I’m intrigued by the whole trend of "co-work in silence" meetings Even in the 2D age, this type of shared presence is visceral — you're there together, not just faffing about, but getting serious work done in silence. AI agents will be able to replicate that presence without
MARKET TRENDS
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Innovation Summit Paris 2024: Renewable Energy and Grid Resilience
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Experience the #InnovationSummit Paris 2024 and discover how innovation drives a sustainable energy future. From renewable energy solutions to grid resilience, explore the technologies shaping tomorrow's world. Sign up now: https://
ow.ly/l96J50QPHpt #sponsored #se_iiot @helene_wpli -
Claude 3 Shows Superior Reliability Over GPT-4 on Perplexity
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After 100s of queries myself as a user, with Claude 3 (Opus and Sonnet) as the default model on Perplexity, I’m yet to see a hallucination. I couldn’t have said this for GPT 4. And seeing similar reports from others like @sharifshameem and @rauchg who are switching.
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Deep Learning Hitting Wall: Challenges and Future Directions
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and the original article: https://
nautil.us/deep-learning-
is-hitting-a-wall-238440/
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Deep Learning Wall Prediction: Two-Year Evaluation
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Two years ago today I argued that Deep Learning was Hitting a Wall. How did I do? Point by point evaluation at link below
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2024 Manufacturing Challenges: Digital Transformation Imperative
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[eBook] 2024’s Big Challenges: What Every Manufacturer Must Overcome Get your free copy! https://
ow.ly/86L650QIg3m #Manufacturing #eBook #IndustryTrends #industry40 #iiot #smartmanufacturing #digitaltransformation -
Jensen Huang continues minting money in AI hardware boom
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yes huge profits there; should have clarified that (was focused on the GenAI companies). Jensen will continue to mint money.
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Gen AI Hype: Solution Seeking Problem, Billions at Risk
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In reality, there is a thick cloud of smokey hype around AI, and it's not clear that the promises being made by the corps betting billions will ever be fulfilled (IMO gen AI is ~a solution in search of a problem so big it justifies the $$ to create/run it, which few do). 6/
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Big Tech Marketing and AI Resource Allocation Critique
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But it's not just this. By accepting the frame that such access is vital/necessary, we're buying into Big Tech marketing that says AI is real, lasting, and requires the diversion of billion$ (that could be spent otherwise). 5/
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Big Tech dominance limits academic AI research access
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The issue: Big Tech has the $$ infrastructure, data, ability to pay talent, and access to market which no one else does. So as academics, you either pay retail for access, or get it discounted/free by yoking yourself to Big Tech (via dual affiliation, or just being hired). 2/