A show dedicated to the latest news in the world of AI & Machine Learning.
Distilling, reviewing and presenting the developments, breakthroughs and failures from the space.
Hosted by Elliot & Tom, each week they bring a smattering of topics all with the purpose of helping you get the most from your application of AI.
This is just a small part of their work in the space. Their channel contains how to's, explainers, tutorials and many more resources to help you become a better practitioner of AI. Check it out here https://www.youtube.com/channel/UCzuyWHAoUBXJBfVlDRJzbIA/featured
AI impresonating humans, how will we prove we are real? | EP045
What happens when AIs become indistinguishable from humans? Elliot & Tom tackle the question of will we need to prove life in a digital world?
Show Notes
- Bots beat CAPTCHA results https://qz.com/ai-bots-recaptcha-turing-test-websites-authenticity-1850734350
- On the internet, nobody knows you are human
https://www.theverge.com/2023/2/24/23608961/tiktok-creator-bot-accusation-prove-theyre-human
- AI detection tools falsely accus international students of cheating https://themarkup.org/machine-learning/2023/08/14/ai-detection-tools-falsely-accuse-international-students-of-cheating
Runsheet
00:00 The Fun begins
01:45 The problem of AIs replicating humans and becoming indistinguishable
05:00 Are AIs replicating humans an issue at all?
10:20 Should we have the right to know we are conversing with a human or and AI?
11:30 Do we have a right to know about AI generated content?
17:00 Are AI detectors failing?
23:30 Moving towards a zero trust world, only relying on certain logos and URLs
26:30 Will financial verification be a form of proving life?
28:10 How will creators proving your work is your own?
32:15 Will AI create it's own style attributable it?
34:50 How will social media juggle creative bots vs bad bots?
40:10 How will places deal with autobanning or shadown ban real humans?
43:00 Wrapping up
8 Aug 2023
Computational pathology and the future of AI cancer detection - Dr Thomas Fuchs - EP044
Dr. Thomas J. Fuchs is the Founder and Chief Scientist at Paige. He is a pioneer in the groundbreaking field of computational pathology, using artificial intelligence to analyze images of tissue samples to identify disease, recommend treatment and predict outcome and was named one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare in 2019. He is also the Dean of Artificial Intelligence and Human Health and Co-Director of the Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai.
Show Notes
- https://paige.ai/ (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbFI0dTM3R0Q1Wjc1aUlYUzczNmE5bUVxemxpQXxBQ3Jtc0trVGlaekg3UFlkYXJkenZKbWM3RzFmcjdTMU85TlhDUldscXdmZU1rQURqLW5jTGFMRzZxLV82YnhhZnEzMVNreGphSjk1akltQ2QzWDBNS2FkbUREcGh4ZnZ0dnA4cXNTeC1pQXpHRTJFelJXNHhGSQ&q=https%3A%2F%2Fpaige.ai%2F&v=Nab-ZMQ4EYc)
- https://www.linkedin.com/in/fuchsthom... (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbmJlbjRRdjRxTzY2MlJuNzhybTZqcHBDMDFPd3xBQ3Jtc0tsWjFNb2Q4a1pXTzdNNHlRYXV5NzVNMHRkOThYUUlpNk1sNHhWM1cwWmFQcFN2WHB6VkptY2hrWEtXRGpZYkRCS2FQSmVVR0llZ3JVdTdYZVNjT2RKelFYUnZRSnR5Y05wa0ptWllxTmxVOXA2a3JTRQ&q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Ffuchsthomas%2Fdetails%2Fexperience%2F&v=Nab-ZMQ4EYc)
- https://www.accessdata.fda.gov/cdrh_d... (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbkhRTFBlZmloVlp6R3Juc3ZDX2I1OXBPTDQ5QXxBQ3Jtc0tsbHpoaGRBZ3BwMkJ6VGxpNXJRTnpfLUROamlFX2JjQmM4aWo4UVRXeGpBZFREWmdtbHdZY1NiMllmUnJuaDBtcEZOcVZtelJVOFZVclBRLVphNVJ4ZWcxakQ2YndqQS00ZWdhTkNiRHFKUjFnX2w0cw&q=https%3A%2F%2Fwww.accessdata.fda.gov%2Fcdrh_docs%2Fpdf20%2FK201005.pdf&v=Nab-ZMQ4EYc)
- https://pathsocjournals.onlinelibrary... (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbEhXT3NyOUxQcnJLczd1dmN5aGNYdWRHTkQ0QXxBQ3Jtc0tsYkh5SFlTWGhFV0pwOURRWWE5X0lwN21ObDlNM3d1LXh3c19pdjZBd2Z1OEIyWlAyWWVzTE1ZWDQtempLaTYxdGRZZFNzVUJfd3o5UFh1QVFxYlFYd3I5cTBrdktWUjJrcFhhNkJzWlZPZDhadXdRTQ&q=https%3A%2F%2Fpathsocjournals.onlinelibrary.wiley.com%2Fdoi%2F10.1002%2Fpath.5662&v=Nab-ZMQ4EYc)
Runsheet
00:00 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=0s) Intro to our wonderful guest
01:18 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=78s) What did rockets and the Mars rover teach Thomas about machine learning?
05:20 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=320s) Where did the spark for Paige come from? Where is Paige today?
08:00 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=480s) The AI that makes Paige what it is today?
12:48 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=768s) Are pre-trained transformers effective in the application of AI in the medical sphere?
15:30 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=930s) How do deal with data quality and bottlenecks in Paige?
19:00 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=1140s) How does Paige prioritise what AI models to build and what questions to ask?
21:45 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=1305s) What are some of the biggest accelerants for Paige and AI at the moment?
26:30 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=1590s) Where are areas being overlooked in the medical AI field?
31:15 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=1875s) How should a an engineer balance their clinical and technical skill development?
34:00 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=2040s) What are some of the biggest challenges that Paige faces?
38:15 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=2295s) What opportunities do you see to work directly with the patient through Paige?
41:30 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=2490s) What does the next 10 years look like for Paige?
44:30 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=2670s) How do you consider distributing Paige to parts of the world that need it but don’t have the infrastructure?
49:00 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=2940s) How do you keep on top of all the information in your fields?
53:25 (https://www.youtube.com/watch?v=Nab-ZMQ4EYc&t=3205s) Wrapping it up
14 Jun 2023
Where are VCs investing in AI? | EP042
This week Tom and Elliot talk through the most active VCs in the AI space. Exploring what the big players, the old players and the new players are all doing.
⌚Time Stamps⌚
00:00 The fun begins
01:00 Where are VCs investing in AI?
04:00 What is the top 5 VCs strategy when it comes to AI? Who are the most active?
22:00 What does the YCombinator cohort look like?
35:00 What are the new AI focussed funds?
⚡Show Notes ⚡
- https://www.sequoiacap.com/our-companies/?_categories=ai-ml&_sort=stage_at_investment-asc
- https://www.nea.com/news/press-releases/nea-closes-on-two-funds-totaling-6-2-billion
- https://techcrunch.com/2023/05/09/sound-ventures-has-already-plugged-half-its-new-240-million-ai-fund-into-three-companies/
- https://www.ycombinator.com/blog/meet-the-yc-winter-2023-batch
👋CONTACT
Any feedback? Leave a comment or hit us on twitter/mastodon @tom_k_white, @elliotcsmith@mastodon.social
👋Come Chat Join our Discord https://discord.gg/YhCTTEF9#podcast #tech #ai #startup
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