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- 🧠 Swiss startup offers "biocomputers" made of human brain cells
🧠 Swiss startup offers "biocomputers" made of human brain cells
Plus: California revises AI regulation bill after tech pushback.
Amandeep Singh
August 20, 2024
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Here is what we have Today:
From Sci-Fi to Reality
Swiss Startup offer Brain Cells for RentFrom ‘Prejury’ to ‘Statements’
California`s AI Bill Takes a U-Turn
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AI BRAIN
Swiss startup FinalSpark is offering scientists cloud access to "biocomputers" made of human brain cells for $500 a month, in an effort to create AI that uses 100,000x less energy than current systems.
Image: Ideogram
How do these 'living computers' work?
Use organoids (clumps of human brain cells) that compute for up to 100 days
AI models trained using dopamine for positive reinforcement
Electrical signals used for negative reinforcement, mimicking natural neural processes
What makes them special?
Claimed to be up to 100,000 times more efficient for AI training than traditional technology
Aim to drastically reduce energy consumption in AI development
Four clusters of living neurons are connected to electrodes on FinalSpark's Neuroplatform chip. (Image credit: FinalSpark)
Can anyone see these biocomputers in action?
Yes, the organoids and their behavior are live-streamed 24/7, accessible to the public. WATCH
Why does this matter?
Potential to significantly reduce AI's energy footprint
Represents a radical shift from traditional silicon-based computing
Opens up new possibilities in AI and neuroscience research
What are the concerns?
Ethical questions about using human brain cells for computing
Sci-fi-like possibility of cell masses achieving consciousness
Uncharted territory in terms of regulation and long-term implications
What's next?
Further research into the capabilities and limitations of biocomputers
Potential widespread adoption if efficiency claims prove true
Likely debates on the ethical implications of this technology
This development could mark a paradigm shift in AI computing, but it also raises profound questions about the intersection of biology and technology.
TODAY`s PICK
Apheros has developed a novel metal foam that upgrades data centers’ cooling aspect, which accounts for nearly 40% of their total energy consumption — improving cooling systems’ heat exchange by 90%, cutting down energy usage by a significant margin.
Japan Supermarkets are selling a lemon melon fruit for almost a year — A fruit invented in the lab through technology is a combination of a melon and lemon fruit.
OpenAI blocked a group of ChatGPT accounts linked to an Iranian influence group — Storm 2035 — using the tool to generate and spread articles and posts, to influence public opinion about different topics, including US presidential elections.
Donald Trump posted a series of AI-generated images of false endorsement from pop star Taylor Swift “Swifties for Trump” — supporting his presidential candidacy over the weekend.
AGIBOT, a China-based robotics startup, launched a family of five advanced humanoid robots, directly challenging Elon Musk and Tesla’s upcoming Optimus bot.
Luma Labs just released Dream Machine 1.5, a major upgrade to their current AI video generation model, with higher quality text-to-video, smarter prompt understanding, and better image-to-video capabilities.
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AI LAW
California's SB 1047, originally aimed at preventing AI disasters, has been significantly revised following concerns from AI companies like Anthropic and open-source developers.
Image: Ideogram
How was the bill weakened?
The attorney general can no longer sue AI companies for negligent safety practices before a catastrophic event
AI labs now submit public "statements" about safety practices instead of certifications "under penalty of perjury"
Developers must provide "reasonable care" rather than "reasonable assurance" against significant risks
What's next for the bill?
The revised bill is headed to California's Assembly floor for a final vote.
Who influenced these changes?
AI companies like Anthropic and open-source developers raised concerns that led to the revisions.
Why does this matter?
Shows the delicate balance between technological progress and risk mitigation
Demonstrates that regulation can be adaptive and practical
Indicates a shift towards collaborative governance in AI development
What's the bigger picture?
These changes reflect an evolving approach to AI regulation, potentially setting a precedent for how governments and tech companies can work together to foster responsible AI development.
AI ART
Conceptual future Audi, shot at night, on a rainy night, super forward design concept, street --chaos 20 --s 50 --ar 24:19 - Remix (Strong)
Image: Ideogram
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