Mike Hong @MichaelJHong Twitter profile | Pikagi

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Mike Hong

@MichaelJHong

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I build AI applications for B2B. Founder at @evioslab . Partner @chilantro .

Austin, TX

https://t.co/wEVmgLBXtP

Joined March 2011

Don't wanna be here? Send us removal request.

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@MichaelJHong

Mike Hong

5 months

How to convince your wife in the middle of cold winter why "we" should buy 2 x Nvidia 4090s: 2 Nvidia 4090s x 400 Watts = 800 Watts x 3600 seconds (per hour) = 2,880,000 Watts-seconds / 1054 = 2,739 BTUs per hour We can keep our heater off at our study :-)

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@MichaelJHong

Mike Hong

3 months

Once upon a time… GPU was feeling a bit fragmented & needed some parallel processing, so it went to Therapy Processing Unit (TPU) for tensor training. Then it met IPU at therapy and was like… whoa, I thought I live in the Matrix… Feeling a bit less fragmented, GPU called

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@MichaelJHong

Mike Hong

7 months

e/acc - which one of you geniuses came up with it?

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@MichaelJHong

Mike Hong

6 months

Words have so much meaning in our lives. It can inspire us, make us feel loved and uplift us. It can also demotivate us, exacerbate fear, and alienate us. These are the words I've observed in AI headlines just from today: doom death cannot weapons strikes urgent ban concerns

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@MichaelJHong

Mike Hong

6 months

Someone just told me that global data consumption & creation will hit 1 Yottabytes in 3 yrs with AI/ML model development in the future. To put that into context, a single yottabyte could stream high definition (1GB/hr.) video continuously for over 114,100 years, about 1,426

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@MichaelJHong

Mike Hong

6 months

Reduce spam by adding "+" after your email when signing up to things, e.g. yourname+freetrial @NewCo .com If "freetrial" later appears from a different sender, the original site likely sold your address. You can reach out politely to "freetrial" to remove you.

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@MichaelJHong

Mike Hong

2 months

Why don’t we integrate the backdrop technique directly into the chunker? Anyone built something like this?

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@MichaelJHong

Mike Hong

7 months

Leaked GPT-4 pricing is fake. But… wouldn’t it be nice?

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@MichaelJHong

Mike Hong

6 months

“Apache Airflow is a work flow management. Actually, it is more like a job scheduler on steroids. When it comes to ETL, it relies on other tools and scripts to do the heavy lifting, it’s like a party planner that brings all the right people together for a grand event, but it

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@MichaelJHong

Mike Hong

6 months

If we can get a system under $20K capable of handling payloads over 30 lbs... I think we are ready for cost effective actuators and end effectors with higher torque & payload. Kuka & Fanuc, are you ready to tier-down now?

@zipengfu

Zipeng Fu

6 months

Introduce 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐋𝐎𝐇𝐀🏄 -- Learning! With 50 demos, our robot can autonomously complete complex mobile manipulation tasks: - cook and serve shrimp🦐 - call and take elevator🛗 - store a 3Ibs pot to a two-door cabinet Open-sourced! Co-led @tonyzzhao , @chelseabfinn

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@MichaelJHong

Mike Hong

6 months

When should you use or not use GraphQL?

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@MichaelJHong

Mike Hong

7 months

my X feed blowing up with AI influencers.

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@MichaelJHong

Mike Hong

7 months

When something is "AI-powered", how do you know if it's actually using AI? Here's a quick stress test.

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@MichaelJHong

Mike Hong

1 year

How to validate whether if someone is actually using AI.

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@MichaelJHong

Mike Hong

1 month

To fine-tune or not to fine-tune, that is the question: Whether 'tis nobler to prove thy worth, before tweaking and adjusting, or to take a model as it is, and risk the slings and arrows of outrageous errors... To prove, to test, to validate, and then to fine-tune, ay, there's

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@MichaelJHong

Mike Hong

7 months

Breakfast & coffee. Data. Data. Data. Data.

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@MichaelJHong

Mike Hong

7 months

What if every digital content, i.e. posts on X carried an intelligent digital annotator?

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@MichaelJHong

Mike Hong

6 months

Is anyone working on quantum computers? Apple's work on LLM in a flash is pretty cool near-term. But what's really exciting for me is quantum computing and how it would impact AI ops in the next 10 - 20yrs. Imagine computers

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@MichaelJHong

Mike Hong

2 months

Any recommendations for serverless GPUs? We’ve tried - Banana BaseTen Replicate Inferless Cloudflare Modal We need scale & ease of use…

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@MichaelJHong

Mike Hong

7 months

The egg test on Grok.

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@MichaelJHong

Mike Hong

7 months

122 years of recorded history: - Automobiles - Airplanes - Antibiotics - Nuclear energy - Personal computers - Internet - Smartphones - Social Media - EVs & RE - CRISPR - Reusable rockets - Quantum computers 1901 - 2023, only .0049% of the full history of civilization...

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@MichaelJHong

Mike Hong

5 months

guys, don't do this...

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@MichaelJHong

Mike Hong

7 months

Just as customers request specific dishes from the menu, clients in a computer network request specific data/services from the server. It can be for web pages, files, data processing, etc... that the server provides. Now.. in 10k zoomed out view, how do restaurants start?

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@MichaelJHong

Mike Hong

8 months

@anothercohen Are you sure this wasn't on Sunday?

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@MichaelJHong

Mike Hong

3 months

2024…. January 🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🤦‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️😴 February 🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🤷‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️💤 March 🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🏃‍♂️🙏🏃‍♂️

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@MichaelJHong

Mike Hong

3 months

Then Jim Cramer came along… THE END.

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@MichaelJHong

Mike Hong

1 year

We are moving towards the era of scaling synthetic data ahead of semi-conductors.

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@MichaelJHong

Mike Hong

8 months

@anothercohen oh... they close on Sundays...

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@MichaelJHong

Mike Hong

7 months

I agree. Building “enduring” AI applications requires industry-specific, vertical approach. I think the concept of TAM is not static, it’s dynamic. I’ve rarely seen successful businesses that execute first with TAM. They generally start with SOM/PMF, SAM & work their way towards

@christinkers

christine kim

7 months

We are at the early innings of an incredible period of innovation. I believe vertical specialization and domain-tuned AI will be key to building enduring applications. Here are takeaways from my post on why the moment for Vertical AI is now.

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@MichaelJHong

Mike Hong

3 months

HPU always talked about how he always knew HPUs that knew QPUs that knew RDUs.

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@MichaelJHong

Mike Hong

7 months

To sum it all up. There is a clear similarity that resonates across every sector, businesses & industries. It's always about customers, people and quality of service or product. It centers around - "Who are we here to serve?"

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@MichaelJHong

Mike Hong

1 year

It’d be nice to see all the branches converge at one point. Anyone working on routers?

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@MichaelJHong

Mike Hong

1 year

1. GPT-3.5 & 4 2. Falcon 40-B 3. MPT-7B 4. Cerebras-GPT 3. RedPajama-INCITE 4. BLOOM 5. Dolly 6. Flan-T5 7. StableLM-Base 8. Camel

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@MichaelJHong

Mike Hong

7 months

What is the statistical likelihood of cybertruck actually needing bullet proof doors?

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@MichaelJHong

Mike Hong

1 year

There are so many articles and posts about developing a “perfect” prompt. There is no such thing as a “perfect” prompt. What’s important is having a process to get the output you desire for your own specific use case.

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@MichaelJHong

Mike Hong

7 months

I found a really cool mushroom while hiking. Can I eat this?

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@MichaelJHong

Mike Hong

7 months

Can it reason? If it's looking for patterns in massive amounts of data and using these patterns to make decisions + learning from it, it may be using AI.

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@MichaelJHong

Mike Hong

7 months

This an example of AI companies’ liability and risk. An app that could prove useful but also create a tremendous liability.

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@MichaelJHong

Mike Hong

1 year

Now available on iOS.

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‎Introducing ChatGPT for iOS: OpenAI’s latest advancements at your fingertips. This official app is free, syncs your history across devices, and brings you the newest model improvements from OpenAI....

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@MichaelJHong

Mike Hong

1 year

LLMs not commercially licensed: 1. LLaMa 2. Alpaca 3. Vicuna 4. Galactica 5. Koala LLMs that are available for commercial use:

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@MichaelJHong

Mike Hong

7 months

We can go on and on, but things do not all align and work on first day. We all spend heavy amount of time debugging and optimizing.

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@MichaelJHong

Mike Hong

7 months

Can it move? Does it move without help? If it moves based on what it sees and hears and does not move on a programmed path, it may be using AI.

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@MichaelJHong

Mike Hong

6 months

@shashankydv7 TBH, I don’t know. We are poor predictors of future. Synthetic data makes yottabytes not as science fiction-y, but realistically, it’s not just the data consumption/creation. We’ll need breakthroughs in energy efficient storage, materials for chips, etc… I just think that 3 yrs

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@MichaelJHong

Mike Hong

1 year

Can you create a pun on AI? GPT-4: Why did the AI go to school? Because it wanted to become a deep “learner”! Bard: What do you call an AI that’s always getting lost? A navigation unit.

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None of the above

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@MichaelJHong

Mike Hong

5 months

@Clary_aiaiai @Momo_aiaiai Say yaaas @Clary_aiaiai 🤭

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@MichaelJHong

Mike Hong

7 months

Then there's UI/UX in restaurants, which is essentially stripped down to "How do customers feel when they walk into the restaurant?" This is akin to the UI/UX in tech. Choice of lighting, music, table, walls.... Choice of colors, layout and the experience....

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@MichaelJHong

Mike Hong

1 year

175B to 540B parameters within the course of 2021 - 2022. Anyone have any idea what 2022 - 2023 looks like?

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@MichaelJHong

Mike Hong

1 year

Taking this home with me.

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@MichaelJHong

Mike Hong

7 months

@andruyeung Best of luck. Attended one of your meetups in the past, you bring great value to the community.

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@MichaelJHong

Mike Hong

1 year

What other LLMs out there?

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@MichaelJHong

Mike Hong

6 months

@randix93 Qq, in your experience - with complex app requirements, do you think ingress/egress cost savings outweigh the additional costs of running GraphQL? Trying to assess efficiency, dev ops, costs…

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@MichaelJHong

Mike Hong

7 months

@BlasikRandy Yes. Tooltip to display bias, context, etc…

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@MichaelJHong

Mike Hong

7 months

@TruttMD Ahh… yes, did not think about the use case outside the US. Thanks for the insight.

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@MichaelJHong

Mike Hong

7 months

@BlasikRandy Holiday shoppers on shopping cart rage? 🤔

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@MichaelJHong

Mike Hong

7 months

@freegeneralist Glad it brings value!

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@MichaelJHong

Mike Hong

7 months

Can it hear? Does it respond in a sensible way that's useful? If it's translating what you say, it may be using speech recognition.

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@MichaelJHong

Mike Hong

7 months

Each functional component in the restaurant from fryer to serving lines, plays an important role. Similarly in tech, every functional component-from database to application servers, and APIs play a vital role.

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@MichaelJHong

Mike Hong

1 month

@sirshibaninja Not yet.

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@MichaelJHong

Mike Hong

6 months

@kuzetsa I think resource hurdles can be eventually overcome through innovation. My short-term linear concerns are more or less centered around execution & timeline.

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@MichaelJHong

Mike Hong

1 month

@SeanMollet Would you mind elaborating?

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@MichaelJHong

Mike Hong

7 months

@gdb 🙌🏻

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@MichaelJHong

Mike Hong

1 year

UI improvement.

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@MichaelJHong

Mike Hong

6 months

@_Martin_QL_ Cool. I’m following you for updates. Would love to see what you build in the future!

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@MichaelJHong

Mike Hong

1 month

@SeanMollet Got it. Thanks for your insight.

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@MichaelJHong

Mike Hong

1 year

@nerddoingsocial 🤦‍♂️

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@MichaelJHong

Mike Hong

7 months

@alvarobartt 🙌🏻

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@MichaelJHong

Mike Hong

1 year

Learn how to deploy AI for business impact 🚀

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The 2023 Zeitgeist Report - Generative AI and Best Practices for Enterprise Adoption - Event |...

About the Tech TalkIn this talk, we'll discuss the results of the 2nd edition of Scale Zeitgeist: AI Readiness Report. Scale surveyed more than 1,600 executives and ML practitioners on the challenges...

exchange.scale.com

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@MichaelJHong

Mike Hong

7 months

Can it see? If it can identify what it sees and use computer vision & image processing, it may be using AI.

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@MichaelJHong

Mike Hong

1 year

Lower cost, longer testing without any fine tuning. 1024 tokens to execute 2048 token inference. Instead of adding position embeddings at the bottom stack, add linear bias to each attention score.

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GitHub - ofirpress/attention_with_linear_biases: Code for the ALiBi method for transformer language...

Code for the ALiBi method for transformer language models (ICLR 2022) - ofirpress/attention_with_linear_biases

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@MichaelJHong

Mike Hong

7 months

Speaking of APIs, in restaurants, a similar role is played by Expos (expediters). They facilitate communication between BOH & FOH. Just like APIs enable different systems to interact, Expos ensure that order from Ubereats, online, dine-in are accurately prepared and served.

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@MichaelJHong

Mike Hong

6 months

@JustDeeevin Works for other email domains as well. Sometimes, companies narrow down the allowlist to prevent “+” usage.

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@MichaelJHong

Mike Hong

8 months

@nearcyan Love this. How are handling the images? Are you scraping the first image of the content?

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@MichaelJHong

Mike Hong

1 year

My favorite stack.

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@MichaelJHong

Mike Hong

6 months

@Manitcor Got it. For simple app, It’d be an overkill.

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@MichaelJHong

Mike Hong

1 year

@hey_alexcodes +

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@MichaelJHong

Mike Hong

7 months

Can it read? If it reads what you type, respond in a sensible way that's useful and can analyze it for patterns, it may be using NLP.

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@MichaelJHong

Mike Hong

5 months

@mikecane Haha. Yes, she then completely broke down my logic by explaining to me the costs & environment impact of running GPUs all day… They are always right, you know…

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@MichaelJHong

Mike Hong

1 year

How to keep up to date on Openai's latest blogs and developments -

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@MichaelJHong

Mike Hong

9 months

@nickgraynews Kimchi Fries

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@MichaelJHong

Mike Hong

10 months

@chiefaioffice Labs

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@MichaelJHong

Mike Hong

13 days

@dotinvoke Replicate is great. Trying to lower latency & cost & cold start.

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