Where and How to Start Investing? Advice For Beginners
SVIC Facebook Q&A Discussion: Advice on Where and How to Start Investing Question for the group: *This question was asked to the community last
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SVIC Facebook Q&A Discussion: Advice on Where and How to Start Investing Question for the group: *This question was asked to the community last
What we learned about lending for real estate – Part 2 of 3 This is part 2 out of 3 of a longer article, “What
What we learned about lending for real estate – Part 1 of 3 This is part 1 out of 3 of a longer article, “What
As a new airbnb host, you will likely make a ton of mistakes. Mistakes aren’t always a bad thing, however, and can often lead to
Introduction Working in a tech job has tons of perks – high pay, great office spaces, and smart coworkers – but it also has its
If you’re a high-income individual, it’s no surprise that you’re taxed at higher rates for your ordinary income. By investing in real estate alongside proactive
Welcome to another SVIC Q&A! This time featuring Dana Dunford, CEO of Hemlane, an affordable, top-rated property management solution for your long-term rentals. Dana was
This article is a Q&A featuring our SVIC Expert Amanda Han, Tax Director at Keystone CPA, Inc. She is a tax strategist, real estate investor,
Here’s my worst tenant horror story and how you can mitigate this risk. For many, the thought of buying a rental property is daunting. The
Information presented here is what we learned, not advice on what you should do. It is presented only for self-education. This is not expert advice.
OpenAI sued by more newspapers legal challenges in tech and investment ROI, to language model applications in mental health. They also delve into recent AI research advancements and the broader implications on technology adoption and security.
Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, and more.
🚀Youtube and Patreon supporters: You can catch our latest exclusive episode “Tesla, Google, Facebook, Amazon & Apple’s Earnings; Robotaxis & Many-Shot Learning” by heading over to patreon.com/svic . The episode is hosted on patreon AND Youtube.
👉Gain entry to our exclusive Discord community by becoming a Youtube Channel member or patreon.com/svic supporter to access exclusive episodes, insider updates, and be part of a vibrant group where learning meets laughter.
Chapters
00:00 Introduction
00:48 First YouTube Live Stream May 7th 11AM PST (*^_^)b
01:37 More Newspapers Suing OpenAI
16:16 A16Z Bashing HR
24:12 Institutions Losing Credibility And How To Regain Trust
27:34 Mike’s Hard Lemonade
28:19 How Enterprises Are Building And Buying AI
33:13 United Health Pays Hackers Millions
35:31 Discord Comment: Yusef and Joe – Diminishing Returns From LLMS?
39:10 Research: AI Helping With Depression
42:35 AI Agents Coaching Employees and CBT
48:11 AI Research: Taken Out of Context – LLM Situational Context
49:50 AI Research: Instruction Hierarchy
52:20 Ai Research: LLM Models Scale Reliably with over training and on downstream tasks
Find more of our AI research and papers we couldn’t cover at our Discord by becoming a YouTube contributor! Hit that join button!
#ai #openai #chatgpt #newspapers #machinelearning
Jonathan Brill discusses AI’s expanding role in business, community building, and even personal relationships, including AI-driven social coaching and virtual companionships. Plus, get insights into AI’s influence in gaming and productivity, highlighted by the success of indie games and community-driven projects. Jonathan has worked as the SVP of Community at Slickdeals and he was the Director of Community Operations at Quora.
Jonthan’s Community Meta Game: https://www.facebook.com/groups/412193496927640/
Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, and more.
🚀Youtube and Patreon supporters: You can catch our latest exclusive episode “Tesla, Google, Facebook, Amazon & Apple’s Earnings; Robotaxis & Many-Shot Learning” by heading over to patreon.com/svic . The episode is hosted on patreon AND Youtube.
👉Gain entry to our exclusive Discord community by becoming a Youtube Channel member or patreon.com/svic supporter to access exclusive episodes, insider updates, and be part of a vibrant group where learning meets laughter.
⏰ Time Codes:
00:00 – Introduction to AI Infrastructure and Social Implications
01:50 – Jonathan’s Refined Taste In Coffee
04:16 – East Coast Food Culture – Don’t ask for Hawaiian Pizza
06:11 – Tech Cycles, When Will GPUs become a commodity?
13:30 – Overbuilding Fiberoptics lines
18:16 – Firing Money Losing Customers
25:50 – AI Companion Teaching Social Skills & How To Date
29:00 – $10k A Month On AI Girlfriends
33:10 – Future of AI in Productivity Tools
36:40 – AI Work Assistant For Helping & Mentoring Employees
43:00 – Manor Lords – One Person Game; $21M In Revenue
51:38 – Discord Community: GPT Based Game
56:26 – Generative AI Games & Stories
🏷️ Hashtags
#AIDiscussion #TechCulture #AIInfrastructure #AICompanions #ProductivityTools #GamingAI #CommunityBuilding #EthicalAI
Googler reacts to MKBH’s Rabbit R1 Review, discusses the benchmark that shows humans can accomplish 72% of the tasks, while the best models can only achieve 12.24%. The hosts emphasize the importance of the AI agent consistently delivering results and express disappointment in the Rabbit R1’s performance. They also discuss the challenges in AI agent research and the limitations of current large language models.
Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carta, Splunk, Wealthfront, Adobe, and more.
Find more AI Agent research here: https://www.youtube.com/watch?v=5Vsm6I3SbdY&t=745s
Chapters
00:00 Introduction and Overview of Rabid R1
07:01 The Limitations of Current AI Agent Research
14:05 Exploring Alternative Options for Task Automation
#mkhb #rabbit #ai #aiagents
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