Microsoft=E2=80=99s new era=
of AI PCs will need a Copilot key, says Intel (3 minute read)
Microsoft's new specifications for OEMs=
building AI PCs includes a requirement that they must have a Copilot key. =
To be recognized as an AI PC, OEM partners must also provide a combination =
of hardware and software including a Neural Processing Unit (NPU), the late=
st CPUs and GPUs, and access to Copilot. It is unclear what OEMs will get i=
n return for adhering to Microsoft's AI PC definition. Intel recognizes som=
e laptops without the Copilot key as AI PCs due to their integrated NPUs.
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Apple=E2=80=99s WWDC 2024 i=
s set for June 10th (2 minute read)
Apple's Worldwide Developers Conference=
will start with a keynote on June 10 and run through until June 14. This y=
ear's event should be similar to previous years, with announcements likely =
focusing on the company's fall software updates and new hardware. Apple has=
reportedly spent millions per day training its own AI models and it has be=
en rumored to be courting news outlets for training content partnerships. T=
he company may be planning a deal with third parties to supply cloud-based =
AI features. It may also be planning to open up an ecosystem for AI develop=
ers to create deep integrations into its devices.
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Science & Futuristic Technology
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Startup Plans Largest Ocean=
Geoengineering Plant (5 minute read)
Californian startup Ebb Carbon plans to=
use seawater to remove tons of carbon dioxide from the air. Its pilot carb=
on dioxide removal plant, codenamed Project Macoma, could start operations =
as soon as this year. It will pump hundreds of thousands of liters of seawa=
ter every day, splitting the water into acidic and alkaline streams using a=
n electrochemical process. The alkaline outflow mixes with carbon dioxide i=
n ambient seawater to create bicarbonate, a stable way to store carbon. Whi=
le the impact of the plant will be small, the process, if scaled up, could =
help mitigate the effects of climate change.
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It's hearty, it's meaty, it=
's mold (5 minute read)
One of the most promising sources of al=
ternative foods is fungi, which contain nutritious proteins, fats, antioxid=
ants, and flavor molecules. Scientists are exploring the many possibilities=
for new flavors and textures that can be made by modifying genes already p=
resent in fungi, as opposed to introducing genes from wildly different spec=
ies. Researchers have modified a fungus called koji mold, usually used in E=
ast Asia to ferment starches, to be more meat-like, offering an alternative=
route for creating meat substitutes. The approach can create meat substitu=
tes without the complex ingredients lists, costs, and technical difficultie=
s of cultured meat.
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Programming, Design & Data Science
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Why Google failed to make G=
PT-3 + why Multimodal Agents are the path to AGI =E2=80=94 with David Luan =
of Adept (64 minute read)
This article contains an interview with=
David Luan, one of OpenAI's early hires, a past leader of Google's LLM eff=
orts and co-leader of Google Brain, and founder of Adept, one of the leadin=
g companies in the AI agents space, where he discusses his time with early =
OpenAI and how Adept is building agents that can do anything humans can do =
on a computer. Google had a huge lead with AI in 2017, but it was OpenAI th=
at ended up making GPT 1/2/3. While Google's team created Transformers, the=
company's internal processes made it difficult for its researchers to get =
work done. OpenAI was able to beat Google because it took big swings and fo=
cused.
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Here=E2=80=99s why AI searc=
h engines really can=E2=80=99t kill Google (11 minute read)
Google Search seems to be getting worse=
as AI tools get better. Google is complex and people use it for many diffe=
rent things. Large language model-based bots may be genuinely more useful t=
han a page of Google results in some cases, but it will be difficult for AI=
to replace Google as the center of the web for most use cases. This articl=
e looks at how search works and explains how Google is still much better th=
an LLM-based systems for the majority of queries.
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How to trade software for s=
mall money? (4 minute read)
It's easy for system engineers to make =
something that is valuable and widely used, but quite a lot harder to get p=
aid for it. The competition is often free software maintained by well-funde=
d teams and there is a community norm where it is seen to be mildly immoral=
to charge money for software. Pricing models for systems software is also =
tricky. This post looks at various options for pricing models. SaaS softwar=
e is likely more prevalent as VCs don't think that non-SaaS companies make =
money.
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Dan Ni &a=
mp; Stephen =
Flanders
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