> The second group is one that thinks talking to a chatbot will replace senior developer

And the first group thinks that these tools will enable them to replace a whole team of developers.

I'd argue 2 types of users are

* People using it as a tool, aware of its limitations and treating it basically as intern/boring task executor (whether its some code boilerplate, or pooping out/shortening some corporate email), or as tool to give themselves summary of topic they can then bite into deeper.

* People outsourcing thinking and entire skillset to it - they usually have very little clue in the topic, are interested only in results, and are not interested in knowing more about the topic or honing their skills in the topic

The second group is one that thinks talking to a chatbot will replace senior developer

There's AI based 3d asset generation tools around. For example https://www.meshy.ai/ https://hyper3d.ai/ https://www.sloyd.ai/

Skill issue. The below is an excerpt from some of my early notes from a project spanning 2020-2022 using the babbage model, not even davinci. This is pre-"chat" or instruction tuned models. I have many more notes, including more code generation, mermaid graphs, spatial reasoning, in context learning examples, examples of using it in agentic ways to write a medium size code project that worked, etc. I have these historic records and can tell you improvements have been minimal. Do you have any historical records or just vibes, feelings, and a lack of skill? I can confidently tell you that what has improved is size of model required to get decent output (smaller) and more importantly, operator skill required to get decent output (lower). Beyond that, it is same old.

In the below, lines which are questions were me, paragraph following was gpt3-babbage. No stop tokens used, just manually breaking off generation when it began talking as me.

---

how do mobile phones work?

Mobile phones work by connecting to cellular networks, which are made up of a series of cell towers that are spread out across a wide area. When you make a call or use data, your phone will connect to the closest cell tower, which then connects you to the wider network. This connection allows you to access features such as calling and texting, as well as data services such as web browsing and streaming.

how do cell towers work?

Cell towers are the infrastructure used in cellular networks to transmit wireless signals. They are typically tall structures that house antennas and other equipment that enable wireless communications. Cell towers work by receiving and transmitting wireless signals over a certain frequency, which is then picked up by mobile devices like smartphones. The tower then passes the signal to a base station, which then routes it to its destination.

how do wireless signals work?

Wireless signals are transmitted using radio waves. These radio waves are generated by a transmitter and then received by a receiver. The transmitter converts an electrical signal into an electromagnetic wave, which is then sent out into the air and picked up by the receiver. The receiver then interprets the signal and converts it back into an electrical current or data that can be used by the device.

what are radio waves?

Radio waves are a form of electromagnetic radiation with wavelengths ranging from as long as one meter to as short as one millimeter. Radio waves are used for a variety of communication purposes, including radio and television broadcasting, cellular phones, radar, and satellite communications.

what is electromagnetic radiation?

Electromagnetic radiation (EM radiation or EMR) is a form of energy release in the form of waves or particles that travel through space. It includes visible light, infrared, ultraviolet, X-rays, microwaves and radio waves. All of these types of radiation are produced by the sun and other natural sources on Earth.

what is energy in the context of electromagnetic radiation?

Energy in the context of electromagnetic radiation is the amount of work done by a photon, which is equal to its frequency multiplied by Planck's constant. It is also referred to as radiant energy and is closely related to intensity and power.

what is a photon?

A photon is a particle of light, which is an elementary particle that is the basic unit of all forms of electromagnetic radiation, including light. Photons have no mass and no electric charge and travel at the speed of light.

give me the formula for photonic energy in latex format?

$$\frac{hc}{\lambda}$$

explain this formula $$\frac{hc}{\lambda}$$This formula is used to calculate the energy of a photon. It is calculated by dividing the product of Planck's constant (h) and the speed of light (c) by the wavelength (λ) of the photon. The result is the energy (E) of the photon in joules.

write a python script that solves for lambda in this formula

```python # Import the math library to use sqrt import math

# Define constants h = 6.626e-34 # Planck's constant in m2 kg / s c = 3.0e+8 # Speed of light in m/s E = 4.5e-19 # Energy of photon in joules

# Calculate lambda using the formula lambda = hc/E lambda_val = (hc)/E

# Print the result print('The wavelength of the photon is {} meters.'.format(math.sqrt(lambda_val))) ```

write a python script that solves this formula

```python

def calculate_energy(h, c, λ): energy = (h

c) / λ return energy

h = 6.626e-34 # Planck's constant in joules/second c = 3e8 # Speed of light in m/s λ = 500e-9 # Wavelength of the photon in m

energy = calculate_energy(h, c, λ) print("The energy of the photon is", energy, "joules.")

```

You do too. What makes you think the models are intelligent? Are you seriously that dense? Do you think your phones keyboard autocomplete is intelligent because it can improve by adapting to new words?

You, uh, wanna actually back that accusation up with some data there, chief?

Gosh, I really should attend LinkedIn University of Buzzwords...

I'm also for education for AI awareness. A big point on teaching kids about AI should also be a lot about how unreliable they can be.

I had a discussion with a recruiter on Friday, and I said I guess the issue with AI vs human is, if you give a human developer who is new to your company tasks, the first few times you'll check their work carefully to make sure the quality is good. After a while you can trust they'll do a good job and be more relaxed. With AI, you can never be sure at any time. Of course a human can also misunderstand the task and hallucinate, but perhaps discussing the issue and the fix before they start coding can alleviate that. You can discuss with an AI as much as you want, but to me, not checking the output would be an insane move...

To return to the point, yeah, people will use AI anyway, so why not teach them about the risks. Also LLMs feel like Concorde: it'll get you to where you want to go very quickly, but at tremendous environmental cost (also it's very costly to the wallet, although the companies are now partially subsidizing your use with the hopes of getting you addicted)..