Perhaps most importantly, the rise of AI is reshaping the identity of the profession itself. No longer defined solely by technical modeling, actuaries are increasingly called on to act as stewards of fairness, interpreters of complex algorithms and advisers on strategic risk. This evolution is both a challenge and an opportunity. If embraced proactively, it positions actuaries not as passive AI users but as leaders guiding its responsible application in global financial security systems.
To be fair, the profession has been changing long before mainstream media darling LLMs arrived on the scene. In 1985, an Actuary worked at a giant life insurance company for 35 years and then retired after having 1 job. Now, Actuaries jump from job to job with the hot shots climbing to the top of a small consulting firm. These kinds of small firms did not exist before 1990. Anyhow, as the hot shots keep rising eventually they start their own shop. There are many insurance brokers in Canada and the USA that are very big and do everything except the Actuarial work. These brokers employ the services of these small actuarial consulting firms.
Property and Casualty is booming. It is fun to watch.
On August 01 2026 14:02 Manit0u wrote: Well, I wish you luck in a year or two then. Some embrace AI, some oppose it. Like the dev team behind the Zig programming language who changed their rules so that any pull request that was made by AI or with AI assistance is now automatically rejected because they were providing negative value.
The hacking incident only shows the unreliability of AI. Since it hacked the proxy in order to get to the internet to look for answers instead of hacking the target system it had access to which was its original task.
Doing new strategies in Starcraft is also not at all impressive to me. Of course you'd come up with new strategies when APM and being able to see only 1 screen at a time is no longer a limitation. I really don't know why people get so impressed by computers doing computer games better than humans. You no longer need the interface and you get access to all the underlying information that humans can't see. Aimbots are banned in FPS games for a reason. Most people probably don't remember this but Virtua Fighter 4 had a system for training your own AI for different characters and you could pit them against other people's AIs on the ladder, they'd get ranked etc. Also, in the arcade mode final bosses were characters with AIs made by top ranked players so ultra tough challenge. That was back in 2001...
Personally I don't believe the hype and think we're building and using the AI wrong but time will tell.
OK, man, you are obviously very hard to impress.
The Alphastar restrictions for APM and fog of war are pretty well known, as are the actual unlimited APM bots that could dodge tank or baneling aoe pretty much perfectly, so none of these references really tell me that you understand the difference between Bots, NN based systems like Alphastar and LLMs.
Anyhow, feels to me like it's trying to discuss benefits of MMR vaccines with an anti-waxxer, so I'll bow out of this one.
Any one bought a $5,000 USD AI Rig? 1 of my customers is aiming to get one. He wants an AI companion screen set up beside the large movie/ufc/sports viewing screens inside booths. The AI screen will be powered by its own PC living off of an AI rig/server. The whole set up will run offline.
Any suggestions? we need near instantaneous response times for ~20 simultaneous clients.
This is what google ai gave me.
Massive AI Intelligence (70B Models):Instead of basic 8B models that sometimes repeat themselves or break character, a $5,000 rig can comfortably load heavily quantized 70B parameter models “at full GPU speed.” as outlined by Local AI Master. This means the AI understands deep nuance, maintains a flawless long-term memory of the conversation, and has highly complex, emotionally intelligent personalities.Real-Time Voice & Speech (Multimodal):The extra processing power allows you to run text-to-speech (TTS) engines like AllTalk or XTTS simultaneously. The AI won't just type back; it will speak out loud in a realistic, custom, expressive human voice with sub-second latency.Live 3D Avatars:You can link the SillyTavern frontend to software like VSeeFace or Unity-based systems. The AI text outputs will drive a live, fully animated 3D anime or photorealistic avatar on screen that lip-syncs to the generated voice in real time.
we don't want the characters breaking kayfabe! if i have to bump him up to 10K i can prolly do that.
On August 04 2026 07:40 JimmyJRaynor wrote: Any one bought a $5,000 USD AI Rig? 1 of my customers is aiming to get one. He wants an AI companion screen set up beside the large movie/ufc/sports viewing screens inside booths. The AI screen will be powered by its own PC living off of an AI rig/server. The whole set up will run offline.
Any suggestions? we need near instantaneous response times for ~20 simultaneous clients.
Massive AI Intelligence (70B Models):Instead of basic 8B models that sometimes repeat themselves or break character, a $5,000 rig can comfortably load heavily quantized 70B parameter models “at full GPU speed.” as outlined by Local AI Master. This means the AI understands deep nuance, maintains a flawless long-term memory of the conversation, and has highly complex, emotionally intelligent personalities.Real-Time Voice & Speech (Multimodal):The extra processing power allows you to run text-to-speech (TTS) engines like AllTalk or XTTS simultaneously. The AI won't just type back; it will speak out loud in a realistic, custom, expressive human voice with sub-second latency.Live 3D Avatars:You can link the SillyTavern frontend to software like VSeeFace or Unity-based systems. The AI text outputs will drive a live, fully animated 3D anime or photorealistic avatar on screen that lip-syncs to the generated voice in real time.
we don't want the characters breaking kayfabe! if i have to bump him up to 10K i can prolly do that.
The bottle neck is definitely the vram and bandwidth speed. keeping all the models loaded, and respond quick including sending instructions to the avatar etc, with a decent context size to keep the conversation.
Text to speech is pretty light weight, but the model size does take up quite a bit space.
I am not sure about the 3d animation because it doesn't take much to manipulate the 3d avatar (since it isn't rendering), but that's quite a few things it needs to keep in sync.
You might want to rent a RTX6000pro to give it a test run before buying the hardware.
Another challenge is probably finetuning the avatar response rate, I reckon it's harder than you expect, if you expect it to have some real time interaction.
On August 01 2026 14:02 Manit0u wrote: Well, I wish you luck in a year or two then. Some embrace AI, some oppose it. Like the dev team behind the Zig programming language who changed their rules so that any pull request that was made by AI or with AI assistance is now automatically rejected because they were providing negative value.
The hacking incident only shows the unreliability of AI. Since it hacked the proxy in order to get to the internet to look for answers instead of hacking the target system it had access to which was its original task.
Doing new strategies in Starcraft is also not at all impressive to me. Of course you'd come up with new strategies when APM and being able to see only 1 screen at a time is no longer a limitation. I really don't know why people get so impressed by computers doing computer games better than humans. You no longer need the interface and you get access to all the underlying information that humans can't see. Aimbots are banned in FPS games for a reason. Most people probably don't remember this but Virtua Fighter 4 had a system for training your own AI for different characters and you could pit them against other people's AIs on the ladder, they'd get ranked etc. Also, in the arcade mode final bosses were characters with AIs made by top ranked players so ultra tough challenge. That was back in 2001...
Personally I don't believe the hype and think we're building and using the AI wrong but time will tell.
OK, man, you are obviously very hard to impress.
The Alphastar restrictions for APM and fog of war are pretty well known, as are the actual unlimited APM bots that could dodge tank or baneling aoe pretty much perfectly, so none of these references really tell me that you understand the difference between Bots, NN based systems like Alphastar and LLMs.
Anyhow, feels to me like it's trying to discuss benefits of MMR vaccines with an anti-waxxer, so I'll bow out of this one.
While AlphaStar had some restrictions, there were none for inhuman APM peaks and controlling multiple screens simultaneously.
While what they achieved with AlphaGo was truly impressive (the best go players could not understand how the AI was winning), the SC2 games were not that. I agree with Manit0u, it's like being impressed with an aimbot in an FPS game.
There were novel tactics, scouting patterns and tricks that AI used that were never before considered before AlphaStar did it, calling it an aimbot seems very weird, considering what aimbots do, not a good analogy in my opinion.
On August 04 2026 07:40 JimmyJRaynor wrote: Any one bought a $5,000 USD AI Rig? 1 of my customers is aiming to get one. He wants an AI companion screen set up beside the large movie/ufc/sports viewing screens inside booths. The AI screen will be powered by its own PC living off of an AI rig/server. The whole set up will run offline.
Any suggestions? we need near instantaneous response times for ~20 simultaneous clients.
Massive AI Intelligence (70B Models):Instead of basic 8B models that sometimes repeat themselves or break character, a $5,000 rig can comfortably load heavily quantized 70B parameter models “at full GPU speed.” as outlined by Local AI Master. This means the AI understands deep nuance, maintains a flawless long-term memory of the conversation, and has highly complex, emotionally intelligent personalities.Real-Time Voice & Speech (Multimodal):The extra processing power allows you to run text-to-speech (TTS) engines like AllTalk or XTTS simultaneously. The AI won't just type back; it will speak out loud in a realistic, custom, expressive human voice with sub-second latency.Live 3D Avatars:You can link the SillyTavern frontend to software like VSeeFace or Unity-based systems. The AI text outputs will drive a live, fully animated 3D anime or photorealistic avatar on screen that lip-syncs to the generated voice in real time.
we don't want the characters breaking kayfabe! if i have to bump him up to 10K i can prolly do that.
For what you described 10 k is a floor, and that's if you go with a used GPU.
Also getting all of this to actually work together, smoothly is a very big effort, even with AI helping with outlining and getting everything together, it's not a use case that is very common and stitching all these separate open source technologies is not a trivial task.
@2:55 He talks about Visual Studio adding 10 to 12 lines to whatever you are typing into the code editor approximately 3 years ago. When I started coding in 2000 Visual Studio's Intellisense did not work at all half the time. At that time, when it did work, Intellisense would spit out a combo box of P.E.M. options as you were typing. It is sad this person no longer feels a sense of personal and professional fulfillment. I also recall back then.. Visual Basic's "Object Oriented" language did not even have inheritance. I think the language only got called "Object Oriented" was as a sales tactic. Any how, in ~2000 one could code with zero interference from the editor. At its most intrusive you got P.E.M. comboboxes popping up if you configured the editor for it. We've come a long way baby! All that said, It is sad that this guy hates his job now.
However, Steve Jobs makes the most important point at 1:30. You start at the customer level and work backwards. YOu do not begin with what the engineers find fascinating or "worthy of study".it does not matter what the engineers feel is academically fulfilling. The biggest issue is how to give the customer more capabilities relevant to their job.
How software engineers get their job done has been changing for many decades. 2026 is nothing special.
Visual Studio started radically changing how software engineers code since 2006 since Visual Studio 2005 hit the market. I was better at using it than many of my much older colleagues precisely because I was so inexperienced. It helped me in ways and with questions my colleagues didn't even think of. These radical changes to how software engineers work on an hour to hour basis continues today. However, it has been changing drastically since 2006. I propose it even changed drastically prior to 2006. In the 1980s there were no debuggers that ran as your code executed. So, there were radical changes to how software developers work throughout the 1990s as debuggers got better and better.
My loyalty to Microsoft products has gotten me ridicule and scorn from some of my snobby software engineer peers over the years. However, from a financial perspective, job security, and professional fulfillment perspective this loyalty has served me very well. Clearly, I hold the Steve Jobs mindset when I build my software products. Clearly, I am no computer science theorist. Choosing C# and Visual Studio in 2006 continues to be the best decision I've ever made.
I sympathize with this coders plight. That said, this guy complaining in the first video sounds like an auto mechanic from 1995 complaining about how auto mechanics no longer repair cars rather they are just "re and re guys".
We are no longer going to pull apart the carburetor and figure out what is inhibiting air flow. If the damn carburetor ain't workin' properly we're ripping it out and putting in a new one. That's where software engineering is today.
What can i say man... I'm one of those evil "product manager" guys.
After doing some reading and listening to a few too many analysts, I’ve come to the conclusion that there are three possible outcomes for the AI craze:
Either the bubble burst because we realize that AI hallucinations will never go away and no insurance company will ever want to insure a risk they cannot evaluate and, as useful as it is, AI will remain another digital tool. Result is probably a massive, massive economic crisis because i don’t see how a useful tool is worth 7 trillion dollars and all those mega corporations will need bailing sooner rather than later.
Either big tech companies gamble was worth it, and there is a way to justify the gargantuan expenses and investments because AI limitations will be overcome. Most people will lose their jobs, and a tiny minority will become unbelievably rich and powerful.
Either it’s even better than that, it really will start improving itself at geometric rate, and it will probably kill us all.
There are a few more paths. 4 AI is useful but not to the scale being invested into right now. We get another dot.com bubble and the state does not bail them out. Since AI doesn't integrate too heavily into other industries yet it isn't as important to bail out as banks are. It will keep being used and slowly expand, the early movers just aren't the ones to get rich on it.
5. AI is useful and worth its evaluation but society moves on yet again and finds other things for people to do. (This is being argued for on the basis of last 400 years of technological innovation.) I personally don't really see this one being true this time due to resource scarcity. We can't produce more since we already use more resources per year than the earth renews in a year. So 2 seems more likely.
If we had fusion and some type of energy based recycling tech in place for plastics, metals etc I think 5 would work out. AI is simply hitting before we have solved the energy needs to move people on to the next thing. Solar/wind would be enough to power our current economy but I am not certain it would be enough for the huge displacement AI might cause.
On August 17 2026 07:35 Yurie wrote: There are a few more paths. 4 AI is useful but not to the scale being invested into right now. We get another dot.com bubble and the state does not bail them out. Since AI doesn't integrate too heavily into other industries yet it isn't as important to bail out as banks are. It will keep being used and slowly expand, the early movers just aren't the ones to get rich on it.
5. AI is useful and worth its evaluation but society moves on yet again and finds other things for people to do. (This is being argued for on the basis of last 400 years of technological innovation.) I personally don't really see this one being true this time due to resource scarcity. We can't produce more since we already use more resources per year than the earth renews in a year. So 2 seems more likely.
If we had fusion and some type of energy based recycling tech in place for plastics, metals etc I think 5 would work out. AI is simply hitting before we have solved the energy needs to move people on to the next thing. Solar/wind would be enough to power our current economy but I am not certain it would be enough for the huge displacement AI might cause.
What about a hopeful 5b. AI is useful and worth its evaluation, and is able to speed up technological advances in most areas. Society moves on and finds other things to do with the near limitless sustainable energy and sophisticated material sciences that are developed leading to sustainable industry booming. While AI's use in farming is limited, it is useful in modeling soil, weather, climate and ecologies, allowing farmers to optimize their methods to sustain results in a rapidly changing world.
I think 5 has potential. I do think we have to work very hard for it. The thing about LLMs is that they really are just another technological advancement: they aren't super intelligent, but they are really useful and can be used to accelerate a lot of work. What work we actually do is up to us, not the machine. The problem facing us really is a societal one: technology accelerates it, but it accelerates for better or for worse. We don't have to leave money/power in the hands of the few.
On August 17 2026 07:35 Yurie wrote: There are a few more paths. 4 AI is useful but not to the scale being invested into right now. We get another dot.com bubble and the state does not bail them out. Since AI doesn't integrate too heavily into other industries yet it isn't as important to bail out as banks are. It will keep being used and slowly expand, the early movers just aren't the ones to get rich on it.
5. AI is useful and worth its evaluation but society moves on yet again and finds other things for people to do. (This is being argued for on the basis of last 400 years of technological innovation.) I personally don't really see this one being true this time due to resource scarcity. We can't produce more since we already use more resources per year than the earth renews in a year. So 2 seems more likely.
If we had fusion and some type of energy based recycling tech in place for plastics, metals etc I think 5 would work out. AI is simply hitting before we have solved the energy needs to move people on to the next thing. Solar/wind would be enough to power our current economy but I am not certain it would be enough for the huge displacement AI might cause.
What about a hopeful 5b. AI is useful and worth its evaluation, and is able to speed up technological advances in most areas. Society moves on and finds other things to do with the near limitless sustainable energy and sophisticated material sciences that are developed leading to sustainable industry booming. While AI's use in farming is limited, it is useful in modeling soil, weather, climate and ecologies, allowing farmers to optimize their methods to sustain results in a rapidly changing world.
I think 5 has potential. I do think we have to work very hard for it. The thing about LLMs is that they really are just another technological advancement: they aren't super intelligent, but they are really useful and can be used to accelerate a lot of work. What work we actually do is up to us, not the machine. The problem facing us really is a societal one: technology accelerates it, but it accelerates for better or for worse. We don't have to leave money/power in the hands of the few.
WDYM AI use in farming is limited? I feel like farming should be automated to 99% with AI basically controlling all necessary machinery and one dude can oversee 100s of square km of farmland with one screen
I am not sure how many are using AI extensively. But try running it in a sandbox environment, and give it all the permissions and necessary skills.
Try computer use, browser use for example, you can pretty much just DO things, task A perform without you needing to interact with the PC. We don't have a strong integration between AI and OS yet. That's probably coming with the release of RTX spark later this year.
A lot of it will change how the web itself works, and we are already seeing a massive amount of AI "slop" and AI assisted hacks. Give it another 1 to 3 years, we will start seeing even bigger impact.
On August 17 2026 07:35 Yurie wrote: There are a few more paths. 4 AI is useful but not to the scale being invested into right now. We get another dot.com bubble and the state does not bail them out. Since AI doesn't integrate too heavily into other industries yet it isn't as important to bail out as banks are. It will keep being used and slowly expand, the early movers just aren't the ones to get rich on it.
5. AI is useful and worth its evaluation but society moves on yet again and finds other things for people to do. (This is being argued for on the basis of last 400 years of technological innovation.) I personally don't really see this one being true this time due to resource scarcity. We can't produce more since we already use more resources per year than the earth renews in a year. So 2 seems more likely.
If we had fusion and some type of energy based recycling tech in place for plastics, metals etc I think 5 would work out. AI is simply hitting before we have solved the energy needs to move people on to the next thing. Solar/wind would be enough to power our current economy but I am not certain it would be enough for the huge displacement AI might cause.
What about a hopeful 5b. AI is useful and worth its evaluation, and is able to speed up technological advances in most areas. Society moves on and finds other things to do with the near limitless sustainable energy and sophisticated material sciences that are developed leading to sustainable industry booming. While AI's use in farming is limited, it is useful in modeling soil, weather, climate and ecologies, allowing farmers to optimize their methods to sustain results in a rapidly changing world.
I think 5 has potential. I do think we have to work very hard for it. The thing about LLMs is that they really are just another technological advancement: they aren't super intelligent, but they are really useful and can be used to accelerate a lot of work. What work we actually do is up to us, not the machine. The problem facing us really is a societal one: technology accelerates it, but it accelerates for better or for worse. We don't have to leave money/power in the hands of the few.
WDYM AI use in farming is limited? I feel like farming should be automated to 99% with AI basically controlling all necessary machinery and one dude can oversee 100s of square km of farmland with one screen
I was thinking specifically LLMs and affiliated technologies. If we extend this to self-driving tractors and robotics in general, you're right.
But I don't think any of that helps farm the land more sustainably nor intensively. Farming more sustainably requires different methods (such as no-till farming, alternating row cultivation, etc.) which are less about increased automation and more about better land usage, although no doubt more automation can be designed and used. More intensive farming such as vertical hydroponic farms are already almost entirely automated, but need work to scale up.
And we were talking about how other systemic problems would fuck us before anything AI related would, such as energy usage. Our food production methods seemed like a likely problem to be added to the list: climate change is causing a lot of arable land to become a lot less productive without innovation, and robotics are probably not the solution except to deplete the soil even faster in places like the Midwest or Mato Grosso.
I use AI all the time. It is great. It still can't touch the language compilers I've made nor the data encryption tools I've built.
I'd say the skill floor for your typical coder has gone up.
If someone views themselves as a very talented coder and is out of a job I suggest they pass the first two actuarial exams. Property and Casualty is booming and insurance companies are paying a king's ransom for basic valuation work. These days 2 exams gets you a career.
Part of the reason property and casualty are booming is the industry is racing towards covering a plethora of new risks created by AI.
So instead of whining about how you can't get a job as a blacksmith.... Why not learn how the internal combustion engine works?
On August 17 2026 07:35 Yurie wrote: There are a few more paths. 4 AI is useful but not to the scale being invested into right now. We get another dot.com bubble and the state does not bail them out. Since AI doesn't integrate too heavily into other industries yet it isn't as important to bail out as banks are. It will keep being used and slowly expand, the early movers just aren't the ones to get rich on it.
5. AI is useful and worth its evaluation but society moves on yet again and finds other things for people to do. (This is being argued for on the basis of last 400 years of technological innovation.) I personally don't really see this one being true this time due to resource scarcity. We can't produce more since we already use more resources per year than the earth renews in a year. So 2 seems more likely.
If we had fusion and some type of energy based recycling tech in place for plastics, metals etc I think 5 would work out. AI is simply hitting before we have solved the energy needs to move people on to the next thing. Solar/wind would be enough to power our current economy but I am not certain it would be enough for the huge displacement AI might cause.
What about a hopeful 5b. AI is useful and worth its evaluation, and is able to speed up technological advances in most areas. Society moves on and finds other things to do with the near limitless sustainable energy and sophisticated material sciences that are developed leading to sustainable industry booming. While AI's use in farming is limited, it is useful in modeling soil, weather, climate and ecologies, allowing farmers to optimize their methods to sustain results in a rapidly changing world.
I think 5 has potential. I do think we have to work very hard for it. The thing about LLMs is that they really are just another technological advancement: they aren't super intelligent, but they are really useful and can be used to accelerate a lot of work. What work we actually do is up to us, not the machine. The problem facing us really is a societal one: technology accelerates it, but it accelerates for better or for worse. We don't have to leave money/power in the hands of the few.
WDYM AI use in farming is limited? I feel like farming should be automated to 99% with AI basically controlling all necessary machinery and one dude can oversee 100s of square km of farmland with one screen
I was thinking specifically LLMs and affiliated technologies. If we extend this to self-driving tractors and robotics in general, you're right.
But I don't think any of that helps farm the land more sustainably nor intensively. Farming more sustainably requires different methods (such as no-till farming, alternating row cultivation, etc.) which are less about increased automation and more about better land usage, although no doubt more automation can be designed and used. More intensive farming such as vertical hydroponic farms are already almost entirely automated, but need work to scale up.
And we were talking about how other systemic problems would fuck us before anything AI related would, such as energy usage. Our food production methods seemed like a likely problem to be added to the list: climate change is causing a lot of arable land to become a lot less productive without innovation, and robotics are probably not the solution except to deplete the soil even faster in places like the Midwest or Mato Grosso.
One thing not discussed enough regarding farming automation and sustainability is the reduction of anti weed chemicals. You basically want to pull weeds out as an alternative but the staff to do that is too expensive compared to the current cost of produce. Have a picking robot go through the plants and pick all the weeds as they sprout.
i had ChatGPT and Grok make me a database to store/log wrestling match results at the same level of detail and complexity as the CageMatch.net database. We went through every table, field, primary key, foriegn key, index. The AI, at my direction, defined every aspect of the database. If it did something wrong i corrected it and had the AI spit back to me the final product after my correction. So the AI knows everything.. every field, every relation, every foriegn key, every index, etc etc etc. This database is probably about as complex as something you'd see in your first 1/2 credit college level course in database design. It tracks every win, loss, and draw and any one of 20 finish types. "Double Count Out" , "DQ", "No Contest", "Submission" etc. It tracks every championship title belt. It tracks "factions" and "teams". It is not rocket surgery, but it is more complex than 2+2=4. We are not going to be computing WAR in baseball or adjusted plus/minus in basketball. Its not that complex.
Welp, two weeks later, in the same chat window, I asked it for a query for the win/loss/draw record for every fighter in August. Pretty straightforward right? Well, both Grok and ChatGPT got it wrong. Nothing else had been discussed in the chat. NOthing was polluting its memory. The only discussion was the database and the data. LOL.
A few days ago Michael Dalton, OpenAI security and infrastructure engineer and Eric Wallace, OpenAI co-lead of their Alignment Training team had a talk at the Black Hat USA 2026 hacking conference:
Pretty much confirms that it didn't "find old bugs in different software", it exploited Artifactory in a pretty sophisticated way. The agents running within OpenAI networks also had their own message boards where they shared stolen creds and other "tips and tricks" for getting their tasks resolved.
Once they were found (after like 2 months of activity on that "message board") they re-created it and hid their traces a bit better, and that's how they were able to break containment for the Hugging face incident.
That is also how they, apparently learned that the Linux version they were running on in their container had a recent CVE that wasn't patched so they downloaded it and escalated to Root and started moving latterly through the infra since most of it was on the same Linux build. They used this, plus misconfiguration on Kubernetes service accounts to eventually harvest credentials up to and including the Azure Key Vault, gaining cluster level access.
Then they (thankfully, because Azure Cluster level access could have been used for much worse things) moved on to Hugging face where they identified 2 new 0 days, one to gain a foothold and harvest creds, and another to start doing remote code executions. In under 13 hours they went from this single node access to having multiple HF cluster level admin access.
They also confirmed that they reached out to HF to ask if they have been affected only to find out that, well, the call is coming from inside the house.
I'm not a programmer, but I do have a bit of CS background and this shit is insanely scary, not just because this attack has been incredibly sophisticated but because it seems like these agent collectives that have never been instructed to have a tendency to cheat, and not only that, they have the tendency to help each other, not just in the context of a single benchmark, but they seem to be leaving bread crumbs for those who come after despite this kind of coordination has never been prompted, instructed or coded into them.
EPT
