Deep Research And More From New AI Models
Did you hate these annoying songs? Check out what new deep research AI tools can do.
It's all well and good to tell people to get on ChatGPT, or Claude, or Gemini, and get their hands dirty using an AI model – but some people want more detail. They want to know how to use the best new tools in a more granular way.
Deep research is one of the newest and most impressive functions of today's large language models. But most people haven't heard of it yet, let alone used it.
Ethan Mollick is someone I associate with the vanguard of AI research. With former MIT connections, Mollick represents a leading voice in this field. So I was reading his latest blog post about different models, and how to use them.
Mollick breaks down the most useful models for Claud, ChatGPT and Google in the following categories: 'chat,' 'work' and 'hard problems.'
Claude, he notes, is generally better for privacy, where you need to select for this in ChatGPT, and may compromise some functionality with Google.
Then Mollick embarks on a description of deep research capabilities that are baked into some of the newest models, but not yet available for free. This is so new that it's still paywalled and rationed for paying users.
The Promise of Deep Research Functionality
Deep research is available from OpenAI, and from Google, and from Anthropic, too.
When you look at the unveiling of the research function, you see a lot of reports around February.
So how do you access this kind of result?
I found a recent post about this from the 'OpenAI cookbook' in June, where the poster talks about downloading a Python SDK, and API work.
It turns out, though, that you can select 'deep research' in the prompt section of ChatGPT 4.5, if you are a paying Plus or Pro user, and get your deep research report that way.
Asking for Deep Research from ChatGPT 4.5
I wanted to try this for myself, so based on what I was experiencing in the moment, I centered on compiling a report of the most annoying songs from 1990 through 2025.
My query: 'please create a report on the most annoying music from 1990 until 2025, segmented annually.'
Simple, right?
First, ChatGPT asked me to clarify a few basic questions:
'To create a detailed report on the 'most annoying music' from 1990 to 2025, could you please clarify a few things:
And I answered:
'1. all of the above 2. US-based 3. multiple songs per year 4. Yes.'
'Thanks!' GPT responded. 'I'll compile a U.S.-focused report covering the most widely criticized, overplayed, or culturally mocked songs from 1990 to 2025. This will include multiple songs per year, along with context explaining why they were considered annoying—drawing from music critics, listener polls, memes, radio overplay complaints, and public opinion.'
Then the report started. Indeed, it took more than 10 minutes to compile, with CoT displays like 'searching 'Rico Suave': worst song' and 'looking for Macarena.'
Check Out GPT's Chain of Thought
Actually, here are some of the interesting CoT notes the system provided while doing research on dozens of sites (it spent a lot of time reading the Guardian!)
I'm mapping out recent headlines and thought pieces, like those from Global News and the Guardian, all noting "Baby Shark" as the most annoying song. Hm, that's interesting.
I'm preparing the list of most annoying songs from 1993-1995, considering "What's Up," "Cotton Eye Joe," "Macarena," and "Wonderwall." However, I'm thinking through the inclusion of other notable tracks like "Rico Suave" for earlier years.
(There's that 'Rico Suave' song again.)
I'm mapping out the hits and misses of 2001-2006, with 2005's viral sensations like "Crazy Frog" and "Photograph" by Nickelback taking center stage. Hm, that's interesting—these tracks seem to evoke strong reactions.
(Note how the model is actually 'taking notes' while researching, giving us little bits of personality along with the actual meat of the report.)
Here's a funny comparison:
I'm comparing the impact of Nickelback's "Rockstar" in 2006 to Soulja Boy's "Crank That" in 2007. The former was widely criticized, while the latter was loved by many, raising questions about musical taste over time.
A research-based note:
I'm digging through songs by genre and year, considering widespread opinion and specific examples to select the most frequently labeled annoying tracks.
I'm evaluating hits like Meghan Trainor's "All About That Bass" (2014) and Tyga's "Stimulated" (2015) for their ubiquity and frequency of being labeled annoying. Progressing through last five years gradually.
I'm digging through songs by genre and year, considering widespread opinion and specific examples to select the most frequently labeled annoying tracks.
I'm evaluating hits like Meghan Trainor's "All About That Bass" (2014) and Tyga's "Stimulated" (2015) for their ubiquity and frequency of being labeled annoying. Progressing through last five years gradually.
And then there was this:
'Noticing the challenge of time limitations, I'm figuring out how to balance inclusion of pivotal examples against the need for conciseness.'
So the model is actually trying to triage its work. This is next-level stuff.
Finally, GPT appeared to wrap up, dotting its I's and crossing its Ts:
'I'm checking to see if the 'Achy Breaky' song contains any references to anthropomorphic sharks.'
Eventually, I got the full report. It ranges dozens of pages, and provides great coverage of over a quarter century of horrible, terrible music. A few standouts, with years:
1990
1994
1997
Fast-forward a bit:
2013
2023
Some Thoughts on Voice Mode
Let's move back to the blog post: after delving into the above stuff, Mollick also covers the verbal capabilities of new systems that really change the interface. As he notes, you can talk to these models while you're in the car, or on a walk, or anywhere that you have the space and time.
I think verbal communication is going to finally make LLM responses 'real' to us. And that's all I have to say about that – for now.
I think all of this is deeply informing to people who want to be practical about LLM use. The deep research function in particular is something people will be learning about as time goes on. How many of us will figure it out before something new comes along that makes it obsolete?
In any case, this was an excellent guide to how to make the most of AI in today's environment.
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As he works his way back from an ACL tear, the 27-year-old might end up sitting out early in the season. We know Aiyuk can be a fantasy difference-maker when healthy — the only question is, how soon will he get back to form? Stashing him on IR and hoping he can contribute later is a worthwhile play at this point in the draft. My Pick: Bryant is yet another rookie added to my roster, but based on the comments coming out of Broncos' practices, the third-round pick should carve out a role in Sean Payton's ascending offense. While Denver's No. 1 target, Courtland Sutton, just signed a new deal, the pecking order behind him in the receiver room is up in the air. Beating out part-time players like Marvin Mims Jr. and Devaughn Vele doesn't seem like an insurmountable obstacle. It also doesn't hurt that Payton has compared Bryant to former Saints' star, Michael Thomas. Round 11 Pick Player Team 181 Will Shipley Ben Zweiman 182 Cameron Ward Jonathan Bassey 183 Jarquez Hunter Aaron Tan 184 Jacory Croskey-Merritt Matt Harmon 185 Michael Wilson Trevor Brigham 186 Chig Okonkwo Mo Castillo 187 J.J. McCarthy Jason Klabacha 188 Justice Hill Brett Rader 189 Cade Otton Scott Pianowski 190 Woody Marks Justin Boone 191 Brashard Smith Collin Brennan 192 Alec Pierce Dan Harris 193 Romeo Doubs Dan Titus 194 Mike Gesicki Jason Jung 195 Xavier Restrepo John Adams 196 Matthew Stafford Mike Graben 197 Jaleel McLaughlin Adam Hellwig 198 Tua Tagovailoa Brett Kundtz The fact that McCarthy fell all the way to the 11th round as the QB24 makes me worried people at Yahoo aren't reading my articles. After all, I wrote about McCarthy as one of the biggest breakout candidates at the quarterback position this year. The former first-round pick is healthy after a lost rookie season due to injury, he has an incredible supporting cast around him and Kevin O'Connell is a QB whisperer. Since taking over as the Vikings' head coach, O'Connell has helped Kirk Cousins, Joshua Dobbs, Nick Mullens and Sam Darnold all average QB14 fantasy stats or better when starting in this offense. Do we really think McCarthy is worse than all those passers? If he had lasted three more picks, he would have been my selection here. My Pick: With McCarthy gone, I took Marks, whose projection could rise dramatically if we find out Mixon is going to miss significant time. Texans head coach DeMeco Ryans told reporters he doesn't even want them talking about Mixon's injury, which seems like a strange approach if it wasn't a concerning ailment. Ryans also threw some cold water on Chubb's outlook by admitting he's not the same player he once was in the NFL. If Mixon's not available and Chubb is a declining veteran, Marks might have a chance to have a serious role in this backfield. Round 12 Pick Player Team 199 Juwan Johnson Brett Kundtz 200 Elijah Moore Adam Hellwig 201 Mason Taylor Mike Graben 202 Kyle Monangai John Adams 203 Darius Slayton Jason Jung 204 Sam Darnold Dan Titus 205 Pat Freiermuth Dan Harris 206 DJ Giddens Collin Brennan 207 Elijah Arroyo Justin Boone 208 Tyler Lockett Scott Pianowski 209 Dontayvion Wicks Brett Rader 210 Keenan Allen Jason Klabacha 211 Anthony Richardson Sr. Mo Castillo 212 Darren Waller Trevor Brigham 213 Dont'e Thornton Jr. Matt Harmon 214 KeAndre Lambert-Smith Aaron Tan 215 Jaylin Noel Jonathan Bassey 216 Andrei Iosivas Ben Zweiman After pick 200, finding players who will have an impact on your guillotine season can be difficult. These tend to be the first names you drop when other rosters get eliminated and sent to the waiver wire. It's fine to plug any holes or secure some insurance with backups in this range, but we're getting into longshot territory — so don't be afraid to aim for upside. For example, Anthony Richardson Sr. is earning some positive reports in camp and might have the early edge over Daniel Jones. We've witnessed Richardson's fantasy prowess before and if he can have a better command of the Colts' offense, he offers week-winning upside as a potential QB1. My Pick: The release of veteran Noah Fant before training camp opened the door for Arroyo to possibly start as early as Week 1. The second-round rookie excels as a pass-catcher and has been a very active part of the Seahawks' passing attack in practices. Whether that translates into regular production remains to be seen, but I'll gladly take a chance on him as my backup TE. Round 13 Pick Player Team 217 Raheem Mostert Ben Zweiman 218 Diontae Johnson Jonathan Bassey 219 Terrance Ferguson Aaron Tan 220 Aaron Rodgers Matt Harmon 221 Tahj Brooks Trevor Brigham 222 Elijah Mitchell Mo Castillo 223 Jordan Whittington Jason Klabacha 224 Tyler Shough Brett Rader 225 Sean Tucker Scott Pianowski 226 Jalen Royals Justin Boone 227 Isaac TeSlaa Collin Brennan 228 Marquez Valdes-Scantling Dan Harris 229 Dalton Schultz Dan Titus 230 Devin Neal Jason Jung 231 Ty Johnson John Adams 232 Audric Estime Mike Graben 233 Ja'Tavion Sanders Adam Hellwig 234 Adonai Mitchell Brett Kundtz Running backs and receivers in the final rounds of an 18-team guillotine draft are pure Hail Mary selections and would likely require multiple things to happen in order to have fantasy relevance. Grabbing backup quarterbacks and tight ends might prove to be a better use of these draft slots, unless you can paint a picture where the RB or WR could have instant fantasy value for you. My Pick: Royals is a deep sleeper for the Chiefs. Worthy and Brown have both dealt with injuries at different points in training camp, while Rice could face a possible suspension to start the year. If any of those players miss time, the fourth-rounder Royals is the next man up. He probably won't ever crack my starting lineup, but there's at least a path to him returning value in the opening weeks. Round 14 Pick Player Team 235 Amari Cooper Brett Kundtz 236 Russell Wilson Adam Hellwig 237 Antonio Gibson Mike Graben 238 Roman Wilson John Adams 239 Tutu Atwell Jason Jung 240 Jalen Nailor Dan Titus 241 Calvin Austin III Dan Harris 242 Phil Mafah Collin Brennan 243 Daniel Jones Justin Boone 244 Keaton Mitchell Scott Pianowski 245 Tory Horton Brett Rader 246 Elic Ayomanor Jason Klabacha 247 Jermaine Burton Mo Castillo 248 Ollie Gordon II Trevor Brigham 249 Theo Johnson Matt Harmon 250 JuJu Smith-Schuster Aaron Tan 251 Tyler Higbee Jonathan Bassey 252 Cole Kmet Ben Zweiman Nailor is a very sneaky pick here and I was disappointed he didn't fall to me in the final round. Similar to the Chiefs scenario, Minnesota might be without Addison early in the season if the league issues a suspension before then. That would create an opportunity for Nailor to temporarily play the No. 2 receiver role in the Vikings offense. Nailor caught touchdowns in both games Addison missed last year. My Pick: With Richardson playing well so far in camp, Jones seems like the underdog to start for the Colts in Week 1. Even so, I didn't take a second quarterback and wasn't particularly thrilled by any of the names still available when I was on the clock at 243rd overall. So, taking a QB with a chance to win himself a starting job over the next month made sense.
