David Hood

DeepSeek's benchmarks are a paper mirage

@AnthropicAI New TYPE of AI model benchmark has Anthropic's models crushing the competition. This is a much better reflection of our usage of LLM's to solve real problems. AI Model World Domination Leaderboard: youtu.be/6hqLwCIOkrU

@Dhanush_Nehru Looks fantastic

When you ask a backend developer to make frontend

@tyingshoelaces_ Lots of useful and inconvenient truths in this one

My blog on the lie of #agent #frameworks in #ai is catching a bit of 🔥🔥🔥. I'm more excited about the AI Generated Video reviews 👇... Got some exciting news coming soon... tyingshoelaces.com/blog/agentic-f…

"There is not a single instance of an LLM that has created a superior version of itself" -- @pmarca youtu.be/hookUj3vkE4?si… I'll add that transformers (the T in GPT) are also about the same 500 lines of Python code that they were since Google released their paper in 2017... SLOW YOUR ROLL TALKING ABOUT AGI/ASI/ALL JOBS/ALL DEV JOBS/ETC COMING IMMINENTLY. Sorry, not sorry, for yelling. Yes, AI and LLM's provide a ton of new, unique value to the world, but the amount of hand-wavy AI nonsense is giga out of control.

@bindureddy It is going to be less than a year away for the next 10-20 years

Wow! OpenAI thinks AGI is less than a year way 😮 Great, It’s time to start quitting our jobs and start planning the post-AGI forever party! After all, they did say that this so-called AGI was going to do all the work, correct? 😂

@slow_developer They are weak sauce

What happened with GPTs? OpenAI announced plans to monetize them, allowing users to earn money. There was some hype, but it faded, and nobody talks about them anymore.

@icreatelife As the owner of a small account, I am completely unbiased when I say I agree

Follow more small accounts Engage with them Help them grow

@nickfloats Because Apple is and has been for a very long time giga overrated

How is Siri still so bad? I just don’t get it

@0xIlyy Buttons are fun

git add . git commit -m “feat: stuff” git push origin main What’s so hard about the git CLI? Are you stupid that you need buttons to click on?

@slow_developer More likely we will get them and they will only have marginal improvements

Imagine if we somehow don't get: - Gemini 2.0 - xAI Grok 3 - OpenAI full o1 Can we officially call it the AI Winter?

Can we please stop with "news" about what OpenAI, Google, etc "might" or "may" release? There's so much hand-wavy, wishful thinking going on right now. AI is very cool and provides real world value in many domains, but us nerds need to slow our roll big time.

@ThePrimeagen 70% of your followers are trolls

I need about 1.8 million dollars What should I do?

@Dr_Singularity Not without a different architecture from transformers

ASI before 2030? Yes No

Saying that everyone is going to build their own AI agents is like saying in 1975 that everyone is going to build their own computers. Yeah, I guess you could do that, but the agents that a regular Joe builds will be colossally less effective than ones built by software development professionals. This is another one of those "it sounds nice in theory, but is ridiculous in practice" ideas circulating around big tech.

So many of the use cases for AI/LLM's go beyond chat, but that is the frame that just about the whole world is looking at the technology through. Even with a tech slowdown in LLM's, there's still a lot of value to unlock. AI Agents are an extension on the chat perspective.

LLM's can create new recipes, but not new ingredients. Its outputs are seriously constrained by its inputs. Let's be realistic.

2025 AI Prediction: Companies will still struggle to make reliable AI agents because they will be unable to throw away the LLM-centric approach and, therefore, will not be able to make reliable solutions.

@bindureddy We've solved it for our use cases. The key is to stop building LLM-centric solutions where LLM's use deterministic coding as tools. Instead, flip it around and use LLM's as tools inside deterministic coding only at the places where deterministic coding won't work. Reliability++

All the AI hype has drowned out the important issue of LLM hallucination This remains the single biggest problem with AI While there are many mitigation techniques, it’s far from solved yet We won’t get to AGI without solving this hard problem