (1B-176B) 🌬️
It turns out the data bottleneck problem is more dire than initially thought: AI model performance - which can be largely attributed to the presence of test concepts within their vast pretraining datasets - increases linearly with exponentially more data. RIP: Scaling laws
Very interesting thread from a computer security expert. He says: 1. Building something that works in the real world is harder than what most armchair AI safety folks think. 2. there is a natural tendency to exaggerate the potential risks of your own work, because it makes you…
I wish I had more time to chime into the AI doom debate, but here a very quick thread: 1) The one thing all AI doomers seem to assume is that almost all engineering problems can be solved by thinking, vs. experimentation. 2) Humanity has seen multiple individuals of ...
🚨 New reading alert! 🚨 Canada's Artificial Intelligence and Data Act: A Missed Opportunity for Shared Prosperity Excited to finally share the policy brief @re_sieber and I submitted to INDU. The brief covers 4 problems and proposes 3 recommendations. ourcommons.ca/Content/Commit…
In the future, once the robustness of our models will exceed some threshold, we will have *wildly effective* and dirt cheap AI therapy. Will lead to a radical improvement in people’s experience of life. One of the applications I’m most eagerly awaiting.
Just had a quite emotional, personal conversation w/ ChatGPT in voice mode, talking about stress, work-life balance. Interestingly I felt heard & warm. Never tried therapy before but this is probably it? Try it especially if you usually just use it as a productivity tool.
Just had a quite emotional, personal conversation w/ ChatGPT in voice mode, talking about stress, work-life balance. Interestingly I felt heard & warm. Never tried therapy before but this is probably it? Try it especially if you usually just use it as a productivity tool.
voice mode and vision for chatgpt! really worth a try. openai.com/blog/chatgpt-c…
I testified in front of the US Senate Subcommittee on Intelligences yesterday. I argued that the rapid and free exchange of ideas, scientific publications, open source code, and trained models is the reason that AI has progressed so fast in the last decade. I also pointed out…
Pretty much all of these lines are misleading. Each is based on a single dataset, but is presented as though it represents the concept in the abstract. AI is not super human at writing code, rather llms outperform people on a particular code writing dataset. AI is wildly…
incredible AI progress in one eye-full. this is what exponential looks like. speech, image, reading, language understanding, grade school math, codegen - all nearing or exceeded human performance
Mitigating the risk of extinction from AI should be a global priority. And Europe should lead the way, building a new global AI framework built on three pillars: guardrails, governance and guiding innovation ↓
In 1950, Turing discarded the question "Can machines think?" starting from the very first paragraph of his most philosophical paper; he was mainly interested in the question of *simulating* an interaction rather than falling into the rabbit hole of "thinking machines".
With all this talk of the Turing test and its ability to measure AGI, I reread Turing's "Computing Machinery and Intelligence". I ***highly*** recommend everyone to do it. There are many very relevant and very useful reflections. See my favorite paragraph below:
Today we're releasing our work on I-JEPA — self-supervised computer vision that learns to understand the world by predicting it. It's the first model based on a component of @ylecun's vision to make AI systems learn and reason like animals and humans. Details ⬇️
"As these systems get 'better' from a technical standpoint, they arguably get worse from a societal one." Did you miss our @EthicsInAI colloquium on #AI Systems, Impacts & Accountability with @OpenAI's Gretchen Krueger? You can rewatch it here. youtube.com/watch?v=X72MA7…
Requiring a license to train models would be like requiring a license to write code. IMO, it would further concentrate power in the hands of a few & drastically slow down progress, fairness & transparency.
it's pretty extraordinary that we have a literal doomsday cult steering the narrative on tech regulation. Not a figurative doomsday cult, a literal "omnipotent entity is coming, it will annihilate us all" doomsday cult.
NEW: IBM will pause hiring for jobs it figures AI could do. Could mean 7,800 roles cut over next few years. bloomberg.com/news/articles/…
A @nytimestech article on chatbot hallucinations. Companies (& the AI research community) are struggling to correct the issue. In my opinion, no amount of fine tuning will ever fix that. It will require a redesign. When A.I. Chatbots Hallucinate nyti.ms/3VhogyZ
Reporting from @CadeMetz on Geoff Hinton's Google departure. A few things stand out to me; 🧵time (promise it'll be short). nytimes.com/2023/05/01/tec…
Very excited for Geoff Unchained
In the NYT today, Cade Metz implies that I left Google so that I could criticize Google. Actually, I left so that I could talk about the dangers of AI without considering how this impacts Google. Google has acted very responsibly.
Last week, China released a draft of regulations for generative AI - big news! There's some pretty ambitious stuff in there. If you want to know more, see the analysis from me and seven others for DigiChina here 👇 Or if clicking away from Twitter is too big an ask, have a 🧵:
NEW: 8 specialists on the implications and questions around China's draft rules on generative AI—from input data to accurate outputs. A Forum w/ @hlntnr @zac_haluza Yan Luo+Xuezi Dan @CovingtonLLP @mattsheehan88 @seatonyhuang Kimball Chen @China_Digital digichina.stanford.edu/work/how-will-…
The normative effect of AI: If generative models tend to produce stereotypical & average content (since they're compressing a large corpus of human content), and if humans start leveraging them at scale to create new content, does that make culture more stereotypical & average?