It’s thrilling to see founders from our earliest-stage Arc investment to Zoom all laser focused on the same thing: delighting users with AI.

이런 글 읽으면서 세상을 더 넓게 바라봐야겠다는 다짐을 하곤 한다.
중국의 생산자 물가 지수가 -3% 이하 구간에 큰 기회가 있다.

https://m.blog.naver.com/gaajur/223115616470

속전속결 핀테크 유니콘.

핀테크로 창업하고 1년이 되지 않아서 유니콘이 된 곳이 있습니다.

Pacaso는 유니콘이 되는 데 겨우 174일, Magic Eden은 277일, Zebec은 301일 걸렸습니다. Pacaso는 부동산 중계회사입니다. Magic Eden은 NFT 마켓플레이스입니다. Zebec은 블록체인 기반의 실시간 지불시스템을 만들었습니다.

이 세 회사는 모두 실리콘밸리에 자리를 잡고 있습니다. Magic Eden과 Zebec은 암호화폐 유니콘 기업이고, Pacaso는 결제 등에 암호화폐를 허용합니다.

Zebec 창업자 Sambhab Thapaliya는 이제 겨우 24살인데 네팔에서 공부하려고 미국으로 건너가 실리콘밸리의 Menlo College에 2017년 입학했고 거기서 그는 그의 첫 회사인 ASMI의 개념을 착상하여 그 대학에서 2020 Entrepreneurship and Innovation Award를 받습니다. 2021년에는 Zebec을 창업했습니다.

세상이 어떻게 돌아가는지 알아볼 필요가 있습니다.

This is the night that this phrase comes to mind.

1. Your friends can help you see what you cannot see.
2. I will help them and they help you and we can do better and go further.
3. I have hundreds of friends, mentors.
4. Friends let you help them. Friends had a full trust and faith to me via conversation which make me I am a worthy person.

1. Make friendship with high priority
2. Make concious good friendship. Make a rituals. Talk about what friendship is and how to improve this.
3. Share what you want and your dream to friends.
4. Friends tell you not what you want but what I need to do.
5. Life is most fullfilling teamsports

최인아 대표님의 '내가 가진 것을 세상이 원하게 하라' 책에 이런 구절이 나온다. 2007년 한 신문에 기고했던 글의 내용이라고.
"젊기는 쉽다. 모두 젊다, 처음엔. 늙기는 쉽지 않다. 세월이 걸린다. 젊음은 주어진다. 늙음은 이루어진다. 늙기 위해선 세월에 섞을 마법을 만들어내야 한다."
이 구절을 보고 예전에 읽었던 한 문장이 떠올랐다. '젊다'는 형용사인데, '늙다'는 동사라는 문장. 그렇기에 사람마다 어떻게(어떤 모습으로) 늙어갈지 개인이 선택할 수 있고, 그 선택에 따라 만들어 간 것이 자신의 '늙은 모습'이라는 것.
자신의 '늙음'이 '늙어버렸다'라는 단어로 표현되는 것이 아니라, 어떤 모습으로 늙어가고 싶은지에 대해 생각하고 그것을 적극적으로 이루려고 한 결과로써 '늙음'을 바라볼 수 있다면, 걱정의 대상이 아니라 설렘의 대상으로 늙음을 바라볼 수도 있겠다는 생각이 들었다.
그런 의미에서 이 책은, 누군가에겐 자기 계발서겠지만, 자신을 충분히 사랑하는 사람이 되자는 것과 그렇게 하기 위해 가져야 하는 태도를 얘기하는 삶의 철학에 대한 이야기이다.

Welcome To the Era of LLMOps: Arize:Observe 2023 https://youtu.be/55y1GMEnoSw?list=PL86ARIu_ElO6BgtB6w3JtKJDBGOWUAtHr

Picking Teams in AI

Yesterday, Databricks announced its intent to acquire Mosaic for $1.3b. Perhaps not coincidentally, Snowflake announced a deepened partnership with Nvidia to offer customers models & training on Nvidia’s Nemo platform.
Clouds are picking teams in one of the most important dislocations in software.
Cloud <- -> LLM Infrastructure
Microsoft <- -> OpenAI
Snowflake <- -> Nvidia
Databricks <- -> Mosaic
Google <- -> Anthropic
Oracle <- -> Cohere
Amazon <- -> HuggingFace
Microsoft has invested over $10b, plus significant development efforts to work with OpenAI. In addition, Microsoft & Snowflake announced a deeper AI go-to-market partnership with Snowflake.
Snowflake’s partnership with Nvidia positions Snowflake’s cloud as a broader infrastructure platform.
DataBricks, whose business revolves around Spark operating in customer environments, has announced plans to acquire Mosaic, a vertically integrated model training & management system that functions on similar workloads.
Google has invested hundreds of millions into Anthropic, complementing its efforts with Google Brain.
Oracle has paralleled Microsoft’s OpenAI partnership with Cohere, investing & seeking to build a product for Oracle’s cloud with Cohere.
Amazon has announced HuggingFace LLMs on their Sagemaker product, embracing the open-source community.
Cloudflare, which has seen tremendous interest in its R2 storage product for model training because of a lower cost storage infrastructure, had partnered with Mosaic. It’s unclear how the Databricks acquisition might change that relationship.
Cloud infrastructure players are picking teams within the infrastructure layer. Most major cloud players have picked an LLM partner & perhaps will choose multiple.
For startups building LLM-based applications & infrastructure, this alters the calculus of selecting a cloud. Five years ago, many startups defaulted to AWS for the generous credits, broad catalog, & rapid pace of innovation.
LLM-enabled apps require customer data to train, propelling data security to the top of the list for most enterprise buyers. Startups may begin to pick clouds to reach a particular class of customer, the security promises the underlying platforms provide, & then available algorithms & cost.
Access to particular models may be a consideration, but given the rapid advances in open-source that advantage will likely erode over time.

https://tomtunguz.com/ai-consolidation/

Economic Uncertainty Elevates Importance of Machine Learning Observability Arize

https://news.hada.io/topic?id=9520&utm_source=discord&utm_medium=bot&utm_campaign=4
LLM의 등장으로 Vector 형식의 데이터 수송신이 JSON처럼 대중화될 것이라는 주장

I think we’re starting to see frothy valuations coming back in certain areas, especially genAI. We’re talking about $30mm pre for pre-seed, pre-product teams. I don’t think that’s particularly healthy.

If you were lucky enough to raise big venture money, one thing I tell founders is treat the money as if it was a repayable loan.

No one throws a block party for their mortgage approval and part of the reason is they know too well that the money needs to be repaid at some point. It’s the same for VC funding too - except the investor expectation/hope is only higher (everybody wants a 10x return). All kinds of problems happen when founders think the VC money is “theirs”.

Chang Kim

“Approved H1-B holders as of July 16, 2023 will receive an open work permit of up to 3yrs, which means they will be able to work for almost any employer anywhere in Canada.”

Canada is finally ready to eat USA’s lunch on poor immigration policy!

As part of Canada’s first-ever Tech Talent Strategy, Minister Fraser announced the following aggressive attraction measures:
• the creation of an open work permit stream for H-1B specialty occupation visa holders in the US to apply for a Canadian work permit, and study or work permit options for their accompanying family members
• the development of an Innovation Stream under to the International Mobility Program to attract highly talented individuals, options for which include
◦ employer-specific work permits for up to five years for workers destined to work for a company identified by the Government of Canada as contributing to our industrial innovation goals
◦ open work permits for up to five years for highly skilled workers in select in-demand occupations
• a return to the 14-day service standard for work permits under the Global Skills Strategy
• the promotion of Canada as a destination for digital nomads
• the creation of a STEM-specific draw under category-based selection to issue additional invitations to apply under the Express Entry program
• improvements to the Start-up Visa Program
◦ We allocated more spots to this program for 2023, with further increases planned for 2024 and 2025.
◦ Applicants will be able to apply for a work permit that is up to three years in duration instead of one year.
◦ Applicants will be able to apply for an open work permit instead of one that limits them to working for their own start-up.
◦ We’re making this three-year open work permit available to each member of the entrepreneurial team instead of only those who are essential and urgently needed in Canada.
◦ We’re prioritizing applications that are supported by venture capital, angel investor groups and business incubators and have capital committed, along with applications that are supported by business incubators who are members of Canada’s Tech Network.

1. OpenAI Plans ChatGPT ‘Personal Assistant for Work,’ Setting Up Microsoft Rivalry.

• OpenAI wants to build ChatGPT into a personal assistant
• The effort could take years
• It hinges on training AI models on personal data without leaking that information

Earlier this month, Altman made a key hire that could be related to the assistant effort. OpenAI named former Facebook leader Peter Deng as vice president of consumer product. In a LinkedIn post announcing his new role, Deng cited the company’s desire to develop “assistive capabilities that make people more productive and creative.” Deng was previously the first product manager of Facebook Messenger and later led product at Instagram before serving as a product leader at Uber and then Airtable, a productivity software firm.


2. ChatGPT last fall, OpenAI started charging individuals and companies for an upgraded version, which recently had more than 2 million subscribers and is on pace to generate hundreds of millions of dollars per year

=> Chat GPT paid customer 2m x $20 -> monthly revenue $40m (월 520백억) yearly $480m 6280억)

Open AI’s last year loss $540 million(7000억)

3. To boost ChatGPT’s value, OpenAI is considering opening a type of app store in which its customers would sell customized versions of the chatbot that could help other businesses draft marketing materials, identify fraudulent transactions or build customer service chatbots, The Information reported last week.

Challenges
1. But to operate in a more personalized fashion and respond quickly the way Apple’s Siri does, the prospective OpenAI assistant software may need to be partly stored on users’ devices.

MS’s situation
Large-language models that allow ChatGPT and other software to understand conversational commands are relatively new, although Microsoft is already charging a 40% premium to Office 365 customers that want to use OpenAI’s LLMs to automate tasks such as creating PowerPoint presentations based on text documents, summarizing meetings or drafting email responses.

New challengers

If open-source LLMs continue to progress, developers may be able to create their own assistants. One example is Personal AI, a startup founded in 2020 that has raised $7.8 million. It has trained open-source models—as well as its proprietary LLM—on an individual’s data and made the models small enough to run entirely on laptops or phones.

평범한 사람들이 위대한 결과 만들어내는 이야기는 소설같지만, 매력적입니다. 영화같기만 한 이야기 같은데, 실제로 버핏이 그런 사례를 얘기하니 더 울리기도 하고요. 사실 평범한 사람들이 위대한 회사를 만든다는 말 자체가 모순이지 않나 싶기도 합니다. 위대한 회사 만들기 위해서 평범한 것 오래 포기하지 않고 쌓아간 것 자체가 안 평범한 것이니까요. 모두가 알지만, 지키지 못하는 것이니까요. 사실 성공이 거창한 것인가 싶습니다. 하루하루 쌓아 올리는 것인데요. 그것을 하루 하기는 쉬워도, 100일, 1년, 10년 하기 어려우니까 어려운 것이겠지요. 오늘도 자기만의 길 걸으시는 모든 모든 분들께 버핏의 한 마디가 위로와 격려가 되기를 바라며 올립니다.

https://youtu.be/gXFXMCAwP-k

This story deeply resonates with me and its significance can be appreciated by everyone.